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1

Huang, Weixuan, and Shijia Shao. "Research on Sustainable Economic Development Model Based on Clean Energy." Journal of Environmental & Earth Sciences 7, no. 4 (2025): 246–65. https://doi.org/10.30564/jees.v7i4.8395.

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Based on panel data from 31 Chinese provinces during 2010–2022, this study constructs a systematic theoretical framework incorporating clean energy investment, technological innovation, industrial structure optimization, and environmental governance, employing spatial econometric and threshold effect models to examine the impact mechanisms of clean energy development on sustainable economic growth. The findings reveal that clean energy development has a significant promoting effect on sustainable economic growth (impact coefficient 0.437) and generates notable spatial spillover effects (coeffi
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2

Lin, MeiTing, and Chun Xu. "Research on the Influence of Digital Economy on the Upgrading of Industrial Structure." Advances in Economics and Management Research 3, no. 1 (2022): 82. http://dx.doi.org/10.56028/aemr.3.1.82.

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Based on the provincial panel data of China from 2013 to 2019, this paper calculates the comprehensive index of digital economy development, constructs a variety of econometric models, and discusses the effect and influence mechanism of digital economy on industrial structure upgrading. It is found that the digital economy has a significant positive effect on the upgrading of industrial structure; Digital economy promotes the upgrading of industrial structure by promoting technological innovation; According to the regional inspection, the effect of digital economy on industrial structure upgra
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Ploegmakers, Huub, and Friso de Vor. "Determinants of industrial land prices in The Netherlands: a behavioural approach." Journal of European Real Estate Research 8, no. 3 (2015): 305–26. http://dx.doi.org/10.1108/jerer-04-2015-0016.

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Purpose – The purpose of this paper is to demonstrate how the specification of hedonic pricing models can be improved by using insights generated from qualitative research. In doing so, it seeks to address one of the main problems in the specification of hedonic models, namely that theory yields little guidance in the selection of the characteristics that should be included on the right-hand side. Design/methodology/approach – Building on the behavioural tradition in real estate research, this paper introduces a research approach that integrates insights from qualitative analysis in an econome
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4

Ismagilova, Larisa, and Elvira Arylbaeva. "Labor productivity management: cognitive models of contradictions." Vestnik BIST (Bashkir Institute of Social Technologies), no. 2(55) (June 30, 2022): 154–61. http://dx.doi.org/10.47598/2078-9025-2022-2-55-154-161.

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The analysis of the research, demonstrating the interrelation between the efficiency of human resources management and economic results of the enterprise has been conducted. Causal relationship between human resource management and productivity is shown. Contradictions in the formation of human and labor resources are revealed. The defining role of human capital in the structure of intangible resources. The procedure of substantiation of the choice of HR-practices that involves the construction of a generalized cognitive model of the impact of intangible resources on productivity was formed. T
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5

Golubkin, A. V., and O. M. Malyutina. "Industrial production as a factor in the dynamics of trade in mechanical engineering products between Russia and the countries of Central and Eastern Europe in 2022–2024." Economics and Management 31, no. 6 (2025): 700–708. https://doi.org/10.35854/1998-1627-2025-6-700-708.

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Aim. The work aimed to assess the impact of industrial production in the countries of Central and Eastern Europe (CEE) on the dynamics of trade in mechanical engineering products between these countries and the Russian Federation (RF) in the context of the latest geopolitical conditions.Objectives. The work seeks to analyze statistical data on the dynamics of trade relations between Russia and the countries of Central and Eastern Europe in the field of mechanical engineering at the current stage; to construct econometric models for regression analysis of the impact of industrial production on
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6

Abdullayev, Ilyоs, Timur Tadjiev, and Mohira Saparova. "Evaluation Factors of Industrial Production in the Region." E3S Web of Conferences 449 (2023): 01002. http://dx.doi.org/10.1051/e3sconf/202344901002.

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This article evaluates the processes of development of industrial production in the region and determines the factors affecting them, reveals the priority factors and sources of competitiveness of industrial enterprises, evaluates the regional characteristics of industrial development, and analyzes all influencing factors in the development of industry. This allows us to evaluate industrial production and development in the region, identify the factors that affect it. In the evaluation, process grouped the most important factors influencing the development of industrial production in determini
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Kudryavtseva, T. Yu, and A. E. Skhvediani. "An econometric analysis of the regional industrial specialization: The Russian manufacturing industry case study." Economic Analysis: Theory and Practice 19, no. 9 (2020): 1765–90. http://dx.doi.org/10.24891/ea.19.9.1765.

