School of Marxism, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
School of Medical Humanities, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
Environ Sci Pollut Res Int. 2023 Nov;30(53):113636-113648. doi: 10.1007/s11356-023-29732-x. Epub 2023 Oct 18.
Financial fragility, ICT capital, environmental policy stringency, and education are the main factors that have also gained popularity regarding their impact on green growth. This study examines the impact of financial fragility, ICT capital, environmental policy stringency, and education on green growth. For analyzing the short- and long-run estimates, we have applied the panel QARDL model. The results of the panel QARDL model highlight that the estimates of non-performing bank loans and bank costs are negatively significant in both the short and long run, implying that financial fragility hurts green growth in the short and long run. Similarly, the estimated coefficients of the internet (mobile) and education estimates are positively significant in the short and long run, confirming that ICT capital and education are causing green growth, while environmental policy stringency promotes green growth only in the long run. Regarding the asymmetric effects of all the factors on green growth, the Wald test only confirms asymmetric effects in the long run. The study offers several significant recommendations for sustainable green development policies.
金融脆弱性、信息通信技术资本、环境政策严格程度和教育是对绿色增长影响也受到关注的主要因素。本研究考察了金融脆弱性、信息通信技术资本、环境政策严格程度和教育对绿色增长的影响。为了分析短期和长期估计，我们应用了面板 QARDL 模型。面板 QARDL 模型的结果突出表明，不良银行贷款和银行成本的估计在短期和长期都是负显著的，这意味着金融脆弱性在短期和长期都会损害绿色增长。同样，互联网（移动）和教育估计的估计系数在短期和长期都是正显著的，证实了信息通信技术资本和教育正在推动绿色增长，而环境政策严格程度仅在长期内促进绿色增长。关于所有因素对绿色增长的不对称影响，沃尔德检验仅在长期内确认了不对称影响。该研究为可持续绿色发展政策提供了一些重要建议。
