摘要
本文运用动态随机前沿模型,测算了京津冀城市群13个城市2010—2018年的金融服务实体经济效率及其发展变化情况,并用"一步法"对相关影响因素进行了分析。研究表明,京津冀城市群金融服务实体经济效率均值偏低,大致呈"M"型变化趋势;金融服务实体经济的效率与政府干预、融资结构优化、技术创新显著正相关,但与金融业人力资源投入呈负相关。建议政府"因地施策"、减少金融业人力投入、深化金融市场改革、并促进技术创新和金融开放。
By using dynamic stochastic frontier method, this paper estimates the efficiency of finance supports for real economy in Beijing-Tianjin-Hebei 13 cities from 2010 to 2018, and carries out the empirical research on the relevant influencing factors. The results indicate that the overall efficiency value is low, showing a "M" type change trend roughly. The efficiency of financial support for the real economy is significantly positively related to government intervention, financing structure optimization and technological innovation, but negatively correlated with human capital investment in the financial industry. Government should "govern according to the local conditions", reduce the manpower input in the financial industry, deepen the reform of the financial market, and promote technological innovation and financial opening.
作者
谢朝阳
杨雪晴
XIE Zhaoyang;YANG Xueqing(Col.of Economics and Business Administration,North China Univ,of Tech.,100144,Beijing,China)
出处
《北方工业大学学报》
2021年第5期83-89,共7页
Journal of North China University of Technology
基金
北京市社会科学基金项目“基于机制设计理论的雄安新区承接北京非首都功能研究”(17YJB019)
北方工业大学毓优团队培养计划项目“京津冀地区生态环境协同发展研究”。
关键词
京津冀
金融服务实体经济效率
动态随机前沿模型
金融发展
政府干预
Beijing-Tianjin-Hebei
the efficiency of finance support for real economy
dynamic stochastic frontier model
financial development
government intervention