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Subject. The article reviews the manufacturing industry in Russian regions, calculates the indicators of regional industrial specialization needed for development of econometric models of spatial panel data. Objectives. The purpose is to create a methodology for analyzing the regional industrial specialization based on econometric tools; to test it, using the case of the manufacturing industry, for determining the type of externalities in the Russian Federation. Methods. To build econometric models, we use methods of least squares and maximum likelihood. We apply localization ratios to assess
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8

Xu, Shuang. "Application and Analysis of Spatial Spillover Effects of an Improved Panel Data Econometric Model in Universities, Population, and Industrial Parks in Guiyang." Mobile Information Systems 2022 (August 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/9654342.

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In the field of econometrics, panel data are an extremely important type of data. In macroeconomic research, panel data models are widely used in exchange rate determination theory, testing of cross-border economic growth and convergence theory, analysis of industrial structure, research on technological innovation, etc. The agglomeration and population distribution of colleges and universities, and the economic support of industrial parks play an important role in economic and social development as a source of research and development and a source of talents. The panel data model usually assu
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9

Turlakova, Svitlana. "Research of mathematical methods and models of long-term industrial development." Economy of Industry 4, no. 100 (2022): 53–77. http://dx.doi.org/10.15407/econindustry2022.04.053.

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The importance of the study of relevant mathematical methods and models of long-term development of the national industry is substantiated. It has been proven that causal econometric models of production are relatively simple and convenient to use in practice, as well as the most common tools for researching the long-term economic future. It was defined that the production functions, adapted to individual circumstances, proved their ability to solve the assigned tasks. However, the problem of more accurate adjustment to the features of the simulated object of research is particularly relevant
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10

Zrailo, Ivan, and Svitlana Hynkevych. "Modern Trends in the Functioning of Grain-Product Subcomplex of the Agricultural Sector of Ukraine in the Context of Implementing Its External Economic Potential." Economic and Regional Studies / Studia Ekonomiczne i Regionalne 13, no. 3 (2020): 328–41. http://dx.doi.org/10.2478/ers-2020-0024.

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SummarySubject and purpose of work: The main purpose of the article is to research the state of grain-product subcomplex of the agro-industrial complex and identify the main trends in its functioning as a prerequisite for the implementation of the external economic potential of Ukraine.Materials and methods: The research used methodical tools for analysis, construction of econometric models, as well as open information sources of the State Statistics Service of Ukraine.Results: A set of factors (independent variables) were determined and the existence of theoretically their relationship with t
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Akbulaev, Nurkhodzha, Basti Aliyeva, and Shehla Rzayeva. "Analysis of the Influence of the Price of Raw Oil and Natural Gas on the Prices of Indices and Shares of the Turkish Stock Exchange." Pénzügyi Szemle = Public Finance Quarterly 66, no. 1 (2021): 151–66. http://dx.doi.org/10.35551/pfq_2021_1_8.

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This article is a review on the impact of prices and their dependence on the cost of oil and natural gas on the world stock markets. The main studies and results achieved in the field of the impact of prices on both the stock index and industrial stocks and the dependence on the level of oil prices are presented. The paper presents an econometric study on the choice of offers on the securities market that allows us to identify the main specifics of changes in prices for the stock index and industrial shares in the daily period from 13. 05. 2012 to 01. 12. 2019. The article uses methods for est
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12

Ajayi, Ajibola Joshua, Experience Efeosa Akhigbe, Nnaemeka Stanley Egbuhuzor, and Oluwole Oluwadamilola Agbede. "Economic Analysis of Transitioning from Fossil Fuels to Renewable Energy Using Econometrics." International Journal of Social Science Exceptional Research 1, no. 1 (2022): 96–110. https://doi.org/10.54660/ijsser.2022.1.1.96-110.

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The global transition from fossil fuels to renewable energy is essential to mitigate climate change, reduce environmental degradation, and achieve sustainable development goals. However, this transition entails significant economic implications for energy markets, industries, and consumers. This study conducts an economic analysis of transitioning from fossil fuels to renewable energy, utilizing econometric models to quantify the costs, benefits, and broader market impacts of renewable energy adoption. By integrating empirical data with advanced statistical techniques, the research provides a
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13

Zhou, Zejiong, and Xiaoyu Weng. "Research on the Impact of Fiscal Expenditure and Technological Innovation on High Quality Economic Development." Frontiers in Business, Economics and Management 18, no. 3 (2025): 86–92. https://doi.org/10.54097/7w350055.

