Study on factors affecting energy-related per capita carbon dioxide emission by multi-sectoral of cities: a case study of Tianjin

Yanan Chen () and Sheng Lin

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 77, issue 2, 833-846

Abstract: This paper analyzed dual perspectives of production and resident, and quantified factors affecting the energy-related per capita carbon emission from cities. Tianjin is the largest coastal city in northern China with rapid economic development and urbanization. Analysis of the CO 2 emission generated by driving forces in Tianjin can provide guidance for policy decisions on the CO 2 emission mitigation in global metropolises. Using LMDI and Kaya extension methods, this study built a decomposition model of economic output, economic structure, energy intensity of the production sectors, energy mix of the production sectors, population structure of urban and rural distribution, energy consumption per capita and energy mix of the household sectors to analyze the per capita carbon emission factors. The empirical study of Tianjin from 2005 to 2011 showed: Economic output played a positive role in the per capita carbon emission increasing, while economic structure, energy intensity of the production sectors and energy mix of the production sectors played a negative role; population structure of urban and rural distribution and energy consumption per capita promoted in the per capita carbon emission increasing, while energy mix of the household sectors inhibited the per capita carbon emission increasing. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Per capita; Energy; Carbon dioxide emission; Multi-sectoral; Driving factors (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s11069-015-1632-y

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