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Spatial Disequilibrium and Dynamic Evolution of Eco-Efficiency in China’s Tea Industry

Author

Listed:
  • Wenqiang Jiang

    (College of Rural Revitalization, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Baocai Su

    (College of Rural Revitalization, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Shuisheng Fan

    (College of Rural Revitalization, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Eco-efficiency is a significant target for evaluating the agricultural ecosystem and measuring sustainable agricultural development through quantitative analysis. It is also an essential part of constructing the ecological tea garden, which offers a directional function in realizing the green development of the tea industry. After measuring the eco-efficiency of China’s tea industry using the super-efficiency SBM model, this paper analyzes the spatial disequilibrium and dynamic evolution trend of the eco-efficiency in China’s tea industry through the method of Dagum Gini Coefficient and Kernel Density Estimation. The results show that the level of eco-efficiency in China’s tea industry was improved overall, and the spatial disequilibrium was significantly reduced. The differences within the tea region decreased as follows: tea regions in Southwest China, South China, south of the Yangtze River, and north of the Yangtze River; the overall difference in the eco-efficiency in the tea industry mainly comes from the contribution of the interregional difference in tea regions, and the second contribution comes from the intraregional difference in tea regions and the difference in super-variable density. The eco-efficiency of the tea industry has been improved both nationally and within the top four tea regions; the disequilibrium between areas and within the tea region has been largely alleviated, but there is still room to optimize the input–output structure and promote the eco-efficiency.

Suggested Citation

  • Wenqiang Jiang & Baocai Su & Shuisheng Fan, 2023. "Spatial Disequilibrium and Dynamic Evolution of Eco-Efficiency in China’s Tea Industry," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9597-:d:1171406
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    References listed on IDEAS

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    1. Sinkin, Charlene & Wright, Charlotte J. & Burnett, Royce D., 2008. "Eco-efficiency and firm value," Journal of Accounting and Public Policy, Elsevier, vol. 27(2), pages 167-176.
    2. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
    3. Bing Xia & Suocheng Dong & Yu Li & Zehong Li & Dongqi Sun & Wenbiao Zhang & Wenlong Li, 2021. "Evolution Characters and Influencing Factors of Regional Eco-Efficiency in a Developing Country: Evidence from Mongolia," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
    4. 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.
    5. Gjalt Huppes & Masanobu Ishikawa, 2005. "A Framework for Quantified Eco‐efficiency Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 25-41, October.
    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. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    8. Minzhe Du & Jorge Antunes & Peter Wanke & Zhongfei Chen, 2022. "Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(9), pages 1727-1752, July.
    9. Marlena Gołaś & Piotr Sulewski & Adam Wąs & Anna Kłoczko-Gajewska & Kinga Pogodzińska, 2020. "On the Way to Sustainable Agriculture—Eco-Efficiency of Polish Commercial Farms," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
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