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Artículos de revistas sobre el tema "And Industry Forecast 2023-2027"

Autor: Grafiati
Publicado: 25 de julio de 2024
Última modificación: 31 de julio de 2025

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1

Muftaydinov, Kiyomidin, and Ilkhomjon Yuldashevich Umarov. "MODELING AND FORECASTING ECONOMIC PROCESSES OF FOOD INDUSTRY ENTERPRISES." Annali d'Italia 61 (November 27, 2024): 31–35. https://doi.org/10.5281/zenodo.14230797.

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Today, for the effective development of the food industry in Uzbekistan, it is important to develop effective economic and managerial decisions and ensure their implementation. The article developed a model of the relationship between the cost of gross production and the depreciation of fixed assets and intangible assets. The ascending order of the case under study is shown by flattening the time series using the least squares method. The dynamics of the wage fund, depreciation of fixed assets and intangible assets in the food industry of the Republic of Uzbekistan in 2014-2023 and foreca
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2

Sushchenko, Olena, and Oleksii Pohuda. "Analysis of the development factors of the passenger air transport market in the tourism sector." Економіка і регіон/ Economics and region, no. 1(92) (February 9, 2024): 168–73. https://doi.org/10.26906/eir.2024.1(92).3325.

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The article analyses the factors that determine the development of the passenger air transport market. It analyses the dynamics of international tourist arrivals in the regions of the world in 2019-2023 and identifies the busiest routes in the world in 2023. Also, it provides an analysis of the actual and forecast level of global traffic losses and the pace of its recovery. It was determined that according to the optimistic forecast, passenger traffic in 2027 should exceed the level of 2019 by 31%. It was also identified that the impact of global and local events has had a negative impact on b
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3

SAVCHENKO-BELSKII, K. A., E. I. MANTAEVA, and A. A. MANTSAEVA. "ESTABLISHMENT OF A TOURIST AND RECREATIONAL CLUSTER IN THE REGION: REASONABILITY AND FORECAST." Scientific Works of the Free Economic Society of Russia 239, no. 1 (2023): 180–202. http://dx.doi.org/10.38197/2072-2060-2023-239-1-180-202.

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The article assesses the feasibility of establishing a regional economic cluster. The assessment is tested for the tourism industry. It is based on a two-level classification system of Russian regions and simulation modeling. The classification made it possible to single out typological groups of regions with different industry orientations and to identify groups of different industry development levels. Simulation modeling required studying a number of indicators of the tourism industry and identifying patterns and processes occurring in it in a formalized form. Using built models, the result
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4

Bylina, Svetlana Gennadievna. "FORECAST ESTIMATES OF LABOR DEMAND IN AGRICULTURE IN RUSSIA." AIC: economics, management, no. 3 (March 1, 2025): 124–34. https://doi.org/10.33305/253-124.

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The influence of the parameters of development of the Russian agricultural sector on the need for workers is studied. Using econometric models, a forecast estimate of the demand for labor in agriculture, forestry, hunting and fishing is made based on the criteria of sectoral development laid down in state program documents: the State Program for the Development of Agriculture and Regulation of Agricultural Products, Raw Materials and Food Markets (State Program), the Strategy for the Development of the Agro-Industrial and Fishing Complexes of the Russian Federation for the Period up to 2030 (S
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5

HOSSEN, Sayed Mohibul, Mohd Tahir ISMAIL, and Mosab I. TABASH. "THE IMPACT OF SEASONALITY IN TEMPERATURE FORECAST ON TOURIST ARRIVALS IN BANGLADESH: AN EMPIRICAL EVIDENCE." GeoJournal of Tourism and Geosites 34, no. 1 (2021): 20–27. http://dx.doi.org/10.30892/gtg.34103-614.

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In the present study, we aim to investigate how seasonality influences the climate changes on the outdoor thermal comfort for traveling to visit Bangladesh. Wherein, the effect of temperature on tourist arrival is assessed using SANCOVA and SARIMA model at seven attractive sightseeing diverse places in Bangladesh. The highest temperature has appeared in Khulna and Rajshahi with 35.53 °C and 35.85 °C and the lowest temperature was appeared in Rajshahi and Rangamati with 10.40 °C and 11.72 °C, respectively. This result also revealed that the temperature for Dhaka, Chittagong, Cox’s Bazar, Khulna
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6

XU, QIAN, HUA CHENG, and YABIN YU. "Analysis and forecast of textile industry technology innovation capability in China." Industria Textila 72, no. 02 (2021): 191–97. http://dx.doi.org/10.35530/it.072.02.1759.

