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Kchikach, Nisrine, Hassan Ibouh, Abderrahim Benali, Anas Charbaoui, and Abdelhafid El Alaoui El Fels. "Digital Promotion of Geoheritage along a Tourist Route in M’Goun UNESCO Geopark (Central High Atlas, Morocco) and Visitor Typology Analysis." Geosciences 14, no. 6 (May 23, 2024): 141. http://dx.doi.org/10.3390/geosciences14060141.
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In the digital era, highlighting the heritage resources of a mountainous region involves describing and advertising them to promote their visibility and attractiveness. Previous studies mainly assess the natural resources of such regions through a multi-indicator descriptive evaluation. This study aims to develop an effective evaluation of such indicators along the main tourist route of the M’Goun UNESCO Global Geopark, located in the central High Atlas of Morocco. The implementation of an experiential method to assess the tourism characteristics of this region is a notable aspect of our study. It includes analyzing the criteria for choosing this destination by segmenting tourists’ consumption experiences. Statistical data analysis has identified five dimensions of destination choice and four visitor groups. Additionally, we created an interactive map and made it accessible online to promote the natural geoheritage of this region. This article proposes to discuss the findings of this research and their applicability in terms of tourism destination management and decision-making, which can assist local governments in allocating tourism resources and land use rationally.
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Wang, Xueyi, Mingchun Li, Taiyi He, Ke Li, Shengzhe Wang, and Haoxiang Zhao. "Regional population and social welfare from the perspective of sustainability: Evaluation indicator, level measurement, and interaction mechanism." PLOS ONE 19, no. 1 (January 11, 2024): e0296517. http://dx.doi.org/10.1371/journal.pone.0296517.
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Key to regional sustainable development are the development and interplay of population dynamics and social welfare, each playing a significant role. As a representative region with demographic characteristics such as negative population growth and large labor outflow, the development and interaction between population and social welfare in Nanchong deserve in-depth exploration. This article takes the development of population and social welfare in Nanchong as the research object, and constructs an evaluation indicator system of population and social welfare through research backtracking, and uses entropy method and coupling coordination model to measure the development level and interactive effect of population and social welfare in Nanchong from 2010 to 2021. The research results show that: Firstly, the comprehensive evaluation results of population in Nanchong shows a linear upward trend, which indicates the stable positive effect of population structure and distribution, the gradual improvement effect of population quality effectively compensate for the weakening effect of population quantity, thus achieving the positive development of population. Secondly, the comprehensive evaluation results of social welfare in Nanchong shows an exponential upward trend, which indicates the social welfare has maintained a rapid growth momentum in various dimensions and the long-term positive effects have completely absorbed the negative effects, thus achieving the positive development of social welfare. Thirdly, during the sample period, the population and social welfare in Nanchong consistently maintained a high level of interaction strength, with factors diffusing and integrating. On this basis, the diffusion theory is used as an empirical reference to construct three interactive mechanisms between the population and social welfare in Nanchong and the implications are inferred from the empirical results.
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Babasanya, Adeyemi Olayiwola, Babatunde Adekunle Okuneye, and Joseph Nwabueze Amaefule. "Interacting labour force and Human Capital Development Effects on Manufacturing Sector Productivity." ETIKONOMI 24, no. 1 (March 9, 2025): 221–32. https://doi.org/10.15408/etk.v24i1.38648.
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Research Originality: The adoption of technology in the industrial world requires a high-quality workforce. This research provides a novelty by testing human capital development against the output of the manufacturing industry.Research Objectives: This study analyzes the interactive impact of the industrial labor force and human capital development on manufacturing sector output in the West African Sub-Region from 1989 to 2022.Research Methods: The study adopted an ex post facto research design. The data used for analysis was sourced from the World Development Indicator (WDI), and the Panel ARDL method was employed to investigate the interactive impact of industrial labor force and human capital development on manufacturing output..Empirical Results: The results suggest that labor force and human capital had an interactive negative, insignificant impact on manufacturing output in the short run, while in the long run, the interaction of labor force and human capital had a significant favorable influence on the manufacturing sector's output. The composite human capital index had no significant impact on output in the manufacturing sector in both the short run and the long run.Implications: Policymakers should focus on developing initiatives that will enhance the labor force's skill sets and align them with the needs of the manufacturing sector.JEL Classification: J21, O14, O55How to Cite:Babasanya, A. O., Okuneye, B. A., & Amaefule, J. N. (2025). Interacting Labor Force and Human Capital Development Effects on Manufacturing Sector Productivity. Etikonomi, 24(1), 221 – 232. https://doi.org/10.15408/etk.v24i1.38648.
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Conway, Matthew Wigginton, Andrew Byrd, and Marco van der Linden. "Evidence-Based Transit and Land Use Sketch Planning Using Interactive Accessibility Methods on Combined Schedule and Headway-Based Networks." Transportation Research Record: Journal of the Transportation Research Board 2653, no. 1 (January 2017): 45–53. http://dx.doi.org/10.3141/2653-06.
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There is a need for indicators of transportation–land use system quality that are understandable to a wide range of stakeholders and that can provide immediate feedback on the quality of interactively designed scenarios. Location-based accessibility indicators are promising candidates, but indicator values can vary strongly depending on time of day and transfer wait times. Capturing this variation increases complexity, slowing calculations. This paper presents new methods for rapid yet rigorous computation of accessibility metrics, allowing immediate feedback during early-stage transit planning while being rigorous enough for final analyses. The approach is statistical, characterizing the uncertainty and variability in accessibility metrics related to differences in departure time and headway-based scenario specification. The analysis was carried out on a detailed multimodal network model including both public transportation and streets. Land use data were represented at high resolution. These methods were implemented as open-source software running on a commodity cloud infrastructure. Networks were constructed from standard open data sources, and scenarios were built in a map-based web interface. A case study is presented, describing how these methods were applied in a long-term transportation planning process for an urbanized, polycentric Randstad region in the Netherlands.
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Cho, J. R., H. S. Jeong, N. J. Kim, and K. W. Kim. "Application of STOM to the Optimal Tire Contour Design by Introducing the Aspiration-level Indicator." Tire Science and Technology 30, no. 4 (October 1, 2002): 265–88. http://dx.doi.org/10.2346/1.2135258.
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Abstract Many tire performances are associated with the tire design, among which maneuverability and tire durability become major ones to be considered. The former performance is determined by the tension-value distribution along the sidewall carcass, and the latter by the peak strain energy density in the belt edge region. These two mechanical quantities are closely related to the sidewall carcass contour, so that the above-mentioned two performances could be improved by sidewall contour optimization. Unfortunately, however, this kind of multi-objective optimization requires interactive methods, for which the designer's decision-making is involved, owing to the existence of multi-peaks. In this study, we basically apply the satisficing trade-off method (STOM), but we intend to systemize it more by introducing aspiration-level indicators that control the entire optimization process. Through numerical experiment, we confirm that the proposed refined STOM leads systematically and efficiently to a nearly optimum sidewall contour.
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Kelly, Ruth, and Richard Moles. "The Development of Local Agenda 21 in the Mid-west Region of Ireland: A Case Study in Interactive Research and Indicator Development." Journal of Environmental Planning and Management 45, no. 6 (November 2002): 889–912. http://dx.doi.org/10.1080/0964056022000024398.
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Wang, Yuxin, Tao Wang, Weijun Gao, and Yuang Guo. "Assessment of Urban Sustainability and Coupling Coordinated Development: An Empirical Study in Anhui Province, China." Sustainability 16, no. 6 (March 8, 2024): 2282. http://dx.doi.org/10.3390/su16062282.
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The conflict between economic development and environmental degradation has significantly impeded urban development. Currently, the Chinese government is actively promoting the comprehensive transformation of new-type urbanization. This study measured the quality of urbanization and its degree of coupling coordination in 16 cities in Anhui Province from 2010 to 2020, utilizing 32 indicators across six dimensions: economic development (ED), infrastructure (INF), population development (PD), social development (SD), environmental protection (EP) and urban–rural integration (URI). Additionally, a novel method of sequential relationship analysis, oriented towards “interaction–change” was introduced to calculate indicator weights, which take the interactive degree among various indices and dependencies between neighboring cities into account. The results indicate that urban development in Anhui Province is imbalanced due to a low degree of resource matching. However, there is a positive trend in the relationship between urbanization quality and economic development. Furthermore, although the coupling coordination degree of urbanization quality in most cities fluctuates at different scales, it is still necessary to narrow and optimize the gap between subsystems. For one thing, the above achievements may provide reference for breaking through the traditional static weighting method from the theoretical level. For another, it can also provide decision-makers with valuable insights to establish an intercity complementary management system, so as to achieve sustainable development across the entire region.
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Tanwir, Taufik Dwi Saputra, and Johan Setiawan. "Visualisasi Perbandingan Anggaran Pendapatan Dan Belanja Daerah (APBD) Pemerintah Provinsi Kabupaten Dan Kota Di Indonesia Periode 2010-2014." Jurnal ULTIMA InfoSys 7, no. 2 (December 12, 2016): 100–105. http://dx.doi.org/10.31937/si.v7i2.547.
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Regional Income and Expenditure Budget (APBD) is a very important thing in the progress of a region. APBD is an indicator of public welfare level in a region. Data of APBD that is shared on the official website data.go.id is still hard to read and understood, and for that reason the author will compare the budget value of APBD in every province, district, and city by using visualization. The method the author used is Visual Data Mining by creating an APBD visualization dashboard according to provinces, districts, and cities. Tableau Software is used to create the dashboard because Tableau allows an interactive, easy-to-use dashboard for analyzing lots of data. Besides, Tableau is already supported by many platform such as web based, iPhone app, also Android app, and this application is one of the common for visualization so there are a lot of sources to get more information and to develop visualization. The result of this research could help the government in reevaluating the APBD financial budget in every region in Indonesia. This research can help the people to know the APBD budget applied in every region.
Index Terms-Regional Income and Expenditure Budget (APBD), financial, visualization.
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Apshikur, Baitak, Murat Alimkulov, Azamat Kapasov, and Indira Toleubekyzy. "Innovative technology for assessing the degradation of the Earth by sand desertification of soils with specialized processing of space materials." InterCarto. InterGIS 30, no. 2 (November 2024): 223–35. https://doi.org/10.35595/2414-9179-2024-2-30-223-235.
