【摘要】 基于我国30个省市(除西藏)2010-2019年的相关数据,从创新、协调、绿色、开放、共享以及质量效益等方面,估算30个省市的高质量发展程度。以全要素生产率、金融业比重为解释变量,产业升级为调节变量,使用Stata软件建立静态面板回归以及空间计量模型,分析这些因素对我国经济高质量发展的影响。格兰杰因果检验以及固定效应模型和空间误差模型分析结果表明:全要素生产率、金融业比重是高质量发展的格兰杰原因;全要素生产率、金融业比重以及产业升级对我国经济高质量发展有显著的促进作用;金融业比重对经济高质量发展的贡献最大,全要素生产率贡献次之,产业升级贡献最小。更多还原

【Abstract】 Based on the relevant data of 30 provinces and cities(except Xizang) in China from 2010 to 2019,the high-quality development degree of 30 provinces and cities in China was estimated from the aspects of innovation, coordination, green, openness, sharing and quality benefit.Taking total factor productivity and the proportion of financial industry as explanatory variables and industrial upgrading as moderating variables, Stata software is used to establish static panel regression and spatial econometric model to analyze whether these factors have a certain impact on the high-quality development of China’s economy.Through Granger causality test, fixed effect model and spatial error model analysis, the research results show that: total factor productivity, the proportion of financial industry is the Granger cause of high-quality development; Total factor productivity, the proportion of financial industry and industrial upgrading have a significant role in promoting the high-quality development of China’s economy.Among them, the financial sector contributed the most to high-quality economic development, followed by total factor productivity, and the least to industrial upgrading.更多还原