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The textile industry of China has been facing with fierce competition and transformational pressures. It is of great significance to study the evolution of textile industry’s technological progress and to predict the trends. The study analyses the technological innovation ability of China’s textile industry based on the data of 270,145 patent applications from 1987 to 2016. At the same time, the Logistic model is used to forecast the technology innovation capability of China’s textile industry. The study found out: the number of Chinese textile patent applications is on a upward trend; enterpr
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7

Gajdzik, Bożena. "Post-Pandemic Steel Production Scenarios for Poland Based on Forecasts of Annual Steel Production Volume." Management Systems in Production Engineering 31, no. 2 (2023): 172–90. http://dx.doi.org/10.2478/mspe-2023-0019.

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Abstract The paper presents the results of forecasts made for the volume of steel production in Poland based on actual data for the period from 2006 to 2021 with forecasting until 2026. The actual data used for the forecasts included annual steel production volumes in Poland (crude steel) in millions of tons. Basic adaptive methods were used to forecast the volume of steel production for the next five years. When selecting the methods, the course of the trend of the studied phenomenon was taken into account. In order to estimate the level of admissibility of the adopted forecasting methods, as
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8

Duanaputri, Rohmanita, Sulistyowati Sulistyowati, and Putra Aulia Insani. "Analisis peramalan kebutuhan energi listrik sektor industri di Jawa Timur dengan metode regresi linear." JURNAL ELTEK 20, no. 2 (2022): 50. http://dx.doi.org/10.33795/eltek.v20i2.352.

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Abstrak 
 Pada kehidupan sekarang maupun akan datang, energi listrik menjadi kebutuhan pokok masyarakat. Kebutuhan energi listrik selalu mengalami peningkatan, diikuti meningkatnya pertumbuhan penduduk. Permasalahan akan muncul apabila kebutuhan energi listrik tidak diperkirakan. Maka perlu dilakukan peramalan kebutuhan energi listrik untuk memprediksikan ketersediaan energi listrik di masa mendatang. Pada penelitian ini, dilakukan peramalan kebutuhan energi listrik menggunakan metode regresi linier pada sektor industri di Jawa Timur untuk tahun 2023-2027. Berdasarkan hasil perhitungan pr
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9

S. Milovanov, Svyatoslav. "Clinical Trials Trends of 2023 Year and Visionary to the Future." International Journal of Clinical Investigation and Case Reports 02, no. 01 (2023): 13–19. http://dx.doi.org/10.55828/ijcicr-21-04.

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Introduction: The importance of studying historical changes in the development of human activity is substantiated by the need to systematize such changes and the possibility of predicting them. Historical changes are extended in time and do not have clear boundaries, requiring greater involvement in their study and the prerequisites for their appearance. Clinical research is more than just the practical application of medical changes and discoveries. They make changes in medical practice but are subject to change. Changes in the clinical research industry are tendentious and develop gradually,
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10

KUMAR, AJAY, VINAY KUMAR, CHETNA, et al. "Forecasting cotton (Gossypium spp.) prices in major Haryana markets: A time series and ARIMA approach." Indian Journal of Agricultural Sciences 94, no. 9 (2024): 1013–18. http://dx.doi.org/10.56093/ijas.v94i9.150524.

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Economic outputs are an attractive prospect in any field and hence agriculture also relies heavily on economic stability. The costs associated with cotton farming are increasing and profitability is taking a hit in cotton cultivation. Timely and accurate forecast of the price helps the farmers switch between the alternative nearby markets to sale their produce and getting good prices. Present study was carried out during 2022 to 2023 in Haryana to provide some insights into the possible future prices of cotton (Gossypium spp.) with the help of data collected from AGMARKNET and various major co
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11

Rubtsova, Natalia. "Microfinance in the Russian Federation: Changes in Industry Indicators in the Context of Global Challenges." Baikal Research Journal 15, no. 1 (2024): 13–24. http://dx.doi.org/10.17150/2411-6262.2024.15(1).13-24.

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The purpose of the study was to predict the state of microfinance organizations in the Russian Federation, verify the trends that determine their development in the context of global geopolitical challenges. The research was carried out using logical and empirical methods. The article analyzes changes in the main indicators of the functioning of microfinance organizations (MFOs) in the Russian Federation over a ten-year period (2014–2023). Based on an analysis of changes in key indicators characterizing domestic microfinance organizations (the number of microfinance organizations, the volume o
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12

Zhang, Bowen. "Analysis of Bilibili's Competitive Strategy in the New Trends." BCP Business & Management 34 (December 14, 2022): 849–55. http://dx.doi.org/10.54691/bcpbm.v34i.3104.

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According to the "2022-2027 China Internet Video Industry Market Depth Research and Investment Strategy Forecast Report" published by the China Research Institute of Industry, as of the end of June 2021, the size of China's Internet users broke one billion, reaching 1.011 billion people, an increase of 0.22 billion people compared to the end of December 2020, the massive size of Internet users to promote the development of China's online video industry. The size of the short video market will increase more quickly between 2020 and 2022, with a compound annual growth rate of about 44%. The mark
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13

Liu, Chang, Rongjie Cai, Guanliang Chen, et al. "Development Analyses and Strategies for Pet Industry and related." Mathematical Modeling and Algorithm Application 4, no. 1 (2025): 47–55. https://doi.org/10.54097/cwx12v21.

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This paper analyzes the development trends and market demands of the pet industry in China and globally, particularly focusing on pet food production and related industries from 2019 to 2023, with forecasts for 2024-2026. Through comprehensive mathematical modeling including time series analysis, regression models, and impact assessment frameworks, we address two key problems: (1) Analysis of China’s pet industry development by pet type, revealing significant growth in the cat segment (CAGR 12.15%) while the dog segment shows stability;(2) Forecast of China’s pet food production and export val
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14

KRASNYKH, SERGEY S. "FORECAST SCENARIOS OF MINERAL PRODUCTION IN THE REGIONS OF THE URALS FEDERAL DISTRICT." Bulletin of Chelyabinsk State University 497, no. 3 (2025): 49–59. https://doi.org/10.47475/1994-2796-2025-497-3-49-59.

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In the context of sanctions restrictions, the Russian mining industry faces significant challenges related to reduced production volumes, limited access to technology and financial markets, and the need to reorient export flows. These problems are particularly relevant for key producing regions such as the Urals Federal District. The purpose of this paper is to develop forecast scenarios of mineral extraction volumes in the municipalities of the Urals Federal District until 2027, which will provide a basis for comprehensive strategies for sustainable development of the extractive industry. The
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15

Tahir, Saad, and Asher Ramish. "Xarasoft (Pvt) Ltd – vision 2027 to implement a digital supply chain for industry 4.0." Emerald Emerging Markets Case Studies 12, no. 1 (2022): 1–22. http://dx.doi.org/10.1108/eemcs-05-2021-0180.

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Learning outcomes This case study aims to be taught at an MBA level. Specifically, those students who are majoring in supply chain would benefit the most from this case study. This case study has elements of supply chain management, supply chain strategy, warehousing and logistics, and a digital supply chain for Industry 4.0. The learning outcome of this case study could be seen if the students are able to identify the challenges and opportunities of a digital supply chain for Industry 4.0 and how it could be implemented methodically. Teaching Objective 1: Students should be able to identify w
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16

Pîrvu, Daniela, Maria-Daniela Bondoc, and Luiza Mădălina Apostol. "Forecasting the Profitability of the Textile Sector in Emerging European Countries Using Artificial Neural Networks." Fibres & Textiles in Eastern Europe 32, no. 5 (2024): 39–48. http://dx.doi.org/10.2478/ftee-2024-0035.

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Abstract This study analyzes a set of key performance indicators for listed companies in the textile industry in emerging European countries: EBITDA margin, operating margin, pretax ROA, pretax ROE. Several statistical-econometric methods (dynamics analysis, structural analysis and regression) were used to provide an overview of the evolution of the public companies studied for the period 2012–2022, as well as a number of forecasts for the period 2023–2025. GMDH Shell software was used for public companies' pretax ROA forecast analysis in the textile industry in emerging European countries. Th
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17

López, Gustavo Rosal. "SS62-02 REFLECTIONS ON THE USE OF EXOSKELETONS IN THE HEALTHCARE SECTOR." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0361.

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Abstract For a few years now, the concept of Human 2.O has been very present in industry. Among the lines of work of Human 2.0, perhaps the best known is that of supporting the capabilities that humans have. Thus, we can talk about increasing human cognitive capabilities (example - augmented reality) and also physical capabilities (example -exoskeletons). And this last case is the one that we are going to evaluate in this study. The exoskeleton market was valued at USD 354.22 million in 2021, and it is expected to reach USD 1620.04 million in 2027, registering a CAGR of 12.5% during the foreca
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18

Dany-Knedlik, Geraldine, Oliver Holtemöller, Stefan Kooths, Torsten Schmidt, and Timo Wollmershäuser. "Gemeinschaftsdiagnose Herbst 2023: Kaufkraft kehrt zurück – politische Unsicherheit hoch." Wirtschaftsdienst 103, no. 10 (2023): 680–83. http://dx.doi.org/10.2478/wd-2023-0189.

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Abstract According to the Joint Economic Forecast, Germany’s gross domestic product will decline by 0.6% in 2023. This is a strong downward revision of 0.9 percentage points from the forecast made in spring 2023. The most important reason for this revision is that industry and private consumption are recovering more slowly than has been expected in spring. Germany has been in a downturn for more than a year. The sharp rise in energy prices in 2022 put an abrupt end to the recovery from the pandemic. However, wage increases have meanwhile followed the price hike, energy prices have fallen, and
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19

Widjanarko, Bambang, Awan Panjinata, Agus Sukoco, and Joko Suyono. "Analyzing the Financial Performance of PT. Steel Pipe Industry of Indonesia Tbk." International Journal of Industrial Engineering, Technology & Operations Management 1, no. 2 (2023): 86–92. http://dx.doi.org/10.62157/ijietom.v1i2.32.

