Abstract

In this paper the fairness of some methods of allocating seats in a proportional representation (PR) voting system is investigated. Different PR systems are in use throughout the democratic world, but the primary focus here is the method used in South Africa, namely the largest remainder method with a Droop quota. It is shown that as the number of parties increases, the number of lost votes (votes not used to allocate seats) increases when using this method. Other existing allocation methods are discussed and compared with each other as well as with three optimisation methods (based on mathematical programming) introduced in this paper. Applying these mathematical programming methods results in allocations that are more fair than the existing methods of seat allocation, if South African voting data are used. These mathematical models attempt to minimise a number of different measures of the deviation between the actual percentage of votes received and the percentage of seats allocated to a certain party. Ideally this deviation should be zero, but due to the discrete nature of seats this is virtually impossible to achieve.

Highlights

  • Proportional representation (PR) systems are a family of voting systems used in multiplewinner elections

  • The mathematical programming models that we present here use mixed integer programming to minimise the deviation caused by the discrete nature of the seats to be allocated

  • In the comparative case study that follows the seat allocations resulting from mathematical programming methods are compared to the LR method with the Droop quota (LRMD), currently used by South Africa, as well as to the other popular methods used to allocate seats in other countries

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Summary

Introduction

Proportional representation (PR) systems are a family of voting systems used in multiplewinner elections. The principle behind PR elections is that every vote deserves its representation in government and each political party involved should be represented in the legislature in proportion to its strength in the electorate. In typical PR systems there are multi-member districts [1] These districts may vary in size, as is the case in South Africa, where no two of the nine provinces are equal in size.

A short overview of existing seat allocation methods
Highest averages methods
The d’Hondt method
The Sainte-Lague method
Largest remainder methods
Allocation of seats in South Africa
Mathematical programming models for seat allocation
Minimisation of the maximum absolute deviation
Minimisation of total deviation
Quadratic goal programming
A comparative case study for South Africa
Findings
Conclusion and ideas for further study
Full Text
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