摘要
利用碳排放量和碳汇量构建碳锁定系数模型,测度中国30个省区市2007-2016年碳锁定程度;构建空间面板模型,实证检验影响碳锁定程度的关键因素,并利用一阶差分GMM解决变量内生性问题,以避免估计结果不稳健。实证结果表明,中国省域碳锁定存在明显的空间溢出效应,城镇化、地区建设、交通运输和对外开放是导致中国碳锁定程度加深的重要因素;考虑内生性问题后,创新能力和环境规制能够有效减缓中国碳锁定程度的加深。
The paper uses carbon emissions and carbon sinks to build a carbon locking coefficient model to measure the carbon locking degree of 30 provinces and cities in China in 2007-2016;building a spatial panel model to empirically test the key factors affecting the carbon locking degree, and using the first-order differential GMM to solve the endogenous problem of variables, in order to avoid the estimation results are not robust. The empirical results show that: China’s provincial carbon lock-in has obvious spatial spillover effect, urbanization, regional construction, transportation and opening-up are important factors that lead to the deepening of China’s carbon lock-in degree;considering the endogenous problems, innovation ability and environmental regulation can effectively reduce the deepening of China’s carbon lock-in degree.
作者
孙丽文
赵鹏
李少帅
杜娟
Sun Liwen;Zhao Peng;Li Shaoshuai;Du Juan(School of Economics and Management,Hebei University of Technology,Tianjin 300401,China)
出处
《科技管理研究》
CSSCI
北大核心
2020年第3期225-232,共8页
Science and Technology Management Research
基金
河北省社会科学基金项目“低碳经济背景下我省工业绿色转型进程及发展路径研究”(HB18YJ021)
关键词
碳锁定
空间计量
一阶差分GMM
碳解锁
carbonlock-in
spatial measurement
first order differential GMM
carbon unlock