Identifying agglomeration spillovers

evidence from million dollar plants

Identifying agglomeration spillovers
Michael Greenstone, Michael Gr ...
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Last edited by MARC Bot
December 22, 2020 | History

Identifying agglomeration spillovers

evidence from million dollar plants

"We quantify agglomeration spillovers by estimating the impact of the opening of a large new manufacturing plant on the total factor productivity (TFP) of incumbent plants in the same county. Articles in the corporate real estate journal Site Selection reveal the county where the "Million Dollar Plant" ultimately chose to locate (the "winning county"), as well as the one or two runner-up counties (the "losing counties"). The incumbent plants in the losing counties are used as a counterfactual for the TFP of incumbent plants in winning counties in the absence of the plant opening. Incumbent plants in winning and losing counties have economically and statistically similar trends in TFP in the 7 years before the opening, which supports the validity of the identifying assumption.After the new plant opening, incumbent plants in winning counties experience a sharp relative increase in TFP. Five years after the opening, TFP of incumbent plants in winning counties is 12% higher than TFP of incumbent plants in losing counties. Consistent with some theories of agglomeration, this effect is larger for incumbent plants that share similar labor and technology pools with the new plant. We also find evidence of a relative increase in skill-adjusted labor costs in winning counties, indicating that the ultimate effect on profits is smaller than the direct increase in productivity"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Cover of: Identifying agglomeration spillovers
Identifying agglomeration spillovers: evidence from million dollar plants
2008, National Bureau of Economic Research
Electronic resource in English

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Edition Notes

Title from PDF file as viewed on 6/13/2008.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 13833, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 13833.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL17087131M
LCCN
2008610530

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December 22, 2020 Edited by MARC Bot import existing book
December 10, 2009 Created by WorkBot add works page