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The financial report is a vital tool for acquiring insights into a company's financial position and business performance. Through financial statement analysis, crucial indicators pertaining to the company's financial health are unveiled, rendering it a valuable resource for guiding financial decision-making processes and offering a comprehensive portrayal of the company's performance. This study evaluates the financial performance of PT Steel Pipe Industry of Indonesia Tbk. and forecasts the company's sales turnover over the next five years. This research adopts a quantitative descriptive appr
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20

Alfyorov, S. Yu. "ANALYSIS OF THE GLOBAL COAL MARKET IN 1992–2023. FORECAST UP TO 2035." Geoeconomics of Energetics, no. 1 (April 8, 2025): 75–90. https://doi.org/10.48137/26870703_2025_29_1_75.

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The article presents a comprehensive analysis of coal consumption and production volumes from 1992 to 2023, with a detailed examination of the dynamics across countries and regions. The author identifies key players in the global coal market as well as the main trends in their development. Special attention is given to analyzing the factors driving transformations in the coal industry, including economic, ideological, geopolitical, and sanitary-epidemiological. The methodological basis of the study includes statistical analysis of coal production and consumption data by country, comparative an
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21

CHERNIAVSKYI, Ivan. "FORECASTING THE EXPORT POTENTIAL OF UKRAINIAN GRAIN INDUSTRY ENTERPRISES, TAKING INTO ACCOUNT THE LEVEL OF DEVELOPMENT OF DOMESTIC SELECTION." Ukrainian Journal of Applied Economics 4, no. 4 (2019): 199–208. http://dx.doi.org/10.36887/2415-8453-2019-4-23.

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The scientific article is devoted to the problem of forecasting the grain production volume and enterprise export potential of the Ukrainian grain industry (taking into account the development level of domestic breeding) for the medium term under 3 alternative scenarios. Grain sowing area was forecasted by 2023 using an adaptive forecasting model. The results of the conducted research show that by 2023 the area of corn sowing will increase to 4922 thousand hectares. The corn yield forecast for 2023 has been developed, which shows that the yield level will increase substantially. So, if in 2017
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22

Liu, Yibing. "Financial Analysis and Strategic Forecast of Toyota." Advances in Economics, Management and Political Sciences 43, no. 1 (2023): 218–24. http://dx.doi.org/10.54254/2754-1169/43/20232167.

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One of the main forces boosting the nations economic expansion is the automobile industry. It has developed a respectable market share in the worlds four-wheeler businesses, which are essential to certain economic sectors. The one-year study period was the fiscal year of 2023, and the key information was gathered from the annual reports of the corporations-Toyota and its competitors. The paper analysis the Toyota Motor Corporation in four parts. Collected the evidence from the annual report, industry report and so in, the paper analysis the automobile corporation deeply. Firstly, the Introduct
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23

Wu, Xiaoran. "A Financial Valuation and Strategic Forecast on Nike, Inc." Highlights in Business, Economics and Management 34 (June 10, 2024): 58–63. http://dx.doi.org/10.54097/3sg56a84.

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The objective of this article is to evaluate Nike Inc.'s overall performance in the past three years and make predictions about its future prospects. Initially, this paper will analyze the three most significant accounting policies outlined in Nike's annual report for 2023. This analysis will assist us in determining the company's effectiveness in managing its assets, utilizing them, generating profits, and identifying long-term development trends. Furthermore, this paper will conduct a comparative assessment of various financial ratios with competitors within the Nike industry to gauge the co
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24

Barač Miftarević, Sandra. "Medical Tourism in Croatia." Journal of applied health sciences 8, no. 1 (2022): 121–31. http://dx.doi.org/10.24141/1/8/1/11.

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Recently, medical tourism became one of the rapidly growing industries globally with 25% growth yearly with the value of over 200 billion euros. North America, Asia and Europe hold the most significant share of this value. According to The Medical Tourism Market – Global Industry Analysis Report, the forecast by 2027 will be a value of 272.70 billion US dollars. Croatia has strong potential for developing the medical tourism industry as an integral and essential part of the whole tourism industry in Croatia. But, lack of political will and public sector efforts decrease these opportunities. Fu
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25

Xu, Mingyu, Xin Lai, Yuying Zhang, et al. "An Integrated Hog Supply Forecasting Framework Incorporating the Time-Lagged Piglet Feature: Sustainable Insights from the Hog Industry in China." Sustainability 16, no. 19 (2024): 8398. http://dx.doi.org/10.3390/su16198398.