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This study provides an assessment of the process of sand landslide degradation of the Abay Region of the Republic of Kazakhstan and space materials (RS-Remote Sensing, GIS-Geographic Information Systems and machine learning data of the soilgrid platform, QGIS Trends). Using the technology of the Earth module and field research, the amount of landslide sand g/kg at a depth of 5 cm was determined and the SDG land degradation target, the land productivity indicator (productivity), the indicator of the impact assessment of the change in the type of surface cover (land cover), the indicator of the change in the carbon stock of soil organic matter (carbon velocity) were calculated in the machine learning module, which uses integrated research to monitor, map and quantify the threat of land degradation. The study was analyzed and obtained between 2015 and 2022 by interpreting data from machine learning images with visual, interactive interpretation. The data of dynamic reverse changes from Sandy and worn areas, in these two stages, were obtained by overlapping the database. The results of the study showed that in the proportion of years obtained, 3009.29 km2 of newly degraded land was formed, and most of the newly degraded land is the area where sand landslides occur, as is known from the quantitative data of the study, it was found that the share of sand landslide degradation of the surveyed 272 410.4 km2 area within 7 years is 4.56 % of the total area. By analyzing the results of the study, some constructive measures were proposed aimed at ecological protection of forest clusters in the North-West of Abay Region and planting new forest seedlings.
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Zhao, Fanxiang, and Joonyoung Han. "Interactive Relationship and Coordinated Development of Sports Tourism and Ecological Civilization in the Yellow River Basin." Sustainability 17, no. 1 (December 26, 2024): 82. https://doi.org/10.3390/su17010082.
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In the context of economic structural transformation and upgrading in the Yellow River Basin, this study explored the interaction between sports tourism and ecological civilization in the region. By constructing an indicator system for sports tourism and ecological civilization and applying the entropy weight method, coupling coordination model, and using the obstacle degree model, sports tourism development and ecological civilization construction in each province of the Yellow River Basin were quantitatively analyzed. The results revealed upward trends in both sports tourism and ecological civilization construction in the Yellow River Basin. According to the coupling coordination model, the most significant growth in coupling coordination degree has been observed in Sichuan, Gansu, Shaanxi, and Henan provinces, whereas Qinghai and Inner Mongolia have seen the least change in their coordination level. Government spending on sporting events and per capita water resources was identified as the main factors influencing the development of sports tourism and ecological civilization in the Yellow River Basin. Based on these findings, policy recommendations are proposed to promote the coordinated development of sports tourism and ecological civilization in the Yellow River Basin.
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Anetor, Friday Osemenshan. "Human capital threshold, foreign direct investment and economic growth: evidence from sub-Saharan Africa." International Journal of Development Issues 19, no. 3 (June 4, 2020): 323–37. http://dx.doi.org/10.1108/ijdi-01-2020-0014.
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Purpose The purpose of this study is to analyze the mediating effect of human capital in foreign direct investment (FDI) and growth nexus and establish the threshold of human capital in 28 sub-Saharan African (SSA) countries over the period 1999–2017. Design/methodology/approach This study used a secondary source of data obtained from the World Development Indicator and used the system generalized method of moments and dynamic panel threshold regression (TR) to analyze the data. Findings This study found that FDI and human capital have no significant impact on the economic growth in SSA. However, when the interactive term of FDI and human capital was introduced in the model, the economic growth effect of FDI became positive and significant, while the coefficient of the interactive term is negative and significant. This presupposes that SSA does not have a sufficient high-quality workforce that can absorb and transform the spillover benefits of FDI into economic growth. As a result, this study applied the TR to determine the minimum level of human capital and established a threshold level at 63.91%. Practical implications It, therefore, becomes pertinent for policymakers in the SSA region to have a human capital policy to build up their absorptive capacities to fully take advantage of FDI. Originality/value The contribution of this study lies in establishing a threshold of human capital at 63.91% for countries in the SSA region.
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Ayana, Isubalew Daba, Wondaferahu Mulugeta Demissie, and Atnafu Gebremeskel Sore. "Effect of government revenue on economic growth of sub-Saharan Africa: Does institutional quality matter?" PLOS ONE 18, no. 11 (November 29, 2023): e0293847. http://dx.doi.org/10.1371/journal.pone.0293847.
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Following the approval of sustainable development goals at the global level, the link between fiscal policy, institutional quality, and economic growth has attracted special attention in economic literature. This study scrutinizes the effect of government revenue-institutional quality interaction on the economic growth of 43 Sub-Saharan Africa countries for the period of 2012–2022. Methodology-wise, the study employed the System Generalized Method of Moment (SGMM) to analyze the panel data gained from dependable data sources; the World Development Indicator and the Heritage Economic Freedom Index. The novelty of this study emanates from the estimation technique designated and the introduction of revenue-institutional quality into the economic growth model of SSA. The result of the study reveals that government revenue adversely affects economic growth while institutional quality positively enhances economic growth before interacting with each other. However, the interactive coefficient of government revenue and economic growth positively affected the real GDP growth rate of SSA countries over the study periods. Precisely, before interacting with institutional quality, a percentage change in government revenue, keeping all other things constant, leads to a 0.0866 percent decline in economic growth while it marks a 0.2329 percent upsurge in economic growth in the presence of institutional quality. The result of the study further shows that government revenue promotes the economic growth of the region when combined with institutional quality. On the other hand, foreign direct investment and openness to trade were the key sources of economic growth whereas the population growth rate adversely impacted economic growth in SSA countries. The policy implication of the study is that SSA needs to strengthen government revenue management. Further, the finding of the study implies that SSA countries need to improve institutional quality through promoting efficiency of the regulatory quality and the size of the SSA governments. In addition to this, the fast real GDP growth rate of SSA countries demands improved institutional quality indicators such as the rule of law and extended access to the open market.
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Ледовская, Татьяна Витальевна, Андрей Сергеевич Морозов, and Никита Эдуардович Солынин. "Interactive simulator as a means of formative assessment." Pedagogical Review, no. 4(50) (September 4, 2023): 141–52. http://dx.doi.org/10.23951/2307-6127-2023-4-141-152.
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Показано, что в современной ситуации развития системы образования необходимы новые способы оценивания, благоприятствующие реализации принципов динамики, развития и накопления опыта, расширения образовательных результатов обучающимися. Формирующее оценивание оказывается очень эффективной технологией, так как является одним из вариантов, который применим при обучении на разных уровнях образования, специалистов разного профиля, способствует развитию личности и деятельности участников образовательных отношений, так как построен на принципе обратной связи. Отмечается, что принцип диалоговости максимально отвечает тем задачам, которые приходится решать в условиях новых ФГОС учителям и преподавателям высшей школы. Представлены результаты применения диалоговых тренажеров, разработанные авторским коллективом, для формирования и оценки уровня освоения универсальных педагогических компетенций, которые позволяют говорить о том, что отсутствуют различия по регионам. Также результаты не зависят от контингента учащихся и квалификации преподавателей, что является показателем их устойчивости и надежности. Значимые различия по курсам, позволившие выявить закономерность в увеличении времени решения и, соответственно, более высоких баллах от первого курса к четвертому, позволяют говорить о возможности тренажера отследить развитие компетентности будущих педагогов, формирование у них ответственности и более серьезного отношения к педагогическим ситуациям. Таким образом, диалоговые тренажеры являются эффективным средством формирующего оценивания, потому что являются интерактивными, содержат в себе обратную связь, в них заложены элементы, мотивирующие студентов к дальнейшему профессиональному развитию. The article shows that in the current situation of the development of the education system, new assessment methods are needed that favor the implementation of the principles of dynamics, development and accumulation of experience, expansion of educational results by students. Formative assessment turns out to be a very effective technology, as it is one of the options that is applicable when teaching at different levels of education, specialists of different profiles; promotes the development of personality and activity of participants in educational relations, as it is built on the principle of feedback. It is noted that the principle of dialogism maximally meets the tasks that teachers and teachers of higher education have to solve in the conditions of the new Federal State Educational Standards. The results of the use of interactive simulators for the formation and assessment of the level of development of universal pedagogical competencies developed by the author’s team are shown, which allow us to say that there are no differences by region, do not depend on the contingent of students and the qualifications of teachers, which is an indicator of their stability and reliability. Significant differences in courses, which allowed us to deduce a pattern in increasing the decision time and, accordingly, higher scores from the 1st course to the 4th, allows us to talk about the possibility of the simulator to track the development of the competence of future teachers, the formation of their responsibility and a more serious attitude to pedagogical situations. Thus, interactive simulators are an effective means of formative assessment, because they are interactive, contain feedback, and they also contain elements that motivate students to further professional development.
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Gusta, Immanuel Luigi Da, and Johan Setiawan. "Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015." International Journal of New Media Technology 4, no. 2 (December 22, 2017): 87–93. http://dx.doi.org/10.31937/ijnmt.v4i2.785.
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The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test).
Index Terms—Dashboard, data visualization, disease, malaria, Tableau
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[3] V. Friedman, Data Visualization Infographics, Monday Inspirition, 2008.
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[7] S. Darudiato, "Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care," Seminar Nasional Informatika 2010, pp. E-353, 2010.
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Liang, Xiang San, and Allan R. Robinson. "A Study of the Iceland–Faeroe Frontal Variability Using the Multiscale Energy and Vorticity Analysis." Journal of Physical Oceanography 34, no. 12 (December 1, 2004): 2571–91. http://dx.doi.org/10.1175/jpo2661.1.
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Abstract The multiscale nonlinear interactive Iceland–Faeroe frontal (IFF) variability during 14–22 August 1993 is investigated for complex dynamics with the localized multiscale energy and vorticity analysis (MS-EVA). In terms of multiscale window transform, the cold meandering intrusion observed in the IFF experiment is represented on a mesoscale window. The resulting mesoscale energetics for the deep layer show an isolated center of transfer of potential energy from the large-scale window into the mesoscale window in the study domain. This large-to-mesoscale potential energy transfer, or BC for short, is a baroclinic instability indicator by the MS-EVA-based stability theory. Signatures on other energetics maps and the reconstructed mesoscale structures all support this baroclinic instability. On the BC map, the transfer hotspot originally resides near the western boundary. It travels along the front into the interior domain in a form of convective instability and then, on 19 August, changes into another instability that is absolute in character. Correspondingly, disturbances switch from a spatial growing pattern into a time growing mode, culminating on 21 August, the day just before the intrusion matures. The whole process lasts for about five days, limited within a small horizontal region and beneath a depth of approximately 150 m. By interaction analysis, the energy locally gained from this process goes to the submesoscale window as well, but most of it remains in the mesoscale window, serving to fuel the growth of the meandering intrusion.
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Naumov, I. V., and M. N. Polkovskaya. "On the Rural Electric Networks Reliability Level Issue." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012180. http://dx.doi.org/10.1088/1742-6596/2096/1/012180.
