2023
DOI: 10.1016/j.pacfin.2023.101951
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Regulatory-driven corporate greenwashing: Evidence from “low-carbon city” pilot policy in China

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Cited by 54 publications
(13 citation statements)
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“…Despite traditional reward and punishment policies, directional policies, such as the "low-carbon city" pilot policy where the Chinese central government prompts regions to aggressively reduce carbon emissions, have a more profound impact on greenwashing among companies located in the implemented regions. Zhang utilizes the "low-carbon city" pilot policy as a quasi-experiment design and finds that affected firms in these regions exhibit increased greenwashing manifested as more symbolic rhetoric and selective disclosure of positive information, with minimal substantive actions and suppression of negative news [26]. The trend is more pronounced among brown firms, politically connected firms, and those in regions with greater government interventions and GDP growth incentives.…”
Section: Greenwashingmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite traditional reward and punishment policies, directional policies, such as the "low-carbon city" pilot policy where the Chinese central government prompts regions to aggressively reduce carbon emissions, have a more profound impact on greenwashing among companies located in the implemented regions. Zhang utilizes the "low-carbon city" pilot policy as a quasi-experiment design and finds that affected firms in these regions exhibit increased greenwashing manifested as more symbolic rhetoric and selective disclosure of positive information, with minimal substantive actions and suppression of negative news [26]. The trend is more pronounced among brown firms, politically connected firms, and those in regions with greater government interventions and GDP growth incentives.…”
Section: Greenwashingmentioning
confidence: 99%
“…Secondly, unlike Western countries, China operates within a highly centralized political and economic system where government policy is crucial in mediating CSR practices. For example, the "low-carbon city" policy, despite being introduced as a directive by the central government, has inadvertently allowed brown companies to benefit from greenwashing practices, contradicting its initial vision [26]. Future studies could investigate policy shocks by employing a quasi-experimental design.…”
mentioning
confidence: 99%
“…A high variability of ESG scores will lead to the probability of greenwashing [ 74 ]. While green risk and ESG performance are not a mere reverse variation relationship [ 75 ], green risk changes corporate decision-making in response to environmental regulatory policies. According to the theory of signals and resource competition, when faced with the pressure of LCCP policy, ESG disagreement, which lead to greenwashing, has a stronger incentive to improve the pilot cities' ESG performance, thereby sending positive signals to markets and stakeholders to improve the availability of resources competition.…”
Section: Further Analysesmentioning
confidence: 99%
“…Therefore, we further discuss whether corporate greenwashing risk affects the LCCP policy in promoting the ESG performance. Following Zhang(2023), we adopt the approach to measurement of corporate greenwashing, which defines it as the difference between standardized ESG scores and ESG performance scores [ 75 ]. In details, the variable is adopted by Bloomberg ESG to measure standardized ESG disclosure, whereas Huazheng ESG focuses on ESG performance, The variable is used Bloomberg ESG data for measuring ESG disclosure, while the news rating index RKS CSR rating for the ESG performance.…”
Section: Further Analysesmentioning
confidence: 99%
“…Previous studies have employed content analysis, questionnaires, and third-party authentication methods to measure corporate greenwashing. For instance, Zhang [72] and Testa et al [73] employ content analysis methods to quantify the extent of greenwashing. However, concerns exist regarding the inherent validity of content analysis due to potential human coding errors, and it is also difficult to apply in large-sample studies due to workload.…”
Section: Dependent Variable: Corporate Greenwashingmentioning
confidence: 99%