当代财经 ›› 2020, Vol. 0 ›› Issue (2): 14-26.

• 理论经济 • 上一篇    下一篇

长江经济带城市创新能力时空演变及驱动因素分析——基于流动人力资本视角

张利国, 冷浪平, 曾永明   

  1. 江西财经大学 经济学院/生态经济研究院,江西 南昌 330013
  • 收稿日期:2019-10-28 修回日期:2019-12-23 出版日期:2020-02-15 发布日期:2020-12-12
  • 通讯作者: 张利国,江西财经大学教授,博士生导师,农业经济管理博士,主要从事资源环境经济学研究,联系方式njlgzhang@163.com
  • 作者简介:冷浪平,江西财经大学博士研究生,主要从事城市创新管理研究;曾永明,江西财经大学讲师,博士后,主要从事空间经济学研究。
  • 基金资助:
    国家社会科学基金重大招标项目“长江经济带建设战略引领下沿江地区经济发展路径研究” (2015YZD16);江西省自然科学基金项目“鄱阳湖流域农村人口应对气候变化的脆弱性评估、适应机制与风险管控研究” (2018BAA208020);教育部人文社会科学基金项目“长江经济带流动人口时空格局演变及其对区域均衡发展的作用机制研究”(18YJC790006)

An Analysis of the Spatial-Temporal Evolution and Driving Factors of Urban Innovation Capability along the Yangtze River Economic Belt: From the Perspective of Flowing Human Capital

ZHANG Li-guo, LENG Lang-ping, ZENG Yong-ming   

  1. Jiangxi University of Finance and Economics, Nanchang 330013, China
  • Received:2019-10-28 Revised:2019-12-23 Online:2020-02-15 Published:2020-12-12

摘要: 基于流动人力资本视角和长江经济带的城市面板数据,运用空间探索性分析方法和空间计量模型,探究长江经济带城市创新能力时空分布格局及其驱动因素。研究发现,长江经济带城市创新能力存在明显经济关联性,即沿海城市强于内陆城市、省会城市强于非省会城市、长江“下游—中游—上游”梯度衰减;城市间创新能力正相关性不断增强,表现为沿海城市“高高集聚”和内陆城市“低低集聚”;城市创新能力存在显著的时空滞后性,即存在溢出效应和马太效应;总流动人力资本、省内流动人力资本和省外流动人力资本对城市创新能力具有显著的直接效应,是城市创新发展的重要推力;科技投入、外商投资和进出口贸易是影响城市创新能力的重要因素。

关键词: 城市创新能力, 时空演变, 驱动因素, 流动人力资本, 长江经济带

Abstract: Based on the urban panel data of Yangtze River Economic Belt and from the perspective of mobile human capital, this paper explores the spatial-temporal distribution pattern and its driving factors of urban innovation capacity along the Yangtze River Economic Belt by employing the spatial exploratory analysis method and the spatial econometric model. The findings show that there is a clear economic correlation among the urban innovation capabilities, i.e., the coastal cities have stronger innovation capabilities than inland cities, the provincial capital cities have stronger innovation capabilities than the non-provincial capital cities, and the urban innovation capacity declines in a gradient along the “downstream-middle-upstream” of the Yangtze River. The positive correlation among the inter-city innovation capabilities is continuously increasing, which is manifested as “high-high agglomeration” in coastal cities and “low-low agglomeration” in inland cities. Moreover, there is a significant time-space lag in urban innovation capacity, that is, the spillover effect and the Matthew effect. In addition, the total mobile human capital, the mobile human capital inside and outside of the province all have a significant direct effect on the urban innovation capability, which is an important thrust for urban innovation and development. Apart from these, science and technology input, foreign investment, import and export trade are also important factors affecting the urban innovation capacity.

Key words: urban innovation ability, time and space evolution, driving factors, flowing human capital, Yangtze River Economic Belt.

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