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This paper studies the impact of fiscal expenditure and technological innovation on high-quality economic development. Firstly, propose research questions, sort out relevant theories, and put forward research hypotheses; Secondly, establish an indicator system for the level of technological innovation and high-quality economic development, and use entropy method and principal component analysis to measure the relevant level of Anhui Province; Thirdly, measure and analyze the fiscal expenditure, technological innovation, and high-quality economic development level of Anhui Province; Then use sp
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14

Gajdzik, Bożena, Radosław Wolniak, Anna Sączewska-Piotrowska, and Wiesław Wes Grebski. "Polish Steel Production Under Conditions of Decarbonization—Steel Volume Forecasts Using Time Series and Multiple Linear Regression." Energies 18, no. 7 (2025): 1627. https://doi.org/10.3390/en18071627.

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This paper will discuss the dynamics of steel production in Poland in light of the forecasts of tendencies under conditions of decarbonization. The research presented will be an attempt, using data from 2006 to 2023, to create econometric models and forecast production volumes until 2028, along with influencing factors. The obtained models were compared by calculating their error metrics. Based on the conducted econometric models, the critical determinants of the decarbonization of the industry have been established. Forecasts of the volume of steel production in Poland are downward in the fac
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15

Melnikova, T. B. "Knowledge and space in models of regional development." Vestnik of the Plekhanov Russian University of Economics, no. 3 (June 21, 2023): 29–39. http://dx.doi.org/10.21686/2413-2829-2023-3-29-39.

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New knowledge is recognized as an important resource of positive dynamics of the territory development. As a result knowledge becomes an element of economic models that try to summarize regularities of economic growth and development of regions, cities and countries. The article provides structured analysis of the well known models to research regional development, which combines factors of knowledge and space. It studies ways of including knowledge and space in models, where the object of observation is territorial social and economic system, enterprise or agent possessing knowledge. Models o
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16

Yuan, Wenhua, and Weixiao Lu. "Research on the impact of industrial robot application on the status of countries in manufacturing global value chains." PLOS ONE 18, no. 6 (2023): e0286842. http://dx.doi.org/10.1371/journal.pone.0286842.

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The fast growth in the installation of industrial robots has had a major impact on the comparative advantage of nations and the division of labor in global value chains in the era of smart manufacturing. Using various econometric models and panel data from 18 industries in 38 countries from 2000 to 2014, this paper empirically examines the impact of industrial robot applications on the status of countries in manufacturing global value chains and its mechanisms. The study demonstrates that industrial robot application can effectively improve the status of countries in manufacturing global value
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17

Feshchur, R. V., N. O. Kolinko, S. V. Shyshkovskyi, and D. I. Skvortsov. "Applied Aspects of Industrial Production Research in Ukraine." Business Inform 4, no. 519 (2021): 73–81. http://dx.doi.org/10.32983/2222-4459-2021-4-73-81.

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Industry is one of the important sectors of the economy of any country in the world. At the same time, statistics show that the industrial complexes of many countries are developing unevenly, with periodic changes in the structure and volume of production under the influence of many internal and external factors. Ukraine's industrial complex is also undergoing spatial and structural distortions, but these trends do not always correspond to those formed in the world's leading countries in the direction and pace of change, although today the industrial complex of Ukraine is the most important st
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18

Zheng, Yuande. "Research on the Impact Mechanism of Digital Inclusive Finance on Promoting Agricultural Industrial Structural Upgrading." Frontiers in Business, Economics and Management 18, no. 3 (2025): 178–86. https://doi.org/10.54097/htt0z488.

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Against the background of the deep integration of digital economy and rural revitalization strategy, this study builds a three-dimensional analysis framework of "technology-capital-system" and uses mixed research methods to explore the mechanism of digital inclusive finance on the upgrading of agricultural industrial structure. By collecting panel data from 16 cities in Anhui Province from 2015 to 2022, combined with spatial econometric models and typical case analysis, it reveals the differentiated impact of digital inclusive finance through improved credit availability, technological diffusi
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19

Rosienkiewicz, Maria. "Artificial intelligence-based hybrid forecasting models for manufacturing systems." Eksploatacja i Niezawodnosc - Maintenance and Reliability 23, no. 2 (2021): 263–77. http://dx.doi.org/10.17531/ein.2021.2.6.

