School of Economics and Management, Xinjiang University, Wulumuqi, Xinjiang, 830046, China; School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, China.
School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, China.
Environ Res. 2023 Jan 1;216(Pt 3):114637. doi: 10.1016/j.envres.2022.114637. Epub 2022 Oct 23.
Achieving carbon neutral requires a comprehensive understanding of the effect of different key factors on carbon emissions. To this end, this study investigates the effect of trade openness, human capital, renewable energy and natural resource rent on carbon emissions within the framework of the environmental Kuznets curve (EKC) hypothesis. Second-generation econometric tests, Generalized Method of Moments and Fully Modified Ordinary Least Squares estimator were developed based on the aggregated dataset of 208 countries from 1990 to 2018. The results show that (i) the EKC hypothesis is validated when the effects of trade openness, human capital, renewable energy consumption, and natural resource rents are considered. The relationship between income level and carbon emissions shows an "inverted U-shaped" curve at the global level. Besides, the real GDP per capita corresponding to the EKC turning point is 19,203$. (ii) Renewable energy consumption and human capital have heterogeneous effects on carbon emissions in before- and after-EKC turning points. Specifically, renewable energy consumption has a better emission reduction effect for countries before the EKC turning point, with effects of -0.4334 and -0.1598, respectively; human capital has a better emission reduction effect for countries after the EKC turning point, with effects of -0.6311 and -0.3398, respectively.(iii) the mitigation effect of trade openness on carbon emissions is only effective in countries with weak decoupling after EKC turning points, with a mitigating effect of -0.0615. However, natural resource rents increase carbon emissions in most countries.
实现碳中和需要全面了解不同关键因素对碳排放的影响。为此,本研究在环境库兹涅茨曲线(EKC)假说框架内,考察了贸易开放、人力资本、可再生能源和自然资源租金对碳排放的影响。基于 1990 年至 2018 年 208 个国家的综合数据集,开发了第二代计量经济学检验、广义矩方法和全修正最小二乘估计器。结果表明:(i)当考虑贸易开放、人力资本、可再生能源消费和自然资源租金的影响时,EKC 假说得到验证。全球层面上,收入水平与碳排放之间的关系呈“倒 U 型”曲线。此外,EKC 转折点对应的实际人均 GDP 为 19203 美元。(ii)可再生能源消费和人力资本对 EKC 转折点前后的碳排放具有异质性影响。具体而言,在 EKC 转折点之前,可再生能源消费对各国的减排效果更好,其效应分别为-0.4334 和-0.1598;在 EKC 转折点之后,人力资本对各国的减排效果更好,其效应分别为-0.6311 和-0.3398。(iii)贸易开放对碳排放的缓解作用仅在 EKC 转折点后弱脱钩的国家中有效,缓解效应为-0.0615。然而,自然资源租金在大多数国家增加了碳排放。