Why lot? How sortition could help representative democracy
Maurizio Caserta,
Alessandro Pluchino,
Andrea Rapisarda and
Salvatore Spagano
Physica A: Statistical Mechanics and its Applications, 2021, vol. 565, issue C
Abstract:
In this paper we present a new analytical model of a Parliament and investigate the beneficial effects of the selection of legislators by lot in order to reduce some of the drawbacks of modern representative democracies. Resorting to sortition for the selection of public officers used to be in the past a popular way of taming factionalism in public affairs. Factionalism is assumed to be detrimental since public officers tend to favour their own faction instead of pursuing the general interest. In this respect our mathematical model shows in a rigorous way how it is possible to improve the efficiency of a Parliament by introducing the use of sortition to select part of its members. It will be shown that, starting from a Parliament working with two parties (or coalitions), where the costs of representative democracy are quite apparent through the detrimental effects of party discipline, one can beneficially move towards a Parliament where independent, randomly selected legislators sit alongside elected members. In particular, we show that increasing the number of independent legislators up to a critical point enhances the efficiency of the Parliament and puts into check the factionalism likely to arise from party discipline.
Keywords: Representative democracy; Parliament efficiency; Random strategies; Sortition; Factionalism (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437120307597
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
Related works:
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:eee:phsmap:v:565:y:2021:i:c:s0378437120307597
DOI: 10.1016/j.physa.2020.125430
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().