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Abstract The structure study, condition and 10 kV electric networks reliability level in the Irkutsk region for the period from 2016 to 2020 is carried out. The analysis is based on real data on the studied electric networks published in the open press. The Interactive Matlab system libraries and interfaces were used to calculate and analyze the studied indicator. The considered electric networks structure has investigated, algorithms and computer programs for the Matlab graphic editor are compiled with the help which changes time diagrams in the failures number, the interruptions time and the under-output electricity amount for each year months are constructed. The year months in which the highest damage occurs were determined. The electrical networks wear is considered, as well as the repair plan implementation for the main equipment. The reliability level according to the established indicators has analyzed, the main reasons for equipment failure are considered. The characteristics of improving considered electrical networks functioning are presented. Based on the conducted studies, it was found that the most damaged the considered overhead lines elements are: wires, supports, insulators, and switching devices. The characteristic reasons that lead to their damage are: wind load, damage to switching devices. The greatest damage is the Angarsky and Irkutsky branches networks characteristic (the average annual value all failures are 26.4 and 23.9%). The Kirensky and Cheremkhovsky branches networks are the least damaged annually. The obtained data probabilistic-statistical and correlation analysis, as well as the emergency outages risks analysis for the future, taking into account the seasonal component, is carried out.
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Botnaryuk, Marina, and Maria Klassovskaya. "Recommendations for the development of mountain tourism in terms of the region characteristics." Sustainable Development of Mountain Territories 16, no. 1 (March 30, 2024): 237–47. http://dx.doi.org/10.21177/1998-4502-2024-16-1-237-247.
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Introduction. Currently, one of the most popular destinations among tourists is mountain tourism. Moreover the territory of the North Caucasus is of particular interest due to its unique landscape, the presence of mineral springs and other natural resources, as well as cultural attractions. Considering the rich tourism potential of this region, ethno-cultural, rural, environmental and adventure tourism is successfully developing. As a separate relatively new direction, we will highlight geological tourism, in which travelers not only enjoy nature, but also gain new knowledge about the structure of the Earth, study the relief, rocks, soil and vegetation. The mountainous terrain promotes the active development of rock climbing and the hikes’ organization with various levels of difficulty. Thus, today the North Caucasus is open to the tourism’s development of various types and deservedly enjoys increased demand for tourism services. However its potential is not fully exploited. The issues of transport infrastructure and tourist awareness about attractions and constantly updated routes have not been sufficiently developed. This is especially true for spontaneous tourists who prefer to act independently. Materials and methods. When conducting the research, general logical methods, a systematic approach, and content analysis of scientific literature on the issues under study were used. In order to study individual issues in more detail, a survey was conducted. A total of 279 respondents were interviewed. The questionnaire was sent out through the digital tool “Yandex.Forms” and includes answers from respondents living in the Central, Northwestern, Southern, Volga and Ural federal districts. Results. The North Caucasus is considered one of the popular tourist regions, attracting a significant number of tourists for many decades, not only our compatriots, but also travelers from all over the world. Of particular interest is the tourism and recreational potential of the Republic of North Ossetia-Alania, which is rich in natural resources and cultural and historical heritage. The study revealed interest in solving the issue of further strengthening the tourism potential of the region on the part of not only the main participants, which are buyers and services’ sellers, but also representatives of the local administration and the state. For example, the Strategy for the development of tourism in the North Caucasus federal district until 2035 involves the formation of measures to ensure the tourists’ safety and the operation of tourist infrastructure, and improve the services’ quality. The results of the survey made it possible to determine that, in modern realities, many tourists prefer to organize their holidays on their own. It has also been established that a significant part of these tourists are young people under the age of 20. Discussion. Analysis of the data obtained by the authors during desk and field research allowed us to determine that one of the ways to increase the region’s attractiveness for tourists, especially spontaneous ones, is the task of timely informing them about new attractions and routes. This task must be solved comprehensively, through the interaction of state regulatory authorities, local authorities and travel companies. To do this, when assessing the natural and recreational resources of the region, it is recommended to calculate the integral indicator taking into account constantly updated operational data. Conclusions. The authors draw the following conclusion. In order to ensure the safety of tourists and increase the attractiveness of the region, it is necessary to develop an information resource that displays the maximum number of attractions in the North Caucasus, which will contribute to the construction of optimal and also the most interesting routes. It is proposed to create and place in the public domain an interactive map that will allow receiving constantly updated data, which will increase the interest of potential travelers and ensure the full disclosure of the potential for a particular region. Resume. In order to promote the region on the tourism services market in the era of the development of information technology and youth activity, we consider it advisable to provide access to tourist sites online, which will attract an additional flow of visitors. The interactive map must include the location of cultural and historical monuments, as well as types of tourism implemented in a certain area. Suggestions for practical applications and future research directions. The proposed recommendations will make it possible to regulate tourist flows, increasing the attractiveness of the region, and provide such services at a level that best satisfies the needs of modern society.
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ÁCS, ÉVA, ANGÉLA FÖLDI, CARLOS E. WETZEL, CSABA F. VAD, KEVE T. KISS, PÉTER DOBOSY, ZSUZSA TRÁBERT, ISTVÁN GRIGORSZKY, ATTILA ENGLONER, and LUC ECTOR. "Nitzschia austriaca Hustedt: a characteristic diatom of Hungarian inland saline waters including a morphological comparison with the type material." Phytotaxa 308, no. 1 (June 2, 2017): 54. http://dx.doi.org/10.11646/phytotaxa.308.1.4.
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A detailed scanning electron microscopic investigation was carried out to clarify the taxonomic status of a small sigmoid Nitzschia species, a potential indicator of Central European soda waters. We found this taxon to be one of the dominant epiphytic diatoms collected from sodic bomb crater ponds at Apaj (Hungary). The large population allowed for a morphometric comparison based on frustule ultrastructure with the type material of the most similar species, Nitzschia austriaca Hustedt that was originally described from a soda pan in the region. The results clearly demonstrated an overlap between the Apaj population and the type material of N. austriaca (based on NMDS analysis), therefore we argue that they represent the same taxon. An emended diagnosis of N. austriaca is given. Total suspended solids and total phosphorous proved to be the most important factors predicting the occurrence of the species, with possible interactive effects of conductivity and pH. We then expanded the distribution of the species by revisiting data originating from previous large-scale surveys targeting sodic habitats in Hungary. On the basis of our results, N. austriaca is a characteristic species for Central European soda waters, including the protected astatic soda pans, indicating their typical chemical and physical characteristics.
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Riadi, Bambang, Erwin Hermawan, and Yayan Hadiyat. "Visualization Of Spatial Distribution Of Village Development Index A Review Of Location Data In West Java Province." JITSI : Jurnal Ilmiah Teknologi Sistem Informasi 5, no. 3 (July 22, 2024): 114–21. http://dx.doi.org/10.62527/jitsi.5.3.248.
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The spatial distribution of the Village Development Index (IDM) is the result of village development analysis for the purposes of mapping and assessing variations in the level of village development results in a region. The aim of the research is to analyze the spatial distribution of IDM, which is a comprehensive indicator that covers social, economic and environmental aspects in assessing village development progress. The methodology used in this research includes spatial analysis using a spatial data integration system with secondary data (statistical data). The combination of the internet of things (IoT) with WebGIS makes it possible to integrate data from various sources, in the form of spatial and non-spatial data into one easily accessible platform. This allows for more in-depth and accurate data analysis; and it is possible to disseminate information quickly and widely because it can be accessed by various stakeholders. That spatial distribution of the IDM can be used as an important tool in planning for a more inclusive and sustainable regional development. With WebGIS, data collected from IoT devices can be processed and analyzed to producing interactive maps and reports that will help in a better decision-making process, the research results can be accessed at https://jabar-e.netlify.app.
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Ahmad, Raheelah, Nina Zhu, Rishabh Jain, Jyoti Joshi, Mirfin Mpundu, Paola Amigo Gutierrez, Alison Holmes, Tillman Weyde, and Rifat Atun. "Systems Policy Analysis for Antimicrobial Resistance Targeted Action (SPAARTA): A Research Protocol." Wellcome Open Research 9 (December 2, 2024): 700. https://doi.org/10.12688/wellcomeopenres.22923.1.
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Background The majority of countries (64%) have an Antimicrobial Resistance (AMR) National Action Plan (NAP V.1.0), but many remain unimplemented, and lack funding for interventions. Intervention selection requires a systematic approach to explain and predict progress. Looking beyond AMR is important to ensure the capture of systemic factors at the country level, which can impede or accelerate success. Aim To provide innovative policy analysis to allow country comparison and refine targeted action, while developing and implementing NAPs (V.2.0). Methods Mixed-method multi-country case study of policies and implementation strategies to address AMR across One Health. Starting with 17 countries, the sample includes each WHO region and emerging economies. This investigation of structures, processes, and outcomes has three components: a. Textual analysis of peer-reviewed literature, policy documents, global and national progress reports, validated by global and in-country experts. An all-language article search conducted for 2000-2024, using broad search terms: ‘Antimicrobial resistance policies’, ‘national action plan’, ‘surveillance’, ‘AMR systems’ supplemented by hand searches. Deductive analysis using multi-disciplinary frameworks including the Expert Consensus for Implementation Research (ERIC). b. Longitudinal quantitative analysis assessing country contextual determinants and Antimicrobial Use (AMU) and AMR outcomes. Data from global health indicator repositories and international and national AMU and AMR surveillance networks are analysed using econometrics and machine learning approaches. c. Interactive Tableau dashboard development to display insights from a & b to allow visualisation and comparison of case-country AMR intervention context and components. Discussion This protocol provides a systematic, transparent approach for countries to benchmark their own AMR strategies. The interactive dashboard will allow comparisons between country clusters by geography or economy, and enable rapid knowledge mobilisation among strategic and operational stakeholders including policy makers and planners. This protocol facilitates others to perform this structured assessment and nominate their country for the next wave of analysis.
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Manshin, Roman V., and Siqi Xu. "Development of border regions economic interaction: mechanisms and models." RUDN Journal of Economics 31, no. 2 (December 15, 2023): 268–81. http://dx.doi.org/10.22363/2313-2329-2023-31-2-268-281.
