2022
DOI: 10.1016/j.eneco.2022.105990
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How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots

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Cited by 132 publications
(38 citation statements)
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“…From column (2), Table 2 reports that the CETP has a significant dampening effect on carbon emission levels, whether the control variables are included or not. Our results are in line with the findings of Wu and Wang (2022) and Yu et al (2022) . Differently from this study, Yu et al (2022) explore the impact of CETP on carbon emission intensity and a financial performance at the firm level, revealing that CETP can achieve a win–win situation in terms of carbon emission reduction as well as firm performance improvement.…”
Section: Resultssupporting
confidence: 93%
See 1 more Smart Citation
“…From column (2), Table 2 reports that the CETP has a significant dampening effect on carbon emission levels, whether the control variables are included or not. Our results are in line with the findings of Wu and Wang (2022) and Yu et al (2022) . Differently from this study, Yu et al (2022) explore the impact of CETP on carbon emission intensity and a financial performance at the firm level, revealing that CETP can achieve a win–win situation in terms of carbon emission reduction as well as firm performance improvement.…”
Section: Resultssupporting
confidence: 93%
“…The adjustment of capital and production factors optimizes resource allocation through a low-carbon technology innovation system, thus promoting the rational allocation and utilization efficiency of resources and finally realizing carbon emission reduction. In addition, under the CETP implementation, market selection will eliminate excess capacity and positively affect industrial transformation and upgrading ( Wu and Wang, 2022 ). Industrial restructuring can enhance the linkage between industries and form the basis for promoting the transformation of industrial structure to green and low carbon, thus realizing energy savings for enterprises and promoting regional industrial structure upgrading ( Hong et al, 2022 ).…”
Section: Resultsmentioning
confidence: 99%
“…In the future, more energy-intensive industries will be introduced to enrich the market transaction entities [ 78 ], enhance the liquidity of the carbon market, reshape the supply and demand relationship of carbon trading, and increase the trading volume of the carbon market. At the same time, most of the current carbon quota allocation methods are based on free allocation [ 67 ], and later consideration will be given to introducing paid allocation mechanism to optimize the rationality of quota allocation and enhance the initiative of enterprises to reduce carbon emissions. The abilities of regulation and fulfillment for the government should be stimulated.…”
Section: Discussionmentioning
confidence: 99%
“…At the same time, assuming the carbon trading price, if the government implements regulatory policies on carbon emission reduction enterprises, the government can obtain profits from carbon trading, which is the profit distribution coefficient. At the same time, assuming that is the carbon trading price [ 67 ] , if the government implements regulatory policies on carbon emission reduction enterprises, the government can obtain profits from carbon trading, and is the profit distribution coefficient [ 68 ].…”
Section: Construction and Analysis Of Evolutionary Game Modelmentioning
confidence: 99%
“…As the world’s largest carbon emitter, facing the pressure of domestic climate governance and international responsibility for emission reduction, after integrating the early pilot experience, China officially began to establish a national carbon trading mechanism at the end of 2017. The pilot policy of carbon emission trading has achieved an obvious emission reduction effect in China [ 4 ]. However, the construction of China’s carbon trading mechanism is still in its infancy, and the impact of the mechanism on carbon emissions is lack of in-depth quantitative analysis.…”
Section: Introductionmentioning
confidence: 99%