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The paper addresses the problem of forecasting in manufacturing systems. The main aim of the research is to propose new hybrid forecasting models combining artificial intelligencebased methods with traditional techniques based on time series – namely: Hybrid econometric model, Hybrid artificial neural network model, Hybrid support vector machine model and Hybrid extreme learning machine model. The study focuses on solving the problem of limited access to independent variables. Empirical verification of the proposed models is built upon real data from the three manufacturing system areas – prod
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20

Lam, Ka Chi, and Olalekan Shamsideen Oshodi. "Using Univariate Models for Construction Output Forecasting: Comparing Artificial Intelligence and Econometric Techniques." Journal of Management in Engineering 32, no. 6 (2016): 04016021. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000462.

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21

Rogowski, Andrzej, and Beata Zagożdżon. "Econometric models - a method for examining factors of implementation of public-private partnership projects in selected European countries." Journal of Civil Engineering and Transport 4, no. 3 (2022): 25–55. http://dx.doi.org/10.24136/tren.2022.010.

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Modern science is based on the study of economic phenomena and tries to quantify them in a measurable way. Econometric models are used for this purpose. The object of this research was to develop econometric models that show the strength of the influence of various factors on the implementation of public-private partnership (PPP) projects in the area of transport infrastructure in France, GB, Germany, the Netherlands and Belgium. The models express the dependence of the value and number of PPP contracts on the value of measurable PPP success factors. Projects with a value of at least EUR40 mil
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22

Lebedeva, Irina, Larisa Nоrіk, and Stepan Lebedev. "Government expenditure on education in the light of the paradigm of sustainable development: Econometric spatial models and models of dynamics." Development management 21, no. 3 (2023): 43–56. http://dx.doi.org/10.57111/devt/3.2023.43.

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The knowledge economy is a paradigm of the post-industrial stage of the development of society, therefore research on the relationship between the level of the main economic indicators and state spending on education is relevant. The purpose of this article was to assess the impact of the main economic indicators on the state spending on education both in total and per capita. Econometric models based on spatial data as well as dynamics models were constructed, and the Goldfeld-Quandt test was performed. The study was conducted on the example of the most influential countries of the world and
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Taikulakova, G. S., M. K. Myrzakhmet, B. K. Myrzakhmet, and G. О. Bazarhanova. "Analysis of the Entrepreneurial Activity of Regional Universities in the Process of Creation Industrial Clusters." Economics: the strategy and practice 19, no. 2 (2024): 100–122. http://dx.doi.org/10.51176/1997-9967-2024-2-100-122.

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The creation of industrial clusters is a crucial factor in the economic development of a region, enhancing competitiveness, innovation, and economic sustainability. Universities play a pivotal role in the formation and growth of these clusters by providing scientific and technical support and training. The entrepreneurial activities of universities, such as creating startups, conducting applied research and development, and forming strong ties with business and industry, facilitate the transfer of technology and innovation to the real economy. The research methodology is based on a comprehensi
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Басовский, Leonid Basovskiy, Басовская, and Elena Basovskaya. "System Model of Long-Term Technical and Economic Development." Economics 4, no. 5 (2016): 18–35. http://dx.doi.org/10.12737/22035.

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The results of the research of dissemination of technical and economic paradigms
 in developed economies are given. A system model of long-term technical and
 economic development is developed. The model assumes the simultaneous
 existence in the economy of several subsystems of different technical and
 economic paradigms. Each techno-economic paradigm is a new stage
 of development and different from the previous paradigm of higher productivity.
 Each subsequent industrial techno-economic paradigm provides higher
 productivity due to higher capital intensity
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25

Ignatieva, Elena, and Alla Serkova. "THE IMPACT OF INFRASTRUCTURE PROVISION ON ECONOMIC GROWTH IN INDUSTRIAL REGIONS OF THE RUSSIAN FEDERATION." Bulletin of the South Ural State University series "Economics and Management" 16, no. 3 (2022): 7–16. http://dx.doi.org/10.14529/em220301.