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In order to develop cross-border circulation of goods and people, the authorities of a country or region can take various measures aimed at creating favorable conditions for crossborder exchange and reducing barriers and restrictions that impede its development. The article explores the mechanisms of cross-border cooperation and proposes a new grouping of them. The author made an attempt to develop a new methodological approach to modeling the development of commodity exchange in the border regions, based on the development of two complementary models - descriptive and prescriptive type. The peculiarity of the author’s approach is to distinguish between target impacts on the result and the “natural” trend in the development of commodity flows and assess the impact of the consequences of target impacts. The proposed descriptive model makes it possible to identify and explain the determinants of the advance or lag in the growth rates of the region’s import-export operations in comparison with the growth rates of the gross regional product. In the descriptive model, there are no estimated indicators that would reflect the level of administrative, logistical, and other barriers in the trade and economic relations of the border regions. To overcome this shortcoming, in combination with the first model, the author proposes to use another model - a normative one, in which the same estimated indicator is chosen as two factor indicators - an aggregated indicator of barriers to cross-border turnover. The idea is that the “height of the barriers” should be measured separately - on each side of the common border of the two border regions. The use of two models in combination allows a better understanding of the reasons for the change in indicators of cross-border transactions in the region. On this basis, decision makers can develop and implement a “road map” to reduce administrative, bureaucratic barriers at border checkpoints.
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Meng, Xiaoyu, Xin Gao, Shengyu Li, and Jiaqiang Lei. "Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–2015." Remote Sensing 12, no. 4 (February 11, 2020): 603. http://dx.doi.org/10.3390/rs12040603.
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As a result of the unique geographical characteristics, pastoral lifestyle, and economic conditions in Mongolia, its fragile natural ecosystems are highly sensitive to climate change and human activities. The normalized difference vegetation index (NDVI) was employed in this study as an indicator of the growth status of vegetation. The Sen’s slope, Mann–Kendall test, and geographical detector modelling methods were used to assess the spatial and temporal changes of the NDVI in response to variations in natural conditions and human activities in Mongolia from 1982 to 2015. The corresponding individual and interactive driving forces, and the optimal range for the maximum NDVI value of vegetation distribution were also quantified. The area in which vegetation was degraded was roughly equal to the area of increase, but different vegetation types behaved differently. The desert steppe and the Gobi Desert both in arid regions have degraded significantly, whereas the meadow steppe and alpine steppe showed a significant upward trend. Precipitation can satisfactorily account for vegetation distribution. Changes of livestock quantity was the dominant factor influencing the changes of most vegetation types. The interactions of topographic factors and climate factors have significant effects on vegetation growth. In the region of annual precipitation between 331 mm and 596 mm, forest vegetation type and pine sandy soil type were found to be most suitable for the growth of vegetation in Mongolia. The findings of this study can help us to understand the appropriate range or type of environmental factors affecting vegetation growth in Mongolia, based on which we can apply appropriate interventions to effectively mitigate the impact of environmental changes on vegetation.
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JI, WENXIAO, Wen G. Jiang, and Tracey A. Martin. "Abstract P2-26-20: Marvel D3 and its associated junctional proteins in breast cancer." Cancer Research 83, no. 5_Supplement (March 1, 2023): P2–26–20—P2–26–20. http://dx.doi.org/10.1158/1538-7445.sabcs22-p2-26-20.
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Abstract Marvel D3 and its associated junctional proteins in breast cancer Wenxiao Ji, Wen G. Jiang, Tracey A. Martin CCMRC, Cardiff University School of Medicine, Cardiff, Wales, UK Introduction. Marvel (Membrane Associated Domain Containing) proteins are a small family of proteins that are concentrated at the tight junction (TJ) region of epithelial and endothelial cells. They are important players in the formation and regulation of TJs. The Marvel protein family has three members, Marvel-D1, Marvel-D2 and Marvel-D3, all known to be TJ components. Marvel-D3 is more prominent in TJ regulation, by interacting widely with other proteins that co-localised at TJs. In the present study, we have examined the expression of Marvel-D3 and its splicing variants, their relationship with other known interactive TJ partners in breast cancer and in disease progression and clinical outcome. Methods. Marvel-D3 and its variants were quantified in a breast cancer cohort that contained both normal and tumour tissues. The expression was analysed together with the known Marvel-D3 interactive molecules available in our database of the same cohort. The profile of the expression of the molecules was also integrated to search for a pattern of the expression that may have clinical significance including the survival of the patients. Results. Marvel-D3 had significantly high levels in breast cancer tissues than normal tissues (p=0.011). The difference between normal and tumour tissues for two Marvel-D3 variants were not statistically significant. Of all the known Marvel-D3 interactive proteins that were available for analyses, we identified thirteen with viability in integrated analyses; they include the JAM family members, Marvel-D2, occludin, the zonula occluden family members, small number of the claudin family members and cingulin, all being important TJ components. The integrated expression of these Marvel-D3 partners presented a highly significant predictive power for the overall survival of the patients (RUC=0.821, p< 0.0001). Stratifying the patients based on the profile has a significant value in evaluating survival (survival rate 95.7% with favourable expression versus 57.1% unfavourable, during the followup period). This predictive power is independent of other clinical and hormonal receptor status (p< 0.001, HR=1.226 (95% CI 1.094-1.373)). We have also noted that this predictive value is applicable to subtypes of the breast cancer and hormone receptor status with similar predictive power. Conclusion. Expression of Marvel-D3, a TJ component, together with its interactive TJ partners, including both transmembrane and intracellular subcoat proteins, form an important clinical indicator for clinical progression of breast cancer. Citation Format: WENXIAO JI, Wen G. Jiang, Tracey A. Martin. Marvel D3 and its associated junctional proteins in breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-26-20.
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Zhang, Shuhui, Yuke Zhou, Yong Yu, Feng Li, Ruixin Zhang, and Wenlong Li. "Using the Geodetector Method to Characterize the Spatiotemporal Dynamics of Vegetation and Its Interaction with Environmental Factors in the Qinba Mountains, China." Remote Sensing 14, no. 22 (November 16, 2022): 5794. http://dx.doi.org/10.3390/rs14225794.
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Understanding the driving mechanisms of vegetation development is critical for maintaining terrestrial ecosystem function in mountain areas, especially under the background of climate change. The Qinba Mountains (QBM), a critical north–south transition zone in China, is an environmentally fragile area that is vulnerable to climate change. It is essential to characterize how its ecological environment has changed. Currently, such a characterization remains unclear in the spatiotemporal patterns of the nonlinear effects and interactions between environmental factors and vegetation changes in the QBM. Here, we utilized the Normalized Difference Vegetation Index (NDVI), obtained from Google Earth Engine (GEE) platform, as an indicator of terrestrial ecosystem conditions. Then, we measured the spatiotemporal heterogeneity for vegetation variation in the QBM from 2003 to 2018. Specifically, the Geodetector method, a new geographically statistical method without linear assumptions, was employed to detect the interaction between vegetation and environmental driving factors. The results indicated that there is a trend of a general increase in vegetation growth amplitude (the average NDVI increased from 0.810 to 0.858). The areas with an NDVI greater than 0.8 are mainly distributed in the Qinling Mountains and the Daba Mountains, which account for more than 76.39% of the QBM area. For the entire region, the global Moran’s index of the NDVI is greater than 0.95, indicating that vegetation is highly concentrated in the spatial domain. The Geodetector identified that landform type was the primary factor in controlling vegetation changes, contributing 24.19% to the total variation, while the explanatory powers of the aridity index and the wetness index for vegetation changes were 22.49% and 21.47%, respectively. Furthermore, the interaction effects between any two factors outperformed the influence of a single environmental variable. The interaction between air temperature and the aridity index was the most significant element, contributing to 47.10% of the vegetation variation. These findings can not only improve our understanding in the interactive effects of environmental forces on vegetation change, but also be a valuable reference for ecosystem management in the QBM area, such as ecological conservation planning and the assessment of ecosystem functions.
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REDDY, BOOJALA V. B., and YIANNIS N. KAZNESSIS. "A QUANTITATIVE ANALYSIS OF INTERFACIAL AMINO ACID CONSERVATION IN PROTEIN-PROTEIN HETERO COMPLEXES." Journal of Bioinformatics and Computational Biology 03, no. 05 (October 2005): 1137–50. http://dx.doi.org/10.1142/s0219720005001429.
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A long-standing question in molecular biology is whether interfaces of protein-protein complexes are more conserved than the rest of the protein surfaces. Although it has been reported that conservation can be used as an indicator for predicting interaction sites on proteins, there are recent reports stating that the interface regions are only slightly more conserved than the rest of the protein surfaces, with conservation signals not being statistically significant enough for predicting protein-protein binding sites. In order to properly address these controversial reports we have studied a set of 28 well resolved hetero complex structures of proteins that consists of transient and non-transient complexes. The surface positions were classified into four conservation classes and the conservation index of the surface positions was quantitatively analyzed. The results indicate that the surface density of highly conserved positions is significantly higher in the protein-protein interface regions compared with the other regions of the protein surface. However, the average conservation index of the patches in the interface region is not significantly higher compared with other surface regions of the protein structures. This finding demonstrates that the number of conserved residue positions is a more appropriate indicator for predicting protein-protein binding sites than the average conservation index in the interacting region. We have further validated our findings on a set of 59 benchmark complex structures. Furthermore, an analysis of 19 complexes of antigen-antibody interactions shows that there is no conservation of amino acid positions in the interacting regions of these complexes, as expected, with the variable region of the immunoglobulins interacting mostly with the antigens. Interestingly, antigen interacting regions also have a higher number of non-conserved residue positions in the interacting region than the rest of the protein surface.
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Zhong, Mengying, Xinqing Shao, Ruixin Wu, Xiaoting Wei, Richard S. P. van Logtestijn, and Johannes H. C. Cornelissen. "Contrasting altitudinal trends in leaf anatomy between three dominant species in an alpine meadow." Australian Journal of Botany 66, no. 5 (2018): 448. http://dx.doi.org/10.1071/bt17247.
