<p>With the increasing complexity of the current cooperation network between research institutions, there may be a large number of common partners among different research institutions. This article aims to explore the impact of technological proximity between collaborating research institutions and their common partners (TP-CICP) on the academic collaborative publications performance of inter-institutional scientific research cooperation from the perspective of local institutional collaborative networks, providing a reference for promoting scientific research performance. Based on 9211 collaborative publications in the field of cloud computing retrieved by CNKI, the propensity score matching method is used to analyze the impact of TP-CICP on the academic collaborative publication performance of inter-institutional scientific research cooperation. The results show that the TP-CICP is beneficial for improving the research publication performance of both parties involved in cooperation. In this regard, relevant authorities should strengthen comprehensive assessments throughout the process, leveraging TP-CICP to guide the development of the scientific community.</p>

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Analyzing the influence of technological proximity between research institutions and their common partners on performance of academic collaborative publications—evidence from Chinese cloud computing sector

  • Yuepeng Li

摘要

With the increasing complexity of the current cooperation network between research institutions, there may be a large number of common partners among different research institutions. This article aims to explore the impact of technological proximity between collaborating research institutions and their common partners (TP-CICP) on the academic collaborative publications performance of inter-institutional scientific research cooperation from the perspective of local institutional collaborative networks, providing a reference for promoting scientific research performance. Based on 9211 collaborative publications in the field of cloud computing retrieved by CNKI, the propensity score matching method is used to analyze the impact of TP-CICP on the academic collaborative publication performance of inter-institutional scientific research cooperation. The results show that the TP-CICP is beneficial for improving the research publication performance of both parties involved in cooperation. In this regard, relevant authorities should strengthen comprehensive assessments throughout the process, leveraging TP-CICP to guide the development of the scientific community.