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AGGLOMERATION, CONGESTION, AND U.S. REGIONAL DISPARITIES IN EMPLOYMENT GROWTH
Author(s) -
Saito Hisamitsu,
Wu JunJie
Publication year - 2016
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12204
Subject(s) - economies of agglomeration , economic geography , externality , human capital , lag , economics , margin (machine learning) , growth model , capital (architecture) , demographic economics , geography , economic growth , macroeconomics , microeconomics , archaeology , computer network , machine learning , computer science
Wide regional disparities exist in U.S. employment growth. To identify the causes of this disparities, we assess the relative contribution of locational characteristics to regional employment growth in the United States from 2001 to 2010 by estimating an employment growth model with the spatial‐lag effect. Results show that, at the margin, congestion effects dominate localized scale externalities in urban counties. A diverse industrial structure and rich human capital are the main factors that contribute to regional disparities in employment growth. Significant spatial‐lag effects indicate that spatial targeting and regional coordination are necessary to maximize the effectiveness of employment growth policies.