Does innovation facilitate meeting the CO2 emission reduction targets of China: A non-linear approach

Yifan Wang , Nadia Doytch , Mohamed Elheddad , Wei Li , Mengna Chi
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Abstract

China has been implementing energy efficiency and CO2 emission reduction schemes at the provincial level that have been embedded in the National Five Year Plans of the country. We set out to investigate the relationship between R&D expenditures and CO2 emissions in China at the province level in the context of the planned emissions reduction targets. We explore the possibility of the existence of a non-linear relationship between R&D expenditures and CO2 emissions with a non-parametric methodology, a fixed effect panel data quantile (FEQR) regression estimator applied to a panel of 30 provinces. We stratify the sample according to the five emissions reduction target tiers of the 12th Five-Year National Plan of China and we investigate the role of R&D expenditures in emissions reduction within each of the tiers. We find an inverse U relationship with different turning points for the three middle tiers and a U-shaped relationship for the tier under the most stringent environmental regulation. We find no effect in the tier with the least stringent emissions reduction targets. A further investigation shows that the above results are attributed to sectors with relatively low energy intensity and not to the sectors of heavy industry. The results allow us to draw broad conclusions about the effectiveness of investment in new technologies as a means of meeting the CO2 targets in China.

创新是否有助于实现中国的二氧化碳减排目标?非线性方法
中国一直在省级层面实施节能和二氧化碳减排计划,并将其纳入国家五年计划。在计划减排目标的背景下,我们着手研究中国省一级研发支出与二氧化碳排放量之间的关系。我们采用非参数方法--固定效应面板数据量化(FEQR)回归估计器,对 30 个省的面板数据进行了估计,以探讨研发支出与二氧化碳排放量之间存在非线性关系的可能性。我们根据中国 "十二五 "国家规划的五个减排目标层级对样本进行了分层,并研究了每个层级中研发支出在减排中的作用。我们发现,中间三个层级的研发支出呈不同转折点的反 U 型关系,而环境监管最严格的层级的研发支出呈 U 型关系。在减排目标最不严格的层级中,我们没有发现任何影响。进一步的调查表明,上述结果归因于能源强度相对较低的部门,而不是重工业部门。通过这些结果,我们可以对新技术投资作为实现中国二氧化碳减排目标的一种手段的有效性得出大致结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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