能源技术创新在减少二氧化碳排放和保护环境方面扮演着至关重要的角色。本文把GDP作为控制因素,基于1996-2008年间中国大陆30个省市面板数据构建了动态面板数据模型,运用差分广义矩估计(DIF-GMM)方法研究能源技术专利与CO2排放之间是否存在因果关系。研究结果表明:能源技术专利、CO2排放及GDP之间存在长期均衡关系;短期内,从全国来看,能源技术专利降低碳排放的作用是有限的,并且在不同地区存在比较大的差异,除了西部地区外,东部和中部地区能源技术专利的增加均未显著地促进CO2排放的下降。
Energy technology innovation plays a crucial role in the reduction of CO2 emissions and environmental preservation. In order to explore whether there is causal relationship between energy technology patents and CO2 emissions, this paper considers GDP as a control variable and builds dynamic panel data model using difference GMM ( DIF - GMM) based on the data for 30 provinces in mainland China from 1996 to 2008. The results indicate that there are long - term equilibrium relationships among energy technology patents, COz emissions and GDP; in short -term, the role of energy technology patents in reducing COz emis- sions is limited in the national, and there are greater differences in different regions, energy technology patents have no significant effect on COz emissions reduction in eastern and central of China except for in western China.