Title: Technology transfers to whom and why? TERGM analysis across regional green technology transfer network in China

Authors: Yufen Chen; Keping Wang

Addresses: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China ' School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China

Abstract: Building and improving the national green technology transfer system is significant for maintaining regional sustainable development. Based on the interprovincial green patent transfer data from 2006 to 2020, this paper constructs China's regional green technology transfer networks (CGTTNs) and studies the evolution of structural properties and the mechanisms of endogenous evolution. Results from social network analysis (SNA) and temporal exponential random graph model (TERGM) show the following. Firstly, the relationships within CGTTN are becoming increasingly close. However, the ability and efficiency of CGTTN organisations to use and integrate supplementary resources still need to be improved. Secondly, CGTTNs experience structural dependence effects, and the Matthew effect is obvious. The technology flow of CGTTNs has hierarchical characteristics but has not yet formed network clustering. Thirdly, CGTTNs have intertemporal dependence effects, and path dependence and path creation coexist. These findings help provide knowledge to accelerate the diffusion of regional green technology innovation.

Keywords: green technology transfer; social network analysis; SNA; temporal exponential random graph model; TERGM; endogenous evolution mechanism.

DOI: 10.1504/IJTM.2024.140255

International Journal of Technology Management, 2024 Vol.96 No.1/2/3, pp.64 - 93

Received: 29 Jun 2022
Accepted: 07 Mar 2023
Published online: 01 Aug 2024 *

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