Abstract

Considering the impact of science and technology resource allocation on regional innovation output, based on the inter-provincial panel data of 30 provinces in China from 1998 to 2017, this paper establishes a regional innovation output growth model, including science and technology resource input and science and technology resource allocation, and investigates the spatial relationship between regional innovation output and the allocation of science and technology resources, the effect of the inter-subjective configuration structure and inter-regional space re-allocation on regional innovation output. The research results show that there are obvious spatial autocorrelation agglomeration characteristics of China’s regional innovation output and science and technology resource input. The efficiency of the allocation of science and technology resources in the region is relatively low. The application-oriented research subjects with enterprise-oriented research are more efficient in investing in science and technology resources, and the promotion of regional innovation output is more significant. The investment in science and technology resources in neighboring provinces will have a significant inhibitory effect on the province’s innovation output. The regional mobility of science and technology resources has a significant role in promoting regional innovation output growth. The effect of science and technology personnel mobility on regional innovation output is better than that of technology capital flows.

Highlights

  • Long-term sustained economic growth is the result of technological advancement

  • The analysis reveals the efficiency of scientific and technological resource allocation in the regional innovation system and its impact on regional innovation output

  • Yit = Ait × Kiαt × Lβit × Ditγ where Y is the innovation output, A is the efficiency of the allocation of scientific and technological resources, K is the investment in research and development capital, L is the investment in research and development personnel, and D is the environmental factor affecting regional innovation, mainly considering foreign direct investment [16]

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Summary

Introduction

In the past 40 years, China’s economy has achieved unprecedented development results, but there are still deficiencies such as low quality, low efficiency, low innovation, and inefficient development of the real economy. This urgently requires China to change its traditional economic growth model, change the structure of economic growth, and improve the quality of economic development. The biggest contribution of this research is to study the flow of the resources of science and technology in space, for the regional innovation spillover effect, rather than discussing the validity of resources configuration of input and output efficiency of science and technology, and explore how to make science and technology resources of enterprises, universities, research institutions achieve in the space between optimization, promote the improvement of innovation, and reduce regional differences between innovation level.

Literature Review
Methodology
Adjacency Matrix
Distance Matrix
Data Source
Global Moran’s I Statistics
Empirical Test and Result Analysis
Inter-Regional Spatial Econometric Analysis Results
Findings
Discussion
Full Text
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