Economics, Süleyman Demirel University, Isparta, Turkey.
Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Portugal, Campus Universitário de Santiago, Departamento de Economia, Gestão, Engenharia Industrial e Turismo (DEGEIT), University of Aveiro, 3810-193, Aveiro, Portugal.
Environ Sci Pollut Res Int. 2020 Apr;27(12):13735-13772. doi: 10.1007/s11356-019-07371-5. Epub 2020 Feb 7.
International trade in connection with carbon dioxide (CO) emissions has been well studied, but export quality in this context has not widely been considered yet. Hence, in this study, we fill this gap by exploring the effects of export quality, economic growth, urbanization, trade openness, and total energy use on CO emissions in 63 developed and developing countries around the world. To achieve our objectives, we have used the recent techniques of panel quantile estimators as proposed in Powell (2016) and Canay. Econ J 14 (3): 368-386, (2011), along with several other estimation methods. Our overall empirical evidence shows that the existence of the Environmental Kuznets Curve (EKC) hypothesis depends heavily on the estimation method and on the development stage of the economies considered. Emissions are influenced by the same factors as in the EKC specification, as explored in sensitivity analysis. The results from the panel quantile regression model show that economic growth and total energy use are highly CO emissions conducive, while urbanization increases environmental degradation at the higher quantiles, as does export quality, depending on the countries' income levels. Consequently, improvements in export product quality should be prioritized through the production of cleaner products mainly in the lower and upper middle-income countries. There should also be a decrease in total energy use in countries of all income levels. Particularly, policy makers should promote a decrease in export products intensive of fossil fuel energy by prioritizing the use of more renewable energy sources.
国际贸易与二氧化碳(CO)排放的关系已得到充分研究,但出口质量在这方面尚未得到广泛考虑。因此,在本研究中,我们通过探索出口质量、经济增长、城市化、贸易开放度和总能源使用对全球 63 个发达国家和发展中国家 CO 排放的影响来填补这一空白。为了实现我们的目标,我们使用了 Powell(2016 年)和 Canay 提出的面板分位数估计器的最新技术,以及其他几种估计方法。我们的总体经验证据表明,环境库兹涅茨曲线(EKC)假说的存在在很大程度上取决于所考虑的经济的估计方法和发展阶段。排放受与 EKC 规范中探索的相同因素的影响,如敏感性分析所示。面板分位数回归模型的结果表明,经济增长和总能源使用对 CO 排放具有高度促进作用,而城市化在较高分位数上增加了环境恶化,出口质量也是如此,这取决于各国的收入水平。因此,应通过主要在中低收入国家生产更清洁的产品来优先提高出口产品质量。所有收入水平的国家都应减少总能源使用。特别是,政策制定者应通过优先使用更多可再生能源来促进减少出口产品对化石燃料能源的依赖。