智慧城市建设对城市绿色创新效率的直接影响与扩散效应——基于173个城市的"准自然实验"
The Direct and Spillover Effects of Smart City Policy on Urban Green Innovation Efficiency:A Quasi-natural Experiment Based on 173 Cities
吴鸣然 1黄卫东2
作者信息
- 1. 南京邮电大学管理学院,南京 210003
- 2. 信息产业融合创新与应急管理研究中心,南京 210003
- 折叠
摘要
基于2007-2020年中国173个地级市的数据构建城市经济地理权重矩阵,采用空间双重差分模型验证智慧城市政策对城市绿色创新效率的影响.研究发现:我国城市绿色创新的效率值呈现出波动上升趋势,但幅度较小.不同检验结果都表明,智慧城市政策可以有效激励城市绿色创新能力的提升,但激励作用主要来自于时间效应,而非个体效应.说明我国城市绿色创新效率的提高,更多来源于这段时期内我国经济和城市建设的飞速发展,而非国家的智慧城市试点政策.此外,智慧城市试点政策效应具有一定的滞后性.再者,从空间溢出效应来看,智慧城市政策对城市绿色创新效率的直接影响和空间溢出效应均为正,且较为均衡;从其他控制变量的表现来看,进一步优化产业结构,推动产业链升级,还需要一个更合理的区域统筹规划.
Abstract
Based on the data from 173 prefecture-level cities in China from 2007 to 2020,this paper constructs the urban e-conomic geographic weight matrix and uses the spatial differential model to verify the impact of smart city policies on the effi-ciency of urban green innovation.The results show that the efficiency of Chinese urban green innovation fluctuates,but the range is small.All test results show that smart city policies can effectively stimulate the improvement of urban green innova-tion capability,but the incentive effect mainly comes from the time rather than the individual.It shows that the improvement of urban green innovation efficiency mostly comes from the rapid development of Chinese economy and urban construction than smart city pilot policy.In addition,smart city pilot policies have a hysteresis effect.Moreover,from the perspective of the spatial spillover effect,both the direct and spillover effects of smart city policies on urban green innovation efficiency are positive and relatively balanced.From the performance of other control variables,our country needs to optimize industrial structure further,promote the upgrading of the industrial chain,and also need better regional overall planning.
关键词
智慧城市建设/绿色创新效率/DID/空间溢出Key words
smart city construction/green innovation efficiency/DID/spatial spillover引用本文复制引用
基金项目
国家自然科学基金(72171124)
国家自然科学基金(71771126)
江苏省高等学校哲学社会科学一般项目(2021SJA0107)
南京邮电大学人文社会科学研究项目(NYY220006)
出版年
2024
NETL
NSTL
万方数据