首页> 外文期刊>Technological forecasting and social change >Do climate technology, financialization, and sustainable finance impede environmental challenges? Evidence from G10 economies
【24h】

Do climate technology, financialization, and sustainable finance impede environmental challenges? Evidence from G10 economies

机译:气候技术、金融化和可持续金融是否阻碍了环境挑战?来自G10经济体的证据

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Climate technologies and sustainable finance are imperative to ensure green growth agenda. Though there exists literature, however, little is known regarding the distinct influence of financial development and green finance in the framework of climate tech. This study examines the relevance of climate technologies, financialization (financial market efficiency and financial institutions' access), and sustainable finance in G10 countries. The initial findings confirm a long-run cointegrating relationship between model variables and highlight the issues of cross-sectional dependence and slope heterogeneity. Therefore, we employ the Cross-Sectional Augmented ARDL model and find that climate technologies, financial institutions' access, and green bonds (financial market efficiency) significantly decrease (increase) carbon emissions. Manifestly, the marginal contribution of climate technologies is higher towards emissions reduction, followed by green financing. Similar outcomes are observed in the short run; nevertheless, the coefficient magnitudes are relatively lower. The stability of the model is also confirmed through significant and negative error correction terms, implying a substantial convergence towards steady-state equilibrium in case of any deviation. These results are also validated by alternative estimators and offer valuable policy recommendations.
机译:气候技术和可持续金融对于确保绿色增长议程至关重要。然而,尽管存在文献,但人们对金融发展和绿色金融在气候技术框架中的独特影响知之甚少。本研究考察了气候技术、金融化(金融市场效率和金融机构准入)和可持续金融在 G10 国家的相关性。初步研究结果证实了模型变量之间的长期协整关系,并突出了横截面依赖性和斜率异质性问题。因此,我们采用横截面增强ARDL模型,发现气候技术、金融机构准入和绿色债券(金融市场效率)显着减少(增加)碳排放。显然,气候技术对减排的边际贡献更高,其次是绿色融资。在短期内观察到类似的结果;然而,系数幅度相对较低。模型的稳定性也通过显著和负误差修正项得到证实,这意味着在出现任何偏差的情况下,该模型会向稳态平衡大幅收敛。这些结果也得到了替代估计者的验证,并提供了有价值的政策建议。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号