espEconomy: strategy and practiceEconomy: strategy and practice1997-99672663-550XИнститут экономики10.51176/1997-9967-2024-1-57-69esp-1235Research ArticleЭКОНОМИЧЕСКИЙ РОСТ И УСТОЙЧИВОЕ РАЗВИТИЕECONOMIC GROWTH AND SUSTAINABLE DEVELOPMENTАгропромышленный комплекс КНР и позиции государства на мировом рынкеThe Agro-Industrial Complex of the China and the Position of the State in the World Markethttps://orcid.org/0000-0002-1867-7330КузьминаВ. М.KuzminaV. M.

к.и.н., доцент, Юго-западный государственный университет

ул. Челюскинцев 19, 19305004, Курск

Violeta M. Kuzmina – PhD, Associate Professor

19 Chelyuskintsev str., 19305004, Kursk

Kuzmina-violetta@yandex.ruСапрыкаВ. А.SaprykaV. A.

д.с.н., заведующий кафедрой социальных технологий и государственной службы

ул. Победы 85, 308015, Белгород

Viktor A. Sapryka – Doc. Sc. (Soc.), Head of the Department of Social Technologies and Public Administration

85 Pobedy str., 308015, Belgorod

sapryka@bsu.edu.ruЮго-западный государственный университетРоссияSouthwestern State UniversityRussian FederationНИУ «БелГУ»РоссияNational Research University “BelSU”Russian Federation2024050420241915769Copyright © Кузьмина В.М., Сапрыка В.А., 20242024Кузьмина В.М., Сапрыка В.А.Kuzmina V.M., Sapryka V.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://esp.ieconom.kz/jour/article/view/1235

КНР интегрирована в различные экономические сообщества, что позволяет ей играть значимую роль на мировом рынке по производству не только промышленных продуктов, но и сельскохозяйственных. Целью данной статьи является анализ экспортно-импортной политики и динамики взаимной торговли сельскохозяйственной продукцией между ЕАЭС и Китаем, а также структуры капитализации агропромышленных компаний КНР. В статье рассмотрены правовые основы экспортно-импортной сельскохозяйственной политики КНР, проанализирована динамика экспорта-импорта сельскохозяйственной продукции между ЕАЭС и Китаем, представлено распределение китайских агропромышленных компаний по типу бизнеса и распределение капиталов агропромышленных компаний Китая. В исследовании применялись методы анализа и синтеза изучаемого материала на основе статистических данных ОЭСР, Всемирного Банка, МВФ, ФАО ООН, FAPRI, а также специализированных по сельскому хозяйству министерств КНР и Российской Федерации с 2015 по 2022 годы. Согласно прогнозу на 2023 года Индия, Китай, Африке и в ряде среднеазиатских стран будет наблюдаться снижение мировых цен на сельхозпродукцию. Сделан основной вывод о том, что Китай будет оставаться самодостаточным по основным видам сельскохозяйственных культур, несмотря на то, что рост производства замедлится в ближайшие годы.

The PRC is integrated into various economic communities, which allows it to play a significant role in the world market in the production of not only industrial products, but also agricultural ones. The purpose of this article is to analyze the export-import policy and dynamics of mutual trade in agricultural products between the EAEU and China, as well as the capitalization structure of Chinese agro-industrial companies. The article examines the legal basis of the export-import agricultural policy of the PRC, analyzes the dynamics of export-import of agricultural products between the EAEU and China, presents the distribution of Chinese agro-industrial companies by type of business and the distribution of capital of Chinese agro-industrial companies. The study used methods of analysis and synthesis of the studied material based on statistical data from the OECD, the World Bank, the IMF, the UN FAO, FAPRI, as well as the ministries specialized in agriculture of the PRC and the Russian Federation from 2015 to 2022. According to the forecast for 2023, India, China, Africa and a number of Central Asian countries will experience a decrease in world prices for agricultural products. The main conclusion is that China will remain self-sufficient in major crops, although production growth will slow in the coming years