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The sustainable development of the hog industry has significant implications for agricultural development, farmers’ income, and the daily lives of residents. Precise hog supply forecasts are essential for both government to ensure food security and industry stakeholders to make informed decisions. This study proposes an integrated framework for hog supply forecast. Granger causality analysis is utilized to simultaneously investigate the causal relationships among piglet, breeding sow, and hog supply, as well as to ascertain the uncertain time lags associated with these variables, facilitating
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26

YUMASHEVA, E. I. "Market of Finishing and Thermal Insulation Materials in 2023." Stroitel'nye Materialy 819, no. 11 (2023): 75–79. http://dx.doi.org/10.31659/0585-430x-2023-819-11-75-79.

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The 15th annual conference of the Construction Information company took place in St. Petersburg on October 12–13, 2023. More than 120 representatives from 72 organizations from three countries took part in its work – commercial directors, heads of marketing departments, dealer centers, supply and sales specialists. Traditionally, the conference examines the results of the work of the Russian construction complex as a whole over the past year, as well as a number of sub-sectors of the building materials industry. The main results of the work of the industry of dry building mixtures, gypsum fini
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27

Kuznetsov, V. V., O. A. Kholodov, and T. I. Sharovatova. "Forecast parameters of the crop industry development in the Rostov region." Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta. Seriya Ekonomika i upravlenie, no. 4 (2023): 5–17. http://dx.doi.org/10.18323/2221-5689-2023-4-5-17.

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The paper describes the forecast parameters of the sustainable development of the crop industry in the Rostov region, which determine the key trends of the agricultural sector of the region. The data of the Ministry of Agriculture and Food of the Rostov region, research papers and scientific publications on this problem were used as the analytical base for conducting the research. The research involved the analysis of the current state of the crop production industry in the Rostov region and an assessment of its resource potential. Studies have shown that the effective use of the existing reso
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Kasatkina, Ekaterina, Daiana Vavilova, and Rinat Faizullin. "Development of econometric models to forecast indicators of the livestock industry." E3S Web of Conferences 548 (2024): 03002. http://dx.doi.org/10.1051/e3sconf/202454803002.

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The article discusses the importance of animal husbandry in ensuring food security and maintaining a high quality of life. In the current study, statistical monthly data on animal husbandry in the Udmurt Republic from 2018 to 2023 is analyzed to create models for forecasting key indicators: the average daily milk yield, the number of cows, and the total volume of milk production. The model of the average daily milk yield takes into account seasonal fluctuations, temperature, and time trends, with an average relative error of just 1.55%. The autoregressive model for predicting the number of cat
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29

Loseva, A. V., and G. I. Gadzhimirzoev. "Dynamics and prospects of development of China’s fishing industry and its role in the global economy." Trudy VNIRO 194 (January 22, 2024): 218–27. http://dx.doi.org/10.36038/2307-3497-2023-194-218-227.

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Objective: to reflect the retrospective, current and prospective state of the fishing industry in China, to assess the existing trends and highlight their key factors.Method: general scientific methods of analysis and synthesis, as well as methods of statistical processing, analysis and visualization of data were used.Novelty: the main factors and conditions that ensure the progressive growth of the fishing industry in China are identified; a forecast model for the growth of fish production is constructed.Results: The key indicators of China’s fishing industry in retrospect and the current sta
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Thomakos, Dimitrios D., Marilou Ioakimidis, and Konstantinos Eleftheriou. "Forecasting Tourism Demand for Medical Services." Journal of Developing Areas 57, no. 3 (2023): 315–20. http://dx.doi.org/10.1353/jda.2023.a907749.

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ABSTRACT: Medical tourism is considered nowadays as a multi-billion industry which can promote a country's economic growth. Therefore, forecasting the scheduled tourism demand for medical services is of great importance for policy makers. Doing so, however, is not an easy task due to the following reasons: Data on medical tourism are (i) not easily accessible; (ii) not typically distinguished from tourists' non-scheduled (unintentional) use of a country's medical services; and (iii) usually not publicly available for long time periods. In this paper, we present a novel way to forecast tourism
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Ladan, Musa Sanni, Yohanna Tella, and Oluwagbenga Falola. "Time Series Analysis on Monthly Production of Crude Oil in Nigeria." Journal of Science Research and Reviews 1, no. 2 (2025): 1–13. https://doi.org/10.70882/josrar.2024.v1i2.8.

