Effective number of parties
The effective number of parties is a concept introduced by Laakso and Taagepera (1979) which provides for an adjusted number of political parties in a country's party system. The idea behind this measure is to count parties and, at the same time, to weight the count by their relative strength. The relative strength refers to their vote share ("effective number of electoral parties") or seat share in the parliament ("effective number of parliamentary parties"). This measure is especially useful when comparing electoral systems across countries, as is done in the field of political science. The number of parties equals the effective number of parties only when all parties have equal strength. In any other case, the effective number of parties is lower than the actual number of parties. The effective number of parties is a frequent operationalization for the fragmentation of a party system.
There are two major alternatives to the effective number of parties-measure. John K. Wildgen's index of "hyperfractionalization" accords special weight to small parties. Juan Molinar's index gives special weight to the largest party. Dunleavy and Boucek provide a useful critique of the Molinar index.
Where n is the number of parties with at least one vote/seat and the square of each party’s proportion of all votes or seats. The proportions need to be normalised such that, for example, 50 per cent is 0.5 and 1 per cent is 0.01. This is also the formula for the inverse Simpson index, or the true diversity of order 2.
An alternative formula proposed by Golosov (2010) is
which is equivalent - if we only consider parties with at least one vote/seat - to
Here, n is the number of parties, the square of each party’s proportion of all votes or seats, and is the square of the largest party’s proportion of all votes or seats.
The following table illustrates the difference between the values produced by the two formulas for eight hypothetical vote or seat constellations:
|Constellation||Largest component, fractional share||Other components, fractional shares||N, Laakso-Taagepera||N, Golosov|
|B||0.75||0.1, 15 at 0.01||1.74||1.42|
|D||0.55||3 at 0.1, 15 at 0.01||2.99||2.24|
|F||0.35||5 at 0.1, 15 at 0.01||5.75||4.49|
|G||0.15||5 at 0.15, 0.1||6.90||6.89|
|H||0.15||7 at 0.1, 15 at 0.01||10.64||11.85|
- Lijphart, Arend (1999): Patterns of Democracy. New Haven/London: Yale UP
- Arend Lijphart (1 January 1994). Electoral Systems and Party Systems: A Study of Twenty-seven Democracies, 1945-1990. Oxford University Press. p. 69. ISBN 978-0-19-827347-9.
- "The Measurement of Hyperfractionalization". Cps.sagepub.com. 1971-07-01. Retrieved 2014-01-05.
- Molinar, Juan (1 January 1991). "Counting the Number of Parties: An Alternative Index". The American Political Science Review. 85 (4): 1383–1391. doi:10.2307/1963951. JSTOR 1963951.
- P. Dunleavy and F. Boucek (2003): 'Constructing the Number of Parties.' Party Politics 9(3): 291-315.
- Laakso, M.; R. Taagepera (1979): Effective Number of Parties: A Measure with Application to West Europe. Comparative Political Studies 12:3-27.
- Golosov, Grigorii V. (2010): The Effective Number of Parties: A New Approach. Party Politics 16:171-192.
- Michael Gallagher providing data on the Laakso-Taagepera effective number of parties for over 900 elections in over 100 countries
- Average effective number of parties (Golosov) for 183 democratic party systems and non-systems, 1792-2009, reported in Golosov, Grigorii V., "Towards a Classification of the World's Democratic Party Systems, Step 1: Identifying the Units", Party Politics, Vol. 19, No. 1, January 2013, pp. 134–138.
- How to compute Golosov’s effective number of parties in Excel