美国和中国的交通、环境恶化与健康动态：基于 Bootstrap ARDL 和傅里叶函数的证据。
Transportation, Environmental Degradation, and Health Dynamics in the United States and China: Evidence From Bootstrap ARDL With a Fourier Function.
机构信息
School of Business Administration, Hubei University of Economics, Wuhan, China.
School of Business, Wuchang University of Technology, Wuhan, China.
出版信息
Front Public Health. 2022 Jun 29;10:907390. doi: 10.3389/fpubh.2022.907390. eCollection 2022.
Abstract
Transportation and environmental degradation, with indirect and direct effects, play a significant role in determining the health of a nation's citizens. This study uses bootstrap ARDL with a Fourier function to examine transportation, environmental degradation, and health dynamics in the United States and China. In the long run, the results support the cointegration relationship between transportation, environmental degradation, and health in both countries. The results show the contingency of the causality where a negative impact of transportation on environmental degradation exists in the United States while a positive impact exists in China. The effect of environmental degradation on health is negative in the United States while a positive effect exists in China. Regarding the causal direction between the variables of interest, the implications provide policymakers in developing strategy and policy for sustainable development.
摘要
交通与环境恶化通过间接和直接效应，对一国公民的健康状况起着重要作用。本研究使用带有傅里叶函数的自回归分布滞后模型，检验了美国和中国的交通、环境恶化和健康动态。从长期来看，结果支持两国交通、环境恶化和健康之间存在协整关系。结果表明，因果关系具有偶然性，在美国，交通对环境恶化有负面影响，而在中国则有正面影响。环境恶化对健康的影响在美国是负面的，而在中国则是正面的。关于感兴趣变量之间的因果方向，这些含义为制定可持续发展战略和政策的政策制定者提供了依据。
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