z-logo
open-access-imgOpen Access
Determinants of Geographical Representation on Candidate Lists in Flexible-List Systems: Lessons from the Belgian Case
Author(s) -
Gert-Jan Put
Publication year - 2015
Publication title -
politics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.855
H-Index - 32
eISSN - 1467-9256
pISSN - 0263-3957
DOI - 10.1111/1467-9256.12089
Subject(s) - representation (politics) , selection (genetic algorithm) , geography , population , regional science , economic geography , political science , computer science , demography , sociology , politics , law , artificial intelligence
Based on a dataset of candidates from 488 party lists for Belgian lower house elections in the period 1987–2010, this contribution analyses the effects of electoral system-related and party-related determinants on the level of geographical representation on party lists. The results show that decentralised candidate selection methods lead to higher levels of geographical representation on the list in its entirety. With regard to realistic slots, it is found that the percentage of female candidates is negatively associated with geographical representation. Additionally, in districts where the largest city is dominant in terms of population size, it is more difficult for selectorates to realise geographical balance.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom