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How Do Energy Prices, and Labor and Environmental Regulations Affect Local Manufacturing Employment Dynamics? A Regression Discontinuity Approach
Author(s) -
Matthew E. Kahn,
Erin T. Mansur
Publication year - 2010
Publication title -
nber working paper series
Language(s) - English
Resource type - Reports
DOI - 10.3386/w16538
Subject(s) - regression discontinuity design , affect (linguistics) , discontinuity (linguistics) , econometrics , economics , regression , energy (signal processing) , regression analysis , labour economics , mathematics , statistics , mathematical analysis , philosophy , linguistics
Manufacturing industries differ with respect to their energy intensity, labor-to-capital ratio and their pollution intensity. Across the United States, there is significant variation in electricity prices and labor and environmental regulation. This paper uses a regression discontinuity approach to examine whether the basic logic of comparative advantage can explain the geographical clustering of U.S. manufacturing. Using a unified empirical framework, we document that energy-intensive industries concentrate in low electricity price counties, labor-intensive industries avoid pro-union counties, and pollution-intensive industries locate in counties featuring relatively lax Clean Air Act regulation. We use our estimates to predict the likely jobs impacts of regional carbon mitigation efforts.

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