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An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China

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Author Info

  • Wang, Zhaohua
  • Yin, Fangchao
  • Zhang, Yixiang
  • Zhang, Xian

Abstract

In order to further study the realization of carbon intensity target, find the key influencing factors of CO2 emissions, and explore the path of developing low-carbon economy, this paper empirically studied the influences of urbanization level, economic level, industry proportion, tertiary industry proportion, energy intensity and R&D output on CO2 emissions in Beijing using improved STIRPAT (stochastic impacts by regression on population, affluence and technology) model. The model is examined using partial least square regression. Results show that urbanization level, economic level and industry proportion positively influence the CO2 emissions, while tertiary industry proportion, energy intensity and R&D output negatively do. Urbanization level is the main driving factor of CO2 emissions, and tertiary industry proportion is the main inhibiting factor. In addition, along with the growth of per capita GDP, the increase of CO2 emissions does not follow the Environmental Kuznets Curve model. Based on these empirical findings and the specific circumstances of Beijing, we provide some policy recommendations on how to reduce carbon intensity. Beijing should pay more attention to tertiary industry and residential energy consumption for carbon emission reduction. It is necessary to establish a comprehensive evaluation index of social development. Investing more capital on carbon emission reduction science and technology, and promoting R&D output is also an efficient way to reduce CO2 emissions.

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File URL: http://www.sciencedirect.com/science/article/pii/S0306261912004114
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Bibliographic Info

Article provided by Elsevier in its journal Applied Energy.

Volume (Year): 100 (2012)
Issue (Month): C ()
Pages: 277-284

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Handle: RePEc:eee:appene:v:100:y:2012:i:c:p:277-284

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Related research

Keywords: Carbon dioxide emission; STIRPAT model; Partial least square regression; Beijing city;

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Cited by:
  1. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
  2. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.

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