Yu Lei, Gao Xinwei, Lyu Junjie, Feng Yao, Zhang Shuliang, Andlib Zubaria
School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, China.
China Petroleum Engineering & Construction Corp. North China Company, Hebei, 062552, China.
Environ Sci Pollut Res Int. 2023 Feb;30(9):22702-22711. doi: 10.1007/s11356-022-23355-4. Epub 2022 Oct 27.
This study aims to investigate the impact of environmental-related taxes on green growth and CO2 emissions in China covering the time 1996-2019. To get the short- and long-run estimates, we have applied the bounds testing approach. Estimates of the study provide some important results. In the short run, environmental taxes and environmental policy stringency estimates are negatively significant in the CO2 emissions models and positively significant in the green growth models. Likewise, the long-run estimates attached to environmental taxes are significantly negative in the basic and robust CO2 emissions models while insignificant in the green growth models. However, the long-run estimates of environmental policy stringency are significantly negative in the basic and robust CO2 emissions models and significantly positive in the basic and robust green growth models. In general, our findings imply that an increase in environment-related taxes and strictness in environmental policies help reduce CO2 emissions and promote green growth in China.
本研究旨在考察1996 - 2019年期间与环境相关的税收对中国绿色增长和二氧化碳排放的影响。为了得到短期和长期估计结果，我们采用了边界检验方法。该研究的估计结果提供了一些重要结论。在短期内，环境税和环境政策严格性估计值在二氧化碳排放模型中具有显著负向影响，而在绿色增长模型中具有显著正向影响。同样，在基本和稳健的二氧化碳排放模型中，与环境税相关的长期估计值显著为负，而在绿色增长模型中则不显著。然而，在基本和稳健的二氧化碳排放模型中，环境政策严格性的长期估计值显著为负，而在基本和稳健的绿色增长模型中显著为正。总体而言，我们的研究结果表明，与环境相关的税收增加以及环境政策的严格性有助于减少中国的二氧化碳排放并促进绿色增长。
