IDEAS home Printed from https://ideas.repec.org/a/spr/lsprsc/v14y2021i1d10.1007_s12076-021-00265-6.html
   My bibliography  Save this article

Spatial links in the analysis of voter turnout in European Parliamentary elections

Author

Listed:
  • Nadia Fiorino

    (University of L’Aquila)

  • Nicola Pontarollo

    (University of Brescia)

  • Roberto Ricciuti

    (University of Verona
    CESifo)

Abstract

This paper investigates the turnout in European Parliamentary elections by analyzing the four EP elections from 1999 to 2014 in 155 regions in EU-12. We use a number of econometric techniques that account for spatial dependence, also dealing with heteroskedasticity and endogeneity. The results confirm the role of spatial spillovers and indicate a significant role for GDP per capita, unemployment, age, institutional and electoral variables in influencing turnout. Finally, we disentangle the direct and indirect effects of the regional variable in affecting turnout.

Suggested Citation

  • Nadia Fiorino & Nicola Pontarollo & Roberto Ricciuti, 2021. "Spatial links in the analysis of voter turnout in European Parliamentary elections," Letters in Spatial and Resource Sciences, Springer, vol. 14(1), pages 65-78, April.
    • Handle: RePEc:spr:lsprsc:v:14:y:2021:i:1:d:10.1007_s12076-021-00265-6
    DOI: 10.1007/s12076-021-00265-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12076-021-00265-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12076-021-00265-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cho, Wendy K Tam & Rudolph, Thomas J, 2008. "Emanating Political Participation: Untangling the Spatial Structure Behind Participation," British Journal of Political Science, Cambridge University Press, vol. 38(2), pages 273-289, April.
    2. Cribari-Neto, Francisco, 2004. "Asymptotic inference under heteroskedasticity of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 215-233, March.
    3. Ian Sue Wing & Joan L. Walker, 2010. "The Geographic Dimensions of Electoral Polarization in the 2004 U.S. Presidential Vote," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 253-285, Springer.
    4. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    5. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    6. Barry Nalebuff & Ron Shachar, 1999. "Follow the Leader: Theory and Evidence on Political Participation," American Economic Review, American Economic Association, vol. 89(3), pages 525-547, June.
    7. Nadia Fiorino & Nicola Pontarollo & Roberto Ricciuti, 2017. "Supra National, National and Regional Dimensions of Voter Turnout in European Parliament Elections," JRC Research Reports JRC108755, Joint Research Centre.
    8. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    9. Cem Ertur & Julie Le Gallo & Catherine Baumont, 2006. "The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?," International Regional Science Review, , vol. 29(1), pages 3-34, January.
    10. Riccardo Crescenzi & Marco Di Cataldo & Andrés Rodríguez-Pose, 2016. "Government Quality And The Economic Returns Of Transport Infrastructure Investment In European Regions," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 555-582, September.
    11. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    12. James LeSage & Matthew Dominguez, 2012. "The importance of modeling spatial spillovers in public choice analysis," Public Choice, Springer, vol. 150(3), pages 525-545, March.
    13. Radcliff, Benjamin, 1992. "The Welfare State, Turnout, and the Economy: A Comparative Analysis," American Political Science Review, Cambridge University Press, vol. 86(2), pages 444-454, June.
    14. Oliver, J. Eric, 2000. "City Size and Civic Involvement in Metropolitan America," American Political Science Review, Cambridge University Press, vol. 94(2), pages 361-373, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marques, André M., 2022. "Is income inequality good or bad for growth? Further empirical evidence using data for all Brazilian cities," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 360-376.
    2. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    3. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
    4. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    5. Nadia Fiorino & Nicola Pontarollo & Roberto Ricciuti, 2016. "Voter Turnout in European Parliament Elections: A Spatial Analysis," CESifo Working Paper Series 5910, CESifo.
    6. Marina Di Giacomo & Wolfgang Nagl & Philipp Steinbrunner, 2022. "Trump Digs Votes - The Effect of Trump's Coal Campaign on the Presidential Ballot in 2016," CESifo Working Paper Series 9817, CESifo.
    7. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    8. Paolo Postiglione & Alfredo Cartone & Domenica Panzera, 2020. "Economic Convergence in EU NUTS 3 Regions: A Spatial Econometric Perspective," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    9. Girum Dagnachew Abate & Niels Haldrup, 2017. "Space-time modeling of electricity spot prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    10. Sandy Dall'erba & Julie Le Gallo, 2008. "Regional convergence and the impact of European structural funds over 1989–1999: A spatial econometric analysis," Papers in Regional Science, Wiley Blackwell, vol. 87(2), pages 219-244, June.
    11. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    12. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    13. Marbuah, George & Amuakwa-Mensah, Franklin, 2017. "Spatial analysis of emissions in Sweden," Energy Economics, Elsevier, vol. 68(C), pages 383-394.
    14. Guilherme Resende & Tulio Cravo, 2013. "What about regions in regional science? An exercise of convergence using different geographic scales of European Union," ERSA conference papers ersa13p772, European Regional Science Association.
    15. Harald Badinger & Peter Egger, 2008. "Intra- and Inter-Industry Productivity Spillovers in OECD Manufacturing: A Spatial Econometric Perspective," CESifo Working Paper Series 2181, CESifo.
    16. Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(2), pages 555-575, April.
    17. Federica Cappelli & Caterina Conigliani & Valeria Costantini & Keti Lelo & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2020. "Do spatial interactions fuel the climate-conflict vicious cycle? The case of the African continent," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-52, December.
    18. Marcos Herrera Gomez, 2015. "Econometría espacial usando Stata. Breve guía aplicada para datos de corte transversal," Working Papers 13, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    19. Fang, Ying & Park, Sung Y. & Zhang, Jinfeng, 2014. "A simple spatial dependence test robust to local and distributional misspecifications," Economics Letters, Elsevier, vol. 124(2), pages 203-206.
    20. Bo Pieter Johannes Andree & Francisco Blasques & Eric Koomen, 2017. "Smooth Transition Spatial Autoregressive Models," Tinbergen Institute Discussion Papers 17-050/III, Tinbergen Institute.

    More about this item

    Keywords

    European Parliamentary elections; Voter turnout; Sub-national variations; Spatial econometrics;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lsprsc:v:14:y:2021:i:1:d:10.1007_s12076-021-00265-6. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.