Abstract
As a market-driven environmental regulation approach, emission trading system (ETS) has been given increasing attention worldwide, while the effect of ETS on green total factor productivity (GTFP) in China has not been comprehensively explored, which inspires us to fulfill this research gap. Based on the panel data of 281 prefecture-level and above cities from 2003 to 2017, this thesis employed the difference-in-differences (DID) model, propensity-score-matched difference-in-differences (PSM-DID) model, and spatial difference-in-differences (SDID) model to empirically investigate the direct and indirect effects of China’s ETS on GTFP at national, regional, and local (cities with different industrial feature) levels. The results indicate that ETS effectively and directly promoted GTFP in China at the national level, while the spatial heterogeneity of this effect is supported at regional and local levels, which highlights the importance and necessity of unified market construction and classified governance. The paper closes with a conclusion, some policy implications, and several promising research directions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
