Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 25, Pages 38083-38096Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-18098-7
Keywords
Carbon emission intensity; Multidimensional decomposition approach; Biased technical change; Energy structure; Element substitution; Efficiency change
Categories
Funding
- National Natural Science Foundation of China [71973132]
- National Social Science Fund of China [19VHQ002]
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This study proposes a novel multidimensional decomposition approach to explore the driving factors of carbon emission intensity in China. The results show that the role of these drivers varies across different five-year plan periods.
The decomposition analysis has been employed to discover the driving factors of carbon emission intensity, but the current studies assume that production functions are under the condition of the neutral technical change. Grounded on biased technical change production theory, this paper proposes a novel multidimensional decomposition approach which combines production-theory decomposition analysis (PDA) and index decomposition analysis (IDA). This novel approach can illustrate how energy structure effect, element substitution effect, efficiency change effect, input biased technical change, output biased technical change and magnitude of technical change affect carbon emission intensity of China's 30 provinces. The results indicate that during the 11th FYP and 13th FYP, output biased technical change and the magnitude of technical change are the critical factors in China's carbon emission intensity, while other four drivers increase carbon emissions. But, during the 12(th) FYP, the role of six drivers has been reversed contrasting 11th FYP and 13th FYP. In addition, we also explore the impact of each driver from the perspective of regional heterogeneity.
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