сельское хозяйствоэкспортимпортКНРЕАЭСРоссияэкономикаэкономическое сообществоAgricultureExportImportChinaEAEURussiaEconomyEconomic CommunityReferencesAletdinova, A. A. (2016). Innovative development of the agro-industrial complex on the basis of disruptive technologies. St. Petersburg State Polytechnical University Journal, 5(251), 47-56. https://doi.org/10.5862/JE.251.5Aletdinova, A. A. (2016). Innovative development of the agro-industrial complex on the basis of disruptive technologies. St. Petersburg State Polytechnical University Journal, 5(251), 47-56. https://doi.org/10.5862/JE.251.5Ding, Y., Xu, R., Wang, R., Zhang, S., Ding, H., & Liu, W. (2023). Can grain production be synergistic with socioeconomic development? Empirical evidence from the agro-pastoral ecotone in North China. Ecological Indicators, 156, 111191. https://doi.org/10.1016/j.ecolind.2023.111191Ding, Y., Xu, R., Wang, R., Zhang, S., Ding, H., & Liu, W. (2023). Can grain production be synergistic with socioeconomic development? Empirical evidence from the agro-pastoral ecotone in North China. Ecological Indicators, 156, 111191. https://doi.org/10.1016/j.ecolind.2023.111191Dauda, L., Long, X., Mensah, C.N., & Ampon-Wireko, S. (2023). The impact of agriculture production and renewable energy consumption on CO_2 emissions in developing countries: the role of governance. Environmental Science and Pollution Research, 30, 113804-113819. https://doi.org/10.1007/s11356-023-30266-5Dauda, L., Long, X., Mensah, C.N., & Ampon-Wireko, S. (2023). The impact of agriculture production and renewable energy consumption on CO_2 emissions in developing countries: the role of governance. Environmental Science and Pollution Research, 30, 113804-113819. https://doi.org/10.1007/s11356-023-30266-5EEC (2020). Analysis of the access of agricultural products, raw materials and foodstuffs of the EEC member states to the market of the people’s Republic of China. [updated October 30, 2023; cited November 20, 2023]. Available at: https://eec.eaeunion.org/upload/medialibrary/370/Kitai_.pdfEEC (2020). Analysis of the access of agricultural products, raw materials and foodstuffs of the EEC member states to the market of the people’s Republic of China. [updated October 30, 2023; cited November 20, 2023]. Available at: https://eec.eaeunion.org/upload/medialibrary/370/Kitai_.pdfErokhin, V. L. (2019). China’s direct foreign investments: effects on food security. Forests. Marketing and Logistics, 3(23), 34-50. (In Russ.)Erokhin, V. L. (2019). China’s direct foreign investments: effects on food security. Forests. Marketing and Logistics, 3(23), 34-50. (In Russ.)Feng, P., Wang, B., Liu, D. L., Waters, C.M., & Yu, Q. (2019). Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia. Agricultural and Forest Meteorology, 275, 100-113. https://doi.org/10.1016/J.AGRFORMET.2019.05.018Feng, P., Wang, B., Liu, D. L., Waters, C.M., & Yu, Q. (2019). Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia. Agricultural and Forest Meteorology, 275, 100-113. https://doi.org/10.1016/J.AGRFORMET.2019.05.018Gong, B. (2018). Agricultural reforms and production in China: Changes in provincial production function and productivity in 1978–2015. Journal of Development Economics, 132(C), 18-31. https://doi.org/10.1016/J.JDEVECO.2017.12.005Gong, B. (2018). Agricultural reforms and production in China: Changes in provincial production function and productivity in 1978–2015. Journal of Development Economics, 132(C), 18-31. https://doi.org/10.1016/J.JDEVECO.2017.12.005International Trade Centre. (2023). [updated October 30, 2023; cited November 20, 2023]. Available: https://intracen.org/businessInternational Trade Centre. (2023). [updated October 30, 2023; cited November 20, 2023]. Available: https://intracen.org/businessHou, X. (2021). Analysis of the correlation between agricultural innovation ecosystem and economic growth. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71, 1036 - 1049. https://doi.org/10.1080/09064710.2021.1956580Hou, X. (2021). Analysis of the correlation between agricultural innovation ecosystem and economic growth. