摘要
为探究经济差距对长三角城市群经济高质量发展的影响,在厘清经济高质量发展影响因素的基础上,首先运用指数测算模型测度了2014—2020年长三角城市群经济高质量发展指数,然后用专利授权数刻画城市创新能力,利用面板模型考察了经济差距、城市创新能力与经济高质量发展之间的关系。研究结果表明:长三角城市群经济高质量发展水平持续走高,在发达城市的辐射带动下,部分落后地区经济发展增速较快;经济差距的存在抑制了经济高质量发展,且这种抑制作用在安徽地区与长三角边缘城市表现得更为明显;在影响机制上,经济差距带来的城市创新能力的差异间接影响了城市高质量发展水平。研究结果对城市在制定经济政策、缩小经济差距、提升高质量发展水平等方面具有一定的借鉴意义。
To explore the impact of economic disparities on the high-quality economic development of the Yangtze River Delta urban agglomeration,an index calculation model was first employed to measure the high-quality economic development index of the Yangtze River Delta urban agglomeration from 2014 to 2020,on the premise of clarifying the influencing factors of high-quality economic development.Then,the number of patent authorizations was used to characterize urban innovation ability,and a panel model was applied to examine the relationship among economic disparities,urban innovation ability,and high-quality economic development.The research results indicate that the high-quality economic development level in the Yangtze River Delta urban agglomeration continues to rise.Driven by the radiation of developed cities,some underdeveloped areas have a faster economic growth rate;the existence of economic disparities inhibits high-quality economic development,and this inhibitory effect is more evident in Anhui region and edge cities in the Yangtze River Delta;in terms of influence mechanism,the difference in urban innovation ability caused by economic disparities indirectly affects the high-quality development levels of cities.The results can be used as reference for cities in formulating economic policies,narrowing economic disparities,and improving high-quality development levels.
作者
鹿玉娇
章迪平
LU Yujiao;ZHANG Diping(School of Science,Zhejiang University of Science and Technology,Hangzhou 310023,Zhejiang,China)
出处
《浙江科技学院学报》
CAS
2023年第4期312-321,共10页
Journal of Zhejiang University of Science and Technology
基金
浙江省第四次经济普查课题(ZJPS28)
浙江省教育厅一般科研项目(研究生专项)(Y202146820)。
关键词
经济高质量发展
经济差距
城市创新能力
影响机制
面板回归
high-quality economic development
economic disparities
urban innovation ability
influence mechanism
panel regression