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How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress

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  • Wang, Zhaohua
  • Sun, Yefei
  • Wang, Bo

Abstract

The development of traditional urbanisation has generated environmental problems, so the Chinese Government has proposed a new-type of urbanisation path with uniquely Chinese characteristics. How does this new-type of urbanisation affect CO2 emissions? Based on panel data from 29 provinces in China (2005 to 2016), we apply an exploratory spatial data analysis model, a spatial econometric model, and a threshold model to analyse the spatial autocorrelation of CO2 emissions, the direct and indirect effects of new-type urbanisation on CO2 emissions, and the threshold characteristics produced by technological progress, respectively. The key results are: (1) CO2 emissions show significant positive autocorrelation in China, and the spatial distribution of CO2 emissions is HH (High-High) or LL (Low-Low) clustered in most provinces; (2) new-type urbanisation has a paradoxical effect on CO2 emissions. Energy-saving technology has a rebound effect on CO2 emissions, but environmental technology inhibits CO2 emissions; (3) by eliminating the rebound effect of energy-saving technology on CO2 emissions and promoting environmental technology, new-type urbanisation indirectly inhibits CO2 emissions; (4) new-type urbanisation exhibits a threshold effect on CO2 emissions due to the different levels of energy-saving technology and environmental technology. Finally, policy recommendations for CO2 emissions reduction are proposed from the perspective of new-type urbanisation, energy-saving technology, and environmental technology.

Suggested Citation

  • Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2019. "How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress," Energy Economics, Elsevier, vol. 80(C), pages 917-927.
  • Handle: RePEc:eee:eneeco:v:80:y:2019:i:c:p:917-927
    DOI: 10.1016/j.eneco.2019.02.017
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    19. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    20. Wang, Di & Zhou, Tao & Wang, Mengmeng, 2021. "Information and communication technology (ICT), digital divide and urbanization: Evidence from Chinese cities," Technology in Society, Elsevier, vol. 64(C).
    21. Yuang He & Xiaodan Gao & Yinhui Wang, 2022. "Sustainable Financial Development: Does It Matter for Greenhouse Gas Emissions?," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    22. Shi, Jian-hua & Han, Ying & Li, Xue-dong & Zhou, Jie-qi, 2022. "How does urbanization affect the direct rebound effect? Evidence from residential electricity consumption in China," Energy, Elsevier, vol. 239(PE).
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    More about this item

    Keywords

    New-type urbanisation; CO2 emissions; Energy-saving technology; Environmental technology;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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