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Spatial Pattern of Regional Urbanization Efficiency: An Empirical Study of Shanghai

Author

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  • Jinyan Zhan

    (Beijing Normal University)

  • Fan Zhang

    (Beijing Normal University)

  • Siqi Jia

    (Chinese Academy of Sciences
    Chinese Academy of Sciences)

  • Xi Chu

    (Hubei University)

  • Yifan Li

    (Beijing Normal University)

Abstract

China is the fastest urbanizing area in the world. The complex urban systems not only create more socioeconomic output (such as GDP), but also bring more infrastructural costs and environmental losses. Thus, urban research has concentrated on urbanization efficiency toward efficient and spatially coordinated instead of urban size. In this paper, we use data envelopment analysis (DEA) to estimate how well districts in Shanghai utilize their resources. Based on data for five inputs and three outputs, we applied an input-oriented BBC Model and an output-oriented CCR Model for Decision Making Units (DMUs) assessment and urbanization efficiency analysis. In addition, the spatial pattern of relative urbanization efficiency is examined by spatial autocorrelation model. The research result indicates that it is in downward trend mainly affected by technical constraints, 11 out of 17 districts in Shanghai are efficient, and the urbanization efficiency gap between Pudong New district and Huangpu district is significant. The districts’urbanization efficiency in south areas are higher than that in middle and northeast area.

Suggested Citation

  • Jinyan Zhan & Fan Zhang & Siqi Jia & Xi Chu & Yifan Li, 2018. "Spatial Pattern of Regional Urbanization Efficiency: An Empirical Study of Shanghai," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1277-1291, December.
  • Handle: RePEc:kap:compec:v:52:y:2018:i:4:d:10.1007_s10614-017-9744-y
    DOI: 10.1007/s10614-017-9744-y
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    1. Banker, Rajiv D. & Thrall, R. M., 1992. "Estimation of returns to scale using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 62(1), pages 74-84, October.
    2. Xiangzheng Deng & Zhan Wang & Chunhong Zhao, 2016. "Economic Evolution In China Ecologically Fragile Regions," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 552-576, July.
    3. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    4. 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.
    5. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    6. Yong Li & Zhongxin Ni & Jie Zhang, 2011. "An Efficient Stochastic Simulation Algorithm for Bayesian Unit Root Testing in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 237-248, March.
    7. Muhammad Shahbaz & Rashid Sbia & Helmi Hamdi & Ilhan Ozturk, 2014. "Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates," Post-Print halshs-01902764, HAL.
    8. Gupta, Sanjeev & Kangur, Alvar & Papageorgiou, Chris & Wane, Abdoul, 2014. "Efficiency-Adjusted Public Capital and Growth," World Development, Elsevier, vol. 57(C), pages 164-178.
    9. Wang, Qiang, 2014. "Effects of urbanisation on energy consumption in China," Energy Policy, Elsevier, vol. 65(C), pages 332-339.
    10. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    11. Cohen, Barney, 2006. "Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability," Technology in Society, Elsevier, vol. 28(1), pages 63-80.
    12. Li, Yi & Li, Yangfan & Qureshi, Salman & Kappas, Martin & Hubacek, Klaus, 2015. "On the relationship between landscape ecological patterns and water quality across gradient zones of rapid urbanization in coastal China," Ecological Modelling, Elsevier, vol. 318(C), pages 100-108.
    13. Ma-Lin Song & Yuan-Xiang Zhou, 2015. "Analysis of Carbon Emissions and Their Influence Factors Based on Data from Anhui of China," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 359-374, October.
    14. John Friedmann, 2006. "Four Theses in the Study of China’s Urbanization," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 30(2), pages 440-451, June.
    15. Vernon Henderson, 2002. "Urbanization in Developing Countries," The World Bank Research Observer, World Bank Group, vol. 17(1), pages 89-112.
    16. Song, Ma-Lin & Zhang, Lin-Ling & Liu, Wei & Fisher, Ron, 2013. "Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data," Applied Energy, Elsevier, vol. 112(C), pages 1049-1055.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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