VolRC RAS scientific journal
RuEn

Journal section "Public finances"

Forecasting the Impact of Investments on Spatial Heterogeneity in the Development of the Livestock Industry

Naumov I.V., Sedelnikov V.M.

Volume 16, Issue 2, 2023

Naumov I.V., Sedelnikov V.M. (2023). Forecasting the impact of investments on spatial heterogeneity in the development of the livestock industry. Economic and Social Changes: Facts, Trends, Forecast, 16(2), 88–111. DOI: 10.15838/esc.2023.2.86.5

DOI: 10.15838/esc.2023.2.86.5

Abstract   |   Authors   |   References
  1. Arkhipova M.Yu., Smirnov A.I. (2020). Current trends in crop yield forecasting based on the use of econometric models. Voprosy statistiki=Bulletin of Statistics, 27(5), 65–75. DOI: https://doi.org/10.34023/2313-6383-2020-27-5-65-75 (in Russian).
  2. Atikah N., Widodo B., Rahardjo S. et al. (2021). The efficiency of Spatial Durbin Model (SDM) parameters estimation on advertisement tax revenue in Malang City. Journal of Physics: Conference Series, 1821(1), 012012. Available at: https://doi.org/10.1088/1742-6596/1821/1/012012
  3. Augustine D.J., Booth D.T., Cox S.E., Derner J.D. (2012). Grazing intensity and spatial heterogeneity in bare soil in a grazing-resistant grassland. Rangeland Ecology & Management, 65(1), 39–46. Available at: https://doi.org/10.2111/rem-d-11-00005.1
  4. Bille A.G., Salvioni C., Benedetti R. (2015). Spatial heterogeneity in production functions models. International Conference of Agricultural Economists (ICAE) Agriculture in an Interconnected World, 16. DOI: 10.22004/ag.econ.211343
  5. Brovkova A.V. (2014). Improving methods of statistical analysis of socio-economic inequality and regional convergence in Russia. Vestnik Saratovskogo gosudarstvennogo sotsial’no-ekonomicheskogo universiteta, 2, 113–117 (in Russian).
  6. Bulteau J., Feuillet T., Le Boennec R. (2018). Spatial heterogeneity of sustainable transportation offer values: A comparative analysis of Nantes urban and periurban/rural areas (France). Urban Science, 2(1), 14. Available at: https://doi.org/10.3390/urbansci2010014
  7. Chikuvire T.J., Mpepereki S., Tigere T.A., Foti R. (2006). Exploitation of spatial heterogeneity for food security by smallholder farmers in a semi-arid area of Zimbabwe. Journal of Sustainable Development in Africa, 8(2), 15–28. Available at: http://jsd-africa.com/Jsda/Summer_2006/PDF/ARC_ExploitationSpatialHeterogeneityFoodSecurity.pdf
  8. Dubrova T.A. (2014). Applying multivariate statistical methods for analysis of the status and trends of the Russian meat market. Voprosy statistiki=Bulletin of Statistics, 8, 67–75. DOI: https://doi.org/10.34023/2313-6383-2014-0-8-67-75 (in Russian).
  9. Fang W., Huang H., Yang B., Hu Q. (2021). Factors on spatial heterogeneity of the grain production capacity in the major grain sales area in Southeast China: Evidence from 530 counties in Guangdong Province. Land, 10(2), 206. Available at: https://doi.org/10.3390/land10020206
  10. Gagarina G.Yu., Bolotov R.O. (2021). Valuation of inequality in the Russian federation and its decomposition using the Theil index. Federalizm=Federalism, 26(4)(104), 20–34. DOI: http:// dx.doi.org/10.21686/2073-1051-2021-4-20-34 (in Russian).
  11. Glazyrina I.P., Zabelina I.A., Klevakina E.A. (2010). Economic development and environmental impact disparities among Russia’s regions. Zhurnal Novoi ekonomicheskoi assotsiatsii=The Journal of the New Economic Association, 7, 70–88 (in Russian).
  12. Gorbatovskaya O. (2017). Factors and evaluation methods of territorial differentiation agricultural production. Agrarnaya ekonomika=Agrarian Economics, 6, 18–29 (in Russian).
  13. Han C., Wang G., Zhang Y. et al. (2020). Analysis of the temporal and spatial evolution characteristics and influencing factors of China’s herbivorous animal husbandry industry. PLOS ONE, 15(8), e0237827. Available at: https://doi.org/10.1371/journal.pone.0237827
  14. Khan A.A. (2020). Linking spatial patterns of livestock to the geographical variances in Turkey. Journal of Geography, 40, 109–117. Available at: https://doi.org/10.26650/JGEOG2019-0050
  15. Koç A.A., Lambert D.M., Bölük G. et al. (2017). A spatial analysis of the relationship between agricultural output and input factors in Turkey. New Medit, A Mediterranean Journal of Economics, Agriculture and Environment, 16(1), 11–17. Available at: https://newmedit.iamb.it/2017/03/15/a-spatial-analysis-of-the-relationship-between-agricultural-output-and-input-factors-in-turkey/