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The aim of the research, which constitutes the content of this article, is to analyze the impact of infrastructure provision on economic growth in industrial regions, as well as to substantiate the methodological approach to this analysis. Infrastructure and its constituent parts (production-economic, social and financial infrastructures) as an important factor in industrial and innovative development is the main subject of this study, and the industrial regions of the Russian Federation are chosen as the object of our study. The purpose of the study, as well as the specifics of the object of
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Karpenko, Elena, and Kristina Shestakova. "Management of industrial development of the country: theoretical aspects and tools." University Economic Bulletin, no. 49 (May 22, 2021): 81–87. http://dx.doi.org/10.31470/2306-546x-2021-49-81-87.

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The relevance of the research topic is substantiated by the revival of the world community's interest in industry as a driver of economic development. The problem is that industrial development has a number of limitations as a result of imbalances between the resource potential of the economic system, its institutional structure and the dominant technical and economic paradigm, which require the development of special management tools. An analysis of recent publications shows the presence of scientific interest in the search for the relationship between the content of industrial policy, which
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Zaytsev, Andrey, Evgeniy Konnikov, Yuliya Asaturova, and Svetlana Didenko. "Modelling the cyclic influence of climate change on the world economic system." E3S Web of Conferences 211 (2020): 02007. http://dx.doi.org/10.1051/e3sconf/202021102007.

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Global climate change has become one of the central problems of the world economy over last decades. Its impact on the economy forces it to adapt to the new conditions. Increasing carbon dioxide (CO2) emissions, resulting in the greenhouse effect, depletion of natural resources, pollutions and health problems directly caused by achievements of the industrial revolution have been catastrophic for the environment. The object of the research in this work is the world economic system. The aim of the research is to analyze the factors affecting climate change and to produce recommendations for prev
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Chen, Xiaohong, Guodong Yi, Jia Liu, Xiang Liu, and Yang Chen. "Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach." International Journal of Environmental Research and Public Health 15, no. 10 (2018): 2095. http://dx.doi.org/10.3390/ijerph15102095.

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This research utilizes the environmental Kuznets curve to demonstrate the interrelationship between economic growth, industrial structure, and water quality of the Xiangjiang river basin in China by employing spatial panel data models. First, it obtains two variables (namely, CODMn, which represents the chemical oxygen demand of using KMnO4 as chemical oxidant, and NH3-N, which represents the ammonia nitrogen content index of wastewater) by pretreating the data of 42 environmental monitoring stations in the Xiangjiang river basin from 2005 to 2015. Afterward, Moran’s I index is adopted to anal
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Saginova, S., V. Stukach, and G. Sultanova. "Econometric analysis of the development of labor potential of agro-industrial complex of Kazakhstan." Problems of AgriMarket, no. 1 (March 30, 2024): 207–18. http://dx.doi.org/10.46666/2024-1.2708-9991.18.

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The goal is to reveal the basis for the formation of labor potential in agriculture, its condition and role in socio-economic development of rural areas. Consider theoretical foundations of economic and mathematical modeling of dynamics of the formation of human resources in agro-industrial complex of Kazakhstan. Methods - application of methodology for carrying out forecast calculations based on econometric model in the form of a system of joint equations, tracing the connection of labor market with changes in demographic structure of the country's rural population. The study used statistical
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ZHANG, Shutian. "Research on the Impact of the Development of New Agricultural Business Entities on Agricultural Carbon Emission Intensity." Chinese Sustainable Development Review 3, no. 3 (2024): 62–73. http://dx.doi.org/10.48014/csdr.20240417002.

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Based on the panel data of 30 provinces in China (excluding Xizang, Hong Kong, Macao, and Taiwan) from 2010 to 2022, this article employs spatial fixed-effects models, mediation effect models, spatial econometric models, and other methodologies to examine the impact of the development of new agricultural business entities on agricultural carbon emission intensity. The results indicate that new agricultural business entities significantly reduce agricultural carbon emission intensity. However, there exist notable differences in the mechanisms through which different types of new agricultural bu
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Zhang, Shuhua, Jian Li, Bao Jiang, and Tianmiao Guo. "Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1343. http://dx.doi.org/10.3390/ijerph20021343.

