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可再生能源技术创新和ESG绿色化:使用专利文本监督机器学习方法的证据

Yang Huang¹, Ni Xiong², ChengKun Liu³

¹The Institute for Sustainable Development, Macau University of Science and Technology, Macao, 999078, China.

Journal of environmental management

|October 10, 2024

概括

可再生能源技术创新 (RETI) 有助于减少企业的环境,社会和治理 (ESG) 绿色洗. 更高的董事会多样性和媒体关注放大了RETI对可持续发展的积极影响.

科学领域:

环境科学环境科学
公司治理公司治理
可持续发展可持续发展可持续发展

背景情况:

环境污染需要强大的企业环境治理.
管理环境,社会和治理 (ESG) 风险,特别是绿色洗,对于可持续发展至关重要.
可再生能源技术创新 (RETI) 在缓解ESG绿色洗方面的作用仍未得到充分研究.

研究的目的:

调查可再生能源技术创新 (RETI) 对企业ESG绿色洗的影响.
使用机器学习和文本分析构建RETI的代理变量.
检查董事会体验多样性和媒体关注对RETI-ESG绿色洗关系的缓和效应.

主要方法:

监督机器学习用于RETI代理变量构建.
对企业数据应用的文本分析技术.
对中国上市公司的样本进行计量经济学分析,包括内源性和稳定性测试.

主要成果:

RETI显著减少了企业的ESG绿色洗.
通过严格的测试证实了RETI对ESG绿色洗的抑制作用.
高级董事会的体验多样性和媒体关注加强了RETI和ESG绿色化之间的负面关系.

结论:

RETI是打击企业ESG绿色洗的有效工具.
公司治理机制,如董事会多样性,和外部监测,如媒体关注,提高RETI在促进真正的绿色实践的有效性.
这些发现为研究RETI,绿色洗和公司治理提供了理论和经验支持.

关键词:

董事会体验多样性的多样性.这是ESG绿色洗.机器学习机器学习媒体的关注媒体的关注可再生能源技术创新,可再生能源技术的创新.

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