Evolution analysis of the decoupling state and drivers between economic growth and CO2 emissions in RCEP member countries

With the development of urban cities and their economic growth, the increase of CO 2 emissions has become challenging, since the Regional Comprehensive Economic Partnership (RCEP) was officially established. To address this challenge, this study analyzes the historical trends in the RCEP economy and CO 2 emissions and determines the decoupling state of each member country using the Tapio decoupling model. Furthermore, this research obtains the driving factors affecting CO 2 emissions using the Logarithmic Mean Divisia Index (LMDI) model and analyses the driving forces of each member country to achieve the decoupling process by combining the LMDI and Tapio decoupling models. The results show that (1) Japan is the best decoupling country in terms of the decoupling relationship between economic growth and CO 2 emissions, while China has the most stable performance. Overall, developed countries exhibit better decoupling state than developing countries. From the aspect of proportion of decoupling states, the optimal state strong decoupling (SD) and the sub-optimal state weak decoupling (WD) account for 20.95 % and 31.43 %, respectively. The total percentage of these two states exceeds 50 %, which indicates a good decoupling status in the RCEP region. (2) The key drivers of CO 2 emission growth are economic and population effects, while the key driver of carbon emission reduction is the energy intensity effect. (3) The energy intensity effect is the main driver to achieve the decoupling process, while the greatest obstacle to the decoupling process is the economic effect. Finally, this study provides policy recommendations for the early realization of the decoupling process of economic growth and CO 2 emissions in RCEP member countries. • Reveal the decoupling relationship between economic growth and CO2 emissions in RCEP. • For the first time, the drivers of CO2 emissions in RCEP are decomposed using LMDI. • The driving forces of the decoupling process in RCEP are analyzed by Tapio-LMDI model. • Policy recommendations are offered to respond to future CO2 emissions growth in RCEP.