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Government intervention and structural transformation play an important role in both the economy and carbon emissions. Based on provincial panel data from China from 2003 to 2020, this paper employs econometric models to investigate the impact of government intervention and structural transformation on carbon emissions. In particular, structural transformation is divided into two indicators: The rationalization of the industrial structure and the upgrading of the industrial structure. According to the research findings, government intervention has significantly promoted carbon emissions and st
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Ogunsola, Akindele John, and Talent Thebe Zwane. "Energy Efficiency Policies and Industrial Growth: Unlocking West Africa’s Production Potential." International Journal of Energy Economics and Policy 15, no. 2 (2025): 441–51. https://doi.org/10.32479/ijeep.18138.

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The paper objective is crucial because the study analyzes how energy efficiency policies affect industrial growth in 16 West African countries from 2000 to 2023, therefore addressing the energy challenges and low industrial performance in the region for sustainable growth. The limited research with regard to the interplay of energy efficiency and industrial development in the context of West Africa motivated this study and integrates the endogenous growth theory, focusing on technological innovation, human capital, and resource efficiency. In particular, this study applies several high-tech ec
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Cojocaru, Ruxandra Maria, Maria Bianca Bolboașă, Marina-Diana Agafiței, Narcis Copcă, and Florin Stelian Grosu. "Unveiling Regional Disparities in Unemployment: A Spatial Econometric Study of Spain." Sustainability 17, no. 3 (2025): 1270. https://doi.org/10.3390/su17031270.

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This present work investigates the spatial distribution of the unemployment rate in Spain, one of the European countries with the highest recorded level of unemployment. The unemployment rate reached 16% during the pandemic. For this purpose, data from 2020 were used, such as the growth rate of the number of companies and entrepreneurs, the percentage of the workforce employed in the industrial sector, and the percentage of young people aged 16–25 years. All of these data were collected at the provincial level. The importance of spatiality in unemployment estimation is proven using regressions
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Munaf, Marza Neama, and kadhim Ayal Alyaa. "The Impact of Exports on Kaldor Square Components: An Econometric Study of the Iraqi Economy Using the ARDL Model for the Period (2004-2023)." SSR Journal of Economics, Business and Management (SSRJEBM) 2, no. 1 (2025): 40–48. https://doi.org/10.5281/zenodo.15478601.

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This study aims to analyze the standard impact of exports on the components of the Kaldor Square in the Iraqi economy during the period (2004-2023), using the ARDL model, which is one of the models suitable for dealing with time series data with different levels of integration. This research examines the relationship between exports and industrial output, industrial employment, and industrial productivity, with the aim of determining the effectiveness of exports in stimulating real economic growth in Iraq. Initial results showed the existence of varying correlations in the long run between exp
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Zhou, Chunbo, and Marios Sotiriadis. "Exploring and Evaluating the Impact of ICTs on Culture and Tourism Industries’ Convergence: Evidence from China." Sustainability 13, no. 21 (2021): 11769. http://dx.doi.org/10.3390/su132111769.

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Information and communications technologies (ICTs) have been driving the digital revolution of all industries worldwide. Industrial convergence constitutes a new feature and trend of contemporary industrial development and has received extensive attention from the media and public. However, the interrelationship between the two concepts—industrial convergence and ICTs—remains under-researched. This paper aims to explore and evaluate the ICTs’ impact on industrial convergence by focusing on the interrelationship between culture and tourism. The study takes an industrial economics perspective wi
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Zeng, Fanyi. "The Impact of Financial Innovation on China's Provincial Economic Resilience." BCP Business & Management 30 (October 24, 2022): 9–18. http://dx.doi.org/10.54691/bcpbm.v30i.2253.

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Financial innovation's impact on the socio-economic resilience cannot be disregarded in the context of the ongoing pursuit of innovation. This study employs a variety of econometric models, including the moderating effect and the mediating effect, to experimentally assess the relationship between financial innovation and economic resilience. The study's findings show that: financial innovation can significantly boost a province's economic resilience; the proportion of state-owned enterprises mitigates the benefits of financial innovation for economic resilience; and improving industrial struct
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Gilmutdinov, R. Z., and L. R. Tukhvatullina. "STUDY OF TAX REVENUE MODELS DEPENDING ON STATE SUPPORT." Bulletin USPTU Science education economy Series economy 4, no. 42 (2022): 50–56. http://dx.doi.org/10.17122/2541-8904-2022-4-42-50-56.

