Abstract

The critical role of urban innovation in sustaining urban economic resilience has been widely acknowledged by scholars. Yet there is far from a full spectrum of understanding about how innovation performs, despite China’s innovation outputs having far outweighed most countries’. The perennial concern regarding the spatial patterns of innovation has been biased towards the macroscale, and long-standing efforts to explore the determinants of innovative vitality are focused on internal factors (e.g., research and development activities, and firm size). Considering these inadequacies, this research investigates how innovative activities are spatially distributed and how the pattern evolves in cities at the microscale, and examines influencing factors of the external environment. The patent data from 2000 to 2015 in Shanghai are geocoded and mapped into 1 km2 hexagon grids to identify local clustering. Gini coefficient is computed to show the high concentration of innovation activities across space. The hot spot analysis based on the Getis–Ord (Gi*) statistic shows that innovation exhibits a strong concentration propensity at the microscale and gradually moves toward a polycentric pattern. However, the extent of concentration decreases over the study period. Firms dictate innovation activities, and individuals and universities also play a role in downtown innovation growth. The regression using random effect model shows heterogeneous effects on different innovation actors. The overall urban innovation output, dominated by firms, is significantly influenced by public budget expenditures and green space areas. The science and technology grant has a positive impact on authorities but not university and research institutes. This research not only contributes to a methodological innovation for measuring and visualizing an innovation pattern but also enriches our understanding of spatial evolution and critical factors of innovation activities in urban China.

Highlights

  • In the post-crisis era, there has been a paradigm shift from sustainability to resilience discourse given that the latter provides a better fit for an imbalanced world

  • The results indicate that an increase in public budget expenditure and green space area can improve the performance of urban innovation output

  • This study provides a microscopic view of urban innovation outputs, which are critical for urban economic resilience to cope with “disturbance” in financial tsunamis

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Summary

Introduction

In the post-crisis era, there has been a paradigm shift from sustainability to resilience discourse given that the latter provides a better fit for an imbalanced world. China’s medium- and long-term plans for the development of S&T (2006–2020) and its policy package have prioritised large cities in the innovation race [18]. Against this backdrop, the current work deciphers the spatial heterogeneity and influential factors of Shanghai’s innovation using patents as proxy. Patents are incapable of representing all-type innovation given that patents are frequently viewed as output of high-tech industries, e.g., IT, medicine, biotechnology and aerospace. It maps the spatiotemporal evolution of the innovation landscape from 2000 to 2015. Regression analysis is conducted to test the impact of various social, economic, environmental and institutional factors on the innovation process

Spatial Characteristics of Urban Innovation
Influential Factors of Urban Innovation
Study Area and Data
Regression Analysis of Innovation–Urban Development Relations
Characterising Innovation in Urban Space
Conclusions
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