Abstract

Regional innovation is very important for the sustainable development of regional economies. Innovation development between regions is not independent, and there is spatial correlation in innovation spillover. This paper uses the total amount of regional patent authorization as the measure of regional innovation and uses network analysis to study the spatial relationships among different regions. An unstructured vector autoregressive model is established to determine whether there is an association between any two regions, the causal relationship between which is tested by a Granger causality test. Having established the spatial network relationship, network analysis is used to further analyze the overall characteristics of the network, the individual characteristics of the network, and the block model of the network. We find that the provinces are closely related regarding regional innovation spillovers. However, the spatial correlation between the provinces differs greatly. Also, there is an obvious hierarchy between blocks that have different orientations and functions. Finally, the relationship between the interior of each block differs greatly in closeness degree.

Highlights

  • Regional sustainable development refers to the sustainable development within a certain region, which is the concrete reflection of general sustainable development in the region

  • In 2016, the Chinese government made a clear demand for the country to change its economic growth model; that is, it is necessary to create a new engine of economic development and cultivate a new economic growth point which is innovation driven [3]

  • The gap between eastern and western regions has increased, which reflects differing regional innovation to a large extent. Does this mean that regional innovation accumulates and develops independently in each region, with no interrelations? Kauffeld-Monz used the method of network analysis to study the process of knowledge transfer between regions, which proved that regional innovation had spatial connection [6]

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Summary

Introduction

Regional sustainable development refers to the sustainable development within a certain region, which is the concrete reflection of general sustainable development in the region. The Chinese government has promulgated a series of policies and measures for patent protection and development, and provinces and municipalities have corresponding subsidization policies for patents All these measures have contributed greatly to the rapid growth of the number of patents in China. In view of the shortcomings of previous research, we use a new method—network analysis to study the network characteristics of spatial correlation in Chinese regional innovation. Network analysis is an interdisciplinary method for analyzing relational data and is widely used in many disciplines [7,8,9,10,11,12] This method is used to reveal the overall characteristics of the spatial structure of regional innovation spillovers among Chinese provinces and to analyze the location and influence of the provinces on the network based on the overall characteristics.

Literature Review
Aim
Network Analysis of Spatial Correlation in Regional Innovation Spillover
General Characteristics of Spatial Network
R3eceiving R7 elation
Conclusions
Implications and Limitations
Findings
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