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This study delves into a comprehensive time series analysis of the monthly production of crude oil, in Nigeria, a critical component of the country’s economy and a significant player in the global oil market. Understanding patterns, trends, and dynamics of crude oil production is essential for policymakers, industry stakeholders, and researchers to make informed decisions and forecasts. The research utilizes monthly secondary data on crude oil production in Nigeria, collected from the Nigeria National Petroleum Cooperation (NNPC) annual statistical bulletin 2010 and 2023 respectively, to explo
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32

Zasuhina, Ol'ga, Anna Terekhova, Grigory Shitenkov, Leonid Golovatiukov, Nikolay Malinin, and Alexandra Khukhryanskaya. "FORECAST, DEVELOPMENT AND PROSPECTS FOR DIGITALIZATION IN THE ELECTRIC POWER INDUSTRY." Bulletin of the Angarsk State Technical University 1, no. 17 (2023): 22–27. http://dx.doi.org/10.36629/2686-777x-2023-1-17-22-27.

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Solutions, trends and opportunities for digitalization in the energy industry, and information se-curity issues are considered. An analysis of new national standards in the information sphere is provided
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Şeker, Ferhat. "Combining the power of artificial intelligence and mathematical modelling: A hybrid technique for enhanced forecast of tourism receipts." European Journal of Tourism Research 36 (November 1, 2023): 3614. http://dx.doi.org/10.54055/ejtr.v36i.3246.

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Despite being one of the most visited countries in the world, Türkiye's share of tourism revenue does not rank among the top ten. Therefore, it would be worth researching tourist expenditures and analysing this data could provide valuable insights. This research develops a novel approach to estimating and modelling tourism receipts by analysing expenditure types. Artificial intelligence-based methods, such as machine learning, have been increasingly used in the tourism literature to improve various aspects of the industry. However, little research has been conducted using a hybrid method to mo
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Palka, Dorota, Peter Blistan, and Henryk Badura. "Forecast of the Maximum Methane Concentration in the Longwall Outlet and in the Ventilation Roadway. Case Study." Management Systems in Production Engineering 31, no. 4 (2023): 398–403. http://dx.doi.org/10.2478/mspe-2023-0044.

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Abstract The mining process of the coal seam wall is accompanied by the release of methane into the mine atmosphere. This process is highly variable and depends on the methane content in the seam and the methane saturation of the rocks surrounding the seam. This is the specificity of the Polish hard coal mining industry. In the article, prognostic formulas for the maximum methane concentration at the outlet of the longwall ventilation gallery were developed. In the presented article, these formulas were used to predict methane concentration at the longwall outlet and in the ventilation gallery
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Xiao, Qiang, and Hongshuang Wang. "Prediction of WEEE Recycling in China Based on an Improved Grey Prediction Model." Sustainability 14, no. 11 (2022): 6789. http://dx.doi.org/10.3390/su14116789.

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Accurate waste electrical and electronic equipment (WEEE) recycling forecast is an essential reference for optimizing e-waste industry layout and division of labor policies, conducive to better guiding enterprises’ recycling activities and improving the efficiency of WEEE recycling in China. The nonlinear grey Bernoulli model (NGBM (1,1)) was constructed by analyzing the recycling data characteristics of WEEE from 2012 to 2020, and a particle swarm optimization (PSO) algorithm was introduced to solve the model parameters and optimize the background value coefficients. The prediction results we
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36

YASHALOVA, Natal'ya N., and Denis M. TAVRIKOV. "Hardware industry of the Russian Federation: History of formation, current situation and forecast of development." Economic Analysis: Theory and Practice 23, no. 11 (2024): 2086–99. https://doi.org/10.24891/ea.23.11.2086.

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Subject. The article discusses the economics of the hardware industry of the Russian Federation. Objectives. The study aims at the forecast assessment of production volumes of hardware products in Russia, based on the analysis of strategic planning documents for the development of the main related sectors of the economy, using steel and wire products in their operations (construction, transport, energy, industry, agriculture). Methods. The study draws on research methods, like monographic, statistical and economic, systems analysis, and forecasting. Results. We considered the main aspects of t
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37

Zhou, Zhenghan. "A Review of the Global Economic Shock in 2022 and a Prediction of the Global Economic Development in 2023." Advances in Economics, Management and Political Sciences 21, no. 1 (2023): 142–52. http://dx.doi.org/10.54254/2754-1169/21/20230246.

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In 2022, affected by global macroeconomic fluctuations, the economies of some countries around the world have experienced obvious fluctuations, thereby promoting inflation in various countries and limiting the rapid development of some industries around the world. This paper reviews the global economic shock in 2022 and analyzes the impact of China's economy on global economic development from the perspective of the new energy sector. As an important part of new energy, the photovoltaic industry can be analyzed to obtain a development forecast of the global economy in 2023. By analyzing the de
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38

Lukomets, Artem. "TOOLS FOR IMPROVING RESOURCES IN PLANT PRODUCTION." Vestnik of Kazan State Agrarian University 18, no. 3 (2023): 180–85. http://dx.doi.org/10.12737/2073-0462-2023-180-185.

