Do Co-Worker Networks Increase or Decrease Productivity Differences?

被引:1
|
作者
Lorincz, Laszlo [1 ,2 ]
机构
[1] Corvinus Univ Budapest, Corvinus Inst Adv Studies, NET Lab, H-1093 Budapest, Hungary
[2] ANet Lab, Ctr Econom & Reg Studies, Inst Econom, H-1097 Budapest, Hungary
基金
匈牙利科学研究基金会;
关键词
labor mobility; co-worker networks; regional inequality; knowledge spillovers; agent-based simulation; SOCIAL NETWORKS; LABOR MOBILITY; WAGE DIFFERENTIALS; RETURN MIGRATION; KNOWLEDGE; SELECTION; UNEMPLOYMENT; GROWTH; FIRMS; SIZE;
D O I
10.3390/e23111451
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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 this enhanced mobility may contribute to levelling of differences. However, if mobility between regions involves movement costs, co-worker networks may concentrate locally-possibly contributing to the persistence of regional differences. In this paper, we build an agent-based model of labor mobility across firms and regions with knowledge spillovers that reflects key empirical observations on labor markets. We analyze the impact of network information provided about potential employers in this model and find that it contributes to increasing inter-regional mobility, and subsequently, to decreasing regional differences. We also find that both the density of coworker networks, as well as their regional concentrations, decrease if network information is available.
引用
收藏
页数:16
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