Spatiotemporal investigation and determinants of interprovincial innovation network from a multilayer network perspective

Abstract

ABSTRACT Technology cooperation and technology transfer can be beneficial for realising the flow of innovative resources and promoting technological progress and growth, which is crucial to achieving sustainable and coordinated economic development. We investigate the structural characteristics of interprovincial innovation multilayer network, also called technology cooperation and transfer network, including the technology cooperation sub-network and technology transfer sub-network. Data are derived from Patent Information Service Platform for 2008–2018. The results are as follows: (1) the two sub-networks and multilayer network show the increasing density, and all of those networks display large cluster coefficients and short average paths. The degree between different networks is highly relevant. GDP, indegree and outdegree are linearly related. (2) As the two sub-networks in different provinces become increasingly integrated, the core provinces control the flow in the network and the edge provinces surround the core provinces, indicating a clear ‘core-edge’ structure. (3) The exponential random graph model regression results demonstrate a significant ‘path dependence’ property for technology cooperation-transfer network. GDP, R&D, distance and railway freight flow have a significant impact on network format.