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Variation in leaf anatomical traits underpins the adaptations and phenotypic responses of plant species to their different natural environments. Temperature is a primary driver of plant trait variation along altitudinal gradients. However, other environmental drivers may also play important roles, and the interactions between drivers may have different effects on leaf anatomy for different species of the same larger clade. Such interactions might be especially important along shorter altitudinal (i.e. temperature) gradients. We predicted, therefore, that different monocot species could show idiosyncratic responses of leaf anatomical traits to a short altitudinal gradient. Moreover, for a species in which vegetative growth and reproduction are separated in time, its anatomical responses to altitude may differ and trade-offs between leaf and flowering stem anatomy may occur. To test these hypotheses, we examined leaf anatomy and δ13C signature (a possible indicator of anatomy-related water use efficiency or indicator of response to a decrease in CO2 concentration with altitude) of three dominant and widely distributed monocot species (Scirpus distigmaticus, Elymus nutans, Carex moorcroftii) from seven elevations in an alpine meadow on the Qinghai-Tibetan Plateau. In addition, we examined the flowering stem anatomy of S. distigmaticus, across a short altitudinal gradient (four elevations) in the same region. Leaf anatomical traits (e.g. epidermal cell area, epidermal cell thickness, cuticular layer thickness, xylem transect area, phloem transect area) varied with altitude, but the patterns varied substantially among species and among anatomical traits within species. Additionally, for S. distigmaticus, (allometric) coordination between leaves and flowering stems was apparent for xylem transect area and phloem transect area. Trade-offs between leaf and flowering stem traits were also found for epidermal cell area, epidermal cell thickness and mesophyll cell area. Leaves were more responsive to altitude in their anatomical traits than flowering stems in S. distigmaticus, perhaps reflecting their relatively short period of stem development during a climatically relatively favourable season compared with that for leaves, which already start growing earlier in the year. Further research is needed on the interactive effects of environmental variables, as well as vegetative versus reproductive phenology both across and within suites of species to better understand and upscale plant anatomical responses to climate warming in alpine environments.
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Prokhorenkov, Pavel A., Olesya G. Kirsanova, and Tatiana V. Reger. "Ensuring food security as the most important factor of socio-economic development of regions." Economy of agricultural and processing enterprises, no. 6 (2023): 26–31. http://dx.doi.org/10.31442/0235-2494-2023-0-6-26-31.
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The article is devoted to the issues of studying the system of socio-economic indicators that characterize the food security of the regions. The analysis and studies of indicators were carried out on the example of the regions of the Central federal district. The calculations are based on Rosstat data for the period from 2015 to 2020. The methods of mathematical statistics and correlation analysis were used as research methods. To perform calculations and visualize data, the RStudio interactive statistical analysis environment with the ggcorrplot graphics package was used. The paper explores approaches to assessing food security and defines a system of indicators used in most of the considered methods. For the study, the food self-sufficiency indicator, the actual consumption indicator, the poverty indicator, the real consumption indicator, and the Gini indicator were selected. The analysis of the dynamics of the level of actual consumption for the period under review did not reveal significant changes. At the same time, a comparative analysis of this indicator for 2020 by individual regions indicates an uneven distribution across all main types of food. For the seventeen regions considered in the work, calculations, and analysis of the self-sufficiency of the regions for the five most important food products were performed. In accordance with the data obtained, three groups of regions with high, sufficient, and low self-sufficiency in food products were identified. To eliminate the redundancy of a set of indicators for a general assessment of food security, a correlation analysis of the interdependence of indicators was performed in the work, which made it possible to limit the number of indicators under consideration without losing the information content of the model. An important value in assessing the availability of food is played by the indicator of monetary income of the population. Calculations showed a high degree of correlation of this indicator with the indicator of actual consumption. The results obtained in the study reflect the importance of food self-sufficiency in the regions, and the system of indicators considered allows us to provide objective information about the situation in this area.
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Preethi Latha, T., K. Naga Sundari, S. Cherukuri, and M. V. V. S. V. Prasad. "REMOTE SENSING UAV/DRONE TECHNOLOGY AS A TOOL FOR URBAN DEVELOPMENT MEASURES IN APCRDA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 525–29. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-525-2019.
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<p><strong>Abstract.</strong> Now-a-days, collecting accurate and meaningful information about the urban localities/environment with the maximum efficiency in terms of cost and time has become more relevant for urban, rural and city level development planning and administration. This work presents a technical procedure for automatic extraction of building information and characterization of different urban building types within the Andhra Pradesh Capital Region Development Authority (APCRDA) jurisdiction areas using UAVs. The methodology consists of a number of sequential processes of acquisition and generation of high resolution Orthomosaic images, creation of 3D point cloud data, and image classification algorithm for feature extraction using exclusively the geometric coordinates. The main parameters of the urban structures/buildings assessed in this work are site area of the building, built-up area, and building dimensions, building setbacks and building height. Different geometric and appropriate metrics were automatically extracted for each of the elements, defining the urban typology. In this study, residential and commercial buildings were considered for the analysis and the measurements from Drone were validated with respective approved plans and manual inspections and showed positive results with threshold parameters like setbacks and height as per building bye-laws of Andhra Pradesh Government Order (G.O) 119. Based on the results, measurements from Drone are used for the buildings occupancy permissions following the State government building rules. This automated system would replace physical inspections and manual reports and significantly reduce costs and improve efficiency. As an important component in this pilot study, visualisation of the building information were represented / displayed on a web application in an interactive mode. This added value of UAV technology with an automated system in comparison with traditional ways provides geospatial information and can also be considered as an essential Earth Observation indicator which has the potential to lead to next generation Urban Information Services and in the Smart cities development. The considerable potential use of these indicators in urban planning and development offers an opportunity in appropriate decision making in day to day urban planning measures.</p>
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Sorokina, N. Yu. "Ranking as Method of Evaluating Old-Industrial Regions in Russia." Vestnik of the Plekhanov Russian University of Economics, no. 6 (November 25, 2024): 56–67. http://dx.doi.org/10.21686/2413-2829-2024-6-56-67.
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Ranking is an acute method used in comparative estimation of regions in the system of state governance. The goal of ranking is to build typology and to carry out comparative analysis of old-industrial regions in order to assess the potential of their transformation into centers of economic growth in the Russian Federation. The article provides the review of authoritative Russian rankings of such regions that demonstrate topicality of using integral figures in the process of estimation. The author put forward methodology of old-industrial region ranking by dynamics of integral indicator in development and characterized its key stages and their content. The system of indicators was advanced to assess the potential of old-industrial region transformation into centers of national economy growth in Russia. This ranking methodology used regularly in the form of monitoring can give an opportunity to form the database concerning old-industrial regions and in proper time identify challenges and problems acute for a concrete region. On the basis of results of old-industrial region ranking we can draw a conclusion that regions of the first three groups of the ranking can be considered as potential centers of national economy growth as they possess the necessary potential of self-development, possibilities to participate in processes of regional interaction and stable institutions of development.
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Larionov, A. V., and G. L. Podvoysky. "Methodological Approach to Developing Labour Volatility Indicator." Vestnik of the Plekhanov Russian University of Economics, no. 6 (November 25, 2023): 86–94. http://dx.doi.org/10.21686/2413-2829-2023-6-86-94.
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The COVID-19 pandemic has had a negative impact on the socio-economic development of countries, in particular on the labor market. To counteract large-scale challenges, it is necessary to create a labor market monitoring system that allows identifying the occurrence of potential negative events at an early stage. The article suggests the author's approach to calculating the indicator of labor volatility. To calculate the labor volatility indicator, correlation analysis is used, as well as normalization of the selected indicators. By calculating the geometric mean and the subsequent inverse indicator, the achieved value of the labor volatility indicator is estimated. The approbation of the developed methodological approach was carried out for the period from 2019 to 2021. The regions of Russia were divided into two groups from the position of assessing the growth of volatility of the interaction of economic entities in the labor market. The positive dynamics in terms of reducing the level of volatility of labor relations, for example, was demonstrated by the Ivanovo region. Negative dynamics in terms of the growth of the volatility of labor relations was observed in the Astrakhan region. The developed indicator of labor volatility makes it possible to determine the emergence of non-standard practices of interaction between economic entities, to identify areas in which a crisis could potentially occur. The values of the labor volatility indicator can be used to assess the effectiveness of the instruments of state influence. If a decision is made on the practical use of the proposed methodological approach, it is necessary to increase the frequency of evaluation of the indicator of labor volatility. To do this, it is advisable to use operational data, in particular information about cash flows in the labor market.
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Kuzavko, A. S. "Economic growth and sectoral shifts in Dnepro-Dvinsky region." Regional nye issledovaniya, no. 4 (2020): 46–57. http://dx.doi.org/10.5922/1994-5280-2020-4-4.
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The article analyzes some indicators of the development of the Smolensk, Vitebsk and Mogilev regions as a single cross-border region (Dnieper-Dvinsky region). The Dnieper-Dvinsky region is characterized by the features of economic development, characteristic of all territories included in it. The region is connected by a network of communications, which in the past (rivers) and in the present (railways and highways) has a significant impact on the directions of economic interaction and social ties. This study aims to identify regional features of economic growth and structural sectoral shifts in the Dnieper- Dvinsky region, occurring as a result of the interstate integration of Russia and Belarus, in comparison with regional development trends in the Central Federal District of the Russian Federation and regions of the Republic of Belarus. The main indicator is the growth rate of the gross regional product (GRP) in comparable prices. The factors that influenced the development of the economy of the Dnieper- Dvinsky region in the past and present are highlighted. The lag of the growth rates of the real GRP of the Dnieper-Dvinsky region from the national growth rates was proved due to the increased competition in the border area following the results of Russian-Belarusian integration. The factor of budget revenues lagging due to the intercapital situation of the region is shown and substantiated. It was revealed that there was a structural shift in the economy of the Smolensk region, while in the Mogilev and Vitebsk regions the changes are insignificant.
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Merluzzi, P., A. A. Shaker, and G. Longo. "FIR Infrared Emission as Indicator of Interaction in Hickson Compact Groups." International Astronomical Union Colloquium 174 (2000): 205–8. http://dx.doi.org/10.1017/s0252921100055019.
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Due to their very high spatial density and relatively low velocity dispersion, Hickson’s compact groups of galaxies (hereafter HCGs, Hickson et al. 1989a, H89a) are ideal test grounds where to study the physics of galaxy interaction.Tidal shocks induced by galaxy interaction are expected to trigger rapid bursts of star formation in the circumnuclear region of galaxies. The increases in density and temperature caused locally by such shocks produce an enhancement in both the total FIR luminosity and in the ratio between the FIR fluxes at 60 and 100 μm. These enhancements have been actually observed in the circumnuclear regions of both interacting and ”putative” merging galaxies and should therefore be found also in all galactic environments where the frequency of interaction is higher than in the field. However, while interactions are more frequent among HCGs members than in the field (e.g. Hickson 1994, Shaker et al. 1999), there are conflicting arguments on whether HCGs present or do not present a FIR excess. As stressed by many authors, the critical point is the IRAS data resolution which prevents to map the spatial distribution of the FIR emission. We investigate the FIR properties of a selected sample of HCGs by sing the new high spatial resolution data from Allam et al. 1996 (A96). In particular, we address the problem whether or not there is any FIR enhancement in the compact groups and the reasons of that. This is a short presentation of the analysis performed and of the results obtained (Merluzzi et al. 1999).
