摘要
基于2010—2019年长三角地区27个中心城市的面板数据,利用熵值赋权法测度科技金融和经济高质量总体发展水平,并结合面板向量自回归(PVAR)模型实证分析了两者的交互关系。研究结果表明:2010—2019年,科技金融和经济高质量发展水平均有所提升,但增长的速度较慢,不同城市之间差距较为明显;各城市科技金融和经济高质量发展耦合协调度处于0.02~0.51,呈现波动上升的趋势;PVAR模型的结果显示,经济高质量发展和科技金融存在正向的交互作用,科技金融对经济高质量发展的影响程度更大,未来应进一步提高经济高质量发展对科技金融的反哺作用。
Based on the panel data of 27 central cities in the Yangtze River Delta from 2010 to 2019, the paper uses the entropy weight method to measure science and technology finance(TF) and the overall level of high-quality economic development, and to empirically analyze the interaction between the two aspects with the aid of the panel vector autoregression(PVAR) model. The findings show that:(1) From 2010 to 2019, both TF and high-quality economic development have increased, but the growth rate is slower and the gap among different cities is relatively obvious.(2) The coupling coordination degree of TF and high-quality economic development in each city ranges from 0.02 to 0.51, showing a fluctuating upward trend.(3) The results of the PVAR model show that there is a positive interaction between high-quality economic development and TF, and TF has greater impact on high-quality economic development. Therefore, it’s necessary to further improve the nurturing effect of high-quality economic development on TF.
作者
张士杰
赵世柯
ZHANG Shijie;ZHAO Shike(Office of Development and Planning,Anhui University of Finance and Economics,Bengbu,Anhui 233000,China;School of Economics,Anhui University of Finance and Economics,Bengbu,Anhui 233000,China)
出处
《山东科技大学学报(社会科学版)》
2022年第5期57-67,共11页
Journal of Shandong University of Science and Technology(Social Sciences)
关键词
经济高质量发展
科技金融
PVAR模型
长三角城市
high-quality economic development
science and technology finance
PVAR model
cities in the Yangeze River Delta