基地研究员孙宪明副教授合作论文Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model在Energy Economics发表

Abstract:：To empirically gauge the efficacy of energy policies, we propose a non-parametric method to investigate the relationship between economic growth and energy consumption from both time and space perspectives. Specifically, we rely on the local linear dummy variable estimation (LLDVE) method to explore the time-varying province-specific trends, the common trend, and the coefficients based on panel data from 26 provinces in China from 1995 to 2017. We find that the promotion effect of energy consumption on economic growth changes over time, as evidenced by the inverted U shape of the relationship. Moreover, the non-parametric model captures such an effect better than the parametric model. With the dual goals of sustainable economic growth and carbon emissions reduction in mind, we classify the sample according to the degree of carbon intensity, which indicates that energy efficiency should be improved in high-carbon development areas, while more attention should be paid to investment and innovations in low-carbon development areas.

Keywords: Credit market, Loan officer, Labor mobility, Information sharing

论文链接：https://www.sciencedirect.com/science/article/pii/S0140988322000378

教师简介

孙宪明，理学双博士，现任数字技术与现代金融学科创新引智基地执行副主任，中南财经政法大学金融工程系副教授，硕士研究生导师。获评湖北省“楚天学子”，中南财经政法大学“文澜青年学者”，主要研究兴趣有金融工程、金融科技及其相关领域。在Journal of Economic Dynamics and Control，Journal of Futures Markets，Journal of Computational and Applied Mathematics，Computational Economics，Statistics and Probability Letters等重要学术期刊发表论文10余篇。目前主持国家自然科学基金、中央高校基本科研业务经费项目等科研项目。相关研究曾获第十六届中国金融工程学年会优秀论文奖（2017）。