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What Is the Efficiency of Fast Urbanization? A China Study

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  • Yitian Ren

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400030, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400030, China
    Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Heng Li

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Liyin Shen

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400030, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400030, China)

  • Yu Zhang

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400030, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400030, China
    Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Yang Chen

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400030, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400030, China
    Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Jinhuan Wang

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400030, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400030, China
    Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

Abstract

Urbanization is commonly described as the process of population flow from rural to urban areas. As the largest developing country, China has experienced an unprecedentedly fast and large urbanization process since 1980s, which will continue for the coming future. The immense scale of the process has brought multidimensional benefits across all sectors in the country, yet also consumed a vast amount of resources and caused various types of environmental problems. The conflict between limited resources and an unstoppable urbanization process has become a pressing issue, which presents the urgent need for efficiency pursuance in the process of urbanization in order to ensure sustainable urban development. It is considered that the improvement of urbanization efficiency in large developing countries such as China has great implications for global sustainability. There is little existing study conducted to understand what efficiency achieved in the current fast urban development era in China. This study investigates the urbanization efficiency and its changes in the contemporary China. A set of input-output indicators are employed for analyzing the efficiency, in which both desirable and undesirable outputs are considered. The Super-efficiency Slack-based Measure (SBM) model and DEA-based Malmquist Production Index (MPI) are adopted collectively for conducting data analysis. The research is conducted at provincial level in China and the data collected for analysis are from 30 provinces for the period of 2006–2015. The results from this study show that the overall urbanization efficiency in China during the surveyed period is low, although certain improvement has been achieved. The difference between good and poor performers is considerable. In general, those provinces with better social and economic background have better urbanization efficiency performance. East China is much better than the rest of China, whilst Southwest region has the poorest performance.

Suggested Citation

  • Yitian Ren & Heng Li & Liyin Shen & Yu Zhang & Yang Chen & Jinhuan Wang, 2018. "What Is the Efficiency of Fast Urbanization? A China Study," Sustainability, MDPI, vol. 10(9), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3180-:d:167998
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    References listed on IDEAS

    as
    1. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    2. Leleu, Herve, 2006. "A linear programming framework for free disposal hull technologies and cost functions: Primal and dual models," European Journal of Operational Research, Elsevier, vol. 168(2), pages 340-344, January.
    3. Shahbaz, Muhammad & Lean, Hooi Hooi, 2012. "Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia," Energy Policy, Elsevier, vol. 40(C), pages 473-479.
    4. Elena Domene & David Saurí, 2006. "Urbanisation and Water Consumption: Influencing Factors in the Metropolitan Region of Barcelona," Urban Studies, Urban Studies Journal Limited, vol. 43(9), pages 1605-1623, August.
    5. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    6. Bakirtas, Tahsin & Akpolat, Ahmet Gokce, 2018. "The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries," Energy, Elsevier, vol. 147(C), pages 110-121.
    7. Temple, Jeromey B. & Rice, James Mahmud & McDonald, Peter F., 2017. "Mature age labour force participation and the life cycle deficit in Australia: 1981–82 to 2009–10," The Journal of the Economics of Ageing, Elsevier, vol. 10(C), pages 21-33.
    8. 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.
    9. Du, Limin & Wei, Chu & Cai, Shenghua, 2012. "Economic development and carbon dioxide emissions in China: Provincial panel data analysis," China Economic Review, Elsevier, vol. 23(2), pages 371-384.
    10. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
    11. Ebeke, Christian Hubert & Ntsama Etoundi, Sabine Mireille, 2017. "The Effects of Natural Resources on Urbanization, Concentration, and Living Standards in Africa," World Development, Elsevier, vol. 96(C), pages 408-417.
    12. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    13. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    14. Lei Liu & Tong Wu & Zhihang Xu & Xiaofeng Pan, 2018. "The Water-Economy Nexus and Sustainable Transition of the Pearl River Delta, China (1999–2015)," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    15. Jiang, Yanpeng & Mohabir, Nalini & Ma, Renfeng & Zhu, Pengyu, 2017. "Sorting through Neoliberal Variations of Ghost Cities in China," Land Use Policy, Elsevier, vol. 69(C), pages 445-453.
    16. Alwyn Young, 2013. "Inequality, the Urban-Rural Gap, and Migration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1727-1785.
    17. Barbot, Cristina & Costa, Ã lvaro & Sochirca, Elena, 2008. "Airlines performance in the new market context: A comparative productivity and efficiency analysis," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 270-274.
    18. Molero-Simarro, Ricardo, 2017. "Inequality in China revisited. The effect of functional distribution of income on urban top incomes, the urban-rural gap and the Gini index, 1978–2015," China Economic Review, Elsevier, vol. 42(C), pages 101-117.
    19. Sebastián Lozano & Ester Gutiérrez, 2014. "A slacks-based network DEA efficiency analysis of European airlines," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 623-637, October.
    20. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    21. Nucci, Francesco & Riggi, Marianna, 2018. "Labor force participation, wage rigidities, and inflation," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 274-292.
    22. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    23. 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.
    24. Elliott, Robert J.R. & Sun, Puyang & Zhu, Tong, 2017. "The direct and indirect effect of urbanization on energy intensity: A province-level study for China," Energy, Elsevier, vol. 123(C), pages 677-692.
    25. 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.
    26. Yingyuan Guo & Xingneng Xia & Sheng Zhang & Danping Zhang, 2018. "Environmental Regulation, Government R&D Funding and Green Technology Innovation: Evidence from China Provincial Data," Sustainability, MDPI, vol. 10(4), pages 1-21, March.
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    7. Bruno M. B. Pinto & Fernando A. F. Ferreira & Ronald W. Spahr & Mark A. Sunderman & Leandro F. Pereira, 2023. "Analyzing causes of urban blight using cognitive mapping and DEMATEL," Annals of Operations Research, Springer, vol. 325(2), pages 1083-1110, June.

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