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Targeted and regulated management of crop production development and its resource support on the basis of the organizational and economic mechanism contributes to the achievement of goals with optimal resource consumption. As the methodological base of the study, general scientific methods, works of domestic and foreign scientists on crop production and products of its processing were used. The article considers tools for improving resource support as elements of the organizational and economic mechanism for the development of the industry. Tools for improving the resource support of crop prod
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39

Zhou, Kai, Zihao Li, and Zhaofeng Liu. "Trajectory Of Development in China's New Energy Vehicle Industry Through Data Analysis and Expectation." Highlights in Science, Engineering and Technology 96 (May 5, 2024): 132–38. http://dx.doi.org/10.54097/06ad5c42.

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Amidst a global shift towards sustainable transportation, this study conducts an in-depth analysis of data about China's new energy vehicle (NEV) sector from 2013 to 2022. This research primarily evaluates the standards and key factors influencing the NEV industry's evolution. Spearman correlation and decision tree models indicate that the average price of new energy vehicles and the government subsidies for them have the most significant impact on the development of the new energy industry in China. Expanding on these insights, a robust LASSO linear regression model was developed to further e
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40

Byastinova, L. M. "The use of Multifactor Regression Models in Forecasting in the Agricultural Sector of Yakutia." Vestnik of North-Eastern Federal University Series "Economics Sociology Culturology, no. 4 (December 20, 2023): 102–10. http://dx.doi.org/10.25587/2587-8778-2023-4-102-110.

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Under the constantly changing economic conditions of management, ensuring food security in the country, as well as in the regions becomes especially relevant. Agriculture is the only industry that is able to bring countries into a state of complete self-sufficiency, which is clearly indicated in the Doctrine of Food Security of Russia. With this in mind, the intensification of agricultural sectors, through the introduction of new technologies and improving the quality of land use is a particularly topical challenge. In this regard, the state faces the issues of the development of the industry
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41

Khrulkov, D. V. "Using the Indicator ‘Economiic Level of Technology’ in Managing Industrial and Technological Systems in Consumer Goods Industry." Vestnik of the Plekhanov Russian University of Economics 20, no. 2 (2023): 202–11. http://dx.doi.org/10.21686/2413-2829-2023-2-202-211.

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The article studies issues of assessing efficiency of production and technological systems (enterprises) in consumer goods industry. Sanction restrictions built new challenges for customer goods industry but at the same time opened new opportunities. The drawback of the current approaches to managing enterprises of customer goods industry is the absence of dynamic appraisal of the technological process quality, which can cause a delayed response to crisis phenomena. To provide efficient management it is proposed to use the indicator ‘economic level of technology’ (ELT) that implies complex ass
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42

Sonea, Cosmin, Dana Tapaloaga, Raluca Aniela Irimia Gheorghe, Maria Rodica Gurau, and Paul-Rodian Tapaloaga. "Milk Production Forecast Analysis in Romania - A Problem to Possible Solutions Approach." Annals of "Valahia" University of Târgovişte. Agriculture 15, no. 1 (2023): 9–12. http://dx.doi.org/10.2478/agr-2023-0003.

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Abstract Romania is a country located in southeastern Europe, known for its rich history, culture, and agriculture. One of the most important agricultural sectors in this country is milk production. In recent years, the milk production industry has faced numerous of challenges. In this direction, the aim of our paper was to use the exponential smoothing method of forecasting in order to analyse the milk production future trends, based on empirical data provided by FAOSTAT, and to provide some insights regarding possible solutions. According to our observations, in the following period (2023-20
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43

Chen, Yuanyuan, Mohammad Affendy Arip, and Nor Afiza Abu Bakar. "Cold Chain Logistics Demand Forecasting for Fresh Agricultural Foods in Fujian Province, China." International Journal of Religion 5, no. 5 (2024): 78–84. http://dx.doi.org/10.61707/e1m9vh53.

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China's current cold chain infrastructure for fresh agricultural products faces numerous challenges, particularly within the context of Fujian Province. The cold chain logistics sector in the region is characterized by limited development and requires immediate improvements in its foundational supporting infrastructure. The establishment of a comprehensive cold chain logistics system tailored for fresh agricultural goods remains incomplete, resulting in inefficiencies within the supply network. An in-depth examination of the necessity for refrigerated transportation networks for fresh agricult
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44

Młody, Michał, Milena Ratajczak-Mrozek, and Maja Sajdak. "Industry 4.0 technologies and managers’ decision-making across value chain. Evidence from the manufacturing industry." Engineering Management in Production and Services 15, no. 3 (2023): 69–83. http://dx.doi.org/10.2478/emj-2023-0021.

