Author
Abstract
Emissions trading schemes (ETS) area is a leading climate policy instrument worldwide and have been widely discussed and researched. However, few studies to date focus on the nexus of ETS and income inequality, an important socioeconomic phenomenon. To fill this gap, taking China as an example, this paper discusses the influence of ETS on income inequality and its dynamic changes using a time-varying differences-in-difference model combined with a propensity score matching approach. The results demonstrate that China's pilot ETS has contributed to reducing income inequality. Various robustness tests support this conclusion. Moreover, the strength of ETS’s contribution to reduction in income inequality gradually increases over time. We further analyze the mediating effects of carbon intensity, energy consumption, industrial structure, and technological innovation. ETS reduces income inequality by reducing coal consumption. The regional heterogeneity analysis shows that, unlike in other regions, ETS has a positive impact on income inequality (i.e. it increases it) in the eastern region in China due to its optimized energy structure and relatively complete, open, and flexible economy system. The paper discusses the above findings and their policy implications. It is also designed to promote research on ETS and to diversify research perspectives of income inequality from both theoretical and practical aspects. Key policy insightsEvidence from China’s pilot experience with ETS shows that it contributes significantly to balancing income distribution and alleviating the increasingly acute social conflicts caused by income inequality. This provides new theoretical and decision support for the promotion of ETS in the future.The energy revolution driven by ETS promotes income redistribution, which is conducive to income equality. Governments should enforce the constraints of ETS on power generation companies; guide capital to invest more in the non-thermal power industry, especially the renewable energy power sectors; and guide and regulate the income distribution in new power sectors.Governments’ revenue from ETS can and should be used to further redistribution of income and to reduce income inequality.A higher number of free quotas and a lower carbon price could be imposed on low-profit or labor-intensive industries to reduce their emission costs.
Suggested Citation
Jiekuan Zhang & Yan Zhang, 2023.
"How emissions trading affects income inequality: evidence from China,"
Climate Policy, Taylor & Francis Journals, vol. 23(5), pages 593-608, May.
Handle:
RePEc:taf:tcpoxx:v:23:y:2023:i:5:p:593-608
DOI: 10.1080/14693062.2022.2099789
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tcpoxx:v:23:y:2023:i:5:p:593-608. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcpo20 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.