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Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China

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Listed:
  • Li-Ming Xue

    (China University of Mining & Technology, Beijing (CUMTB))

  • Zhi-Xue Zheng

    (Peking University)

  • Shuo Meng

    (China University of Mining & Technology, Beijing (CUMTB))

  • Mingjun Li

    (China University of Mining & Technology, Beijing (CUMTB))

  • Huaqing Li

    (China University of Mining & Technology, Beijing (CUMTB))

  • Ji-Ming Chen

    (China University of Mining & Technology, Beijing (CUMTB))

Abstract

Improving carbon emission efficiency (CEE) would promote the development of the green and low-carbon economy in the Beijing-Tianjin-Hebei (BTH) region, China. This paper uses the EBM model of unexpected output to measure the city-level CEE of the BTH region from 2007 to 2016. The spatial distribution characteristics and evolution law of CEE are analyzed with respect to overall and local aspects, and the spatial quantile regression model is used to verify the influencing factors of CEE. The main findings are as follows: (1) The carbon emission in the BTH region is considered to be of medium efficiency, and there are eight cities within the region at middle- and high-efficiency levels. The overall efficiency values show a downward trend. Beijing, Cangzhou, Baoding have high-CEE values, whereas Handan, Tangshan, and Zhangjiakou have low-CEE values. (2) The CEE values for BTH show significant spatial agglomeration characteristics at both the global and local levels. The “H–H” agglomeration areas are primarily distributed in the central region, and the “L-L” agglomeration areas are chiefly distributed in the southern and northern regions. The spatial pattern change is generally stable. (3) The selected factors, URB, PGDP, DS, ISG, FDI, and TEL, have different regression coefficients on CEE at different quantiles.

Suggested Citation

  • Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:6:d:10.1007_s10668-021-01751-z
    DOI: 10.1007/s10668-021-01751-z
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    Cited by:

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    3. Shengli Dai & Yingying Wang & Weimin Zhang, 2022. "The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model," IJERPH, MDPI, vol. 19(15), pages 1-21, August.

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