金融发展是否促进了泰国的环境质量:来自ARDL的证据

Muhammad Saeed, Z. Haider
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摘要

本研究考察了1970年至2018年金融部门发展、能源消费和经济增长对泰国碳排放的长期影响。首先,采用常规单位根检验、增广Dickey-Fuller根(ADF)检验和(PP) Phillips-Perron单位根检验来确认变量的平稳性。随后,使用自回归分布滞后(ARDL)检验来检验长期和短期估计的协整水平。ARDL绑定测试验证模型之间存在长期关联。实证结果表明,金融部门改善了环境质量,而能源消费对环境的影响相反。此外,他们通过确认经济和平方经济扩张对碳排放水平的负向和正向影响,表明泰国存在EKC假设验证。金融发展由国内对私营部门的信贷代替,对碳生产水平产生不利影响。这项研究可以为决策者在组织良好的经济政策下更好地捕获基本的环境污染物和开发高效和有效的能源铺平道路。这可以在经济发展的情况下显著减少二氧化碳的排放。这是唯一一项使用协整方法检验金融部门对二氧化碳排放的长期影响的研究。因此,本研究是一个适度的要求,以减少计量变量的偏估计的可能性,并填补现有文献的空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Financial Development Advanced Environmental Quality in Thailand: Evidenced from ARDL
This study investigates the long-term effects of financial-sector development, energy consumption, and economic growth on Thailand's carbon emission from 1970 to 2018. Firstly, use the conventional unit-root test, augmented Dickey-Fuller root (ADF), and (PP) Phillips-Perron unit root tests to confirm stationarity of variables. Later, Autoregressive Distributive lag (ARDL) test used to examine the cointegration level with long and short-run estimates. ARDL bound test verifies that there exists a long-run association among the model. Empirical results indicate that the financial sector improves the quality of the environment, while energy consumption inversely affects the environment. Furthermore, they indicate the presence of EKC hypothesis validation in Thailand by confirming the negative and positive effects of economic and square economic expansion towards carbon emission levels. Financial development is proxied by domestic credit to private divisions with a detrimental impact on a carbon production level. This study could pave the way for policymakers to capture the essential environmental pollutants better and develop efficient and effective energy in the presence of well-organized economic policies. That can significantly reduce carbon dioxide (CO2) emissions in the presence of economic development. It is the only research to examine the long-term influence of the financial sector on (CO2) carbon dioxide emission, using a cointegration-approach. Therefore, this research is a moderate demand to reduce the possibility of biased estimation of econometric variables and to close gaps in the existing literature.
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