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71, 1036 - 1049. https://doi.org/10.1080/09064710.2021.1956580Kritskaya, A. A. (2018). Assessment of the effectiveness of state support for agriculture: the OECD methodology and suggestions for its improvement. Agrarian Russia, 12. https://doi.org/10.30906/1999-5636-2018-12-40-48Kritskaya, A. A. (2018). Assessment of the effectiveness of state support for agriculture: the OECD methodology and suggestions for its improvement. Agrarian Russia, 12. https://doi.org/10.30906/1999-5636-2018-12-40-48Lee, A. (2019). State and Private Property in the Military-industrial Complex of China, Bulletin of the Altai Academy of Economics and Law, 6(1), 11-16. (in Russ.)Lee, A. (2019). State and Private Property in the Military-industrial Complex of China, Bulletin of the Altai Academy of Economics and Law, 6(1), 11-16. (in Russ.)Li, L., & Krasova, E.V. (2017). Innovative development as the factor of competitiveness in agro-industrial complexes of China and Russia. Russian Journal of Agricultural and Socio-Economic Sciences, 71(11), 168-175.Li, L., & Krasova, E.V. (2017). Innovative development as the factor of competitiveness in agro-industrial complexes of China and Russia. Russian Journal of Agricultural and Socio-Economic Sciences, 71(11), 168-175.Mamychev, A.Y., & Sklyarova, S. (2020). Digitalization and robotization of agriculture in modern China: the main priorities and directions of the state’s innovation policy. Advances in Law Studies, 8(5),139-155. https://doi.org/10.29039/2409-5087-2020-8-5-139-155Mamychev, A.Y., & Sklyarova, S. (2020). Digitalization and robotization of agriculture in modern China: the main priorities and directions of the state’s innovation policy. Advances in Law Studies, 8(5),139-155. https://doi.org/10.29039/2409-5087-2020-8-5-139-155National Bureau of Statistics of China. (2023). [updated October 30, 2023; cited November 20, 2023]. Available at: http://www.stats.gov.cn/englishNational Bureau of Statistics of China. (2023). [updated October 30, 2023; cited November 20, 2023]. Available at: http://www.stats.gov.cn/englishPrivalova S. G. (2009). Theoretical aspects of state support for agriculture. Agrarian Bulletin of the Urals, 12(66), 20-25.Privalova S. G. (2009). Theoretical aspects of state support for agriculture. Agrarian Bulletin of the Urals, 12(66), 20-25.Rajkomar, A., Dean, J., & Kohane, I. S. (2019). Machine Learning in Medicine. The New England Journal of Medicine, 380(14), 1347–1358. https://doi.org/10.1056/NEJMra1814259Rajkomar, A., Dean, J., & Kohane, I. S. (2019). Machine Learning in Medicine. The New England Journal of Medicine, 380(14), 1347–1358. https://doi.org/10.1056/NEJMra1814259Rodkhina, D. S. (2022). The Chinese economy in the world economy system. Bulletin of Youth Science, 3(30). https://elibrary.ru/item.asp?id=46367601&ysclid=ltsa1gmido324379676 (in Russ.)Rodkhina, D. S. (2022). The Chinese economy in the world economy system. Bulletin of Youth Science, 3(30). https://elibrary.ru/item.asp?id=46367601&ysclid=ltsa1gmido324379676 (in Russ.)Sgroi, F. (2022). Evaluating of the sustainability of complex rural ecosystems during the transition from agricultural villages to tourist destinations and modern agri-food systems. Journal of Agriculture and Food Research, 9, 100330. https://doi.org/10.1016/j.jafr.2022.100330Sgroi, F. (2022). Evaluating of the sustainability of complex rural ecosystems during the transition from agricultural villages to tourist destinations and modern agri-food systems. Journal of Agriculture and Food Research, 9, 100330. https://doi.org/10.1016/j.jafr.2022.100330Seijger, C., & Hellegers, P. (2023). How do societies reform their agricultural water management towards new priorities for water, agriculture, and the environment? Agricultural Water Management, 277, 108104. https://doi.org/10.1016/j.agwat.2022.108104Seijger, C., & Hellegers, P. (2023). How do societies reform their agricultural water management towards new priorities for water, agriculture, and the environment? Agricultural Water Management, 277, 108104. https://doi.org/10.1016/j.agwat.2022.108104Wagle, S. (2022). Interrelationship between the Use of New Agricultural Inputs and Socio-economic Factors. Journal of Research and Development, 5(1), 53-64. https://doi.org/10.3126/jrdn.v5i1.50097Wagle, S. (2022). Interrelationship between the Use of New Agricultural Inputs and Socio-economic Factors. Journal of Research and Development, 5(1), 53-64. https://doi.org/10.3126/jrdn.v5i1.50097Xin, Y., Kong, L., Liu, Z., Chen, Y., Li, Y., Zhu, H., Gao, M., Hou, H., & Wang, C. (2018). Machine Learning and Deep Learning Methods for Cybersecurity. IEEE Access, 6, 35365-35381. https://doi.org/10.1109/ACCESS.2018.2836950Xin, Y., Kong, L., Liu, Z., Chen, Y., Li, Y., Zhu, H., Gao, M., Hou, H., & Wang, C. (2018). Machine Learning and Deep Learning Methods for Cybersecurity. IEEE Access, 6, 35365-35381. https://doi.org/10.1109/ACCESS.2018.2836950Zhang, D., Chen, C., & Sheng, Y. (2015). Public investment in agricultural R&D and extension. China Agricultural Economic Review, 7(1), 86-101. https://doi.org/10.1108/CAER-05-2014-0052Zhang, D., Chen, C., & Sheng, Y. (2015). Public investment in agricultural R&D and extension. China Agricultural Economic Review, 7(1), 86-101. https://doi.org/10.1108/CAER-05-2014-0052

The authors declare that there are no conflicts of interest present.