【摘要】 通过动态面板模型和系统矩估计方法对影响碳排放强度的因素进行研究。结果表明,碳排放强度具有显著动态效应,高碳排放省份的动态锁定效应不容忽视。人均GDP与产业结构对碳排放强度具有显著正向效应,环境库兹涅茨假说成立。研发投入对碳排放强度具有显著负向作用,而人口、能源结构和外商直接投资未产生显著作用。因此,优化产业结构和加大研发投入将是加速区域低碳转型的主要潜力方向,同时缓解高碳排放省份的动态锁定效应也是未来低碳转型的重要课题。更多还原

【Abstract】 This paper used dynamic panel data model and System-Generalized Method of Moments(SYS-GMM) to study influential factors affecting carbon emission intensity. Results are as follows: Carbon emission intensity has significant dynamic effect, dynamic locking-in effect of high carbon emission cannot be ignored. GDP per capita and the industrial structure are significant positive factors, environmental Kuznets hypothesis is supported. R&D input has a significant negative related to carbon emission intensity,but urban population ratio, energy structure and foreign investment are not significant. Therefore, optimize industrial structure and increasing investment in green technology research and development will be the main potential direction for China to accelerate regional low carbon transformation process.Relieving the dynamic locking-in effect in high carbon emission provinces is also a topic that needs attention for low carbon transformation in the future.更多还原