普通合伙企业
职位(财务)
业务
经济地理学
社会网络分析
中心性
产业组织
地理距离
集合(抽象数据类型)
功能(生物学)
知识共享
知识管理
社会资本
区域科学
营销
经济
计算机科学
地理
人口
政治学
组合数学
进化生物学
社会学
法学
生物
程序设计语言
人口学
数学
财务
作者
Stefano Usaï,Emanuela Marrocu,Raffaele Paci
标识
DOI:10.1177/0160017615576079
摘要
Building on previous literature that provides extensive evidence concerning flows of knowledge generated by interfirm agreements, in this article, we aim to analyze how the occurrence of such collaborations is driven by multidimensional proximity among participants and by their position within firms’ networks. More specifically, we assess how the likelihood that two firms set up a partnership is influenced by their bilateral geographical, technological, organizational, institutional, and social proximity and by their position within networks. Our analysis is based on agreements in the form of joint ventures or strategic alliances, announced over the period 2005–2012, in which at least one partner is localized in Italy. We consider the full range of economic activities, which allows us to offer a general scenario and to investigate specifically the role of technological relatedness across different sectors. The econometric analysis, based on the logistic framework for rare events, provided three noteworthy results. First, all five dimensions of proximity jointly exert a positive and relevant effect in determining the probability of interfirm knowledge exchanges, signaling that they complement each other rather than function as alternative channels. Second, the highest impact on probability is due to technological proximity, followed by organizational, geographical, and institutional proximities, while social proximity has a limited effect. Third, we find evidence concerning the positive role played by networks, through preferential attachment effects, in enhancing the probability of interfirm agreements.
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