Tales of the city: what do agglomeration cases tell us about agglomeration in general?

This article considers the heterogeneous microfoundations of agglomeration economies. It studies the co-location of industries to look for evidence of labour pooling, input sharing and knowledge spillovers. The novel contribution of the article is that it estimates single-industry models using a com...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of economic geography 2020-09, Vol.20 (5), p.1117-1143
1. Verfasser: Faggio, Giulia
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1143
container_issue 5
container_start_page 1117
container_title Journal of economic geography
container_volume 20
creator Faggio, Giulia
description This article considers the heterogeneous microfoundations of agglomeration economies. It studies the co-location of industries to look for evidence of labour pooling, input sharing and knowledge spillovers. The novel contribution of the article is that it estimates single-industry models using a common empirical framework that exploits the cross-sectional variation in how one industry co-locates with the other industries in the economy. This unified approach yields evidence on the relative importance of the Marshallian microfoundations at the single-industry level, allowing for like-for-like cross-industry comparisons on the determinants of agglomeration. Using UK data, we estimate such microfoundation models for 97 manufacturing sectors, including the classic agglomeration cases of automobiles, computers, cutlery and textiles. These four cases—as with all of the individual industry models we estimate—clearly show the importance of the Marshallian forces. However, they also highlight how the importance of these forces varies across industries—implying that extrapolation from cases should be viewed with caution. The article concludes with an investigation of the pattern of heterogeneity. The degree of an industry’s clustering (localisation), entrepreneurship, incumbent firm size and worker education are shown to contribute to the pattern of heterogeneous microfoundations.
doi_str_mv 10.1093/jeg/lbaa007
format Article
fullrecord <record><control><sourceid>econis_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_jeg_lbaa007</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1740996410</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-a7420dbb973a46716864d067c5b90ee7563c68a605f49ec407b833694ee8092a3</originalsourceid><addsrcrecordid>eNpFj81Kw0AURgdRsFYXpS-QvcTeydzcmVlK8Q8Kbup6uDO9sSmpkUw2fXsrLbr6vsXhwFFqruFBgzeLnXwuusgMYC_URCO5srIaLv8-VNfqJucdgCascaJma-4kF31TjFspUjsebtVVw12Wu_NO1cfz03r5Wq7eX96Wj6syGYKxZIsVbGL01jCS1eQIN0A21dGDiK3JJHJMUDfoJSHY6IwhjyIOfMVmqu5P3jT0OQ_ShO-h3fNwCBrCb0041oRzzZEuTrSk_qvN_6xF8J5Qg_kBcMhFxQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Tales of the city: what do agglomeration cases tell us about agglomeration in general?</title><source>Oxford University Press Journals All Titles (1996-Current)</source><creator>Faggio, Giulia</creator><creatorcontrib>Faggio, Giulia</creatorcontrib><description>This article considers the heterogeneous microfoundations of agglomeration economies. It studies the co-location of industries to look for evidence of labour pooling, input sharing and knowledge spillovers. The novel contribution of the article is that it estimates single-industry models using a common empirical framework that exploits the cross-sectional variation in how one industry co-locates with the other industries in the economy. This unified approach yields evidence on the relative importance of the Marshallian microfoundations at the single-industry level, allowing for like-for-like cross-industry comparisons on the determinants of agglomeration. Using UK data, we estimate such microfoundation models for 97 manufacturing sectors, including the classic agglomeration cases of automobiles, computers, cutlery and textiles. These four cases—as with all of the individual industry models we estimate—clearly show the importance of the Marshallian forces. However, they also highlight how the importance of these forces varies across industries—implying that extrapolation from cases should be viewed with caution. The article concludes with an investigation of the pattern of heterogeneity. The degree of an industry’s clustering (localisation), entrepreneurship, incumbent firm size and worker education are shown to contribute to the pattern of heterogeneous microfoundations.</description><identifier>ISSN: 1468-2702</identifier><identifier>EISSN: 1468-2710</identifier><identifier>DOI: 10.1093/jeg/lbaa007</identifier><language>eng</language><ispartof>Journal of economic geography, 2020-09, Vol.20 (5), p.1117-1143</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-a7420dbb973a46716864d067c5b90ee7563c68a605f49ec407b833694ee8092a3</citedby><cites>FETCH-LOGICAL-c360t-a7420dbb973a46716864d067c5b90ee7563c68a605f49ec407b833694ee8092a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Faggio, Giulia</creatorcontrib><title>Tales of the city: what do agglomeration cases tell us about agglomeration in general?