Effects of linking national carbon markets on international macroeconomics: An open-economy E-DSGE model
Computers & Industrial Engineering, ISSN: 0360-8352, Vol: 169, Page: 108166
2022
- 13Citations
- 13Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Linking carbon markets in different economies has become an important form of international climate cooperation. However, the complex socioeconomic effects of linking carbon markets need to be fully assessed. This article develops an open-economy environmental dynamic stochastic general equilibrium (E-DSGE) model that incorporates international trade, asymmetric economies, and heterogeneous production sectors. Based on the example of the linkage between EU and China carbon markets, we analyze the international macroeconomic effects of linking standalone national carbon markets. The main findings are as follows: 1) The linked carbon market improved total social welfare of China and the EU, but led to an uneven distribution of social welfare across regions. 2) China and the EU had better economic performances under a linked carbon market than under two separate carbon markets; moreover, the linked carbon market amplified expansionary effects and mitigated negative cross-border spillover effects. 3) Both separate and linked carbon markets functioned as automatic stabilizers of the economy; the linked carbon markets reduced economic fluctuations in the face of supply-side shocks, while the separate carbon markets reduced economic fluctuations in the face of demand-side shocks.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0360835222002364; http://dx.doi.org/10.1016/j.cie.2022.108166; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85128394560&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0360835222002364; https://dx.doi.org/10.1016/j.cie.2022.108166
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know