Agglomeration and Market Interaction

Jacques Thisse and Masahisa Fujita

No 3362, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: The most salient feature of the spatial economy is the presence of a large variety of economic agglomerations. Our purpose is to review some of the main explanations for this universal phenomenon, as they are proposed in urban economics and modern economic geography. We first show why the competitive framework can hardly be the foundation for the economics of agglomeration. We then briefly review the alternative modelling strategies. In the hope of making our Paper accessible to a broad audience, we present in detail the two (specific) models that have been used so far to study the spatial distribution of economic activities. Several extensions of these models are discussed in the subsequent section. We conclude with some suggestions for further research and policy implications.

Date: 2002-05
New Economics Papers: this item is included in nep-geo and nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://cepr.org/publications/DP3362 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

Related works:
Working Paper: Agglomeration and market interaction (2003)
Working Paper: Agglomeration and market interaction (2002)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:3362

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP3362

Access Statistics for this paper

More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().