PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (1): 147-160.doi: 10.18306/dlkxjz.2021.01.014

• Typical Cases of Rural-Urban Integration Development • Previous Articles     Next Articles

Economic spillover effects and convergence patterns of urban innovation input features in the Yangtze River Delta region

SUN Biao1,2(), YANG Shan1,2,*()   

  1. 1. School of Geographical Science, Nanjing Normal University, Nanjing 210023, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2020-04-17 Revised:2020-11-03 Online:2021-01-28 Published:2021-03-28
  • Contact: YANG Shan E-mail:sunbiaoyf@163.com;yangshan@njnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41771171)

Abstract:

In recent years, urban innovation input feature has played an increasingly role in the economic integration process of the Yangtze River Delta. This study used the spatial econometric model and Markov chain to measure the economic spillover effects of innovation input feature based on the spatial panel data of cities in the Yangtze River Delta from 2010 to 2017, and revealed the impact of innovation spillovers on the pattern of regional economic convergence under the economic integration of the Yangtze River Delta. The main conclusions are as follows: 1) The innovation features and economic growth of the Yangtze River Delta show strong spatial agglomeration characteristics, the trend of Moran's I value of innovation input feature and economic growth are similar, and the Moran's I value of innovation output feature shows an unstable trend in time series. Both innovation input and output features have positive effects on economic growth. 2) From the global view, the innovation input feature has a significant spillover effect on regional economic growth, and the spillover effect of innovation input feature is greater than the direct effect, suggesting that innovation investment will affect the pattern of economic integration development of the Yangtze River Delta; while the spatial spillover effect of the innovation output feature is not significant. 3) From the local view, cities adjacent to higher levels of innovation input are positive for economic growth by local positive spillover, and cities adjacent to lower levels of innovation input are negative for economic growth by local negative spillover. Under the spillover effects of innovation input feature, the economic growth of the Yangtze River Delta region has formed a "club convergence" phenomenon, and the spatial pattern of the regional economic structure is changing from a high level convergence in the center of the Yangtze River Delta to a low level convergence in the periphery. 4) The cities with economic growth type transferred are mainly concentrated at the provincial boundaries, showing complex transfer mechanisms under the effect of local spillovers. The developed regions and the developing regions tend to be stable and have obvious inertia of spatial transfer, and the spillover effect of innovation will exacerbate the Matthew effect of economic growth in the Yangtze River Delta. Based on the results of the analysis that innovation spillovers promote club convergence of economic growth, this study proposed specific recommendations for the development of regional integration in the Yangtze River Delta.

Key words: innovation spatial spillover, economic growth patterns, spatial X Markov chain, club convergence, Yangtze River Delta