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Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China

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  • Huikun Hong

    (Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China)

  • Deti Xie

    (College of Resources and Environments, Southwest University, Chongqing 400715, China)

  • Heping Liao

    (Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China)

  • Bo Tu

    (Graduate School of International Studies, Dong-A University, Busan 49236, Korea)

  • Jun Yang

    (Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China)

Abstract

Research on the land use efficiency of rural living spaces is at the core of conflicts about current rural land use and ecological environment construction in China. It can be effectively dealt with through the rational and healthy use of rural land, by promoting sustainable development and urban and rural coordination. Building on the foundation of ecosystem metabolism and sustainable development theories, this paper utilizes the Data Envelopment Analysis (DEA) Malmquist productivity index to divide the land use efficiency total factor productivity (LUTFP) into Malmquist–Luenberger technical change (MLTECH) and Malmquist–Luenberger efficiency change (MLEFFCH) from the perspective of scale change, and uses Kernel Function to measure and study the distribution characteristics of the dynamic evolution and land use efficiency (LUE) in different functional and productive areas and living space subsystem. The results show that, in the process of land use, desirable output growth in the Chongqing city rural living space is lower than the undesirable output reduction rate. Rural human settlement and construction management appears to damage the environment. The LUE in the obtained results showcases an obvious agglomeration effect in Chongqing. Also, there is a very significant “match-up” effect between the LUE and economic development level. In addition, the paper also finds that the technical change index and efficiency change index work together in rural living space LUTFP. The results presented in this paper can provide a basis for the optimization of regional development strategies and rural land utilization.

Suggested Citation

  • Huikun Hong & Deti Xie & Heping Liao & Bo Tu & Jun Yang, 2017. "Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China," Sustainability, MDPI, vol. 9(4), pages 1-16, March.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:444-:d:93871
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    References listed on IDEAS

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    1. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    2. Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
    3. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    4. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    5. Ezcurra, Roberto, 2007. "Is there cross-country convergence in carbon dioxide emissions?," Energy Policy, Elsevier, vol. 35(2), pages 1363-1372, February.
    6. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    7. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    8. 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.
    9. Warwick J. McKibbin & Alison Stegman, 2005. "Convergence And Per Capita Carbon Emissions," CAMA Working Papers 2005-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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    Cited by:

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    3. Hanlong Gu & Yiying Liu & Fengkui Qian & Qiubing Wang & Xiuru Dong, 2021. "An Empirical Analysis of the Factors Affecting Farmer Satisfaction Under the China Link Policy," SAGE Open, , vol. 11(2), pages 21582440211, June.
    4. Jingyi Wang & Kaisi Sun & Jiupai Ni & Deti Xie, 2020. "Evaluation and Factor Analysis of the Intensive Use of Urban Land Based on Technical Efficiency Measurement—A Case Study of 38 Districts and Counties in Chongqing, China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    5. Qi Wen & Caiting Shen & Siyou Xia & Yongsheng Wang, 2022. "Analysis of spatiotemporal variations and effects of regional functions in rural China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1414-1435, September.
    6. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    7. Zhongxun Zhang & Kaifang Shi & Zhiyong Zhu & Lu Tang & Kangchuan Su & Qingyuan Yang, 2022. "Spatiotemporal Evolution and Influencing Factors of the Rural Natural Capital Utilization Efficiency: A Case Study of Chongqing, China," Land, MDPI, vol. 11(5), pages 1-29, May.

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