IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Tunisian constituent assembly elections: how does spatial proximity matter?

Listed author(s):
  • Mohamed Amara

    ()

  • AbdelRahmen El Lahga

    ()

This paper presents an Exploratory Spatial Data Analysis and Spatial Econometric modeling of the 2011 National Constituent Assembly elections (NCA) in Tunisia. By using electoral data at delegation level of the six main political parties (Ennahda, Congress of the Republic, Ettakatol, the Democratic Progressive Party, the Petition and the Democratie Modernist Pole), we show that geographical proximity matters in Tunisia’s voting behavior. The results overwhelmingly support the spatial Durbin model, including spatially weighted independent variables, as the best model to explain the voting phenomenon. Employing LeSage and Pace’s approach, we find that the largest direct and indirect effects are associated with age cohort and level of educational attainment. Voters who live in poorer neighborhoods are more likely to support the Petition list. Our results also show that younger voters are more likely to vote Ennahda, while older voters with high educational attainment are more likely to support Ettakatol and the Democratie Modernist Pole parties. Men are more likely to support Congress of the Republic than women voters. Copyright Springer Science+Business Media Dordrecht 2016

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1007/s11135-014-0137-1
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Springer in its journal Quality & Quantity.

Volume (Year): 50 (2016)
Issue (Month): 1 (January)
Pages: 65-88

as
in new window

Handle: RePEc:spr:qualqt:v:50:y:2016:i:1:p:65-88
DOI: 10.1007/s11135-014-0137-1
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/economics/journal/11135

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Panu Pelkonen, 2012. "Length of compulsory education and voter turnout—evidence from a staged reform," Public Choice, Springer, vol. 150(1), pages 51-75, January.
  2. Milligan, Kevin & Moretti, Enrico & Oreopoulos, Philip, 2004. "Does education improve citizenship? Evidence from the United States and the United Kingdom," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1667-1695, August.
  3. Andrew Leigh, 2005. "Economic Voting And Electoral Behavior: How Do Individual, Local, And National Factors Affect The Partisan Choice?," Economics and Politics, Wiley Blackwell, vol. 17, pages 265-296, July.
  4. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
  5. Johnston, Ron & Propper, Carol & Burgess, Simon & Sarker, Rebecca & Bolster, Anne & Jones, Kelvyn, 2005. "Spatial Scale and the Neighbourhood Effect: Multinomial Models of Voting at Two Recent British General Elections," British Journal of Political Science, Cambridge University Press, vol. 35(03), pages 487-514, July.
  6. Vilalta y Perdomo, Carlos, 2004. "The local context and the spatial diffusion of multiparty competition in urban Mexico (1994-2000)," EGAP Working Papers 2004-03, Tecnológico de Monterrey, Campus Ciudad de México.
  7. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
  8. David Cutts & Don Webber, 2010. "Voting Patterns, Party Spending and Relative Location in England and Wales," Regional Studies, Taylor & Francis Journals, vol. 44(6), pages 735-760.
  9. repec:cup:apsrev:v:81:y:1987:i:02:p:405-423_19 is not listed on IDEAS
  10. Habib Ayeb, 2011. "Social and political geography of the Tunisian revolution: the alfa grass revolution," Review of African Political Economy, Taylor & Francis Journals, vol. 38(129), pages 467-479, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:50:y:2016:i:1:p:65-88. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

or (Rebekah McClure)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.