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Serkov, L. A., M. B. Petrov, and K. B. Kozhov. "Modeling the Interaction of the Regions of Russia and the Republic of Belarus in the Sphere of the Processing Industry." Journal of Applied Economic Research 20, no. 2 (2021): 217–40. http://dx.doi.org/10.15826/vestnik.2021.20.2.010.
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In connection with the processes of the formation of the Union State of Russia and Belarus, the relevance of conducting a study of economic, infrastructural and institutional factors affecting the change in the level of economic interaction between the regions of the Russian Federation and the Republic of Belarus is increasing. The aim of the work is to carry out spatial modeling of the possible interaction of the regions of the Russian Federation and the Republic of Belarus in the manufacturing industry and to assess the factors affecting this interaction. The main hypothesis of the study is the assumption that the elements of the matrix of interregional interactions are proxy variables that characterize the degree of this interaction. At the first stage, the spatial distribution of the volume of output in the manufacturing sector of the regions of the two countries is investigated in order to assess possibilities of interaction between the regions in this sector. In modeling, the Republic of Belarus is considered as a separate region within the Union State. Calculations of the global and local Moran's indices have been carried out and possible spatial autocorrelations have been determined, both between the regions of the Russian Federation and between the regions of these two countries. In this study, economic indicators calculated on the basis of inverse values of the difference in interregional gross regional products were selected as elements of the weight matrix. At the second stage, the influence of economic, infrastructural and institutional factors on the indicator characterizing the degree of possible interaction of the regions of the two countries in the manufacturing industry was studied. Using quantile regression, the influence of economic, infrastructural and institutional factors on this investigated indicator was studied. The use of this approach makes it possible to substantiate the priority directions of economic development of the territories within the framework of the Union State and, in particular, to search for centers of attraction of resources and spheres of their influence on the territory. The results of the work can be used in preparation of strategies, programs and schemes for the placement and development of industries, taking into account the potential of a new level of integration of the economies of Russia and Belarus.
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Sorokina, Yuliya. "Humanity and flow in Central-Asian digital art-history: the Astral Nomads model." Central Asian Journal of Art Studies 6, no. 2 (June 29, 2021): 65–76. http://dx.doi.org/10.47940/cajas.v6i2.412.
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Currently, during the COVID-19 pandemic, cultural actors are faced with the urgent problem of preserving humanitarian values using digital tools. The countries of Central Asia are laggingbehind the global process, which has introduced an imbalance in the digital presentation of world artistic heritage. The aim of this study and project is to organize an online art history of post-Soviet Asia in the complex context of human destinies, stories and facts, through the creation of an interactive book and website. During the research process, the author followed the cross-methodologies of critical analysis and digital archiving. That is, analytical constructs were founded and documented by archival materials and scientific sources through a hypertext system. In turn, the hypertext system has something in common with the philosophical concept of the "rhizome" – one of the key concepts of the philosophy of post-structuralism and post-modernism, introduced by J. Deleuze and F. Guattari. In the course of this research, materials of contemporary art from Central Asia were collected from the studios of artists, and an archiving system was developed in accordance with international standards. In 2013, the online resource astralnomads.net was developed and launched, which took its name from the unfinished novel by the artist Sergei Maslov Astral Nomads. The novel described the adventures of Kazakhstani artists on a spaceship in the future. The study asks questions about the timeliness and necessity of digital archiving of art collections. These processes are not just technical innovations here, but an indicator of the compliance of the country's cultural policy with the new humanitarian challenges of the era. Based on the results of the study, it can be concluded that, despite lagging behind global trends in archiving, the processes of digitalization of archives and art collections are gradually building up in the region. The study proposes a model of the Astral Nomads resource as a pilot project for the preservation of the heritage of art of the 20th-21st centuries.
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MAZUR, Anastasiia. "Regional startup ecosystems of Ukraine." SCIENTIA FRUCTUOSA 151, no. 5 (October 13, 2023): 139–56. http://dx.doi.org/10.31617/1.2023(151)09.
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The startup ecosystem of each country contains separate elements and reflects the effectiveness of their interaction, which is also reflected in regional ecosystems. The aim of the research is to identify and rank the start-up ecosystems of the regions of Ukraine according to various indicators, distinguish the differences between the ecosystems and determine the main directions of their development, expansion within a separate region. In the research multifactorial comparative analysis in four stages has been used, such as: justification of the indicator system, normalization of the matrix of standardized coefficients, squaring of all elements of the matrix of standardized coefficients and placement of the obtained rating values by rank. The highest level is characterized by a sufficient number of supporting elements that help startups find financing options and accelerate market entry processes; the high level has a dynamic ecosystem that helps early-stage startups find support and funding programs; the medium level has a developing ecosystem, and the existing business structure contributes to the development of the startup movement in the region; the low level has the potential for further development and additional initiatives by local authorities and business structures. According to the rating, the highest level was determined in Kyiv region, the high level is found in Dnipropetrovsk, Lviv, Odesa and Kharkiv regions, the average level is found in Donetsk and Zaporizhia regions. Other regions belong to the lower and the lowest levels, which emphasize the promising development of startup ecosystems in the regions. Regions with the highest level can focus on maintaining and expanding their existing ecosystem by providing additional support and funding for startups; with high indicators they can focus on the further development of its dynamic ecosystem, creating more clusters and events to attract startups and investors; medium level regions can consentrate on increasing the number of supporting elements to make it easier for startups to find funding and scale; with a low level regions can focus on conducting competitions, hackathons, involving the IT community for the development of the startup community.
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Filippova, Viktoriya, Liliya Vinokurova, Yana Sannikova, Natalya Zakharova, and Akulina Mestnikova. "Ethnocultutal identity of the indigenous people of the Arctic (a case study of Anabar district in Yakutia)." SHS Web of Conferences 112 (2021): 00014. http://dx.doi.org/10.1051/shsconf/202111200014.
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The article presents the preliminary results of a comprehensive study on the social anthropology of the cultural landscape of the Khatango-Anabar region as an integral historical and cultural space, formed as a result of the interaction of man and nature, local ethnic communities and social institutions. The purpose of the article is to study the regional ethno-cultural identification of the population living in one of the Arctic regions of Yakutia - Anabar. The field research, including interviews, a sociological survey, and a psycholinguistic experiment revealed indicators for determining the ethnocultural identity. Three main criteria of ethnocultural identity of residents of Anabar district were identified. These are territorial, cultural and linguistic ones. It was found that the unifying indicator of the population living in this area is regional identity as Anabarians.
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Stepus, Irina S., Aleksandr O. Averyanov, and Valery A. Gurtov. "Indicators of the Interrelation between the Education System and the Labor Market: Development and Testing." Integration of Education 26, no. 4 (December 30, 2022): 594–612. http://dx.doi.org/10.15507/1991-9468.109.026.202204.594-612.
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Introduction. Ensuring the consistency of regional vocational education systems with the labor markets demands is a nationwide task of strategic importance. It causes the development of methodological tools instrumental in a quick and objective assessment of the current state of regional educational systems in the context of their interaction with the region’s labor markets. The aim of the article is to develop indicators of the relationship between the system of vocational education and the labor market and to test the calculation of these indicators in the Russian regions. Materials and Methods. The research methodology includes substantiation, development and formalization of indicators of the interrelation between the education system and the labor market. The first indicator characterizes the potential of the regional vocational education system to provide places for the admission of its own graduates of the 9th and 11th grades of schools. The second indicator assesses the supply of the regional labor market with graduates of the regional system of vocational education. To calculate the proposed indicators, official statistical reporting data are used. Results. In the course of research, using statistical data for 2018–2020, the proposed indicators were calculated for all Russian regions. Based on the cluster analysis of the indicators calculated values, a typology of Russian regions was made, during which five types of stable regions associations with homogeneous characteristics were identified. The strengths and weaknesses of regional educational systems are identified, including in the context of their interaction with the region’s labor markets. Discussion and Сonclusion. The developed indicators allowed to quickly assess the potential of the regions, on the one hand, to provide school graduates with vocational education, and on the other hand, to meet the economy staffing needs by graduates of universities and vocational educational organizations. The results of the study are of undoubted practical significance and will be useful to executive authority in developing recommendations for bringing education systems in line with regional development priorities, strengthening and developing regional educational systems.
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Shvets N. "Implementation of the Integration Component of Regional Smart Specialisation Strategies: Scientific and Methodological Approach." Herald of the Economic Sciences of Ukraine, no. 2(41) (December 16, 2021): 62–70. http://dx.doi.org/10.37405/1729-7206.2021.2(41).62-70.
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The article discusses the formation issues of the integration component of regional strategies for smart specialisation, including the use of Interregional and cross-border cooperation in strategically important areas. The relevance and potential of activating European partnerships for Ukrainian regions within the framework of strategies for smart specialisation were emphasized. In order to adapt and develop the methodological support developed in the EU, a scientific and methodological approach to assessing potential partnerships in the formation of regional smart specialisation strategies has been justified. It is proposed to perform a set of diagnostic and communication procedures to identify and assess the prospects for interregional cooperation for each project initiative at the participatory stage of the entrepreneurial discovery process. Measures to identify potential partnerships include the following: justification of the feasibility of partnership and integration into existing cluster-network structures; identification of possible partners and study of their potential and interests; assessment of the readiness of regional stakeholders for partnership; formation of partnership proposals for a specific smart priority. This additional stage will allow to determine the possibilities of resource-competent strengthening of regional priorities of smart specialisation by combining knowledge and assets with innovatively active European regions. The proposed author’s scientific and methodological approach to assessing the potential of cluster-network partnership of Ukrainian regions and EU member states is based on the calculation of an integral indicator that takes into account the assessment of innovative cooperation of each region and its cluster-network activity in a specific thematic area of smart specialisation. The structure is shown and the content of calculation procedures for determining the integral indicator of the potential of cluster-network interaction of the region based on information and analytical data of European ratings and platforms is developed. The scientific and methodological approach has been tested on the example of Chemicals thematic partnership. The definition of groups of indicators for assessing innovative cooperation and cluster-network activity of 13 regions of the European Union, which are part of this partnership, has been consistently disclosed. A rating of chemical regions was formed to assess the potential of cluster-network interaction.
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Sukharev, Mikhail. "Correlation between the levels of digitalization and economic indicators in Russian regions." Теоретическая и прикладная экономика, no. 1 (January 2021): 1–12. http://dx.doi.org/10.25136/2409-8647.2021.1.34788.
