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技术创新、金融发展、可再生能源与生态足迹的动态关系:基于亚太经合组织国家 STIRPAT 模型的新见解。

Dynamic relationship between technological innovations, financial development, renewable energy, and ecological footprint: fresh insights based on the STIRPAT model for Asia Pacific Economic Cooperation countries.

机构信息

Department of Economics, Government College University, Faisalabad, 38000, Pakistan.

Laboratory of Quantitative Economics Applied to Development, National High School of Statistics and Applied Economy, Kolea, Algeria.

出版信息

Environ Sci Pollut Res Int. 2021 Mar;28(12):15519-15536. doi: 10.1007/s11356-020-11640-z. Epub 2020 Nov 25.

Abstract

This article seeks to analyze the impact of technological innovations, financial development, renewable energy consumption, economic growth, and population on the ecological footprint in Asia Pacific Economic Cooperation (APEC) countries by utilizing the balanced longitudinal data set during the period from 1990 to 2017. This study creates a new technological innovation index through principle component analysis including three important indicators that represent the technology and employs a consistent environmental framework identified as Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. The second generation panel estimation technique is employed to calculate robust and reliable outcomes. After confirming the cross-sectional dependency among series, panel unit root tests confirm that all variables are stationary at their first integrated order. Furthermore, Westerlund cointegration test confirms the presence of long-run association among variables. The outcomes explore that financial development and renewable energy utilization significantly accelerate the environmental quality by 0.0927% and 0.4274%, respectively. While, the increase in technological innovation activities, economic growth, and population size has a detrimental effect on environmental quality in the long run by 0.099%, 0.517%, and 0.458%, respectively. Moreover, the results of panel Dumitrescu and Hurlin (D-H) non-causality test discovered the bidirectional causality relationship between financial development, technological innovations, renewable energy consumption, economic growth, and population size with the ecological footprint. These empirical findings provide some vital policy implications for central authority and policymakers to overcome the detrimental impact on environmental quality in the APEC region.

摘要

本文旨在利用 1990 年至 2017 年期间的平衡纵向数据集,分析技术创新、金融发展、可再生能源消费、经济增长和人口对亚太经合组织(APEC)国家生态足迹的影响。本研究通过主成分分析创建了一个新的技术创新指数,其中包括代表技术的三个重要指标,并采用了一致的环境框架,即人口、富裕和技术的随机影响回归(STIRPAT)模型。采用第二代面板估计技术计算稳健可靠的结果。在确认系列之间存在横截面相关性之后,面板单位根检验证实所有变量均在其第一阶整合阶平稳。此外,Westerlund 协整检验证实变量之间存在长期关联。研究结果表明,金融发展和可再生能源利用分别以 0.0927%和 0.4274%的速度显著促进了环境质量的提高。而技术创新活动、经济增长和人口规模的增加则分别以 0.099%、0.517%和 0.458%的速度对环境质量产生长期的不利影响。此外,Dumitrescu 和 Hurlin(D-H)非因果关系检验的结果发现,金融发展、技术创新、可再生能源消费、经济增长和人口规模与生态足迹之间存在双向因果关系。这些实证结果为中央政府和政策制定者提供了一些重要的政策建议,以克服 APEC 地区对环境质量的不利影响。

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