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The purpose of this work is to build an econometric model and identify the dependence of the volume of tax revenues from the small and medium-sized business sector on the amount of support funds allocated by the state. It is relevant not only to build appropriate econometric models, but also to choose the best model. The object of the study is entrepreneurship and regional policy of the Republic of Tatarstan in 2002-2017. The analysis of the studied objects and the construction of econometric models will be carried out using paired linear, quadratic, and hyperbolic regressions. Of course, the
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Caswell, Julie A. "Using industrial organization and demand models for agribusiness research." Agribusiness 8, no. 6 (1992): 537–48. http://dx.doi.org/10.1002/1520-6297(199211)8:6<537::aid-agr2720080605>3.0.co;2-5.

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Kurlov, V. V., M. A. Kosukhina, and A. V. Kurlov. "Model for assessing the digital maturity of an industrial enterprise." Economics and Management 28, no. 5 (2022): 439–51. http://dx.doi.org/10.35854/1998-1627-2022-5-439-451.

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Aim. The work aimed to develop a quantitative model for assessing the digital maturity of an industrial enterprise.Tasks. The work was performed to define the concept of digital maturity of an industrial enterprise; systematize existing approaches to assessing the digital maturity of an industrial enterprise; conduct a critical analysis of existing approaches in terms of taking into account the requirements of the TOGAF corporate architecture levels, the requirements for the reliability of the assessment results; and propose a quantitative model for assessing the digital maturity of an industr
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Mi, Kena, and Rulong Zhuang. "Producer Services Agglomeration and Carbon Emission Reduction—An Empirical Test Based on Panel Data from China." Sustainability 14, no. 6 (2022): 3618. http://dx.doi.org/10.3390/su14063618.

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Although China has a high rate of economic development, it still faces the problems of unstable industrial structure, low industrial level, and large carbon emissions, which pose huge challenges to China’s sustainable development. China is working hard to develop producer services to achieve industrial transformation and reduce carbon emissions. In this context, there is an extremely urgent need to conduct academic research on changes in producer service agglomeration and carbon emissions. Whether the producer service industry has agglomeration characteristics, and whether the producer service
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Żurakowska-Sawa, Joanna. "Conditions of Economic Efficiency of Industrial Enterprises in the Enterprise Life Cycle Stages." Economic and Regional Studies / Studia Ekonomiczne i Regionalne 12, no. 3 (2019): 287–301. http://dx.doi.org/10.2478/ers-2019-0026.

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SummarySubject and purpose of work: The purpose of the study is to determine the variables determining the level of synthetic measure of economic efficiency in listed companies of the industry sector as part of their enterprise life cycle.Materials and methods: The article uses data from annual unitary financial statements of industrial enterprises according to the classification of the Warsaw Stock Exchange and data describing the macroeconomic situation of the state economy. The research period covered the years 1999-2012. In order to examine which factors determine the level of economic eff
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Xing, Lizhi, Xi Ai, Jiaqi Ren, and Dawei Wang. "Network-Based Driving Force of National Economic Development: A Social Capital Perspective." Entropy 23, no. 10 (2021): 1276. http://dx.doi.org/10.3390/e23101276.

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Network science has been widely applied in theoretical and empirical studies of global value chain (GVC), and many related articles have emerged, forming many more mature and complete analytical frameworks. Among them, the GVC accounting method based on complex network theory is different from the mainstream economics in both research angle and content. In this paper, we build up global industrial value chain network (GIVCN) models based on World Input–Output Database, introduce the theoretical framework of Social Capital, and define the network-based indicators with economic meanings. Second,
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Makarenko, Petro, Oleksandr Belov, Andrii Makarenko, and Lyudmyla Svystun. "Assessment of high-tech export dynamics and the impact of its cyclicality on GDP and the country’s production reserves." Technology audit and production reserves 3, no. 4(83) (2025): 76–86. https://doi.org/10.15587/2706-5448.2025.329470.

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The object of this research is the dynamics of high-tech exports and their impact on GDP and production reserves. The instability of high-tech exports can hinder long-term economic growth, particularly in economies where technological sectors play a crucial role in national competitiveness. To address these issues, the research employs an econometric approach that integrates both linear and cyclical components to analyze the structural dynamics of high-tech exports. As a result, the research identifies two dominant economic cycles, lasting 3.8 and 5.7 years respectively, which significantly in
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Kostrub, Vitalii. "Business Models of Seasonal Logistics Services in The U.S. Agricultural Sector." American Journal of Management and Economics Innovations 07, no. 06 (2025): 74–81. https://doi.org/10.37547/tajmei/volume07issue06-07.

