Abstract
Environmental deterioration has become the primary issue restricting sustainable economic development, and the carbon trading system is one of the most effective tools for market-based emission reduction. China, a significant carbon emitter, has garnered attention from scholars for its pilot carbon trading mechanism. This has sparked extensive controversy in various studies, mainly focusing on the effectiveness and impact mechanisms of China’s pilot carbon trading. The existing carbon trading pilot is ineffective, and the impact of carbon trading on the region’s economy and environment remains unclear. Therefore, our study delves into the mediating variables influencing the impact of carbon trading on urban green development, with the intention of elucidating effective avenues for policy intervention. We compiled a panel dataset encompassing 241 Chinese cities from 2006 to 2019. Using the Difference-in-Differences (DID) method, we substantiated that the impact of Emissions Trading System (ETS) on urban Green Total Factor Productivity (GTFP) was primarily driven by technological shifts. The effect of the ETS on GTFP exhibited a positive trend (9.23%), also manifesting positive influence on technological transformation (8.64%), thereby confirming the Porter hypothesis from an efficiency decomposition perspective.Furthermore, employing a multi-mediation model, we dissected the effects of the ETS on GTFP, examining the facets of technological, structural, and scale effects. Research results in indicate that there is a mediating relationship between green technology innovation and industrial structure upgrade in this efficiency, i.e. ETS can achieve the improvement of GTFP by promoting green technology innovation and structure upgrade. These findings form the foundation for policy recommendations aimed at refining the national carbon market.
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The authors are grateful for financial support from National Natural Science Foundation youth project(Grant No. 72301259).
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Liu, J., Wang, L. How does emission trade scheme affect green total factor productivity: perspectives of efficiency decomposition and mediating effects. J. of Data, Inf. and Manag. (2024). https://doi.org/10.1007/s42488-024-00123-2
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DOI: https://doi.org/10.1007/s42488-024-00123-2