IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v287y2000i3p613-630.html
   My bibliography  Save this article

Simulating the coordination of individual economic decisions

Author

Listed:
  • Nowak, Andrzej
  • Kuś, Marek
  • Urbaniak, Jakub
  • Zarycki, Tomasz

Abstract

The model of dynamic social influence is used to describe the coordination of individual economic decisions. Computer simulations of the model show that the social and economic transitions occur as growing clusters of “new” in the sea of old. The model formulated at the individual level may be used to derive another one concerning the aggregate level. The aggregate level model was used to simulate spatio-temporal dynamics of the number of privately owned enterprises in Poland during the transition from centrally governed to the market economy. Analysis revealed the similarity between the model predictions and economic data.

Suggested Citation

  • Nowak, Andrzej & Kuś, Marek & Urbaniak, Jakub & Zarycki, Tomasz, 2000. "Simulating the coordination of individual economic decisions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 613-630.
    • Handle: RePEc:eee:phsmap:v:287:y:2000:i:3:p:613-630
    DOI: 10.1016/S0378-4371(00)00397-6
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437100003976
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(00)00397-6?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. Kacperski, Krzysztof & Hoł yst, Janusz A., 1999. "Opinion formation model with strong leader and external impact: a mean field approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(2), pages 511-526.
    2. Frank Schweitzer, 1998. "Modelling Migration and Economic Agglomeration with Active Brownian Particles," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 11-37.
    3. Ron Martin & Peter Sunley, 1996. "Paul Krugman's Geographical Economics and Its Implications for Regional Development Theory: A Critical Assessment," Economic Geography, Taylor & Francis Journals, vol. 72(3), pages 259-292, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anasua Chakraborty & Sujit Sikder & Hichem Omrani & Jacques Teller, 2022. "Cellular Automata in Modeling and Predicting Urban Densification: Revisiting the Literature since 1971," Land, MDPI, vol. 11(7), pages 1-19, July.
    2. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.
    3. Katarzyna Ostasiewicz & Michal H. Tyc & Piotr Goliczewski & Piotr Magnuszewski & Andrzej Radosz & Jan Sendzimir, 2006. "Integrating economic and psychological insights in binary choice models with social interactions," Papers physics/0609170, arXiv.org.

    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. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    2. Aspers, Patrik & Kohl, Sebastian & Power, Dominic, 2008. "Economic sociology discovering economic geography," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 9(3), pages 3-16.
    3. Boiscuvier, Éléonore, 2001. "Innovation, intégration et développement régional," L'Actualité Economique, Société Canadienne de Science Economique, vol. 77(2), pages 255-280, juin.
    4. Piotr Przybyła & Katarzyna Sznajd-Weron & Rafał Weron, 2014. "Diffusion Of Innovation Within An Agent-Based Model: Spinsons, Independence And Advertising," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-22.
    5. Fangye Du & Jiaoe Wang & Liang Mao & Jian Kang, 2024. "Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    6. Valentin Cojanu, 2012. "Beyond the ‘Nation State’: the Quest for New Territorial Paradigms in an Interconnected World Economy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(3), pages 498-511, March.
    7. Mark V. JANIKAS & Sergio J. REY, 2005. "Spatial Clustering, Inequality And Income Convergence," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 45-64.
    8. Breschi, Stefano & Lissoni, Francesco, 2001. "Knowledge Spillovers and Local Innovation Systems: A Critical Survey," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 10(4), pages 975-1005, December.
    9. Ronald W. Jones & Henryk Kierzkowski, 2018. "International Trade and Agglomeration: An Alternative Framework," World Scientific Book Chapters, in: International Trade Theory and Competitive Models Features, Values, and Criticisms, chapter 16, pages 263-279, World Scientific Publishing Co. Pte. Ltd..
    10. Schätzl Ludwig, 2003. "Zur Zukunft der Wirtschaftsgeographie in Deutschland," ZFW – Advances in Economic Geography, De Gruyter, vol. 47(1), pages 139-144, October.
    11. Ballinger, Clint, 2011. "Why Geographic Factors are Necessary in Development Studies," MPRA Paper 29750, University Library of Munich, Germany.
    12. W.A. NaudÈ & W.F. Krugell, 2003. "An Inquiry into Cities and their Role in Subnational Economic Growth in South Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 12(4), pages 476-499, December.
    13. Michael S. Dahl & Christian Ø.R. Pedersen, 2003. "Knowledge Flows through Informal Contacts in Industrial Clusters Myths or Realities?," DRUID Working Papers 03-01, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    14. Gordon Mulligan & Mark Partridge & John Carruthers, 2012. "Central place theory and its reemergence in regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 405-431, April.
    15. R. Church & J. C. Duque & D. E. Restrepo, 2020. "The p-Innovation ecosystems model," Papers 2008.05885, arXiv.org.
    16. 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.
    17. George Chorafakis, 2013. "The Knowledge Plexus [Paperback edition]," Vernon Press Titles in Economics, Vernon Art and Science Inc, edition 1, number 2.
    18. repec:rre:publsh:v:34:y:2004:i:1:p:11-36 is not listed on IDEAS
    19. Steven Pinch & Nick Henry, 1999. "Paul Krugman's Geographical Economics, Industrial Clustering and the British Motor Sport Industry," Regional Studies, Taylor & Francis Journals, vol. 33(9), pages 815-827.
    20. Serafeim Polyzos & Spyros Sofios, 2008. "Regional Multipliers, Inequalities and Planning in Greece," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 6(1), pages 53-77.
    21. Christian R. Østergaard, 2007. "Knowledge Flows Through Social Networks in a Cluster Interfirm versus University-Industry Contacts," DRUID Working Papers 07-19, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.

    More about this item

    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:phsmap:v:287:y:2000:i:3:p:613-630. 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.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.