Regional Industrial Redistribution and Carbon Emissions: A Dynamic Analysis for China

Shen, R, Huang, S and Yang, S. 2023. Regional Industrial Redistribution and Carbon Emissions: A Dynamic Analysis for China. Climate Policy. 23 (3), pp. 300-313. https://doi.org/10.1080/14693062.2022.2161980

TitleRegional Industrial Redistribution and Carbon Emissions: A Dynamic Analysis for China
TypeJournal article
AuthorsShen, R, Huang, S and Yang, S.
Abstract

To facilitate and balance regional economic development and to reduce carbon emissions, China has implemented a series of policies to promote the redistribution of industries and economic activities across regions since 2000. This paper employs a logarithmic mean Divisia index (LMDI) to analyse the dynamic net effect on carbon emissions of Chinese policies promoting economic redistribution across sub-national regions, using a panel data of five sectors in 30 provinces during 1995–2017. The results of our analysis show that the redistribution of industry in particular, but also business and construction activities, leads to an increase in CO2 emissions, while the relocation of agriculture and transportation activities reduces emissions. We also find that the emission increase effect of the transfer of carbon intensive industries to new (host) regions is higher than the emission reduction effect induced by the agglomeration of clean industries in the original (home) regions. However, from 2014–2017, alongside the gradual industrial redistribution, China has also reduced aggregate CO2 emissions by 58.6 MT. In addition, the results show that population migration, which is due to redistribution of industry and other economic activity, has caused higher emission increases than emission reductions due to redistribution policies. We further calculate the marginal effect of industrial redistribution on CO2 emissions and draw out relevant policy implication.

KeywordsIndustrial redistribution
regional development and climate
population migration
CO2 emissions
JournalClimate Policy
Journal citation23 (3), pp. 300-313
ISSN1469-3062
1752-7457
Year2023
PublisherTaylor & Francis
Accepted author manuscript
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1080/14693062.2022.2161980
Web address (URL)https://doi.org/10.1080/14693062.2022.2161980
Publication dates
Published online04 Jan 2023
Published2023
FunderNational Natural Science Foundation of China

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