城市的多样性及其在人力资本、创新网络等方面的优势使其成为科技创新的天然实验室,科技创新以其成果转化和产品应用使城镇化向持续、健康、智慧的方向发展,两者之间存在较强的互动关系。基于2005-2014年长江中游城市群28个城市的面板数据,本文运用PVAR模型对新型城镇化与科技创新间的关联性进行估计,结果显示：科技创新有助于新型城镇化的发展,且近期的科技创新对新型城镇化的影响程度为正,较远期的科技创新会对新型城镇化的发展产生反向效果；新型城镇化的发展有利于科技创新,远期影响为正,中期影响效应变为负,近期又会由负转正。即科技创新与新型城镇化之间的动态关联关系具有时滞性,前期两者之间的互动效应为负,随时间的推移两者之间的影响由负转正；且新型城镇化对科技创新的影响效应强于科技创新对新型城镇化的影响效应,两者的互动关系存在较强的区域差异性。

The diversity of cities and its advantages in human capital and innovation network make it a natural laboratory for scientific and technological innovation. The transformation of science and technology and the application of products make the development of urbanization sustainable, healthy and intelligent. There is a strong interaction between them. Based on the panel data of 28 prefecture-level cities of the urban agglomeration in the middle reaches of the Yangtze River from 2005 to 2014, this paper uses the PVAR model to estimate the interaction between new urbanization and scientific and technological innovation. The result shows that scientific and technological innovation is conducive to the development of new urbanization, and the impact of the recent technological innovation on new urbanization is positive, the longer-term scientific and technological innovation will have a reverse effect of new urbanization; new urbanization development has positive impact on scientific and technological innovation, the longer-term impact is positive, the medium-term impact becomes negative and the recent impact will turn from negative to positive, which means that there is a time lag in the interaction between scientific and technological innovation and new urbanization. The effect of new urbanization on scientific and technological innovation is stronger than the effect of scientific and technological innovation on new urbanization and there are regional differences.

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国家自然科学基金青年基金项目“中国地级以上城市科技资源配置效率的时空演化机理与空间效应研究”（41501141）；中国博士后科学基金特别资助项目“区域绿色科技资源配置效率的收敛机制与空间溢出效应”（2016T90710）；湖北省软科学面上项目“长江中游城市群创新供需系统的时空协同演化及政策模拟”（2016ADC068）；武汉市软科学重点研究项目“武汉建设具有全球影响力的科技创新中心改革发展路径研究”（2016040306010200）联合资助。