School of Business, Zhengzhou University, 100 Kexue Road, Gaoxin District, Zhengzhou 450001, China.
School of Environment and Science Engineering, Shanghai Jiaotong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Int J Environ Res Public Health. 2021 Dec 21;19(1):4. doi: 10.3390/ijerph19010004.
With growing economic policy uncertainty (EPU) and the importance of protecting the natural environment worldwide, the relationship between EPU and carbon emissions should be investigated further. However, conclusions in the existing literature on the relationship between EPU and carbon emission are inconclusive. This paper aims to examine the influence of EPU on carbon emissions according to the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. To investigate such essential issues, we conduct GMM estimations by utilizing cross-country data covering 137 countries during the period 1970-2018, obtained from World Bank and OECD statistics. Our empirical estimations support that EPU would bring about more carbon emissions, while we conduct empirical analysis by changing the system of measurement, employing alternative estimation and constructing new samples. Our study provides substantial policy implications for government participation in international treaties on environmental protection to mitigate environmental degradation.
随着经济政策不确定性（EPU）的增加以及全球保护自然环境的重要性，有必要进一步研究 EPU 与碳排放之间的关系。然而，现有文献中关于 EPU 与碳排放之间关系的结论并不一致。本文旨在根据随机冲击回归人口、财富和技术（STIRPAT）模型，检验 EPU 对碳排放的影响。为了研究这些重要问题，我们利用世界银行和经合组织统计数据，在 1970 年至 2018 年期间，使用涵盖 137 个国家的跨国数据进行 GMM 估计。我们的实证估计支持 EPU 会带来更多的碳排放，而我们通过改变度量系统、使用替代估计和构建新样本来进行实证分析。我们的研究为政府参与环境保护国际条约以减轻环境退化提供了重要的政策启示。