</title><title>Journal of economic geography</title><description>This article considers the heterogeneous microfoundations of agglomeration economies. It studies the co-location of industries to look for evidence of labour pooling, input sharing and knowledge spillovers. The novel contribution of the article is that it estimates single-industry models using a common empirical framework that exploits the cross-sectional variation in how one industry co-locates with the other industries in the economy. This unified approach yields evidence on the relative importance of the Marshallian microfoundations at the single-industry level, allowing for like-for-like cross-industry comparisons on the determinants of agglomeration. Using UK data, we estimate such microfoundation models for 97 manufacturing sectors, including the classic agglomeration cases of automobiles, computers, cutlery and textiles. These four cases—as with all of the individual industry models we estimate—clearly show the importance of the Marshallian forces. However, they also highlight how the importance of these forces varies across industries—implying that extrapolation from cases should be viewed with caution. The article concludes with an investigation of the pattern of heterogeneity. The degree of an industry’s clustering (localisation), entrepreneurship, incumbent firm size and worker education are shown to contribute to the pattern of heterogeneous microfoundations.</description><issn>1468-2702</issn><issn>1468-2710</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpFj81Kw0AURgdRsFYXpS-QvcTeydzcmVlK8Q8Kbup6uDO9sSmpkUw2fXsrLbr6vsXhwFFqruFBgzeLnXwuusgMYC_URCO5srIaLv8-VNfqJucdgCascaJma-4kF31TjFspUjsebtVVw12Wu_NO1cfz03r5Wq7eX96Wj6syGYKxZIsVbGL01jCS1eQIN0A21dGDiK3JJHJMUDfoJSHY6IwhjyIOfMVmqu5P3jT0OQ_ShO-h3fNwCBrCb0041oRzzZEuTrSk_qvN_6xF8J5Qg_kBcMhFxQ</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Faggio, Giulia</creator><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200901</creationdate><title>Tales of the city</title><author>Faggio, Giulia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-a7420dbb973a46716864d067c5b90ee7563c68a605f49ec407b833694ee8092a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faggio, Giulia</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Journal of economic geography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faggio, Giulia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tales of the city: what do agglomeration cases tell us about agglomeration in general?</atitle><jtitle>Journal of economic geography</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>20</volume><issue>5</issue><spage>1117</spage><epage>1143</epage><pages>1117-1143</pages><issn>1468-2702</issn><eissn>1468-2710</eissn><abstract>This article considers the heterogeneous microfoundations of agglomeration economies. It studies the co-location of industries to look for evidence of labour pooling, input sharing and knowledge spillovers. The novel contribution of the article is that it estimates single-industry models using a common empirical framework that exploits the cross-sectional variation in how one industry co-locates with the other industries in the economy. This unified approach yields evidence on the relative importance of the Marshallian microfoundations at the single-industry level, allowing for like-for-like cross-industry comparisons on the determinants of agglomeration. Using UK data, we estimate such microfoundation models for 97 manufacturing sectors, including the classic agglomeration cases of automobiles, computers, cutlery and textiles. These four cases—as with all of the individual industry models we estimate—clearly show the importance of the Marshallian forces. However, they also highlight how the importance of these forces varies across industries—implying that extrapolation from cases should be viewed with caution. The article concludes with an investigation of the pattern of heterogeneity. The degree of an industry’s clustering (localisation), entrepreneurship, incumbent firm size and worker education are shown to contribute to the pattern of heterogeneous microfoundations.</abstract><doi>10.1093/jeg/lbaa007</doi><tpages>27</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1468-2702
ispartof Journal of economic geography, 2020-09, Vol.20 (5), p.1117-1143
issn 1468-2702
1468-2710
language eng
recordid cdi_crossref_primary_10_1093_jeg_lbaa007
source Oxford University Press Journals All Titles (1996-Current)
title Tales of the city: what do agglomeration cases tell us about agglomeration in general?
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T08%3A34%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-econis_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tales%20of%20the%20city:%20what%20do%20agglomeration%20cases%20tell%20us%20about%20agglomeration%20in%20general?&rft.jtitle=Journal%20of%20economic%20geography&rft.au=Faggio,%20Giulia&rft.date=2020-09-01&rft.volume=20&rft.issue=5&rft.spage=1117&rft.epage=1143&rft.pages=1117-1143&rft.issn=1468-2702&rft.eissn=1468-2710&rft_id=info:doi/10.1093/jeg/lbaa007&rft_dat=%3Ceconis_cross%3E1740996410%3C/econis_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true