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Spatial-Temporal Pattern of Agricultural Total Factor Productivity Change (Tfpch) in China and Its Implications for Agricultural Sustainable Development

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  • Haonan Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zheng Chen

    (Center of Engineering and Construction Service, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Jieyong Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China)

  • Haitao Wang

    (Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA)

  • Yingwen Zhang

    (Capital City Environmental Construction Research Base, Beijing City University, Beijing 100083, China)

Abstract

With increasing tension between humans and land, and arising pressure on food security in China, the improvement of total factor productivity is important to realize agricultural modernization and promote rural revitalization strategy. In this study, we applied the DEA-Malmquist index method to measure the growth of China’s agricultural total factor productivity and its decomposition indexes at the prefecture-level city scale from 2011 to 2020. We found the average annual growth rate of agricultural total factor productivity was 4.5% during this period, with technical change being the driving factor and technical efficiency change being the suppressing factor. There is an initial decrease and then an increase in the Dagum Gini coefficient. The cold and hot spot areas of agricultural Tfpch were clearly formed. During the decade, the gravity center of agricultural Tfpch has migrated from the northeast to the southwest in general. Based on the characteristics of agricultural Tfpch, China is classified into four zones. In the future, the Chinese government should balance the government and the market mechanism, improve the agricultural science and technology innovation system and technology adoption promotion system, and implement classified policies to improve agriculture production efficiency.

Suggested Citation

  • Haonan Zhang & Zheng Chen & Jieyong Wang & Haitao Wang & Yingwen Zhang, 2023. "Spatial-Temporal Pattern of Agricultural Total Factor Productivity Change (Tfpch) in China and Its Implications for Agricultural Sustainable Development," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:718-:d:1102765
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    References listed on IDEAS

    as
    1. Jieyong Wang & Xiaoyang Wang & Guoming Du & Haonan Zhang, 2022. "Temporal and Spatial Changes of Rural Settlements and Their Influencing Factors in Northeast China from 2000 to 2020," Land, MDPI, vol. 11(10), pages 1-18, September.
    2. Yansui Liu & Yuanzhi Guo & Yang Zhou, 2018. "Poverty alleviation in rural China: policy changes, future challenges and policy implications," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 241-259, May.
    3. Vu, Khuong M & Asongu, Simplice, 2020. "Backwardness advantage and economic growth in the information age: A cross-country empirical study," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    4. Epifani, Paolo & Gancia, Gino, 2011. "Trade, markup heterogeneity and misallocations," Journal of International Economics, Elsevier, vol. 83(1), pages 1-13, January.
    5. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    6. Atici, Kazim Baris & Podinovski, Victor V., 2015. "Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture," Omega, Elsevier, vol. 54(C), pages 72-83.
    7. Hu, Baiding & McAleer, Michael, 2005. "Estimation of Chinese agricultural production efficiencies with panel data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 474-483.
    8. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    9. Piotr Prus & Paweł Dziekański & Małgorzata Bogusz & Małgorzata Szczepanek, 2021. "Spatial Differentiation of Agricultural Potential and the Level of Development of Voivodeships in Poland in 2008–2018," Agriculture, MDPI, vol. 11(3), pages 1-27, March.
    10. Olga Murova & Benaissa Chidmi, 2013. "Technical efficiency of US dairy farms and federal government programs," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 839-847, March.
    11. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    12. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    13. Derek Headey & Mohammad Alauddin & D.S. Prasada Rao, 2010. "Explaining agricultural productivity growth: an international perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 1-14, January.
    14. Monchuk, Daniel C. & Chen, Zhuo & Bonaparte, Yosef, 2010. "Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping," China Economic Review, Elsevier, vol. 21(2), pages 346-354, June.
    15. Songqing Jin & Jikun Huang & Ruifa Hu & Scott Rozelle, 2002. "The Creation and Spread of Technology and Total Factor Productivity in China's Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 916-930.
    16. Jean‐Paul Chavas & Giorgia Rivieccio & Salvatore Di Falco & Giovanni De Luca & Fabian Capitanio, 2022. "Agricultural diversification, productivity, and food security across time and space," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 41-58, November.
    17. Fan, Shenggen & Zhang, Xiaobo, 2002. "Production and Productivity Growth in Chinese Agriculture: New National and Regional Measures," Economic Development and Cultural Change, University of Chicago Press, vol. 50(4), pages 819-838, July.
    18. Zhang, Yumei & Diao, Xinshen, 2020. "The changing role of agriculture with economic structural change – The case of China," China Economic Review, Elsevier, vol. 62(C).
    19. Leah M. Mungai & Joseph P. Messina & Sieglinde Snapp, 2020. "Spatial Pattern of Agricultural Productivity Trends in Malawi," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    20. Limon Deb & Yoonsuk Lee & Sang Hyeon Lee, 2020. "Market Integration and Price Transmission in the Vertical Supply Chain of Rice: An Evidence from Bangladesh," Agriculture, MDPI, vol. 10(7), pages 1-21, July.
    21. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2008. "Total factor productivity growth in China's agricultural sector," China Economic Review, Elsevier, vol. 19(4), pages 580-593, December.
    22. Yansui Liu & Yuanzhi Guo & Yang Zhou, 2018. "Poverty alleviation in rural China: policy changes, future challenges and policy implications," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 241-259, May.
    23. Chen, Zhuo & Song, Shunfeng, 2008. "Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis," China Economic Review, Elsevier, vol. 19(2), pages 287-296, June.
    24. Shen, Zhiyang & Baležentis, Tomas & Ferrier, Gary D., 2019. "Agricultural productivity evolution in China: A generalized decomposition of the Luenberger-Hicks-Moorsteen productivity indicator," China Economic Review, Elsevier, vol. 57(C).
    25. Khan Claudette Mengui & Saera Oh & Sang Hyeon Lee, 2019. "The Technical Efficiency of Smallholder Irish Potato Producers in Santa Subdivision, Cameroon," Agriculture, MDPI, vol. 9(12), pages 1-13, December.
    26. Judith Janker & Stefan Mann & Stephan Rist, 2018. "What is Sustainable Agriculture? Critical Analysis of the International Political Discourse," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    27. Qianqian Chen & Chao Zhang & Ruifa Hu & Shengyang Sun, 2022. "Can Information from the Internet Improve Grain Technical Efficiency? New Evidence from Rice Production in China," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    28. Yang, Guiyu & Li, Shuoyang & Wang, Hao & Wang, Lin, 2022. "Study on agricultural cultivation development layout based on the matching characteristic of water and land resources in North China Plain," Agricultural Water Management, Elsevier, vol. 259(C).
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