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Reconciling Parliamentary Size with Personalised Proportional Representation? Frontiers of Electoral Reform for the German Bundestag

Bibliographic Data

ID6262995
AuthorsPhilipp Weinmann (0000-0001-7744-5997), Florian Grotz (0000-0002-7512-2526)
Year2022
Volume31
Issue4
Pages558-578
Publication date2022-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGerman Politics (JOURNAL)
Journal identifiersISSN: 0964-4008 • E-ISSN: 1743-8993
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09644008.2020.1790531
OpenAlexW3044022497
LanguageEN
Citations received5
References cited22

In the 2017 Bundestag election, the recently reformed mixed-member proportional system (MMP) produced an enlarged parliament with 111 additional seats. As could happen in the future, the Bundestag may even increase in size, so the parliamentary parties committed themselves to a renewed reform in order to curb seat enlargements. This was nonetheless to be done without major changes of the existing MMP. The article analyses the frontiers of such "minimally invasive" reform. Each modification of "personalised PR" that reliably maintains the Bundestag size would compromise one or other of its fundamental features: personalisation or proportionality. We illustrate this by exploring the effects of various single-member district (SMD) reforms that are widely considered the "least harmful" minimally invasive approach. Comprehensive simulations based on survey data demonstrate that the SMD share would have to decrease substantially for maintaining parliamentary size as reliably as two-member districts would do. Thus, any SMD reform would either substantially affect the MMP's conventional personalisation or curb seat enlargement less effectively

Compromise · Economics · Electoral system · European union · Geography · German · International economics · Member states · Order (exchange · Parliament · Personalization · Political economy · Political science · Politics · Proportional representation · Proportionality (law · Representation (politics · Resizing · Computer Science · Law

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Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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