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Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China

Author

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  • Ying Chen

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Suran Li

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Long Cheng

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The rapid urban and industrial development in China has put pressure on the limited cultivated land resources. In ecologically fragile areas, such as the Dongting Lake Eco-economic Zone, land pollution and waste emissions from agricultural production cause irreversible damage to cultivated land. Thus, a method to assess the sustainability of cultivated land use efficiency (CLUE) is explored. Using the panel data of 25 districts in the province from 2007 to 2017, this study incorporates agricultural non-point source pollution and carbon emissions into undesirable outputs of cultivated land. The SBM(Slack-based Measure)-undesirable model was applied to measure the spatiotemporal characteristics of CLUE under environmental constraints. This study finds that CLUE with environmental constraints is significantly lower than CLUE without environmental constraints, and the degree of the impacts of the constraints differs among regions. Second, from 2007 to 2017, the average CLUE of the province showed a downward trend in each year; this is due to the side effects of redundant inputs and undesired outputs. Third, in 2017, the CLUE of the Dongting Lake Eco-economic Zone was high in the west and low in the east, and the redundant inputs of CLUE were livestock, fertilizer, and pesticide. The study concludes by recommending some policies.

Suggested Citation

  • Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:11:p:440-:d:442778
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    5. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    6. Qi Liu & Jiajun Qiao & Dong Han & Mengjuan Li & Liangxiao Shi, 2023. "Spatiotemporal Evolution of Cultivated Land Use Eco-Efficiency and Its Dynamic Relationship with Landscape Pattern Change from the Perspective of Carbon Effect: A Case Study of Henan, China," Agriculture, MDPI, vol. 13(7), pages 1-27, July.
    7. Zhiqiang Zhou & Wenyan Liu & Huilin Wang & Jingyu Yang, 2022. "The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    8. Guijie Qiu & Xiaonan Xing & Guanqiao Cong & Xinyu Yang, 2022. "Measuring the Cultivated Land Use Efficiency in China: A Super Efficiency MinDS Model Approach," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    9. Binkai Xu & Yanming Sun, 2023. "The Impact of Industrial Agglomeration on Urban Land Green Use Efficiency and Its Spatio-Temporal Pattern: Evidence from 283 Cities in China," Land, MDPI, vol. 12(4), pages 1-19, April.
    10. Barbara Kalisz & Krystyna Żuk-Gołaszewska & Wioleta Radawiec & Janusz Gołaszewski, 2023. "Land Use Indicators in the Context of Land Use Efficiency," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    11. Houtian Tang & Yuanlai Wu & Jinxiu Chen & Liuxin Deng & Minjie Zeng, 2022. "How Does Change in Rural Residential Land Affect Cultivated Land Use Efficiency? An Empirical Study Based on 42 Cities in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 11(12), pages 1-20, December.

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