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The Impact of Target Price Policy on Cotton Cultivation: Analysis of County-Level Panel Data from China

Author

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  • Wei Wang

    (Department of Agriculture and Forestry Economics and Management, College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China)

  • Chongmei Zhang

    (Department of Agriculture and Forestry Economics and Management, College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China)

  • Jiahao Song

    (Department of Rural and Regional Development, College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China)

  • Dingde Xu

    (Sichuan Center for Rural Development Research, College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China)

Abstract

China is an important cotton production area in the world. Since 2014, China has implemented a cotton target price subsidy policy in Xinjiang for 7 years. As the policy implementation time has lengthened, some deep-seated problems have started to emerge. Therefore, it is necessary to summarize and evaluate to clarify the future policy direction of the cotton target price subsidy policy. Based on county-level panel data of Xinjiang and Shandong from 2011 to 2018, this paper used the Propensity Score Matching—Difference in Difference method to analyze the impact of the implementation of cotton target price subsidy policy on cotton planting in Xinjiang. The results showed that: (1) after the implementation of the cotton target price subsidy policy, cotton production was stimulated by the transition, cotton producers’ enthusiasm for cotton production was higher, cotton production increased rapidly, and the yield per unit area decreased, indicating that there was a ’bubble’ in cotton cultivation. (2) The target price subsidy policy mainly achieves the expansion of the cotton planting scale by reducing the area of competitive crops. In view of the above research conclusions, this paper further explains its policy implications. It is proposed that the future cotton target price level should be formulated to fully consider the comparative benefits between different crops, to restrict the subjects that enjoy subsidies and the upper limit of subsidies, and strictly implement the concept of green development; it is necessary to guide cotton production out of ecologically vulnerable areas.

Suggested Citation

  • Wei Wang & Chongmei Zhang & Jiahao Song & Dingde Xu, 2021. "The Impact of Target Price Policy on Cotton Cultivation: Analysis of County-Level Panel Data from China," Agriculture, MDPI, vol. 11(10), pages 1-18, October.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:10:p:988-:d:653077
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    as
    1. K.S. Aditya & S.P. Subash & K.V. Praveen & M.L. Nithyashree & N. Bhuvana & Akriti Sharma, 2017. "Awareness about Minimum Support Price and Its Impact on Diversification Decision of Farmers in India," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(3), pages 514-526, September.
    2. Kazukauskas, Andrius & Newman, Carol F., 2010. "CAP reform and its impact on structural change and productivity growth: A cross country analysis," 114th Seminar, April 15-16, 2010, Berlin, Germany 61103, European Association of Agricultural Economists.
    3. Konstantinos Giannakas & Richard Schoney & Vangelis Tzouvelekas, 2001. "Technical Efficiency, Technological Change and Output Growth of Wheat Farms in Saskatchewan," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(2), pages 135-152, July.
    4. Collins, Keith J. & Bulut, Harun, 2011. "Crop Insurance And The Future Farm Safety Net," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 26(4), pages 1-7.
    5. William Lin & Robert Dismukes, 2007. "Supply Response under Risk: Implications for Counter-Cyclical Payments' Production Impact," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(1), pages 64-86.
    6. Laure Latruffe & Hervé Guyomard & Chantal Le Mouël, 2009. "The role of public subsidies on farms’ managerial efficiency: An application of a five-stage approach to France," Working Papers SMART 09-05, INRAE UMR SMART.
    7. Daniel A. Sumner & Julian M. Alston & Joseph W. Glauber, 2010. "Evolution of the Economics of Agricultural Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 403-423.
    8. Marian Rizov & Jan Pokrivcak & Pavel Ciaian, 2013. "CAP Subsidies and Productivity of the EU Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 537-557, September.
    9. Rezitis, Anthony N. & Tsiboukas, Kostas & Tsoukalas, Stauros, 2003. "Investigation of Factors Influencing the Technical Efficiency of Agricultural Producers Participating in Farm Credit Programs: The Case of Greece," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(3), pages 529-541, December.
    10. Candel, Jeroen J.L. & Breeman, Gerard E. & Stiller, Sabina J. & Termeer, Catrien J.A.M., 2014. "Disentangling the consensus frame of food security: The case of the EU Common Agricultural Policy reform debate," Food Policy, Elsevier, vol. 44(C), pages 47-58.
    11. Ginn, William & Pourroy, Marc, 2019. "Optimal monetary policy in the presence of food price subsidies," Economic Modelling, Elsevier, vol. 81(C), pages 551-575.
    12. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    13. Nivievskyi, Oleg, 2009. "Price Support, Efficiency and Technology Change of Ukrainian dairy farms: Spatial dependence in the components of productivity growth," 2009 Conference, August 16-22, 2009, Beijing, China 51403, International Association of Agricultural Economists.
    14. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
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    1. Lantong Shao & Jiaqin Gong & Wenqing Fan & Zongyi Zhang & Meng Zhang, 2022. "Cost Comparison between Digital Management and Traditional Management of Cotton Fields—Evidence from Cotton Fields in Xinjiang, China," Agriculture, MDPI, vol. 12(8), pages 1-18, July.
    2. Xiaoxiao Li & Bo Wang & Lingyan Sun & Honghui Zhu & Ning Lv & Jiaqi Zhang, 2023. "The Transmission Effect Test of China’s Rotation Mechanism on the Cotton Reserve Market," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    3. Zhengjie Zhang & Jiahao Song & Caixia Yan & Dingde Xu & Wei Wang, 2022. "Rural Household Differentiation and Poverty Vulnerability: An Empirical Analysis Based on the Field Survey in Hubei, China," IJERPH, MDPI, vol. 19(8), pages 1-15, April.

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