IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4260-d1082258.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4260/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/4260/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muchen Luo & Yimin Wu, 2022. "Data-Driven Evaluation and Optimisation of Livelihood Improvement Efficiency," Sustainability, MDPI, vol. 14(13), pages 1-24, July.
    2. Phan, Hien Thu & Anwar, Sajid & Alexander, W. Robert J. & Phan, Hanh Thi My, 2019. "Competition, efficiency and stability: An empirical study of East Asian commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    3. Zihong Liu & Haitao Xiong & Ying Sun, 2023. "Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    4. Pei Fun Lee & Weng Siew Lam & Weng Hoe Lam, 2023. "Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model," Mathematics, MDPI, vol. 11(3), pages 1-15, January.
    5. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    6. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    7. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    8. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    9. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    10. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    11. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    12. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    13. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    14. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    15. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    16. Chenini Hajer & Jarboui Anis, 2018. "Analysis of the Impact of Governance on Bank Performance: Case of Commercial Tunisian Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 871-895, September.
    17. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    18. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    19. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    20. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4260-:d:1082258. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.