2021
DOI: 10.3390/e23111451
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Do Co-Worker Networks Increase or Decrease Productivity Differences?

Abstract: Do labor mobility and co-worker networks contribute to convergence or divergence between regions? Based on the previous literature, labor mobility contributes to knowledge transfer between firms. Therefore, mobility may contribute to decreasing productivity differences, while limited mobility sustains higher differences. The effect of co-worker networks, however, can be two-fold in this process; they transmit information about potential jobs, which may enhance the mobility of workers—even between regions—and t… Show more

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Cited by 2 publications
(2 citation statements)
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“…Researchers have used different methods to comparatively analyze the propagation of systematic financial risk under different scenarios and found a strong hierarchical structure. Garas [11] and Huang et al [12][13][14] modeled the business cycle dynamics for systemic riskiness to assess the likelihood of failure of financial institutions at different levels and argue that the failure of a single entity in it triggers a series of failures in the system, i.e., the failure of one or more financial institutions leads to the propagation of systematic financial risk on a larger scale. Battiston et al [15,16] introduce degree centrality in networks to compare different financial institutions and propose a new centrality measure DebtRank, which further extends the idea of centrality in networks, the impact of different levels of nodes on the network can be seen more clearly.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Researchers have used different methods to comparatively analyze the propagation of systematic financial risk under different scenarios and found a strong hierarchical structure. Garas [11] and Huang et al [12][13][14] modeled the business cycle dynamics for systemic riskiness to assess the likelihood of failure of financial institutions at different levels and argue that the failure of a single entity in it triggers a series of failures in the system, i.e., the failure of one or more financial institutions leads to the propagation of systematic financial risk on a larger scale. Battiston et al [15,16] introduce degree centrality in networks to compare different financial institutions and propose a new centrality measure DebtRank, which further extends the idea of centrality in networks, the impact of different levels of nodes on the network can be seen more clearly.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They can positively affect individual labor market outcomes: they may increase the chance of finding suitable vacancies (Dustmann et al, 2016), enhance the quality of the newly acquired jobs or promote career advancement (Podolny and Baron, 1997;Lutter, 2015). At the same time, they might influence firm-level outcomes as well: informal ties can facilitate knowledge sharing within teams (Wei, Zheng and Zhang, 2011;Tortoriello, Reagans and McEvily, 2012), accelerate the creation and diffusion of innovation (Rost, 2011), enhance the productivity within teams (Fernandez, Castilla and Moore, 2000;Afridi et al, 2020), or even contribute to firm-level (Boschma, Eriksson and Lindgren, 2008) and regional productivity growth (Lengyel and Eriksson, 2016;Eriksson and Lengyel, 2019;Lengyel et al, 2021;Lőrincz, 2021).…”
Section: Introductionmentioning
confidence: 99%