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Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China

Author

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  • Chaozheng Zhang

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
    Both authors contributed equally to this work and should be considered co-first authors.)

  • Yangyue Su

    (School of Economics and Management, Tongji University, Shanghai 200092, China
    Both authors contributed equally to this work and should be considered co-first authors.)

  • Gangqiao Yang

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Danling Chen

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

  • Rongxuan Yang

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Promoting cultivated land use efficiency (CLUE) coordinated development in various major function-oriented zones is a measure to deal with unbalanced development of territorial space in China. Taking the optimized development, key development, agricultural production, ecological function, and ecological economic zones of Zhejiang province as research objects, this study incorporated agricultural carbon emission into the measurement framework of CLUE and analyzed the regional disparity and the convergence of CLUE from 2008 to 2017, using slack-based measure model (SBM), the Theil index, and convergence theory. The main results are as follows: (1) The CLUE value that considered agricultural carbon emissions was lower than the CLUE value that did not consider agricultural carbon emissions; thus, agricultural carbon emissions had a negative effect on CLUE. (2) The CLUE value of the five major function-oriented zones showed an increasing trend; after ranking the CLUE value, the CLUE of the optimized development zones was the highest, followed by the ecological function, ecological economic, and key development zones, and that of the agricultural production zones was the lowest, indicating significant regional disparity. (3) The overall disparity of CLUE presented an upward trend, and the within-regional disparity is the main source of the overall disparity. (4) Neither σ convergence nor absolute β convergence occurred in the CLUE of the five major function-oriented zones, but conditional β convergence occurred among the optimized development and ecological economic zones. Although the planning of major function-oriented zones reflects the regional disparity and convergence of CLUE to some extent, the CLUE under the control of major function-oriented zones is not consistent with the function positioning.

Suggested Citation

  • Chaozheng Zhang & Yangyue Su & Gangqiao Yang & Danling Chen & Rongxuan Yang, 2020. "Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China," Land, MDPI, vol. 9(4), pages 1-20, April.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:4:p:114-:d:343828
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    as
    1. 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.
    2. Ciaian, Pavel & Guri, Fatmir & Rajcaniova, Miroslava & Drabik, Dusan & Paloma, Sergio, 2015. "Land Fragmentation, Production Diversification, and Food Security: A Case Study from Rural Albania," 2015 Conference, August 9-14, 2015, Milan, Italy 211539, International Association of Agricultural Economists.
    3. 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.
    4. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    5. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-251, April.
      • Barro, R.J. & Sala-I-Martin, X., 1991. "Convergence," Papers 645, Yale - Economic Growth Center.
      • Barro, Robert J. & Sala-i-Martin, Xavier, 1992. "Convergence," Scholarly Articles 3451299, Harvard University Department of Economics.
    6. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    7. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, July.
    8. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    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. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
    11. Dan Wu & Changxin Zou & Wei Cao & Lulu Liu, 2018. "Analysis of the Ecosystem Soil Conservation Function Based on the Major Function-Oriented Zones across the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 10(10), pages 1-15, September.
    12. Su, Mo & Guo, Renzhong & Hong, Wuyang, 2019. "Institutional transition and implementation path for cultivated land protection in highly urbanized regions: A case study of Shenzhen, China," Land Use Policy, Elsevier, vol. 81(C), pages 493-501.
    13. Qianru Chen & Hualin Xie, 2019. "Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China," Land, MDPI, vol. 8(11), pages 1-17, October.
    14. 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.
    15. Miller, Stephen M. & Upadhyay, Mukti P., 2002. "Total factor productivity and the convergence hypothesis," Journal of Macroeconomics, Elsevier, vol. 24(2), pages 267-286, June.
    16. Theil, Henri & Theil, Henri, 1979. "World income inequality and its components," Economics Letters, Elsevier, vol. 2(1), pages 99-102.
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