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Measuring the Cultivated Land Use Efficiency in China: A Super Efficiency MinDS Model Approach

Author

Listed:
  • Guijie Qiu

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

  • Xiaonan Xing

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

  • Guanqiao Cong

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

  • Xinyu Yang

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

Abstract

Cultivated land is a vital strategic resource to ensure human survival and development. It is pertinent to introduce the environmental constraint index into the study of cultivated land use efficiency and promote the coordinated development of environmental and economic benefits. Based on the construction of the evaluation index system of cultivated land use efficiency, including carbon emission as the undesired output, this paper used the super efficiency MinDS model to measure the cultivated land use efficiency of China by using the data from 2009 to 2019. The results show the following. (1) During 2009–2019, the overall use efficiency of cultivated land in China showed a tendency to fluctuate and increase, ranging from 0.871 to 0.948, indicating high use efficiency. Eleven provinces had an average land use efficiency of more than 1. (2) Among the input–output indicators, the carbon emission indicator showed the largest average percentage of improvement at 15.21%, followed by the pesticide index and agricultural machinery index, and the smallest average improvement was the irrigation indicator at 3.55%. (3) There were apparent differences in the average relaxation and improvement proportion of input–output indicators of cultivated land use in the provinces. (4) China’s cultivated land use efficiency has absolute σ-convergence, absolute β-convergence and conditional β-convergence, which means that the difference in cultivated land use efficiency between provinces has a tendency to decrease, and that China’s cultivated land use efficiency will stabilize. This paper provides a clear direction for the promotion and improvement of cultivated land use efficiency in China.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:583-:d:1019383
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    as
    1. Hongpeng Guo & Wenkai Zhao & Chulin Pan & Guijie Qiu & Shuang Xu & Shun Liu, 2022. "Study on the Influencing Factors of Farmers’ Adoption of Conservation Tillage Technology in Black Soil Region in China: A Logistic-ISM Model Approach," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 121-134, March.
    4. 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.
    5. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    6. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    7. Guofeng Wang & Maolin Liao & Jie Jiang, 2020. "Research on Agricultural Carbon Emissions and Regional Carbon Emissions Reduction Strategies in China," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    8. Yahong Liu & Hailian Sun & Lei Shi & Huimin Wang & Zhai Xiu & Xiao Qiu & Hong Chang & Yu Xie & Yang Wang & Chengjie Wang, 2021. "Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    9. Hualin Xie & Yanwei Zhang & Yongrok Choi, 2018. "Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    10. Haoran Yang & Qun Wu, 2019. "Land Use Eco-Efficiency and Its Convergence Characteristics Under the Constraint of Carbon Emissions in China," IJERPH, MDPI, vol. 16(17), pages 1-17, August.
    11. Deng, Xiangzheng & Gibson, John, 2019. "Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 394-400.
    12. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    13. Juan Aparicio & José Ruiz & Inmaculada Sirvent, 2007. "Closest targets and minimum distance to the Pareto-efficient frontier in DEA," Journal of Productivity Analysis, Springer, vol. 28(3), pages 209-218, December.
    14. Binam, Joachim Nyemeck & Tonye, Jean & wandji, Njankoua & Nyambi, Gwendoline & Akoa, Mireille, 2004. "Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon," Food Policy, Elsevier, vol. 29(5), pages 531-545, October.
    15. Amos Quaye & Charles Hall & Valerie Luzadis, 2010. "Agricultural land use efficiency and food crop production in Ghana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 12(6), pages 967-983, December.
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