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Public Investment, Environmental Regulation, and the Sustainable Development of Agriculture in China Based on the Decomposition of Green Total Factor Productivity

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  • Siying Hu

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Shangkun Lu

    (School of Economics, Harbin University of Commerce, Harbin 150028, China)

  • Huiqiu Zhou

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

Abstract

This study aims to accurately assess the growth of agricultural total factor productivity and its driving components under the constraints of resources and environment, and provides reliable information for agricultural policy formulation and agricultural development practices. According to the input and output panel data of provincial agricultural planting in China and employing the Global Malmquist–Luenberger (GML) index method and the Bootstrap method, this paper measures China’s agricultural green total factor productivity (GTFP), technical efficiency change (EC), and technical best-practice gap change (BPC). In addition, the Tobit model is applied to analyze the impact of public investment and environmental regulation variables on China’s agricultural GTFP and its components. The results show that (1) China’s agricultural GTFP has steadily improved, and technological promotion is the main contributor; (2) agricultural GTFP and its components present significant spatial differences, which are overall manifested as agricultural priority development zone > agricultural moderate development zone > agricultural protection development zone; and (3) financing support of technical innovation and the intensity of environmental regulation have a significant positive impact on agricultural GTFP and its components. The combination of positive technical innovation support and appropriate environmental regulation helps to improve agricultural GTFP and achieve the sustainable development of China’s agriculture.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1123-:d:1027796
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    1. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    2. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    3. Bokusheva, Raushan & Kumbhakar, Subal C. & Lehmann, Bernard, 2012. "The effect of environmental regulations on Swiss farm productivity," International Journal of Production Economics, Elsevier, vol. 136(1), pages 93-101.
    4. Falavigna, Greta & Manello, Alessandro & Pavone, Sara, 2013. "Environmental efficiency, productivity and public funds: The case of the Italian agricultural industry," Agricultural Systems, Elsevier, vol. 121(C), pages 73-80.
    5. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    6. Torras, Mariano & Boyce, James K., 1998. "Income, inequality, and pollution: a reassessment of the environmental Kuznets Curve," Ecological Economics, Elsevier, vol. 25(2), pages 147-160, May.
    7. 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.
    8. 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).
    9. Magnani, Elisabetta, 2000. "The Environmental Kuznets Curve, environmental protection policy and income distribution," Ecological Economics, Elsevier, vol. 32(3), pages 431-443, March.
    10. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    11. Mogues, Tewodaj & Yu, Bingxin & Fan, Shenggen & McBride, Linden, 2012. "The impacts of public investment in and for agriculture: synthesis of the existing evidence," ESA Working Papers 288994, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    12. Hsu, Shih-Hsun & Yu, Ming-Miin & Chang, Ching-Cheng, 2003. "An Analysis Of Total Factor Productivity Growth In China'S Agricultural Sector," 2003 Annual meeting, July 27-30, Montreal, Canada 22227, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    14. Goulder, Lawrence H. & Mathai, Koshy, 2000. "Optimal CO2 Abatement in the Presence of Induced Technological Change," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 1-38, January.
    15. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    16. Jacopo Ponticelli & Bruno Caprettini & Paula Bustos, 2012. "Agricultural Productivity and Industrial Growth. Evidence from Brazil," 2012 Meeting Papers 895, Society for Economic Dynamics.
    17. Tewodaj Mogues & Shenggen Fan & Samuel Benin, 2015. "Public Investments in and for Agriculture," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 27(3), pages 337-352, July.
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    1. Lijiu Zhao & Tao Jin & Lintao Qin & Zaijun Li, 2023. "Chinese Agriculture for “Green and Grain” Productivity Growth: Evidence from Jiangsu Province," Sustainability, MDPI, vol. 15(24), pages 1-14, December.
    2. Qiao Liang & Kangwei Ma & Wenhao Liu, 2023. "The role of farmer cooperatives in promoting environmentally sustainable agricultural development in China: A review," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 741-759, September.

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