Abstract

Based on data reflecting 1202 technology business incubators (TBIs) in China from 2016 to 2018, this study measures the operating efficiency of TBIs in China through their use of the data envelopment analysis(DEA) and analyzes the impact of network tie strength, network size, and network centrality on the operating efficiency of TBIs through Tobit, while discussing differences among specific regions. The results demonstrate that the operating efficiency of TBIs in China is increasing. The average operating efficiency of TBIs in the eastern region has increased annually, reaching its highest levels in China in 2018. Moreover, the average operating efficiency of TBIs in the northeastern and western regions is low. Network size and network centrality have a significant positive impact on the overall operating efficiency of the TBI, and network tie strength has an inverted U-shape form of impact. The established time, size, nature, and reputation of TBIs have a significant positive impact on the operating efficiency of the TBI. In the western China, geographical location has a positive correlation with the operating efficiency of the TBI. However, in the northeastern region, the nature of the TBI has a negative correlation with the operating efficiency of the TBI. This is the first use of full sample data to study the operation efficiency of Chinese TBIs from the perspective of social networks.

Highlights

  • Since the establishment of the “Batavia Industrial Center” by American businessman Joseph Mancuso in 1959, technology business incubators (TBIs) have evolved and developed with the rise of novel and advanced technological industries in the world

  • This paper uses the Tobit regression model to study the relationship between the social network and operating efficiency of the TBI

  • Where yi refers to the operating efficiency of TBIs in China based on the Data envelopment analysis (DEA) model mentioned above, and yi* is the potential variable that satisfies the hypothesis: when yi*>1, yi*=1; when yi*≤0, yi*=0; and when 0

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Summary

Introduction

Since the establishment of the “Batavia Industrial Center” by American businessman Joseph Mancuso in 1959, technology business incubators (TBIs) have evolved and developed with the rise of novel and advanced technological industries in the world. Social networks can help TBIs establish ties (what connects A to B, e.g., A is friend with B = A is tied to B [6]) with other actors (social entities linked together according to a relationship [6]), so that other actors within the network may provide TBIs with resources such as technology, innovative ideas, and information This may be done to connect and integrate different actors’ ideas and entrepreneurial resources, stimulate TBIs to challenge existing knowledge and generate new ideas, and encourage TBIs to generate creativity and innovative solutions to help TBIs solve current issues and promote technological innovation. The issue of inter-regional differences is discussed, and the comparison depicts the prominent problems that exist throughout the different regions of China

TBI and Its Operating Efficiency
Social Networks and TBIs
Network Size and Operating Efficiency of the TBI
Network Centrality and Operating Efficiency of the TBI
Network Tie Strength and Operating Efficiency of the TBI
Data Sources
Theoretical Model
Index Selection
Research Method
Explanatory Variables
Control Variables
Regional Difference Analysis
Discussion and Conclusions
Limitations and Future
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