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Abstract The paper aims to identify how Industry 4.0 technologies affect the quality and speed of the managers’ decision-making process across the different stages of the value chain, based on the example of the manufacturing sector. The paper adopts qualitative research, based on nine in-depth interviews with key informants, to capture senior executives’ experiences with implementing Industry 4.0 technologies in their organisations. The research is focused on three manufacturing industries: the automotive, food and furniture industries. The research shows that depending on the stage of the va
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45

Satryo Muhammad Alfaizin, Putri Savitri, Dita Agustin, and Yandafiq Muntafa. "Analisis Prediksi Penjualan Menggunakan Metode Fuzzy Mamdani dan POM-QM : Studi Kasus pada CV Mamifood Sukses Abadi." Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika 3, no. 1 (2024): 48–59. https://doi.org/10.61132/jupiter.v3i1.655.

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In the increasingly competitive Industry 4.0 era, companies need to forecast product demand to meet consumer needs and improve operational efficiency. CV Mamifood Sukses Abadi, an MSME that produces milk and cheese-based foods, has faced sales fluctuations in the last two years, thus requiring accurate forecasting to plan production strategies and resource management. This research aims to forecast demand using the Fuzzy Mamdani method and the POM-QM application. Fuzzy Mamdani was chosen for its ability to handle decision-making with multiple criteria and balanced weights, while POM-QM was use
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46

Oba, K. M. "A Predictive Model for POP Cement Prices in the Nigerian Construction Industry." Journal of Engineering Research and Reports 25, no. 12 (2023): 14–23. http://dx.doi.org/10.9734/jerr/2023/v25i121037.

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This study was aimed at formulating a model to predict the price of Plaster of Paris (POP) cement using a multiple linear regression modelling technique. The prices of POP cement were predicted between the fiscal years 2024 and 2030, given the prices between the fiscal years 2017 and 2023. Secondary data were obtained for the Interest Rates, Inflation Rates, Naira exchange rates against the US Dollar, Population growth rates, and Gross Domestic Product (GDP) growth rates between 2017 and 2023. Primary data were obtained to investigate the prices at which POP was sold between the fiscal years 2
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47

Gu, Weifan, Baohua Guo, Zhezhe Zhang, and He Lu. "Civil Aviation Passenger Traffic Forecasting: Application and Comparative Study of the Seasonal Autoregressive Integrated Moving Average Model and Backpropagation Neural Network." Sustainability 16, no. 10 (2024): 4110. http://dx.doi.org/10.3390/su16104110.

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With the rapid development of China’s aviation industry, the accurate prediction of civil aviation passenger volume is crucial to the sustainable development of the industry. However, the current prediction of civil aviation passenger traffic has not yet reached the ideal accuracy, so it is particularly important to improve the accuracy of prediction. This paper explores and compares the effectiveness of the backpropagation (BP) neural network model and the SARIMA model in predicting civil aviation passenger traffic. Firstly, this study utilizes data from 2006 to 2019, applies these two models
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48

Wang, Shiyuan. "Analysis and Prediction of Online Beer Sales Based on SARIMA Model." BCP Business & Management 36 (January 13, 2023): 359–66. http://dx.doi.org/10.54691/bcpbm.v36i.3454.

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With the boom of e-commerce in China, online shopping has become the mainstream way of shopping in Chinese. To explore the impact of online shopping on beer sales, this paper uses a time series SARIMA model to analyze online beer sales data from January 2020 to September 2022 obtained from Internet platforms and predicts online beer sales from October 2022 to September 2023. This paper first introduces the current research on beer sales in China, and then briefly analyzes the current situation of the beer industry. Thirdly, based on the real data of beer online sales on the Internet platform,
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49

Walicka, Monika. "Mapping Strategies of Net Working Capital in the Energy Sector in Poland – Transformation Perspective." Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu 68, no. 2 (2024): 51–61. http://dx.doi.org/10.15611/pn.2024.2.05.

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The aim of the article is to identify net working capital management strategies used in the energy sector. The analysis covered all companies listed on the Warsaw Stock Exchange under the WIG-Energy industry index. The study was conducted on the basis of financial reports for 2022-2023, with data from the latest reported quarters, i.e. Q1 and Q2 of year 2023, used in strategy mapping. The ratio analysis method was used with reference to industry indicators, and the dynamics of changes in the examined indicators was taken into account. The research results indicate that currently energy entitie
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50

ZHILINA, Ekaterina V., Anzhelika A. NIKITINA, Elena A. KHUNAFINA, and Ilyuza M. KHANOVA. "Regional specific features of the consumer sector of the economy." Regional Economics: Theory and Practice 19, no. 8 (2021): 1406–19. http://dx.doi.org/10.24891/re.19.8.1406.

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Subject. This article discusses the development of meat food market in Russia. Objectives. The article aims to define trends in the development of the meat industry, forecast the meat food consumption in Russia, and analyze the effect of various factors on the meat food consumption level. Methods. For the study, we used a statistical analysis. Results. The article presents the forecast of meat food consumption until 2023 and describes the dependence of meat consumption on a number of factors. Conclusions. Changes in consumer behavior patterns are affecting the meat food market. The direct rela
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