The economic effects of carbon tax on China’s provinces
Kuishuang Feng and
Journal of Policy Modeling, 2019, vol. 41, issue 4, 784-802
The responsibility for carbon emissions tends to be different under different emission accounting principles. By applying the latest 2012 Chinese multi-regional input–output table, this study evaluated the impacts of carbon tax on tax burdens and sectoral competitiveness in Chinese provinces when considering either production-based or consumption-based emissions. Our results indicated that, in the scenario of cutting production tax for carbon tax, the developed provinces, such as Beijing, Shanghai, Zhejiang, and Jiangsu, who are much bigger payers of production tax, are net beneficiaries of carbon tax. In contrast, recycling the tax revenues to low-income households makes the less-developed provinces in the central and western China become net revenue receivers. Furthermore, for competitiveness effects, the emission intensive sectors, such as Electricity and hot water production and supply, Petroleum and gas, and Metal products, are impacted vitally under both accounting principles in all provinces. Nevertheless, compared with the production-based principle, a consumption-based carbon tax could reduce the unfavorable competitiveness effects of most affected sectors in the less-developed provinces, while slightly increasing those effects in the developed provinces. Our results provide new information on the regional impacts of carbon tax based two different accounting principles with different tax revenue recycling scenarios.
Keywords: Carbon emissions; Accounting principles; Multi-regional input–output analysis; China (search for similar items in EconPapers)
JEL-codes: C67 E61 Q58 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:jpolmo:v:41:y:2019:i:4:p:784-802
Access Statistics for this article
Journal of Policy Modeling is currently edited by A. M. Costa
More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Haili He ().