School of Economics and Management, Hubei University of Technology, Wuhan, Hubei, China.
Pakistan Institute of Development Economics (PIDE), Islamabad, Pakistan.
Environ Sci Pollut Res Int. 2023 Apr;30(19):57129-57141. doi: 10.1007/s11356-023-26299-5. Epub 2023 Mar 17.
Environmental taxes are deemed to be an important carbon mitigating factor and also encourage the producers to adopt environmentally friendly technologies. Therefore, the main objective of the analysis is to evaluate the environmental taxes on environmental innovations and carbon intensity in China. The novel quantile autoregressive distributed lag (QARDL) is applied to investigate the model empirically. From the results, we confer that the short and long run estimated coefficients of environmental taxes are positive and significant at most quantiles in the environmental innovation model, implying that the higher the rate of environmental taxes, the higher the rate of environment-related innovations. However, the estimates of environmental taxes are significant and negative in both short and long run at more than half quantiles in the carbon emissions model, suggesting the positive role of environmental taxes in reducing carbon emissions. In general, our findings imply that an increase in environment-related taxes helps reduce carbon intensity and promote environmental innovation in China. The study suggests that policymakers in China should promote environmental innovation and expand the environmental tax base to achieve the objective of carbon neutrality.
环境税被认为是一个重要的碳减排因素，也鼓励生产者采用环保技术。因此，分析的主要目的是评估中国的环境税对环境创新和碳强度的影响。本文采用新颖的分位数自回归分布滞后（QARDL）模型进行实证研究。结果表明，在环境创新模型中，环境税的短期和长期估计系数在大多数分位数上均为正且显著，这意味着环境税税率越高，与环境相关的创新率就越高。然而，在碳排放模型中，环境税的估计值在短期和长期均在一半以上的分位数上显著为负，表明环境税在减少碳排放方面发挥了积极作用。总的来说，我们的研究结果表明，增加与环境相关的税收有助于降低中国的碳强度并促进环境创新。本研究建议中国的政策制定者应促进环境创新和扩大环境税基，以实现碳中和的目标。
