Natural resources, population aging, and environmental quality: analyzing the role of green technologies

被引:0
作者
Xiyue Yang
Nan Li
Mahmood Ahmad
Hailin Mu
机构
[1] Dalian University of Technology,Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power
[2] Shandong University of Technology,Business School
来源
Environmental Science and Pollution Research | 2022年 / 29卷
关键词
Natural resources; Population aging; Ecological footprint; CS-ARDL; Quantile regression;
D O I
暂无
中图分类号
学科分类号
摘要
Depletion of natural resources and population aging are the two most critical challenges for environmental sustainability. However, the research that integrates natural resources and population aging in the same environmental policy framework is still scant. Therefore, this study investigates the linkage between natural resources, population aging, green technologies, and ecological footprint (EF) of G7 countries. In addition, this study also explores the moderating effects of green technologies on the relationship between natural resources and EF. Drawing on the panel times series data from 1970 to 2017, we employ a cross-sectional autoregressive distributed lags (CS-ARDL) model for short- and long-run empirical estimation. Our empirical analysis indicates that natural resource use exacerbates ecological degradation by increasing EF. By contrast, population aging and green technologies present positive ameliorative effects on EF. Interestingly, the interaction effect of green technologies and natural resources indicates that the damage to ecological quality from natural resources can be effectively improved by means of green technologies, thus maintaining environmental sustainability. Furthermore, the results of panel quantile regression show that the effects of population aging and green technologies on the overall ecological footprint distribution in G7 countries are heterogeneous, while the effects of natural resources on the distribution of all conditions of the ecological footprint are positive. In addition, this paper verifies the causal relationship between the variables using the Dumitrescu and Hurlin test. The findings reveal that the relevant changes in all explanatory variables are bilaterally causally associated with EF. Based on these results, this paper provides some feasible policy recommendations.
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页码:46665 / 46679
页数:14
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