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Human-mobility networks, country income, and labor productivity

机译:人才流动网络,国家收入和劳动生产率

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摘要

This paper asks whether the level of integration of world countries in the international network of temporary human mobility can explain differences in their per-capita income and labor productivity. We disentangle the role played by global country centrality in the network from traditional openness measures, which only account for local, nearest-neighbor linkages through which ideas and knowledge can flow. Using 1995-2010 data, we show that global country centrality in the international temporary human-mobility network enhances both per-capita income and labor productivity. Our results hold cross-sectionally, as well as in a dynamic-panel estimation, and take into account potential endogeneity issues. Our findings imply that how close a country is to the theoretical technological frontier, depends not only on how much she is open to temporary human mobility, but mostly on whether she is embedded in a web of relationships connecting her with other influential partners in the network. Our exercises also suggest that most of the gain in income and productivity can be attained if country centrality in the network comes mostly from influential partners that lie not too far away from, but neither too close to them in the network.
机译:本文提出,世界各国在国际临时人员流动网络中的融合程度是否可以解释其人均收入和劳动生产率的差异。我们无法将全球国家中心在网络中扮演的角色与传统的开放性措施区分开来,传统的开放性措施仅说明了思想和知识可以通过其流动的本地,最近邻居的联系。使用1995-2010年的数据,我们显示出全球国家在国际临时人员流动网络中的中心地位可提高人均收入和劳动生产率。我们的结果在横截面以及动态面板估计中均得到考虑,并考虑到潜在的内生性问题。我们的研究结果表明,一个国家与理论技术前沿的距离有多近,不仅取决于她对临时人员流动的开放程度,还主要取决于她是否融入网络中,将自己与网络中其他有影响力的合作伙伴联系起来。我们的练习还表明,如果网络中的国家中心性主要来自有影响力的合作伙伴,而这些合作伙伴离网络不太远,但也不太接近网络,则可以实现大部分收入和生产率的提高。

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