Labor pooling as an agglomeration factor: Evidence from the Brazilian Northeast in the 2002–2014 period

Edilberto Tiago de Almeida , Roberta de Moraes Rocha
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引用次数: 12

Abstract

This is a pioneering study of Brazil of the importance of labor pooling to explain industrial agglomeration in the Northeast of Brazil, employing firm-level microdata. We applied the theoretical model proposed by Krugman (1991) (labor market pooling model) with the adaptations by Overman and Puga (2010) to examine how firms react to shocks in the labor market that influence their productivity. For this purpose, we applied regression models in which we regressed the Ellison and Glaeser (1997) index as a function of a proxy for labor pooling, to capture exogenous shocks in the labor market while controlling for observed sector characteristics that vary in time and sector fixed effects. The results are consistent with a reduction in the level of industrial concentration in the period from 2002 to 2014. For labor pooling, as predicted, the role of the labor pooling variable is positive and significant.Thus, industries where, on average, plants face more idiosyncratic shocks relative to their industry are more spatially concentrated.

劳动力集聚作为集聚因素:2002-2014年巴西东北地区的证据
本文采用企业层面的微观数据,在巴西开创性地研究了劳动力集聚对解释巴西东北部产业集聚的重要性。我们运用克鲁格曼(1991)提出的理论模型(劳动力市场汇集模型)以及Overman和Puga(2010)的修正来研究企业如何应对影响其生产率的劳动力市场冲击。为此,我们应用回归模型,将Ellison和Glaeser(1997)指数作为劳动力汇集的代理函数进行回归,以捕捉劳动力市场中的外生冲击,同时控制观察到的随时间变化的部门特征和部门固定效应。这一结果与2002 - 2014年期间产业集中度的下降是一致的。对于劳动力池化,正如预测的那样,劳动力池化变量的作用是积极且显著的。因此,平均而言,工厂相对于其行业面临更多特殊冲击的行业在空间上更集中。
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CiteScore
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