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Unravelling the bidirectional impact of Chinese agricultural subsidy policy on agricultural efficiency and farmers' income through panel data analysis

Author

Listed:
  • Yungang Tang

    (Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, Guangdong University of Finance and Economic, Guangdong Guangzhou, P. R. China)

  • Haojie Liao

    (School of Accounting and Auditing, Guangxi University of Finance and Economics, Nanning, P. R. China)

  • Ye Wu

    (Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, Guangdong University of Finance and Economic, Guangdong Guangzhou, P. R. China)

  • Gang Lei

    (School of Management, Guangdong University of Science and Technology, Guangdong Dongguan, P. R. China)

Abstract

This study examined the bidirectional impact of Chinese agricultural subsidy policies on agricultural efficiency and farmers' income. It employed panel data from 2004 to 2020 across 31 Chinese provinces, and the three-stage least squares method was used for simultaneous estimation. Different regions and farmer types were analysed separately. The findings revealed a significant bidirectional impact of the agricultural subsidy policy on agricultural efficiency and farmers' income, signifying a strong positive feedback loop. Varied types and levels of subsidy policies differently impacted regions and farmer categories, showcasing diverse outcomes and adaptive responses to subsidy policies. The ratio of total subsidy to GDP (SUBGDP) positively impacted production efficiency and per capita disposable income. This result suggests that the subsidy policy helped enhance agricultural production efficiency and increased farmers' income levels. Conversely, the ratio of various subsidies to the total subsidy manifested different directions and degrees of impact on production efficiency and per capita disposable income, suggesting areas where the subsidy policy framework can be optimised. In addition to presenting a theoretical discussion on agricultural subsidy policies, this study provides theoretical insights and policy recommendations for the formulation and implementation of an optimal agricultural subsidy policy.

Suggested Citation

  • Yungang Tang & Haojie Liao & Ye Wu & Gang Lei, 2024. "Unravelling the bidirectional impact of Chinese agricultural subsidy policy on agricultural efficiency and farmers' income through panel data analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(4), pages 165-177.
    • Handle: RePEc:caa:jnlage:v:70:y:2024:i:4:id:335-2023-agricecon
    DOI: 10.17221/335/2023-AGRICECON
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    1. Rong-Gang Cong & Mark Brady, 2012. "How to Design a Targeted Agricultural Subsidy System: Efficiency or Equity?," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-12, August.
    2. Nadja El Benni & Robert Finger & Stefan Mann, 2012. "Effects of agricultural policy reforms and farm characteristics on income risk in Swiss agriculture," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(3), pages 301-324, November.
    3. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    4. Jeremiás Máté Balogh, 2023. "The impacts of agricultural subsidies of Common Agricultural Policy on agricultural emissions: The case of the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(4), pages 140-150.
    5. Bernini, Cristina & Galli, Federica, 2024. "Economic and Environmental Efficiency, Subsidies and Spatio-Temporal Effects in Agriculture," Ecological Economics, Elsevier, vol. 218(C).
    6. D. Gale Johnson, 1948. "The Use of Econometric Models in the Study of Agricultural Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(1), pages 117-130.
    7. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    8. Nadja El Benni & Robert Finger & Stefan Mann, 2012. "Effects of agricultural policy reforms and farm characteristics on income risk in Swiss agriculture," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(3), pages 301-324, November.
    9. Štefan Bojnec & Imre Fertő, 2013. "Farm income sources, farm size and farm technical efficiency in Slovenia," Post-Communist Economies, Taylor & Francis Journals, vol. 25(3), pages 343-356, September.
    10. Jakub Staniszewski & Michał Borychowski, 2020. "The impact of the subsidies on efficiency of different sized farms. Case study of the Common Agricultural Policy of the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(8), pages 373-380.
    11. Tleubayev, Alisher & Bobojonov, Ihtiyor & Götz, Linde, 2022. "Agricultural policies and technical efficiency of wheat production in Kazakhstan and Russia: Evidence from a stochastic frontier approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(3), pages 407-421.
    12. Yinka Adetunji Adelekan & Abiodun Olusola Omotayo, 2017. "Linkage Between Rural Non-Farm Income and Agricultural Productivity in Nigeria: A Tobit-Two-Stage Least Square Regression Approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 51(3), pages 317-333, July-Sept.
    13. Tleubayev, Alisher & Bobojonov, Ihtiyor & Götz, Linde, 2022. "Agricultural Policies and Technical Efficiency of Wheat Production in Kazakhstan and Russia: Evidence from a Stochastic Frontier Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 54(3), pages 407-421, August.
    14. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    15. Asraul Hoque, 1993. "Allocative Efficiency and Input Subsidy in Asian Agriculture," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(1), pages 87-99.
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