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Analysis of Resource Misallocation and Total Factor Productivity Losses in Green Agriculture: A Case Study of the North China Region

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  • Linfang Chen

    (School of Environmental Studies, China University of Geosciences, Wuhan 430078, China)

  • Huanyu Sun

    (Yangzhuang Senior High School, Zhumadian 463900, China)

  • Shenghui Zhou

    (The College of Geography and Environmental Science, Henan University, Kaifeng 475000, China)

  • Shixing Jiao

    (School of Resources & Environment and Tourism, Anyang Normal University, Anyang 455002, China)

  • Xiao Zhao

    (The College of Geography and Environmental Science, Henan University, Kaifeng 475000, China)

  • Jianmei Cheng

    (School of Environmental Studies, China University of Geosciences, Wuhan 430078, China
    Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, China University of Geosciences, Wuhan 430078, China)

Abstract

The inefficient allocation of resources in agricultural production not only affects the quality of agricultural development and the efficiency of resource utilization but also represents a pivotal issue that constrains the sustainable progress of agriculture. Considering the urgent societal need for the optimization and advancement of industries, investigating the issue of resource misallocation within agricultural production and its specific losses on AGTFP is profoundly important in advancing the pursuit of high-quality and sustainable agricultural development. This study employs the Cobb–Douglas function and the theory of price distortion to establish a model for quantifying losses in Agricultural Green Total Factor Productivity (AGTFP). Drawing on provincial panel data from North China spanning the years 2006 to 2022, we analyze the characteristics of resource allocation and the corresponding losses in AGTFP. The findings suggest that AGTFP in North China has been gradually rising, accompanied by notable regional disparities in both the level of AGTFP and its growth rate. Nevertheless, due to the varying effects of distorted agricultural input factors, there exists different resource misallocation across North China. Despite some improvement in resource misallocation, this improvement has not been significant. Consequently, there is a loss of AGTFP in the North China region. If resource misallocation is effectively addressed, AGTFP losses could be reduced by at least 29%. It is anticipated that over the course of the next decade, AGTFP will rise and resource misallocation and AGTFP losses will diminish slightly, and it is crucial to step up efforts to enhance resource allocation. By ensuring adequate agricultural funding, enhancing agricultural efficiency, and optimizing energy inputs, it is possible to mitigate resource misallocation, thereby effectively diminishing AGTFP losses and fostering the sustainable advancement of agriculture.

Suggested Citation

  • Linfang Chen & Huanyu Sun & Shenghui Zhou & Shixing Jiao & Xiao Zhao & Jianmei Cheng, 2024. "Analysis of Resource Misallocation and Total Factor Productivity Losses in Green Agriculture: A Case Study of the North China Region," Sustainability, MDPI, vol. 17(1), pages 1-25, December.
  • Handle: RePEc:gam:jsusta:v:17:y:2024:i:1:p:199-:d:1556972
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    References listed on IDEAS

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    1. Yang Shen & Xiaoyang Guo & Xiuwu Zhang, 2023. "Digital Financial Inclusion, Land Transfer, and Agricultural Green Total Factor Productivity," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    2. Zhang, Xiaoheng & Hu, Lingxiao & Yu, Xiaohua, 2023. "Farmland Leasing, misallocation Reduction, and agricultural total factor Productivity: Insights from rice production in China," Food Policy, Elsevier, vol. 119(C).
    3. Baylis, Kathy & Peplow, Stephen & Rausser, Gordon & Simon, Leo, 2008. "Agri-environmental policies in the EU and United States: A comparison," Ecological Economics, Elsevier, vol. 65(4), pages 753-764, May.
    4. Siying Hu & Shangkun Lu & Huiqiu Zhou, 2023. "Public Investment, Environmental Regulation, and the Sustainable Development of Agriculture in China Based on the Decomposition of Green Total Factor Productivity," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    5. Tasso Adamopoulos & Loren Brandt & Jessica Leight & Diego Restuccia, 2022. "Misallocation, Selection, and Productivity: A Quantitative Analysis With Panel Data From China," Econometrica, Econometric Society, vol. 90(3), pages 1261-1282, May.
    6. Xingmei Jia, 2023. "Digital Economy, Factor Allocation, and Sustainable Agricultural Development: The Perspective of Labor and Capital Misallocation," Sustainability, MDPI, vol. 15(5), pages 1-19, March.
    7. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    8. Deng, Haiyan & Zheng, Wangyi & Shen, Zhiyang & Štreimikienė, Dalia, 2023. "Does fiscal expenditure promote green agricultural productivity gains: An investigation on corn production," Applied Energy, Elsevier, vol. 334(C).
    9. Huang, Junbing & Cai, Xiaochen & Huang, Shuo & Tian, Sen & Lei, Hongyan, 2019. "Technological factors and total factor productivity in China: Evidence based on a panel threshold model," China Economic Review, Elsevier, vol. 54(C), pages 271-285.
    10. Keijiro Otsuka & Yoko Kijima, 2010. "Technology Policies for a Green Revolution and Agricultural Transformation in Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 19(suppl_2), pages 60-76.
    11. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    12. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    13. Zhang, Qichen & Dong, Weihong & Wen, Chuanlei & Li, Tong, 2020. "Study on factors affecting corn yield based on the Cobb-Douglas production function," Agricultural Water Management, Elsevier, vol. 228(C).
    14. Mingyong Hong & Mengjie Tian & Ji Wang, 2022. "Digital Inclusive Finance, Agricultural Industrial Structure Optimization and Agricultural Green Total Factor Productivity," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    15. Feng Ye & Zhongna Yang & Mark Yu & Susan Watson & Ashley Lovell, 2023. "Can Market-Oriented Reform of Agricultural Subsidies Promote the Growth of Agricultural Green Total Factor Productivity? Empirical Evidence from Maize in China," Agriculture, MDPI, vol. 13(2), pages 1-20, January.
    16. Dimitrije Ruzic & Sui-Jade Ho, 2023. "Returns to Scale, Productivity, Measurement, and Trends in U.S. Manufacturing Misallocation," The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1287-1303, September.
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