IDEAS home Printed from https://ideas.repec.org/a/eee/jetheo/v211y2023ics0022053123000716.html
   My bibliography  Save this article

Market areas in general equilibrium

Author

Listed:
  • Lanzara, Gianandrea
  • Santacesaria, Matteo

Abstract

This paper proposes a spatial model with a realistic geography where a continuous distribution of agents (e.g., farmers) engages in economic interactions with one location from a finite set (e.g., cities). The spatial structure of the equilibrium consists of a tessellation, i.e., a partition of space into a collection of mutually exclusive market areas. After proving the existence of a unique equilibrium, we characterize how the location of borders and, in the case with mobile labor, the set of inhabited cities change in response to economic shocks. To deal with a two-dimensional space, we draw on tools from computational geometry and from the theory of shape optimization. Finally, we provide an empirical application to illustrate the usefulness of the framework for applied work.

Suggested Citation

  • Lanzara, Gianandrea & Santacesaria, Matteo, 2023. "Market areas in general equilibrium," Journal of Economic Theory, Elsevier, vol. 211(C).
  • Handle: RePEc:eee:jetheo:v:211:y:2023:i:c:s0022053123000716
    DOI: 10.1016/j.jet.2023.105675
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0022053123000716
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jet.2023.105675?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen J. Redding & Esteban Rossi-Hansberg, 2017. "Quantitative Spatial Economics," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 21-58, September.
    2. Steven Berry & Amit Gandhi & Philip Haile, 2013. "Connected Substitutes and Invertibility of Demand," Econometrica, Econometric Society, vol. 81(5), pages 2087-2111, September.
    3. Alberto Alesina & Enrico Spolaore, 1997. "On the Number and Size of Nations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1027-1056.
    4. Henderson, J V, 1974. "The Sizes and Types of Cities," American Economic Review, American Economic Association, vol. 64(4), pages 640-656, September.
    5. Redding, Stephen J., 2016. "Goods trade, factor mobility and welfare," Journal of International Economics, Elsevier, vol. 101(C), pages 148-167.
    6. Fujita, Masahisa & Ogawa, Hideaki, 1982. "Multiple equilibria and structural transition of non-monocentric urban configurations," Regional Science and Urban Economics, Elsevier, vol. 12(2), pages 161-196, May.
    7. Treb Allen & Costas Arkolakis, 2014. "Trade and the Topography of the Spatial Economy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1085-1140.
    8. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    9. J. Vernon Henderson & Hyoung Gun Wang, 2005. "Aspects of the rural-urban transformation of countries," Journal of Economic Geography, Oxford University Press, vol. 5(1), pages 23-42, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Redding, Stephen & Nakajima, Kentaro & Miyauchi, Yuhei, 2021. "Consumption access and agglomeration: evidence from smartphone data," LSE Research Online Documents on Economics 114353, London School of Economics and Political Science, LSE Library.
    2. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, September.
    3. Rodrigo Adão & Costas Arkolakis & Federico Esposito, 2019. "General Equilibrium Effects in Space: Theory and Measurement," NBER Working Papers 25544, National Bureau of Economic Research, Inc.
    4. Redding, Stephen, 2021. "Suburbanization in the United States 1970-2010," CEPR Discussion Papers 16174, C.E.P.R. Discussion Papers.
    5. Takashi Akamatsu & Tomoya Mori & Minoru Osawa & Yuki Takayama, 2017. "Spatial Scale of Agglomeration and Dispersion: Theoretical Foundations and Empirical Implications," KIER Working Papers 974, Kyoto University, Institute of Economic Research.
    6. Rodrigo Ad'o & Costas Arkolakis & Federico Esp'sito, 2019. "Spatial Linkages, Global Shocks, and Local Labor Markets: Theory and Evidence," Cowles Foundation Discussion Papers 2163, Cowles Foundation for Research in Economics, Yale University.
    7. Stephan Heblich & Stephen J Redding & Daniel M Sturm, 2020. "The Making of the Modern Metropolis: Evidence from London," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2059-2133.
    8. Stephen J. Redding & Esteban Rossi-Hansberg, 2017. "Quantitative Spatial Economics," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 21-58, September.
    9. José M. Gaspar, 2018. "A prospective review on New Economic Geography," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 237-272, September.
    10. Nelson Lind & Natalia Ramondo, 2023. "Trade with Correlation," American Economic Review, American Economic Association, vol. 113(2), pages 317-353, February.
    11. Pablo Fajgelbaum & Cecile Gaubert, 2018. "Optimal Spatial Policies, Geography and Sorting," NBER Working Papers 24632, National Bureau of Economic Research, Inc.
    12. Pflüger, Michael & Tabuchi, Takatoshi, 2019. "Comparative advantage, agglomeration economies and trade costs," Journal of Urban Economics, Elsevier, vol. 109(C), pages 1-13.
    13. Pablo D. Fajgelbaum & Edouard Schaal, 2020. "Optimal Transport Networks in Spatial Equilibrium," Econometrica, Econometric Society, vol. 88(4), pages 1411-1452, July.
    14. Lorenzo Caliendo & Luca David Opromolla & Fernando Parro & Alessandro Sforza, 2021. "Goods and Factor Market Integration: A Quantitative Assessment of the EU Enlargement," Journal of Political Economy, University of Chicago Press, vol. 129(12), pages 3491-3545.
    15. Gaigné, Carl & Riou, Stéphane & Thisse, Jacques-François, 2016. "How to make the metropolitan area work? Neither big government, nor laissez-faire," Journal of Public Economics, Elsevier, vol. 134(C), pages 100-113.
    16. Farid Farrokhi, 2021. "Skill, Agglomeration, And Inequality In The Spatial Economy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 671-721, May.
    17. Benny Kleinman & Ernest Liu & Stephen J. Redding, 2023. "Dynamic Spatial General Equilibrium," Econometrica, Econometric Society, vol. 91(2), pages 385-424, March.
    18. Brooks, Leah & Gendron-Carrier, Nicolas & Rua, Gisela, 2021. "The local impact of containerization," Journal of Urban Economics, Elsevier, vol. 126(C).
    19. Redding, Stephen J. & Turner, Matthew A., 2015. "Transportation Costs and the Spatial Organization of Economic Activity," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1339-1398, Elsevier.
    20. Dávid Krisztián Nagy, 2021. "Quantitative Economic Geography Meets History: Questions, Answers and Challenges," Working Papers 1249, Barcelona School of Economics.

    More about this item

    Keywords

    Economic geography; Voronoi diagrams; Borders; Cities; Trade costs; General equilibrium;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jetheo:v:211:y:2023:i:c:s0022053123000716. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622869 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.