| Title |
Green Credit Guideline Influencing Enterprises' Green Transformation in China |
| ID_Doc |
31399 |
| Authors |
Liao, XC; Wang, J; Wang, T; Li, MC |
| Title |
Green Credit Guideline Influencing Enterprises' Green Transformation in China |
| Year |
2023 |
| Published |
Sustainability, 15, 15 |
| DOI |
10.3390/su151512094 |
| Abstract |
To achieve high-quality corporate development, it is essential to undergo green transformation. Unlike previous literature, this paper explores relevant mechanisms affecting firms' green transformation from a novel perspective of green credit guidelines (GCG). Using A-share listed industrial enterprises in China from 2010 to 2020 as a sample, we combine the generalized moment estimation model (GMM) with the difference-in-difference model (DID) and demonstrate that (1) GCG significantly promotes enterprises' green transformation measured by the method of super-efficient Slacks-Based Measure and Data Envelopment Analysis (SBM-DEA). (2) GCG tends to improve green technology innovation, which further facilitates firms' green transformation, and corporate social responsibility (CSR) reinforces the positive relationship between GCG and firms' green transformation. Correspondingly, we provide policy recommendations for China and other developing countries. |
| Author Keywords |
green credit guideline; corporate green transformation; green technology; corporate social responsibility; GMM-DID |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001045750000001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/15/15/12094/pdf?version=1691418598
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