Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis

Liyun Chen and Qi Duan ()
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Liyun Chen: Tianjin Agricultural University
Qi Duan: Tianjin Hi-tech Science & Technology Investment Management Company Ltd

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 84, issue 1, No 16, 267-277

Abstract: Abstract Using a production-theoretical decomposition analysis, this study evaluated the driving factors impacting CO2 emissions between 2001 and 2010 in 28 provinces in China. Factors were decomposed into six indicators: scale effect, technical efficiency, technological progress, change in carbon emission intensity, change in inputs, and change in output structure. The results showed that changes in scale effect and change in inputs were the main factors driving CO2 emissions growth. Conversely, technical efficiency, technological progress, and change in output structure inhibited CO2 emission growth. Change in carbon emission intensity had little effect on CO2 emission growth.

Keywords: Production-theoretical decomposition analysis; CO2 emissions; Directional distance function (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (12)

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DOI: 10.1007/s11069-016-2313-1

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