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Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region

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  • Zhao, Zhe
  • Bai, Yuping
  • Wang, Guofeng
  • Chen, Jiancheng
  • Yu, Jiangli
  • Liu, Wei

Abstract

The intensification of urbanization has had a significant impact on land-use change, ecosystem services, and the urban environment in China. In this paper, we measured land eco-efficiency from an economic and ecological perspective using a Super Efficiency DEA model and Malmquist Index. Our study included 13 prefecture-level cities in the Beijing-Tianjin-Hebei region and covered the period from 2005 to 2013. We then built an indicator system to evaluate new-type urbanization and quantify the impacts of new-type urbanization on land eco-efficiency based on an extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) Model. Our results reveal an average annual growth rate of 14.3% for land eco-efficiency. There were distinct differences among cities that are closely related in terms of their development stage of new-type urbanization. The relationship between land eco-efficiency and new-type urbanization produced an N-shaped curve. This suggests that, when the development of new-type urbanization is taken into consideration, the land eco-efficiency trend followed a pattern of up-down-up. Enhancing technology, as well as modifying policies for environment management, will also help improve intensive land use and land eco-efficiency. Our paper provides a significant contribution to strengthening land-use management and advancing sustainable urban development in China.

Suggested Citation

  • Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    • Handle: RePEc:eee:tefoso:v:137:y:2018:i:c:p:19-26
    DOI: 10.1016/j.techfore.2018.09.031
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    References listed on IDEAS

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    1. 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.
    2. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    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. Malin Song & Shuhong Wang & Kaiya Wu, 2018. "Environment-biased technological progress and industrial land-use efficiency in China’s new normal," Annals of Operations Research, Springer, vol. 268(1), pages 425-440, September.
    5. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    6. 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.
    7. Song, Wei & Deng, Xiangzheng & Yuan, Yongwei & Wang, Zhan & Li, Zhaohua, 2015. "Impacts of land-use change on valued ecosystem service in rapidly urbanized North China Plain," Ecological Modelling, Elsevier, vol. 318(C), pages 245-253.
    8. Stefana Broadbent & Francesco Cara, 2018. "Seeking Control in a Precarious Environment: Sustainable Practices as an Adaptive Strategy to Living under Uncertainty," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    9. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    10. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
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