绿色金融改革,多方面的协作治理和企业绿色洗:双/偏差机器学习方法的证据
Zhaomin Wang1, Aiping He1, Shijing Nan1
1School of Economics and Management, Northwest University, Xi'an, 710127, China.
Journal of environmental management
|April 27, 2025
概括
中国的绿色金融改革令人惊地增加了企业的绿色洗. 这种影响对没有银行联系的公司,较小的公司以及竞争力较低或低金融科技地区的公司来说更为强烈.
科学领域:
- 环境经济学环境经济学
- 公司治理 公司治理
- 金融规章制度 金融规章制度 金融规章制度
背景情况:
- 中国建立了绿色金融改革和创新试点区 (PZGFRI),以鼓励绿色经济转型.
- 企业可能会使用绿色洗来获得合法性和财政援助,可能会破坏绿色金融的目标.
- 了解绿色金融改革 (GFR) 对企业绿色洗的影响对于有效的政策至关重要.
研究的目的:
- 调查绿色金融改革 (GFR) 对企业绿色洗的影响.
- 检查多面合作治理在这种关系中的作用.
- 根据GFR,确定加剧或减轻企业绿色洗的因素.
主要方法:
- 采用双 / 偏差机器学习模型来分析GFR对企业绿色洗的因果关系.
- 进行异质性分析,以探索跨不同公司特征和市场条件的绿色洗行为的变化.
- 评估了政府对环境的关注,媒体的关注和企业信息不透明性的缓解效应.
主要成果:
- 发现绿色金融改革 (GFR) 加剧了企业的绿色洗.
- 没有银行连接的企业,较小的企业,低竞争或资本密集型行业的企业,以及低金融科技地区的企业显示绿色洗的增加.
- 政府对环境的关注,媒体的关注和企业信息的不透明性减少了GFR促进绿色洗的程度.
结论:
- 绿色融资举措可能无意中鼓励企业绿色洗,需要仔细监控和治理.
- GFR对绿色洗的影响是异质的,需要针对不同类型和行业的不同类型和行业进行定制的政策干预.
- 提高透明度和利益相关者的注意力可以帮助减轻与绿色金融改革相关的绿色洗风险.
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