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This article is dedicated to examination of the questions of interinfluence of digital and traditional economy in the regions of the Russian Federation. On the one hand, digital economy stimulates the development of traditional economy; while on the other hand, digitalization requires acquisition of equipment, digital communication services, software, and recruitment of qualified personnel. The interaction of digital and traditional economies differs in the regions with commodity sector, industrial regions, mixed economy regions, metropolitan areas, and territories with low population density. The growing importance of digital economy in the overall development of the regions and the country requires comprehensive examination of digitalization processes with regards to both, economy and society. The scientific novelty consists in the use of big data for tracing correlations between the available indicators of development of digital economy and various aspects of traditional economy established in the Russian region. Based on the database of the Unified Interdepartmental Information Statistical System, the author constructed scatter diagrams, calculated correlation coefficients and trend lines to determine the interdependence of these indicators. The article examined the link between the number of personal computers in the region, level of public access to the Internet, GRP, cost of labor, and users of satellite communication systems. The author determines the instances of positive and negative interinfluence, and discusses the probable causes their different vector.
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SABININA, Anna L., Nadezhda N. MAKAROVA, Mariya V. ZHUKOVA, and Zlata S. ZHURAVLEVA. "Developing the components of integrated model to assess the tourism potential of the region." Finance and Credit 30, no. 12 (December 26, 2024): 2799–813. https://doi.org/10.24891/fc.30.12.2799.
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Subject. The article considers components of integrated model for assessing the tourism potential of a region. Factors that can affect tourism development and, as a result, the regional economy, are presented as components of an integrated model, which, if necessary, can be analyzed separately. Objectives. The aim is to develop a model to assess the tourism potential of the region for making management decisions about investing in the region's economy. Methods. The study draws on analysis, modeling, survey methods, and the integral method. Results. We elaborated science-based recommendations on building and improving an approach to the use by regional authorities of institutional and budgetary instruments for territorial development regulation. Its salient features are the instruments’ performance evaluation in the short and long run. The suggested approach can be used by regional authorities when developing relevant regulatory documentation, and in the financial and institutional interaction between regional and local authorities. Conclusions. The model enables to understand strengths and weaknesses of the tourism industry in the region and further evaluate the results of investing in the region's economy. Moreover, conclusions can be made both based on a composite (integrated) indicator and on its components, which reflect the assessment results of the most important factors in the tourism industry development. Tracking the indicators over time will ensure objective monitoring of the situation in the industry, and create opportunities for comparing the indicators of the tourism sector development in different regions.
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С.Ш., Аслаева. "ОЦЕНКА ПОТЕНЦИАЛА МЕЖРЕГИОНАЛЬНОГО ВЗАИМОДЕЙСТВИЯ." Bulletin of Udmurt University. Series Economics and Law 34, no. 6 (November 28, 2024): 994–1000. http://dx.doi.org/10.35634/2412-9593-2024-34-6-994-1000.
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В настоящее время особую важность приобретают вопросы межрегионального взаимодействия. Цель исследования заключается в оценке потенциала межрегионального взаимодействия. Объектом исследования являются Республика Башкортостан и регионы Приволжского федерального округа, а также их отношения с городами Москва и Санкт-Петербург, оказывающими значительное влияние на регионы. В работе применены методы линейной алгебры и экономико-математические модели. Матрица сил взаимодействия между регионами построена с применением гравитационной модели на основе интегральных показателей, выделенных в блоки: научного и образовательного потенциала, социального, экономического и финансового развития. Учитывались как статические, так и динамические показатели. Матрица сил взаимодействия показывает, какие регионы взаимодействуют между собой, а также интенсивность и влияние этого взаимодействия на различные аспекты регионального развития. Наивысший уровень взаимодействия наблюдается между городами Москва и Санкт-Петербург, Москвой и Нижегородской областью, республиками Татарстан и Марий Эл, Мордовией и Нижегородской областью, Мордовией и Пензенской областью, Мордовией и Ульяновской областью, Татарстаном и Чувашией, Татарстаном и Ульяновской областью, Самарской и Ульяновской областями, что указывает на существующий потенциал для дальнейшего сотрудничества между ними. Матрица сил взаимодействия может быть использована для прогнозирования дальнейшего развития сотрудничества между регионами. Currently, issues of interregional cooperation are important. The purpose of the study is to assess the potential for interregional cooperation. The object of the study is the Republic of Bashkortostan and the regions of the Volga Federal District, as well as their relations with the cities of Moscow and St. Petersburg, because they have a great influence on all regions. The work uses linear algebra and economic-mathematical methods. The matrix of interaction forces between regions is constructed using the gravity model based on integral indicators. Indicators are divided into blocks: scientific and educational potential, social, economic and financial development. The integral assessment takes into account static and dynamic indicators. The interaction force matrix of interregional relations shows which regions interact with each other, as well as the intensity and impact of this interaction on various aspects of regional development. The highest level of interaction is observed between the cities of Moscow and St. Petersburg, Moscow and the Nizhny Novgorod region, the republics of Tatarstan and Mari El, Mordovia and the Nizhny Novgorod region, Mordovia and the Penza region, Mordovia and the Ulyanovsk region, Tatarstan and Chuvashia, Tatarstan and the Ulyanovsk region, Samara and Ulyanovsk areas, indicating the existing potential for further cooperation between them. The matrix of interaction forces can be used to predict the further development of cooperation between regions.
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KRASNOSTANOVA, Nataliia E., Serhii I. MAIDANIUK, Nataliia V. PRYVALOVA, and Natalia V. AKYMENKO. "Methodological Basis of Assessment of Innovative Potential in the Regional Management System." Journal of Advanced Research in Law and Economics 9, no. 4 (March 16, 2019): 1317. http://dx.doi.org/10.14505//jarle.v9.4(34).18.
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The article presents the features of administrative means of regulating the economy. Consider the main tasks of integration of the regional innovation space, the role of an organizational model for the formation of the interaction of regional subjects of innovation in the context of the formation of the innovation core of modernization processes. Also, the innovative potential of the Odessa region in terms of the integral indicator of innovation potential, weighting factors of the components of the integral indicator of the level of innovation potential, generalized indicators of the scientific potential, the level of potential of innovative developments and the susceptibility (susceptibility) of innovations are evaluated and analyzed.
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Andrusyak, Nataliia. "Mechanisms of elements interaction in the system of ecological and economic regional competitive advantages." Economies' Horizons, no. 2(9) (June 1, 2019): 16–27. http://dx.doi.org/10.31499/2616-5236.2(9).2019.195656.
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The purpose of the research. The purpose of the article is to build a conceptual scheme of the interaction of structural elements in the system of ecological and economic competitive potential of the region to improve the mechanisms of interaction of elements in the system of ecological and economic competitive advantages of the regions. Methodology. The general scientific methods, including generalization, aggregation, comparison, are used in the research - to analyze the views of scientists on the subject of study of ecological and economic competitive advantages of regions; and special methods, such as analysis and synthesis - to formulate basic categories of research, expert evaluation - to build a system of factors of environmental and economic competitiveness of the regions of Ukraine, graphic representation - to visualize the results of the research. Results. The approaches to determining the competitive advantages of the regions existing in the scientific literature are analyzed, and it is estimated that the absolute majority of authors in their research consider the view of the competitiveness of the regions by the system. The system is proposed to consider the competitive potential of the region, and the competitiveness of the regions as a system characteristic. From this position, the main elements of ecological and economic competitive potential are identified, in particular: the actual competitive potential of the region, sources and factors of regional competitiveness, ecological and economic competitive advantages, competitive positions and competitive status of the region. The characteristics of the components of the ecological and economic competitive potential of the regions, allocated in accordance with the logic, are presented, as well as the substantiated indicators that are proposed to be used for the evaluation of the economic and environmental components of the potential. The proposed classification of factors of ecological and economic competitiveness of Ukrainian regions, which distinguishes them from the existing ones, is a comprehensive reflection of all groups of factors that determine the ecological and economic competitive potential of regions, as well as the possibility of ranking the factors of competitiveness by the degree of economic and environmental impact. In order to assess the degree of influence of the selected factors on the ecological and economic competitiveness of the regions, an expert evaluation was conducted organized in a selective manner. Leading specialists (civil service experience of at least 5 years) of the regional authorities, namely the Regional State Administrations of the regions of Ukraine, were selected as experts, who were invited to fill in the developed questionnaire form. The above classification has revealed that environmental and economic competitiveness factors can influence at the regional level the living conditions of citizens, the activities of organizations and ensure effective public administration, while the influence on some factors is limited by established state and regional powers. The stages of transformation of sources of competitive advantage into positive dynamics of indicators of competitiveness of the region are highlighted, appropriate procedures and tools for their implementation are developed. The conceptual scheme of interaction of elements in the system of ecological and economic competitive potential of the region is developed. Practical meaning. Building a conceptual scheme of interaction of structural elements in the system of ecological and economic competitive potential of the region allows to trace how the ecological and economic competitive potential of the region is transformed into sources of ecological and economic competitive advantages by means of economic and ecological factors of regional competitiveness, - economic competitive advantages on which the competitive position of the region is based. Prospects for further research have established the rationale for strategic and tactical tools for managing the region's ecological and economic competitiveness.
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Бушуева, Ирина, and Irina Bushueva. "Service management at the regional level: the cluster approach." Services in Russia and abroad 8, no. 8 (December 15, 2014): 141–51. http://dx.doi.org/10.12737/8256.
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The article discusses the possibility and expediency of development management services in the region, based on the cluster approach. For this purpose, the author describes theoretical approaches to the determination of the service cluster as an economic category, as well as to the classification of service clusters. A distinction between the term "regional service cluster" and "sphere of service in the region" is explained on the basis of comparison of the following characteristics: territorial boundaries, forms of interaction between participants, the economic interests of participants, innovative development opportunities for the participants and the region, information flows, corporate culture, the terms of cooperation. The article also identifies three components of the scope of the service industry, capable of developing in the cluster form in the Russian Economy - tourism, educational services, scientific services. On the example of tourism clusters, as clusters of service, suggested a methodical approach to the calculation of aggregate investment attractiveness in the Russian regions. This methodology takes into consideration quantitative and qualitative indicators of the resource potential of the cluster core, infrastructure component, the predictive efficiency of the investment project implementation, and assessment of possible risks in three areas - sectoral, regional and general. For comparison of quantitative and qualitative indicators and using them in calculations the author proposes to use a scale where each indicator is assigned a weighting factor on the basis of priorities. This approach proposes to develop a standard methodology for assessing the investment attractiveness of the service cluster, that is to create a tool for management decisions on the application of the cluster approach to the development of servicemanagement in the region.
