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Does Urban Sprawl Inhibit Urban Eco-Efficiency? Empirical Studies of Super-Efficiency and Threshold Regression Models

Author

Listed:
  • Qian Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Huaxing Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Dan Zhao

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Baodong Cheng

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Chang Yu

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yanli Yang

    (Institute of Agricultural Economy and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

With rapid urbanization in China, the phenomenon of urban sprawl has become prominent and has severely challenged sustainable urbanization and ecological civilization. Aiming to understand the impact of urban sprawl on the urban environment, this study calculates the eco-efficiency of 264 prefecture-level cities in China from 2003 to 2016 by using a super-efficiency data envelopment analysis model. Then, we establish a panel Tobit model and threshold regression model to empirically test the impact of urban sprawl on eco-efficiency and the threshold effect of the urban scale. The results show that urban sprawl hinders the improvement of urban eco-efficiency, especially in Eastern China, but relatively weak or even insignificant effects are observed in Central and Western China. Additionally, a threshold effect of urban sprawl on eco-efficiency can be found. When the city scale is small, urban sprawl seriously hinders the improvement of eco-efficiency. As the city scale gradually expands, the negative effect of urban sprawl on eco-efficiency first decreases, then the restraining effect is gradually strengthened. Our research findings can aid urban development in cities with different scales to reduce the negative effect of urban sprawl on the urban environment.

Suggested Citation

  • Qian Zhang & Huaxing Zhang & Dan Zhao & Baodong Cheng & Chang Yu & Yanli Yang, 2019. "Does Urban Sprawl Inhibit Urban Eco-Efficiency? Empirical Studies of Super-Efficiency and Threshold Regression Models," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5598-:d:275282
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    References listed on IDEAS

    as
    1. Gaigné, Carl & Riou, Stéphane & Thisse, Jacques-François, 2012. "Are compact cities environmentally friendly?," Journal of Urban Economics, Elsevier, vol. 72(2), pages 123-136.
    2. Brueckner, Jan K. & Largey, Ann G., 2008. "Social interaction and urban sprawl," Journal of Urban Economics, Elsevier, vol. 64(1), pages 18-34, July.
    3. Lin Chen & Chunying Ren & Bai Zhang & Zongming Wang & Mingyue Liu, 2018. "Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    4. Belal N. Fallah & Mark D. Partridge & M. Rose Olfert, 2011. "Urban sprawl and productivity: Evidence from US metropolitan areas," Papers in Regional Science, Wiley Blackwell, vol. 90(3), pages 451-472, August.
    5. Gaigné, Carl & Riou, Stéphane & Thisse, Jacques-François, 2012. "Are compact cities environmentally friendly?," Journal of Urban Economics, Elsevier, vol. 72(2), pages 123-136.
    6. Liu, Yong & Fan, Peilei & Yue, Wenze & Song, Yan, 2018. "Impacts of land finance on urban sprawl in China: The case of Chongqing," Land Use Policy, Elsevier, vol. 72(C), pages 420-432.
    7. 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.
    8. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    9. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    10. Ehrlich, Maximilian V. & Hilber, Christian A.L. & Schöni, Olivier, 2018. "Institutional settings and urban sprawl: Evidence from Europe," Journal of Housing Economics, Elsevier, vol. 42(C), pages 4-18.
    11. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    12. Sickles,Robin C. & Zelenyuk,Valentin, 2019. "Measurement of Productivity and Efficiency," Cambridge Books, Cambridge University Press, number 9781107036161.
    13. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    14. Qing Su & Joseph S. DeSalvo, 2008. "The Effect Of Transportation Subsidies On Urban Sprawl," Journal of Regional Science, Wiley Blackwell, vol. 48(3), pages 567-594, August.
    15. Carl Gaigné & Stéphane Riou & Jacques-François Thisse, 2012. "Are Compact Cities Environmentally (and Socially) Desirable ?," Cahiers de recherche CREATE 2012-4, CREATE.
    16. Defeng Zheng & Shuai Hao & Caizhi Sun & Leting Lyu, 2019. "Spatial Correlation and Convergence Analysis of Eco-Efficiency in China," Sustainability, MDPI, vol. 11(9), pages 1-16, April.
    17. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    18. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    19. repec:rre:publsh:v:40:y:2010:i:3:p:257-272 is not listed on IDEAS
    20. Yun Hao & Degang Yang & Jingjing Yin & Xi Chen & Anming Bao & Miao Wu & Xiaoyun Zhang, 2019. "The Effects of Ecological Policy of Kyrgyzstan Based on Data Envelope Analysis," Sustainability, MDPI, vol. 11(7), pages 1-18, March.
    21. Dong Feng & Jian Li & Xintao Li & Zaisheng Zhang, 2019. "The Effects of Urban Sprawl and Industrial Agglomeration on Environmental Efficiency: Evidence from the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(11), pages 1-12, May.
    22. Du, Juan & Liang, Liang & Zhu, Joe, 2010. "A slacks-based measure of super-efficiency in data envelopment analysis: A comment," European Journal of Operational Research, Elsevier, vol. 204(3), pages 694-697, August.
    23. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
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    Cited by:

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    2. Huafang Huang & Xiaomao Wu & Xianfu Cheng, 2020. "The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm," IJERPH, MDPI, vol. 17(12), pages 1-13, June.

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