2021
DOI: 10.1016/j.eneco.2021.105415
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Green credit policy and firm performance: What we learn from China

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Cited by 310 publications
(146 citation statements)
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“…In Model (1), Crashrisk is the stock price crash risk as measured by NCSKEW and DUVOL . Policy indicates the implementation of GCP; following ( Hu et al, 2021 ; Yao et al, 2021 ), it is set to the value of 1 for the years after 2012 when the Green Credit Guidelines was issued, and 0 otherwise. Treat denotes whether the firm is in a heavy-polluting industry or whether it is subject to financial constraints imposed by the GCP; it is set to the value of 1 when the firm belongs to Category A industry or is a heavy-polluting firm (treatment group), and 0 when the firm is non-heavy-polluting firm (control group).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In Model (1), Crashrisk is the stock price crash risk as measured by NCSKEW and DUVOL . Policy indicates the implementation of GCP; following ( Hu et al, 2021 ; Yao et al, 2021 ), it is set to the value of 1 for the years after 2012 when the Green Credit Guidelines was issued, and 0 otherwise. Treat denotes whether the firm is in a heavy-polluting industry or whether it is subject to financial constraints imposed by the GCP; it is set to the value of 1 when the firm belongs to Category A industry or is a heavy-polluting firm (treatment group), and 0 when the firm is non-heavy-polluting firm (control group).…”
Section: Methodsmentioning
confidence: 99%
“…The tightened financing constraints thus increases the stock price crash risks of heavy-polluting firms. Therefore, we believe that GCP influences stock price crash risk through two channels: corporate financial constraints, which can be measured by corporate loan size, corporate loan cost, and the SA index ( Hadlock and Pierce, 2010 ; Yao et al, 2021 ), and information transparency, which can be measured by common financial reporting quality indicators like earnings quality ( DD ), corporate disclosure score ( DSCORE ), number of analysts following ( ANALYST ) and analysts’ earnings forecast accuracy ( ACCURACY ) ( Graham et al, 2005 ; Huddart et al, 2009 ).…”
Section: Introductionmentioning
confidence: 99%
“…They found that green credit can increase the value of new energy businesses in a sustainable and long-term way [ 35 ]. Also, it will reduce the corporate performance of heavily polluting companies [ 36 ].…”
Section: Literature Review and Theoretical Hypothesismentioning
confidence: 99%
“…High-polluting enterprises are capital-intensive industries and mainly rely on external bank credit nancing to obtain business development funds (Liu et al, 2019;Yao et al, 2021;Wang et al, 2020). Therefore, to urge high-polluting enterprises to implement green transformation at source, the Chinese government promulgated the "Green Credit Guidelines" in 2012.…”
Section: Introductionmentioning
confidence: 99%
“…Wen et al (2021) pointed out that the green credit policy under the Green Credit Guidelines in 2012 has a signi cantly negative effect on the allocation e ciency of credit and the upgrade of energy-intensive enterprises. Yao et al (2021) demonstrated the green credit policy has a "penalty effect", which would signi cantly reduce rm performance in heavily polluting industries. The ultimate goal of green credit is to promote polluting enterprises to achieve transformation and upgrading or to exit projects that may cause major polluting problems rather than directly close these enterprises.…”
Section: Introductionmentioning
confidence: 99%