The super efficiency SBM model is adopted to estimate the green total factor productivity(GTFP)of the electric power industry,which has the largest trading scale in the carbon trading market,in each province from 2010 to 2019.A multi-phase DID model is established to empirically test the impact of carbon trading policy on the GTFP of high-carbon industries.The results show that carbon trading policy sig-nificantly improves the GTFP of the electric power industry in pilot areas,while regional carbon dioxide emis-sions and the open-up degree are not conducive to the improvement in GTFP of the electric power industry.Carbon quota allocation with the benchmark method significantly increases the GTFP of the regional electric power industry,while that with the historical method demonstrates limited effect.Carbon trading policy en-hances GTFP by promoting the advancement of renewable energy technology in the electric power industry.The level of digitalization positively regulates the impact of carbon trading policy on the GTFP in the electric power industry.Carbon trading policy demonstrates varied effects on the GTFP of the electric power industry in different regions,with a prominent improving effect in eastern China and limited short-term effects in cen-tral and western China.To improve the GTFP in high-carbon industries,measures should be taken to acceler-ate the establishment and improvement of the carbon quota allocation system,improve the information disclo-sure system of the carbon trading market,strengthen data statistics and accounting,promote the reform of the green energy structure in high-carbon industries,and boost the high-quality development of the digital economy.
Carbon Trading MarketCarbon QuotaGreen Total Factor ProductivityCarbon Peaking and Carbon Neutrality
NETL
NSTL
万方数据
