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Rough Terrain: Spatial Variation in Campaign Contributing and Volunteerism

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  • Wendy K. Tam Cho
  • James G. Gimpel

Abstract

We examine spatial patterns of mass political participation in the form of volunteering and donating to a major statewide election campaign. While these forms of participation are predictably associated with the political and socioeconomic characteristics of the precincts in which the participants reside, we find that these statistical relationships are spatially nonstationary. High‐income neighborhoods, for example, are associated with stronger effects on participation at some locations more than at others. By using geographically weighted regression (GWR) to specify local regression parameters, we are able to capture the heterogeneity of contextual processes that generate the geographically uneven flow of volunteers and contributors into a political campaign. Since spatial nonstationarity may well be a rule rather than an exception in the study of many political phenomena, social scientific analyses should be mindful that relationships may vary by location.

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  • Wendy K. Tam Cho & James G. Gimpel, 2010. "Rough Terrain: Spatial Variation in Campaign Contributing and Volunteerism," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 74-89, January.
    • Handle: RePEc:wly:amposc:v:54:y:2010:i:1:p:74-89
    DOI: 10.1111/j.1540-5907.2009.00419.x
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    5. Eagles, Munroe & Erfle, Stephen, 1989. "Community Cohesion and Voter Turnout in English Parliamentary Constituencies," British Journal of Political Science, Cambridge University Press, vol. 19(1), pages 115-125, January.
    6. Yefang Huang & Yee Leung, 2002. "Analysing regional industrialisation in Jiangsu province using geographically weighted regression," Journal of Geographical Systems, Springer, vol. 4(2), pages 233-249, June.
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    Cited by:

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    2. Black, Iain & Veloutsou, Cleopatra, 2017. "Working consumers: Co-creation of brand identity, consumer identity and brand community identity," Journal of Business Research, Elsevier, vol. 70(C), pages 416-429.

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