Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis

China, the world’s largest carbon emitter, has one of the most stringent provincial emissions reduction programs, incorporated into its Five-Year National Plan to reduce carbon emissions. However, the widening energy intensity gap between provinces poses a great challenge for carbon reduction. In th...

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Main Authors: Wang, Yifan, Li, Wei, Doytch, Nadia
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Published: Archīum Ateneo 2024
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Online Access:https://archium.ateneo.edu/asog-pubs/298
https://archium.ateneo.edu/context/asog-pubs/article/1300/viewcontent/s43621_024_00297_0.pdf
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spelling ph-ateneo-arc.asog-pubs-13002024-09-19T06:43:33Z Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis Wang, Yifan Li, Wei Doytch, Nadia China, the world’s largest carbon emitter, has one of the most stringent provincial emissions reduction programs, incorporated into its Five-Year National Plan to reduce carbon emissions. However, the widening energy intensity gap between provinces poses a great challenge for carbon reduction. In this study, we analyze the convergence of Energy intensity (EIC), i.e., the time-dependent decrease of differences among regional energy intensity over time focusing on a data set of 30 Chinese provinces from 2000 to 2015. Our goal is to identify the provinces that are responsible for the observed divergence in energy intensity and identify the factors causing that divergence in each individual case. The Theil index is used to capture inter-provincial energy inequality. We use the LMDI decomposition analysis to identify the drivers of energy inequality (energy consumption structure, energy efficiency, and industrial structure). The results suggest that reducing energy intensity in Inner Mongolia, Xinjiang, and Hebei is the key to solving China's increasing energy intensity “gap” dilemma. The factors causing the energy intensity divergence in Inner Mongolia and Xinjiang are related to lagging economic growth and low energy efficiency, which impedes carbon emission reductions significantly. The factors causing the divergence of energy intensity in Hebei are rooted in its heavy industrial structure. Our findings are directly applicable to crafting regional energy policy with more targeted and practical emission reduction programs. 2024-12-01T08:00:00Z text application/pdf https://archium.ateneo.edu/asog-pubs/298 https://archium.ateneo.edu/context/asog-pubs/article/1300/viewcontent/s43621_024_00297_0.pdf Ateneo School of Government Publications Archīum Ateneo Decomposition analysis Energy intensity σ Convergence Oil, Gas, and Energy Physical Sciences and Mathematics Sustainability
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Decomposition analysis
Energy intensity
σ Convergence
Oil, Gas, and Energy
Physical Sciences and Mathematics
Sustainability
spellingShingle Decomposition analysis
Energy intensity
σ Convergence
Oil, Gas, and Energy
Physical Sciences and Mathematics
Sustainability
Wang, Yifan
Li, Wei
Doytch, Nadia
Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis
description China, the world’s largest carbon emitter, has one of the most stringent provincial emissions reduction programs, incorporated into its Five-Year National Plan to reduce carbon emissions. However, the widening energy intensity gap between provinces poses a great challenge for carbon reduction. In this study, we analyze the convergence of Energy intensity (EIC), i.e., the time-dependent decrease of differences among regional energy intensity over time focusing on a data set of 30 Chinese provinces from 2000 to 2015. Our goal is to identify the provinces that are responsible for the observed divergence in energy intensity and identify the factors causing that divergence in each individual case. The Theil index is used to capture inter-provincial energy inequality. We use the LMDI decomposition analysis to identify the drivers of energy inequality (energy consumption structure, energy efficiency, and industrial structure). The results suggest that reducing energy intensity in Inner Mongolia, Xinjiang, and Hebei is the key to solving China's increasing energy intensity “gap” dilemma. The factors causing the energy intensity divergence in Inner Mongolia and Xinjiang are related to lagging economic growth and low energy efficiency, which impedes carbon emission reductions significantly. The factors causing the divergence of energy intensity in Hebei are rooted in its heavy industrial structure. Our findings are directly applicable to crafting regional energy policy with more targeted and practical emission reduction programs.
format text
author Wang, Yifan
Li, Wei
Doytch, Nadia
author_facet Wang, Yifan
Li, Wei
Doytch, Nadia
author_sort Wang, Yifan
title Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis
title_short Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis
title_full Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis
title_fullStr Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis
title_full_unstemmed Energy Intensity Convergence among Chinese Provinces: A Theil Index Decomposition Analysis
title_sort energy intensity convergence among chinese provinces: a theil index decomposition analysis
publisher Archīum Ateneo
publishDate 2024
url https://archium.ateneo.edu/asog-pubs/298
https://archium.ateneo.edu/context/asog-pubs/article/1300/viewcontent/s43621_024_00297_0.pdf
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