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Petrov, Mikhail, Leonid Serkov, and Konstantin Kozhov. "Econometric approach to modeling the global partnership between the Russian federation and the republic of Belarus in the manufacturing industry." E3S Web of Conferences 291 (2021): 08003. http://dx.doi.org/10.1051/e3sconf/202129108003.
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The working hypothesis of the study is the postulate that the implementation of the global partnership of the Russian Federation and the Republic of Belarus should take place at the level of interregional interactions. The paper proposes the methodological approach and tools for assessing possible interregional interactions between the constituent entities of the Russian Federation and the Republic of Belarus in the manufacturing industry, as well as investigates the factors influencing this interaction. Data from the official statistical websites of Russia and Belarus for 84 subjects of the Russian Federation and the Republic of Belarus were used to calculate the studied indicators. At the first stage, the spatial distribution of the volume of output in the manufacturing sector of the regions of the Russian Federation and the Republic of Belarus is analyzed in order to assess the possibilities of interaction between these regions in this sector of the economy. When modeling, the Republic of Belarus is considered as a separate region within the Union State. A positive autocorrelation was established between the subjects of the Russian Federation and the Republic of Belarus using Moran’s indices. At the second stage, the influence of economic, infrastructural and institutional factors on the indicator characterizing the degree of possible interaction of the regions of the Russian Federation with the Republic of Belarus in the manufacturing industry was studied. The influence of economic, infrastructural, and institutional factors on this indicator under study was studied using Beta regression. The use of this approach makes it possible to substantiate the priority areas of economic development of territories within the Union State, in particular, to search for centers of attraction of resources and spheres of their influence on the territory. The findings of this paper can be used in the preparation of strategies, programs, and schemes for the placement and development of industries taking into account the potential of a new level of integration of the economies of Russia and Belarus.
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Roy, Oleg M. "The Uneven Development of Siberian Regions: Impact on Migration Loss." Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika, no. 53 (2021): 100–110. http://dx.doi.org/10.17223/19988648/53/8.
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The article analyzes the impact of the uneven socioeconomic development of the regions of the Siberian Federal District on the migration loss. Using the GRP (gross domestic product) indicator, the author demonstrates significant differences in the level of the socioeconomic development of Siberian regions. The trend towards a decrease in natural increase in Siberia that has emerged in recent years is exacerbated by an increase in migration loss, which has covered a number of regions of the Siberian Federal District. The article contains an overview of modern trends in the field of migration movements, identifies the features of these movements in Siberian regions. On the example of Omsk Oblast, which has demonstrated the most profound migration loss in recent years, the leading factors of influence on migration processes are identified: the fiscal capacity of the region; low wages in the region, the share of the population whose cash income is below the minimum subsistence level; environmental woes; the opportunity of continuing education, obtaining future-oriented professions; conditions for the development of small and medium-sized businesses; the stability of the regional economy; and climatic conditions. Using the methods of quantitative and qualitative analysis, the author assesses the manifestation of each factor in the indicators of migration loss in Siberian regions. The study did not show a direct relationship between the fiscal capacity of the region, the level of wages, and the indicators of migration growth. At the same time, the connection between migration loss and the state support of regions in the educational sphere or the developing assistance to small and medium-sized businesses is more clearly visible. The special role of youth migration is emphasized. The analysis of the identified trends shows that the growing differences between regions will contribute to depopulation trends in some regions and to the loss of complexity in the reproduction of macroregional socioeconomic ties. The author emphasizes that the fiscal capacity of the region should remain the main criterion for federal support, and the state system of budgetary incentives should be implemented in accordance with the needs of the regions and the characteristics of the territorial labor market. In the final part, the measures to improve the spatial strategy of Russia at the present stage are proposed. The idea of macroregional development presented in the strategy should be supplemented by the prescribed mechanisms of interaction between business communities registered in different subjects of the federation, within the framework of promising cluster formations.
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Веремеенко, О. С. "Формирование системы показателей оценки эффективности услуг розничной торговли на рынке продовольственных товаров." Vestnik of Volga State University of Technology Economics and Management, no. 3-4(55) (February 15, 2023): 118–28. https://doi.org/10.25686/2306-2800.2022.3-4.118.
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В статье автор уточняет и конкретизирует понятия категорий «услуга розничной торговли», «услуга розничной торговли на рынке продовольственных товаров» и «эффективность услуг розничной торговли на рынке продовольственных товаров». На основе изучения и уточнения данных категорий разработана авторская методика оценки эффективности услуг розничной торговли с формированием системы показателей для проведения данной оценки на рынке продовольственных товаров. Introduction. Trade (commodity circulation) is one of the dynamically developing fields of economic activity, which contributes significantly to the country's economy. Aspects of improving the efficiency of this type of services are the subject of numerous studies carried out by foreign and domestic researchers. Most authors consider the efficiency of retail trade services using economic and social criteria, as well as their combination, thus determining the socio-economic efficiency of the services. However, a small number of researchers identify organizational aspects of this category, which are expressed in the service provision not only to individual consumers and households, but also to manufacturers and wholesale trade enterprises. The aim of the study is to develop a methodology for evaluating the efficiency of retail trade services (based on the interaction of market participants) and assessing the impact of external factors on the efficiency of these services (by the type of resource potential of the region). Methods. The evaluation is performed in two directions of the interaction with partners in the production and sales activities and consumers on the basis of the subjective approach. This interaction is sustained through the functioning of the enterprise internal environment, which is assessed from the process approach perspective. Results. To study these directions, the author formed a system of indicators revealing the most important aspects of activity. For the direction of interacting with partners in production and sales, the interaction with food producers and wholesale trade enterprises is evaluated on the basis of aggregate indicators. For the direction of interacting with consumers, the system of aggregate indicators is represented by an assessments of customer price level perception, an assessment of compliance of food product assortment with customer requirements, an assessment of the quality of customer service in retail trade enterprises, as well as by generalized indicators of interaction with consumers. To assess the efficiency of functioning of the internal environment of a retail trade enterprise, aggregate indicators are built for the key business processes of financial and economic, organizational and managerial, marketing, and trade and technological activities. The final indicator of the efficiency evaluation is the generalized efficiency coefficient of retail trade services, which is the sum of aggregate indicators with regard to their relevance. Conclusion. The proposed evaluation methodology and system of indicators were tested using empirical data, which demonstrated the possibility of putting them into practice.
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Elokhov, A. M., and T. V. Alexandrova. "Approaches to Assessing the Results of the Digital Transformation of the Russian Economy." Accounting. Analysis. Auditing 6, no. 5 (October 27, 2019): 24–35. http://dx.doi.org/10.26794/2408-9303-2019-6-5-24-35.
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The article focuses on the study of the interaction of digital processes in the “city-region-country” system when assessing the overall level of digital transformation of the Russian economy, since the works devoted to the consideration of the results of the introduction of digital technologies in the country do not analyze the features of territorial digital processes. The research aims at the necessity and possibility to show specific digitalization features of cities and regions in the existing evaluation methods of the Russian economy digital transformation index. The researchers used logical, systematic and comparative analysis methods to analyze the digitalization indicators of the largest Russian cities and regions. The authors analyze the digitalization indicators of the largest Russian cities and regions between 2014– 2018; they define indicators, reflecting regional disproportions of the national economy digitalization; and develop new methods to evaluate digital inequality in the system “city-region-country”. The use of the suggested indicators will improve the existing methods of evaluation of the largest Russian cities digitalization, increase the fairness of digital processes and technologies evaluation for making decisions in the system of state, regional and municipal government.
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Popov, E. V., V. L. Simonova, and I. P. Chelak. "Developing the Innovation Ecosystem of a Large Enterprise." Economics and Management 27, no. 5 (July 13, 2021): 324–35. http://dx.doi.org/10.35854/1998-1627-2021-5-324-335.
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Aim. The presented study aims to verify the author’s analytical model for assessing the development of the innovation ecosystem of a large enterprise.Tasks. The author describes the problems of assessing the level of development of innovative ecosystems; considers the relationship between the indicators of ecosystem dynamics (characterizing the stakeholders of the ecosystem) and the growth rate of production of innovative goods; reveals the specific features of ecosystem management, particularly with regard to interaction with ecosystem stakeholders as a factor in the ecosystem’s development.Methods. The theoretical and methodological basis of this study includes scientific publications on ecosystem genesis and assessment of the development of socio-economic ecosystems. Regression analysis is used to calculate the degree of connectivity between the previously selected indicators affecting the dynamics of production of innovative goods. The informational basis of the study consists of indicators of financial and economic activity of a large industrial enterprise in the Sverdlovsk region as well as indicators characterizing interaction with its stakeholders.Results. Development indicators of the innovation ecosystem of a large enterprise are calculated for 2013-2019 based on its stakeholder decomposition. Factors that are closely linked to the potential aggregate indicator of innovation ecosystem development are identified, and ways to make their analysis less complicated are outlined.Conclusions. Testing of the analytical model for assessing the development of the innovation ecosystem of a high-tech enterprise has revealed the irreducibility of the integral indicator of innovation ecosystem development to the production of new goods. The importance of developing an ecosystem management technology is substantiated.
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Kozhemyakin, Leonid, Leonid Yasnitsky, and Sergei Rusakov. "Identification of the potential of cluster-network interaction of organizations based on establishing a link between GRP and market concentration indicators." Applied Mathematics and Control Sciences, no. 4 (January 26, 2022): 119–35. http://dx.doi.org/10.15593/2499-9873/2021.4.07.
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This paper examines the main generally accepted market concentration indices adapted to the sub-industry structure. These indicators can be metrics for determining the dominant sub-sectors, which can be used to analyze cluster interactions. In fact, indicators can serve as an indicator of the potential for the development of cluster interaction. The current study hypothesizes that if there is one dominant sub-sector in the region, then enterprises that are "representatives" of such a sub-sector, having the most significant weight in the formation of this sub-sector and the industry as a whole, will influence the change in the GRP of the region much more than other enterprises not from the dominant industry. Thus, the paper exploresthe relationship between these metrics and the rate of gross regional product per capita, as one of the key indicators of regional development. At the first stage, a neural network is built and trained to identify a pattern between one of the metrics and the rate of gross regional product. Further, approximating by n-th order polynomials, various specifications of regression equations are considered, between all metrics and the change in the rate of gross regional product. The assumption is made that only the diversification of production does not lead to the socio-economic development of the region, but the creation and development of cluster interaction allows to increase the rate of gross regional product.