Journal ArticleDOI
How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?
Yue-Jun Zhang,Wei Wang +1 more
TLDR
In this paper, the impact of China's carbon emissions trading (CET) policy on investment expenditure of A-share listed enterprises in eight energy-and carbon-intensive industries in China during 2009-2018 was investigated.About:
This article is published in Energy Economics.The article was published on 2021-03-13. It has received 88 citations till now. The article focuses on the topics: Investment (macroeconomics).read more
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The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China
Chen Zhu,Chien-Chiang Lee +1 more
TL;DR: Wang et al. as discussed by the authors employed a spatial difference-in-differences (SDID) approach to investigate both the direct and indirect effects of low-carbon pilot policy on technological innovation.
Journal ArticleDOI
Does China's carbon emissions trading scheme affect the market power of high-carbon enterprises?
Wei Wang,Yue-Jun Zhang +1 more
TL;DR: Wang et al. as discussed by the authors applied the difference-in-differences method and mediating effect model to estimate the impact of China's ETS on the market power of high-carbon enterprises.
Journal ArticleDOI
Green Credit Policy, Institution Supply and Enterprise Green Innovation
TL;DR: Wang et al. as discussed by the authors investigated the impact of green credit on the green technology innovation of heavily polluting enterprises and the role of institution supply in it, and found that the GCP plays a significant role in promoting the green innovation of highly polluted enterprises, and the conclusion is still valid after a series of robustness tests.
Journal ArticleDOI
Effect of Chinese pilots carbon emission trading scheme on enterprises' total factor productivity: The moderating role of government participation and carbon trading market efficiency.
TL;DR: Wang et al. as mentioned in this paper explored the impact of CETS on the TFP of enterprises and discussed the mediating role of government participation and carbon trading market efficiency, and found that the CETS has a statistically significant positive impact on the total factor productivity of enterprises, and the positive effect has been maintained for six years since its inception.
Journal ArticleDOI
How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots
Qingyang Wu,Yanying Wang +1 more
TL;DR: Based on a fir-level longitudinal dataset with the information of total factor productivity (TFP) and the economic variables from 2009 to 2019, this paper employed the time-varying difference-in-differences (TDID) model and conducted a post-evaluation of the carbon emission price of ETS pilots on firms' TFP for the first time.
References
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The central role of the propensity score in observational studies for causal effects
TL;DR: The authors discusses the central role of propensity scores and balancing scores in the analysis of observational studies and shows that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates.
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Managing Legitimacy: Strategic and Institutional Approaches
TL;DR: This article synthesize the large but diverse literature on organizational legitimacy, highlighting similarities and disparities among the leading strategic and institutional approaches, and identify three primary forms of legitimacy: pragmatic, based on audience self-interest; moral, based upon normative approval; and cognitive, according to comprehensibility and taken-for-grantedness.
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Some practical guidance for the implementation of propensity score matching
Marco Caliendo,Sabine Kopeinig +1 more
TL;DR: Propensity score matching (PSM) has become a popular approach to estimate causal treatment effects as discussed by the authors, but empirical examples can be found in very diverse fields of study, and each implementation step involves a lot of decisions and different approaches can be thought of.
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Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
TL;DR: This paper decompose the conventional measure of evaluation bias into several components and find that bias due to selection on unobservables, commonly called selection bias in econometrics, is empirically less important than other components, although it is still a sizeable fraction of the estimated programme impact.