IDEAS home Printed from https://ideas.repec.org/a/spr/eaiere/v17y2020i2d10.1007_s40844-020-00183-0.html
   My bibliography  Save this article

The evolution of the exchange process: from the decentralized to the distributed digital exchange

Author

Listed:
  • Yuji Aruka

    (Chuo University)

Abstract

There exists an ambiguous attitude in economic theory toward referring to the details of exchange mechanisms as a social system. To date, in classical theories, the main research target has been the exchange mechanism for commodities in general. Instead of studying the exchange of the broader social or community system, recently, much work has focused on auction mechanisms for particular goods in the context of experimental design. However, the advent of the community currency and crypto-currency suggests that we should study the feasibility and sustainability of the broader system. In this article, we will focus on systems of exchange with auctioneers and without auctioneers. We then examine the properties of bilateral exchange between randomly selected traders without auctioneers and explore the resulting properties of iterations of such transactions. Finally, we mention special issues of cryptocurrency in the face of the Byzantine General Problem and discuss a well-coordinated distributed system involving digital tools such as blockchain.

Suggested Citation

  • Yuji Aruka, 2020. "The evolution of the exchange process: from the decentralized to the distributed digital exchange," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 379-398, July.
  • Handle: RePEc:spr:eaiere:v:17:y:2020:i:2:d:10.1007_s40844-020-00183-0
    DOI: 10.1007/s40844-020-00183-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40844-020-00183-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40844-020-00183-0?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. Mirowski, Philip, 2007. "Markets come to bits: Evolution, computation and markomata in economic science," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 209-242, June.
    2. Yuji Aruka, 2024. "Interpreting the Iterated Dilemma Games by Using the Presentation Like “Cellular Automatons”," Springer Texts in Business and Economics, in: Evolutionary Economics, chapter 0, pages 57-72, Springer.
    3. Ingraham Allan T, 2005. "A Test for Collusion between a Bidder and an Auctioneer in Sealed-Bid Auctions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-32, September.
    4. Adrian Dragulescu & Victor M. Yakovenko, 2000. "Statistical mechanics of money," Papers cond-mat/0001432, arXiv.org, revised Aug 2000.
    5. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    6. Robert Axtell, 2005. "The Complexity of Exchange," Economic Journal, Royal Economic Society, vol. 115(504), pages 193-210, June.
    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. Makoto Nishibe, 2020. "Special issue “New Possibility of Cryptocurrencies and Digital-Community Currencies”," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 313-325, July.

    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. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    2. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    3. J. Barkley Rosser & Marina V. Rosser, 2017. "Complexity and institutional evolution," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 415-430, December.
    4. Julian Wells, Julian, 2007. "The rate of profit as a random variable," MPRA Paper 98235, University Library of Munich, Germany.
    5. Wright, Ian, 2009. "Implicit Microfoundations for Macroeconomics," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-27.
    6. Cockshott, Paul & Zachariah, David, 2014. "Conservation laws, financial entropy and the Eurozone crisis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-55.
    7. Lavička, H. & Lin, L. & Novotný, J., 2010. "Employment, Production and Consumption model: Patterns of phase transitions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1708-1720.
    8. N. Bagatella-Flores & M. Rodriguez-Achach & H. F. Coronel-Brizio & A. R. Hernandez-Montoya, 2014. "Wealth distribution of simple exchange models coupled with extremal dynamics," Papers 1407.7153, arXiv.org.
    9. Koppl, Roger, 2010. "Some epistemological implications of economic complexity," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 859-872, December.
    10. Klaus Jaffé, 2015. "Visualizing the Invisible Hand of Markets: Simulating Complex Dynamic Economic Interactions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 115-132, April.
    11. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    12. Bagatella-Flores, N. & Rodríguez-Achach, M. & Coronel-Brizio, H.F. & Hernández-Montoya, A.R., 2015. "Wealth distribution of simple exchange models coupled with extremal dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 168-175.
    13. Lux, Thomas, 2008. "Applications of statistical physics in finance and economics," Kiel Working Papers 1425, Kiel Institute for the World Economy (IfW Kiel).
    14. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    15. Victor M. Yakovenko, 2012. "Applications of statistical mechanics to economics: Entropic origin of the probability distributions of money, income, and energy consumption," Papers 1204.6483, arXiv.org.
    16. Klaus Jaffe, 2015. "Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus," Papers 1509.04264, arXiv.org, revised Nov 2015.
    17. Hutzler, S. & Sommer, C. & Richmond, P., 2016. "On the relationship between income, fertility rates and the state of democracy in society," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 9-18.
    18. Venkatasubramanian, Venkat & Luo, Yu & Sethuraman, Jay, 2015. "How much inequality in income is fair? A microeconomic game theoretic perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 435(C), pages 120-138.
    19. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    20. Hernández-Ramírez, E. & del Castillo-Mussot, M. & Hernández-Casildo, J., 2021. "World per capita gross domestic product measured nominally and across countries with purchasing power parity: Stretched exponential or Boltzmann–Gibbs distribution?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).

    More about this item

    Keywords

    Exchange with auctioneers; Exchange without auctioneers; Computational complexity; Blockchain; Byzantine generals problem; Distributed ledger technologies (DLT); Smart contract; P2P-based auction;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General

    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:spr:eaiere:v:17:y:2020:i:2:d:10.1007_s40844-020-00183-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.