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What causes industry agglomeration? : evidence from coagglomeration patterns

作者: Glenn Ellison; Edward L Glaeser; William R Kerr; National Bureau of Economic Research.
出版商: Cambridge, Mass. : National Bureau of Economic Research, 2007.
叢書: Working paper series (National Bureau of Economic Research), no. 13068.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
提要:
Many industries are geographically concentrated. Many mechanisms that could account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of coagglomeration and use data from the Census Bureau's Longitudinal Research Database from 1972 to 1997 to compute pairwise coagglomeration  再讀一些...
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資料類型: 文獻, 網際網路資源
文件類型 網際網路資源, 電腦檔案
所有的作者/貢獻者: Glenn Ellison; Edward L Glaeser; William R Kerr; National Bureau of Economic Research.
OCLC系統控制編碼: 123915483
描述: 1 online resource (1 volume).
叢書名: Working paper series (National Bureau of Economic Research), no. 13068.
責任: Glenn Ellison, Edward L. Glaeser, William Kerr.

摘要:

Many industries are geographically concentrated. Many mechanisms that could account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of coagglomeration and use data from the Census Bureau's Longitudinal Research Database from 1972 to 1997 to compute pairwise coagglomeration measurements for U.S. manufacturing industries. Industry attributes are used to construct measures of the relevance of each of Marshall's three theories of industry agglomeration to each industry pair: (1) agglomeration saves transport costs by proximity to input suppliers or final consumers, (2) agglomeration allows for labor market pooling, and (3) agglomeration facilitates intellectual spillovers. We assess the importance of the theories via regressions of coagglomeration indices on these measures. Data on characteristics of corresponding industries in the United Kingdom are used as instruments. We find evidence to support each mechanism. Our results suggest that input-output dependencies are the most important factor, followed by labor pooling.

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