IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i3p718-d1102765.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/3/718/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/3/718/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Epifani, Paolo & Gancia, Gino, 2011. "Trade, markup heterogeneity and misallocations," Journal of International Economics, Elsevier, vol. 83(1), pages 1-13, January.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    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. 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).
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    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. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    25. 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.
    26. 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).
    27. 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.
    28. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qizheng He & Yong Sun & Maoan Yi, 2023. "Evolutionary Game of Pesticide Reduction Management for Sustainable Agriculture: An Analysis Based on Local Governments, Farmers, and Consumers," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    2. Eduard Alexandru DUMITRU & Luiza-Florentina ZAPUCIOIU & Maria Cristina STERIE, 2023. "Land Improvements in Agriculture: A bibliometric Analysis Unveiling Trends and Future Research Perspectives," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 24(5), pages 859-867, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    2. 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.
    3. Chloé Duvivier, 2013. "Does Urban Proximity Enhance Technical Efficiency? Evidence From Chinese Agriculture," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 923-943, December.
    4. Shiwei LIU & Pingyu ZHANG & Xiuli HE & Jing LI, 2015. "Efficiency change in North-East China agricultural sector: A DEA approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(11), pages 522-532.
    5. Wang, Sun Ling & Huang, Jikun & Wang, Xiaobing & Tuan, Francis, 2019. "Are China’s regional agricultural productivities converging: How and why?," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    6. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
    7. Ito, Junichi & Li, Xinyi, 2023. "Interplay between China’s grain self-sufficiency policy shifts and interregional, intertemporal productivity differences," Food Policy, Elsevier, vol. 117(C).
    8. Wang, Xiaoxi & Dietrich, Jan P. & Lotze-Campen, Hermann & Biewald, Anne & Stevanović, Miodrag & Bodirsky, Benjamin L. & Brümmer, Bernhard & Popp, Alexander, 2020. "Beyond land-use intensity: Assessing future global crop productivity growth under different socioeconomic pathways," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    9. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2011. "An analysis on technical efficiency in post-reform China," China Economic Review, Elsevier, vol. 22(3), pages 357-372, September.
    10. Shuhua Zhang & Bingjun Li & Yingjie Yang, 2021. "Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis," Agriculture, MDPI, vol. 11(12), pages 1-21, December.
    11. Hu, Yue & Liu, Chang & Peng, Jiangang, 2021. "Financial inclusion and agricultural total factor productivity growth in China," Economic Modelling, Elsevier, vol. 96(C), pages 68-82.
    12. 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).
    13. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    14. Lingran Yuan & Shurui Zhang & Shuo Wang & Zesen Qian & Binlei Gong, 2021. "World agricultural convergence," Journal of Productivity Analysis, Springer, vol. 55(2), pages 135-153, April.
    15. Kaiwen Ji & Qiaoyun Hou & Yi Yu & Dan Pan, 2023. "Rural E-Commerce and Agricultural Carbon Emission Reduction: A Quasi-Natural Experiment from China’s Rural E-Commerce Demonstration County Program Based on 355 Cities in Ten Years," Agriculture, MDPI, vol. 14(1), pages 1-16, December.
    16. Cao, Kang Hua & Birchenall, Javier A., 2013. "Agricultural productivity, structural change, and economic growth in post-reform China," Journal of Development Economics, Elsevier, vol. 104(C), pages 165-180.
    17. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    18. Xu, Bin & Lin, Boqiang, 2017. "Factors affecting CO2 emissions in China’s agriculture sector: Evidence from geographically weighted regression model," Energy Policy, Elsevier, vol. 104(C), pages 404-414.
    19. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:718-:d:1102765. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.