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China's urban residential carbon emission and energy efficiency policy

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  • Jiang, Jinhe

Abstract

With China's urbanization, issues relating to emission reduction of buildings have become more prominent. Based on the latest data, we estimate total area of China's buildings, total housing area, and residential elevator stock. And also, we estimate energy consumption and carbon emission from the fossil fuel during building operation phase. Two index decomposition analysis on changes of urban residential carbon emissions and emissions intensity have been applied. The major findings of the study are: firstly, there has been a significant shift from primary energy consumption to electricity and heat in urban residential during the periods of 1996–2012, and the proportion of direct CO2 emission to residential emission declined. Secondly, residential energy intensity, per capita housing area, total number of households are the main driving factors affecting the change in carbon emissions, with contribution rates of −39%, 77%, 67% respectively, and the decline of energy intensity is the most important factor of decreasing carbon intensity (contribution rate of 89%). Thirdly, reduction of carbon intensity is conducive to the decline of CO2 and decrease in emission intensity of urban residential. Residential energy efficiency policy lessons learned from rethink of economic and social policies during the study period were concluded finally.

Suggested Citation

  • Jiang, Jinhe, 2016. "China's urban residential carbon emission and energy efficiency policy," Energy, Elsevier, vol. 109(C), pages 866-875.
    • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:866-875
    DOI: 10.1016/j.energy.2016.05.060
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    20. Duan, Haiyan & Chen, Siyan & Song, Junnian, 2022. "Characterizing regional building energy consumption under joint climatic and socioeconomic impacts," Energy, Elsevier, vol. 245(C).
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    24. Wang, Guofeng & Deng, Xiangzheng & Wang, Jingyu & Zhang, Fan & Liang, Shiqi, 2019. "Carbon emission efficiency in China: A spatial panel data analysis," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
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