Abstract

Regional trade agreements (RTAs) have been widely adopted to facilitate international trade and cross-border investment and promote economic development. However, ex ante measurements of the environmental effects of RTAs to date have not been well conducted. Here, we estimate the CO2 emissions burdens of the Regional Comprehensive Economic Partnership (RCEP) after evaluating its economic effects. We find that trade among RCEP member countries will increase significantly and economic output will expand with the reduction of regional tariffs. However, the results show that complete tariff elimination among RCEP members would increase the yearly global CO2 emissions from fuel combustion by about 3.1%, doubling the annual average growth rate of global CO2 emissions in the last decade. The emissions in some developing members will surge. In the longer run, the burdens can be lessened to some extent by the technological spillover effects of deeper trade liberalization. We stress that technological advancement and more effective climate policies are urgently required to avoid undermining international efforts to reduce global emissions.

The Regional Comprehensive Economic Partnership (RCEP) will come into force in January 2022. Here the authors quantify ex ante economic and environmental effects following RCEP tariff reductions.

Details

Title
Regional trade agreement burdens global carbon emissions mitigation
Author
Tian Kailan 1   VIAFID ORCID Logo  ; Zhang, Yu 1   VIAFID ORCID Logo  ; Li Yuze 2 ; Xi, Ming 3 ; Jiang Shangrong 3   VIAFID ORCID Logo  ; Duan Hongbo 3   VIAFID ORCID Logo  ; Yang, Cuihong 4   VIAFID ORCID Logo  ; Wang Shouyang 4 

 Chinese Academy of Sciences, NCMIS, MADIS, Academy of Mathematics and Systems Science, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Boston University, Questrom School of Business, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
 Chinese Academy of Sciences, NCMIS, MADIS, Academy of Mathematics and Systems Science, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621430596
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.