  16. Lv F., Deng L., Zhang Z. et al. (2022). Multiscale analysis of factors affecting food security in China, 1980–2017. Environmental Science and Pollution Research, 29(5), 6511–6525. DOI:10.1007/s11356-021-16125-1
  17. Malkina M.Yu., Balakin R.V. (2014). Valuation of the concentration and uniformity of the tax revenues distribution in the regions of the Russian Federation on the basis of the Herfindahl – Hirschman, Gini and Theil indices. Nalogi i nalogooblozhenie=Taxes and Taxation, 11(11), 1010–1023. DOI: https://doi.org/10.7256/1812-8688.2014.11.12546 (in Russian).
  18. Patrakova S.S. (2022). Assessing intraregional asymmetry of agricultural production in the Vologda Oblast. Problemy razvitiya territorii=Problems of Territory’s Development, 26(1), 27–42. DOI: 10.15838/ptd.2022.1.117.3 (in Russian).
  19. Pechenevskii V.F., Snegirev O.I. (2018). Forecasting accommodation and development of production of animal production in the region. Sovremennaya ekonomika: problemy i resheniya=Modern Economics: Problems and Solutions, 1(98), 75–84. DOI: https://doi.org/10.17308/meps.2018.1/1782 (in Russian).
  20. Piet L. (2017). Concentration of the agricultural production in the EU: The two sides of a coin. In: 15 European Association of Agricultural Economists (EAAE) Congress “Towards Sustainable Agri-Food System: Balancing between Markets and Society”, European Association of Agricultural Economists (EAAE). DOI: 10.22004/ag.econ.261439
  21. Postnikova E.A., Shiltsin E.A. (2009). Some fragments of the latest trends in regional development. Region: Ekonomika i Sotsiologiya=Region: Economics and Sociology, 3, 67–86 (in Russian).
  22. Shi B., Fu Y., Bai X. et al. (2021). Spatial pattern and spatial heterogeneity of Chinese elite hospitals: A country-level analysis. Frontiers in Public Health, 9, 710810. DOI: 10.3389/fpubh.2021.710810
  23. Shouying Y., Qiaoxi F. (2018). Spatial statistical analysis on geographical agglomeration of planting industry in Sichuan Province. In: Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018). Advances in Social Science, Education and Humanities Research. Available at: https://doi.org/10.2991/essaeme-18.2018.16
  24. Sibhatu K.T., Steinhübel L., Siregar H. et al. (2021). Spatial heterogeneity in smallholder oil palm production in Indonesia: Implications for intervention strategies. International Conference of Agricultural Economists (ICAE 2021). Available at: https://ageconsearch.umn.edu/record/315222/files/0-0_Paper_19141_handout_301_0.pdf
  25. Suvorov N.V., Akhunov R.R., Gubarev R.V., Dzyuba E.I., Faizullin F.S. (2020). Applying the Cobb – Douglas production function for analysing the region’s industry. Ekonomika regiona=Economy of Region, 16(1), 187–200. DOI: 10.17059/2020-1-14 (in Russian).
  26. Tolmachev M.N. (2010). Methodology of calculating the concentration of agricultural production. Vestnik NGU. Seriya: Sotsial’no-ekonomicheskie nauki=Vestnik NSU. Series: Social and Economics Sciences, 10(2), 103–111 (in Russian).
  27. Wagle T.P.S. (2016). Spatial analysis of Cobb-Douglas production function in agriculture sector of Nepal: An empirical analysis. Journal of Advanced Academic Research, 3(2), 101–114. Available at: https://doi.org/10.3126/jaar.v3i2.16759
  28. Wenbo M., Weiteng T., Qian Zh., Qianqian M. (2021). Analysis on the temporal and spatial heterogeneity of factors affecting urbanization development based on the GTWR model: Evidence from the Yangtze River Economic Belt. Complexity, 2021, 1–11. Available at: https://doi.org/10.1155/2021/7557346
  29. Yang W., Jia H., Wang C. et al. (2022). Spatial heterogeneity of household food consumption and nutritional characteristics of grassland transects in Inner Mongolia, China. Frontiers in Nutrition, 9. DOI: 10.3389/fnut.2022.810485
  30. Zhang Y., Li B. (2022). Detection of the spatio‐temporal differentiation patterns and influencing factors of wheat production in Huang‐Huai‐Hai region. Foods, 11(11), 1617. Available at: https://doi.org/10.3390/foods11111617
  31. Zimin A.F., Timiryanova V.M. (2016). The spatial change of the indicators of consumer market. Vestnik UGUES. Nauka, obrazovanie, ekonomika. Seriya ekonomika=Вulletin USAES. Science. Education. Economy. Series: Economy, 1(15), 44–49 (in Russian).
  32. Zubarevich N.V. (2013). Population income inequality: Spatial correction. Pro et Contra, 17(6), 48–60 (in Russian).
  33. Zubarevich N.V., Safronov S.G. (2013). The inequality of social and economic development of regions and cities of Russia of the 2000s: Growth or decline? Obshchestvennye nauki i sovremennost’=Social Sciences and Contemporary World, 6, 15–26 (in Russian).

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