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This article conducts a systematic analysis of business models for seasonal logistics services within the United States’ agri-industrial sector. Its relevance is underscored by significant crop losses due to delays in transportation and growing demand for flexible delivery solutions for fresh produce and agricultural inputs. The study’s novelty lies in comparing two organizational paradigms: specialized agro-logistics operators versus general carriers that retool their fleets seasonally to handle perishable goods. We describe the scale of seasonal movements, rate dynamics, workforce and equipm
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Oleg S., Sukharev. "Industrial growth and technological prospects." Journal of New Economy 23, no. 1 (2022): 6–23. http://dx.doi.org/10.29141/2658-5081-2022-23-1-1.

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For Russia, technological prospects of industrial growth come from Industry 4.0. The possibilities for their realisation depend on the combination of labour and fixed capital. The study focuses on identifying the conditions for the growth of capital in the industry, which creates it for both industrial and non-industrial sectors, as an important process that symbolises technological renewal. In addition to the introduction of digital technologies, a very wide range of production technologies need to be replaced. Methodologically, the research relies on the theory of industrial growth; employs
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Agbarakwe, Ugochukwu Henry, and Donatus Fii. "Trade Policy and Manufacturing Sub-Sector Output in Nigeria (1986-2020)." Global Academic Journal of Humanities and Social Sciences 5, no. 05 (2023): 217–35. http://dx.doi.org/10.36348/gajhss.2023.v05i05.003.

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The objective of the research was to determine the relationship between trade policy and the output of the manufacturing sector. Three hypotheses were formulated. The study adopted ordinary least squares econometric approach on the time series data from 1986 to 2020 to generate the estimates of the models to test the hypotheses at 5% level of significance. The research concluded that there is a positive relationship between manufacturing sector output the and trade liberalization while there is a negative relationship between trade protectionism and manufacturing sector output in Nigeria for t
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Hu, Genhua, Xuejian Zhang, Jing Yang, Wenda Sun, and Tingting Zhu. "Uncovering the Mechanism of Elevating High-Tech Export Competitiveness in China’s Sustainable Economic Development: Force of Digital Economy." Sustainability 17, no. 8 (2025): 3667. https://doi.org/10.3390/su17083667.

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The accelerating growth of the digital economy is fundamentally transforming international trade patterns and increasingly contributing to sustainable economic progress. Despite this, there is still limited research on how it influences the competitiveness of high-tech exports. Addressing this research gap, the present study investigates the mechanisms through which the digital economy strengthens the competitiveness of high-tech exports—an essential engine for sustainable growth. China, recognized as a leader in digital innovation, serves as the focal point of this analysis. Drawing on panel
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Rötheli, Tobias F. "Estimation of evolutionary models as a tool for research in industrial organization." Journal of Socio-Economics 37, no. 1 (2008): 138–48. http://dx.doi.org/10.1016/j.socec.2006.12.027.

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Myszczyszyn, Janusz, and Błażej Suproń. "Relationship among Economic Growth, Energy Consumption, CO2 Emission, and Urbanization: An Econometric Perspective Analysis." Energies 15, no. 24 (2022): 9647. http://dx.doi.org/10.3390/en15249647.

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The key goal of this research was to figure out the short and long run relationship between environmental degradation caused by carbon dioxide (CO2) emissions and energy consumption, the level of GDP economic growth, and urbanization in the Visegrad Region countries (V4). The study used data from the years 1996–2020. In the methodological area, ARDL bound test, and ARDL and ECM models were used to determine the directions and strength of interdependence. The results show that in the case of some V4 countries (Poland, Slovakia, and Hungary), changes in the urbanization rate affect CO2 emissions
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Basovskiy, Leonid, and Elena Basovskaya. "Production Functions of Labor Productivity in Modern Russia." Scientific Research and Development. Economics 8, no. 3 (2020): 18–22. http://dx.doi.org/10.12737/2587-9111-2020-18-22.

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To identify determinants of labor productivity, correlation relationships of productivity of various indicators was evaluated, reflecting the influence of a wide range of socio-economic and innovative factors in the regions of Russia for 2015-2017. It has been established that many indicators characterizing socio-economic and innovative factors do not have a significant relationship with labor productivity and are multicollenarity (they have correlation relationships among themselves). For each year, according to statistics of 82 regions of Russia, econometric models in the form of a well-know
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