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Evaluation of Sustainable Development Policy of Sichuan Citrus Industry in China Based on DEA–Malmquist Index and DID Model

Author

Listed:
  • Yu He

    (School of Management, Sichuan Agricultural University, Ya’an 625014, China)

  • Wenkuan Chen

    (School of Management, Sichuan Agricultural University, Ya’an 625014, China)

Abstract

The citrus industry is an important fruit industry, with the widest cultivation area and the most crucial economic status in southern China. Evaluating the sustainable development of citrus industry is the basis for accurately grasping the food safety situation and scientifically formulating industrial development policies. This research aims to evaluate the sustainable development policies of citrus industry in 20 citrus-growing cities and states in Sichuan province in China from two dimensions of efficiency and effect. To this end, this study develops a DEA–Malmquist index and DID model using city and state panel data from 2009–2020. The results have the following implications: (1) The low technical efficiency and technological progress index together cause the general inefficiency of citrus production in Sichuan cities and states, and the improper scale of inputs is the main reason for the low technical efficiency. (2) The implementation of sustainable development policies has increased citrus total factor productivity and widened the gap between cities and states in Sichuan. (3) Excessive production factors and financial inputs have hindered the sustainable development of the Sichuan citrus industry.

Suggested Citation

  • Yu He & Wenkuan Chen, 2023. "Evaluation of Sustainable Development Policy of Sichuan Citrus Industry in China Based on DEA–Malmquist Index and DID Model," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4260-:d:1082258
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    References listed on IDEAS

    as
    1. Lazar Gitelman & Mikhail Kozhevnikov & Yana Visotskaya, 2023. "Diversification as a Method of Ensuring the Sustainability of Energy Supply within the Energy Transition," Resources, MDPI, vol. 12(2), pages 1-19, February.
    2. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    3. Jianguo Zhao & Lei Zhang, 2023. "Fiscal Expenditure Efficiency Measurement and Its Convergence Analysis on Aging Undertakings in China: Based on a Global Super-Efficiency Slacks-Based Measure Model," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    4. Guangming Yang & Guofang Gong & Qingqing Gui, 2022. "Exploring the Spatial Network Structure of Agricultural Water Use Efficiency in China: A Social Network Perspective," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    5. Benshuo Wang & Li Dai & Bojing Liao, 2023. "System Architecture Design of a Multimedia Platform to Increase Awareness of Cultural Heritage: A Case Study of Sustainable Cultural Heritage," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    6. Weihua Gan & Wenpei Yao & Shuying Huang, 2022. "Evaluation of Green Logistics Efficiency in Jiangxi Province Based on Three-Stage DEA from the Perspective of High-Quality Development," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Clement Tengey & Nnamdi Ikechi Nwulu & Omoseni Adepoju & Omowunmi Mary Longe, 2022. "Analysis of the Productivity Dynamics of Electricity Distribution Regions in Ghana," Energies, MDPI, vol. 15(24), pages 1-10, December.
    9. Risheng Qiao & Weike Chen & Yongsheng Qiao, 2022. "Sustainable Development Path of Resource-Based Cities—Taking Datong as an Example," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    10. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    11. Changfei Nie & Wen Luo & Yuan Feng & Zhi Chen, 2023. "The Impact of Economic Growth Target Constraints on Environmental Pollution: Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    12. Mehrab Nodehi & Abbas Assari Arani & Vahid Mohamad Taghvaee, 2022. "Sustainability spillover effects and partnership between East Asia & Pacific versus North America: interactions of social, environment and economy," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 311-339, December.
    13. Yuying Liu & Ruiling Shi & Yiting Peng & Wei Wang & Xinhong Fu, 2022. "Impacts of Technology Training Provided by Agricultural Cooperatives on Farmers’ Adoption of Biopesticides in China," Agriculture, MDPI, vol. 12(3), pages 1-17, February.
    14. Shilin Li & Zhiyuan Zhu & Zhenzhong Dai & Jiajia Duan & Danmeng Wang & Yongzhong Feng, 2022. "Temporal and Spatial Differentiation and Driving Factors of China’s Agricultural Eco-Efficiency Considering Agricultural Carbon Sinks," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    15. Zahra Nasrollahi & Mohadeseh-sadat Hashemi & Saeed Bameri & Vahid Mohamad Taghvaee, 2020. "Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1105-1122, February.
    16. Hepei Zhang & Zhangbao Zhong, 2022. "How Does Environmental Regulation Affect the Green Growth of China’s Citrus Industry? The Mediating Role of Technological Innovation," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    17. Ridwan Lanre Ibrahim & Usama Al-Mulali & Kazeem Bello Ajide & Abubakar Mohammed & Mamdouh Abdulaziz Saleh Al-Faryan, 2023. "The Implications of Food Security on Sustainability: Do Trade Facilitation, Population Growth, and Institutional Quality Make or Mar the Target for SSA?," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    18. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    19. Yuying Liu & Ziqi Liu & Jingzheng Liu & Ling Qiu & Yulin Wang & Xinhong Fu, 2022. "Research on the Impact of Members’ Social Capital within Agricultural Cooperatives on Their Adoption of IPM in China," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    20. Hongjian Yu & Yao Zhao & Guitao Qiao & Mahmood Ahmad, 2023. "Can Green Financial Reform Policies Promote Enterprise Development? Empirical Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-21, February.
    21. Andrews, Antony, 2022. "An application of PCA-DEA with the double-bootstrap approach to estimate the technical efficiency of New Zealand District Health Boards," Health Economics, Policy and Law, Cambridge University Press, vol. 17(2), pages 175-199, April.
    22. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2022. "Assessing rice production efficiency for food security policy planning in Malaysia: A non-parametric bootstrap data envelopment analysis approach," Food Policy, Elsevier, vol. 107(C).
    23. Alinezhad, Alireza & Nasiri Sadeghloo, Mohammad Javad, 2016. "Application of Malmquist Index in Two-Stage DEA for Measurement of Productivity Growth," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(1), pages 31-51, January.
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