A Spatial Temporal Exploration of Factors Motivating Academia-Industry Collaboration

被引：0
作者：
Noman Arshed
Waqas Ahmad
Uzma Hanif
机构：
[1] University of Management and Technology,Department of Economics
[2] Forman Christian College University,Department of Economics
来源：
Journal of the Knowledge Economy | 2022年 / 13卷
关键词：
Multisector collaboration; Knowledge economy; Double loop learning; Triple loop learning; Transformational learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Academia-industry collaboration has an essential role in enhancing the level of innovation in university and industry and encouraging economic development. It has been cited useful many learning models like organizational learning and transformational learning. However, previous studies lacked empirical quantitative analysis of collaboration determining factors. This study explores the econometric investigation of how different business, institutional and economic factors explain university-industry collaboration at a national level for the 139 countries between 2007 and 2018. Feasible generalized least square method has been used to explore this panel data analysis, whereby the effects of variables are different for different income groups. The estimation outcomes will provide strategic policy roadmap in developing a multisectoral collaborative environment.
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页码：521 / 540
页数：19
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