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Spatial analysis of economic and social determinants of vote: the case of the European Parliament and constitutional referendum votes in Italy

Published online by Cambridge University Press:  13 September 2019

Francesco Giovanni Truglia
Affiliation:
Istat – Territorial Networks dpt., Viale Oceano Pacifico, 171, Rome, Italy
Alessandro Zeli*
Affiliation:
Istat – Division for Data Analysis and Economic, Social and Environmental Research, Viale Liegi, 13, Rome, Italy
*
*Corresponding author. Email: zeli@istat.it
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Abstract

The 2014 European Parliament election and the 2016 Constitutional Referendum in Italy occurred in the middle of two general elections. These votes, taking place respectively at the beginning and the end of the government led by Matteo Renzi of the Democratic Party (PD), represented a public test of the PD leadership. The election results were diverse in many respects, but they replicate social, economic, political, and cultural differences. In particular, between the two electoral exercises the differential electoral behaviour of South compared with the rest of the country is deepened. Moreover, the results can be interpreted as the outcome of differences in age, educational levels, social, and economic unrest; all these variables are synthesized by the territorial distribution of the vote and this helps in interpreting the evolution of political sentiment in Italy. A spatial statistics methodology is utilized to analyse votes by means of their territorial distributions. The outcomes indicate that referendum result was influenced by the economic vote. Apart from the substance of the constitutional reform, the referendum result can be traced back to economic factors: the absence of perceived economic improvements and the persistence of high unemployment.

Type
Research Article
Copyright
Copyright © Società Italiana di Scienza Politica 2019

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References

Agnew, JA (1996) Mapping politics: how context counts in electoral geography. Political Geography 15, 129146.CrossRefGoogle Scholar
Agnew, JA (2002) Place and Politics in Modern Italy. Chicago: University of Chicago Press.Google Scholar
Anselin, L (1988) Spatial Econometrics. Models and Applications. Boston: Kluwer Academic.CrossRefGoogle Scholar
Anselin, L (1995) Local indicators of spatial association – LISA. Geographical Analysis 27, 93115.Google Scholar
Anselin, L (1999) Interactive techniques and exploratory spatial data analysis. In Longley, PA, Goodchild, MF, Maguire, DJ and Rhind, DW (eds), Geographical Information Systems: Principles, Techniques, Management and Applications. New York: Wiley, pp. 253265.Google Scholar
Auberger, A (2012) Voting and economic factors in French elections for the European Parliament. Public Choice 153, 329340.CrossRefGoogle Scholar
Bartels, LM (2014) Ideology and retrospection in electoral responses to the great recession. In Bartels, LM and Bermeo, N (eds), Mass Politics in Tough Times. Oxford: Oxford Scholarship, pp. 185223.CrossRefGoogle Scholar
Bellucci, P (2012) Government accountability and voting choice in Italy, 1990–2008. Electoral Studies 31, 491497.CrossRefGoogle Scholar
Binzer, HS and Wittrock, J (2011) The second-order election model revisited: an experimental test of vote choices in European Parliament elections. Electoral Studies 30, 2940.Google Scholar
Boselli, C, Truglia, FG and Zeli, A (2012) The impact of the crisis for the Italian exporting sectors: a spatial statistics analysis. Italian Journal of Applied Statistics 24, 345361.Google Scholar
Bouvet, F and King, S (2016) Income inequality and election outcomes in OECD countries: new evidence following the Great Recession of 2008–2009. Electoral Studies 41, 7079.Google Scholar
Calise, M (2015) The personal party: an analytical framework. Italian Political Science Review/Rivista Italiana di Scienza Politica 45, 301315.Google Scholar
Chasco, C and Lopez, F (2004) Space-time Lags: Specification Strategy in Spatial Regression Models. Real 04-T17. Available at http://www2.uiuc.edu/unit/real/d-paper/real04-t-17.pdf (Accessed 27 June 2018).Google Scholar
Cliff, AD and Ord, JK (1981) Spatial Processes: Models & Applications. London: Pion Ltd.Google Scholar
Cressie, NA (1993) Statistics for Spatial Data. New York: Wiley & Sons.Google Scholar
Doreian, P (1980) Linear model with spatially distributed data. Spatial disturbance or spatial effects. Sociological Methods & Research 9, 2960.CrossRefGoogle Scholar
Durkheim, E (1890–1900) Leҫon de Sociologie. Paris: Pu.Google Scholar
Dutch, RM and Stevenson, RT (2008) The Economic Vote. How Political and Economic Institutions Condition Election Results. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
King, G, Rosen, O and Tanner, AM (2004) Ecological Inference. Cambridge: Cambridge University Press.Google Scholar
Kriesi, H (2012) The political consequences of the financial and economic crisis in Europe: electoral punishment and popular protest. Swiss Political Review 18, 518522.CrossRefGoogle Scholar
Lazarsfeld, P, Berelson, B and Gaudet, H (1968) The People's Choice: How the Voter Makes up His Mind in a Presidential Campaign, 3rd Edn. New York: Columbia University Press.CrossRefGoogle Scholar
Lewis-Beck, MS (1988) Economics and Elections: The Major Western Democracies. Ann Arbor: University of Michigan Press.Google Scholar
Lewis-Beck, MS and Stegmaier, M (2007) Economic models of voting. In Dalton, JR and Klingemann, HD (eds), The Oxford Handbook of Political Behaviour. Oxford: Oxford University Press, pp. 519537.Google Scholar
Maruyama, YY (2015) An Alternative to Moran's I for Spatial Autocorrelation. Tokyo: Center for Spatial Information Science, University of Tokyo.Google Scholar
Moran, PAP (1950) Notes on continuous stochastic phenomena. Biometrika 37, 1723.Google ScholarPubMed
Musella, F (2015) Personal leaders and party change: Italy in comparative perspective. Italian Political Science Review/Rivista Italiana di Scienza Politica 45, 227247.CrossRefGoogle Scholar
Robinson, WS (1950) Ecological correlations and the behaviour of individuals, American Sociological Review 15, 321–57.CrossRefGoogle Scholar
Shin, ME and Agnew, JA (2008) Berlusconi's Italy. Mapping Contemporary Italian Politics. Philadelphia: Temple University Press.Google Scholar
Singer, MM (2011) Who says ‘it's economy’? Cross-national and cross-individual variation in the salience of economic performance. Comparative Political Studies 44, 284312.CrossRefGoogle Scholar
Stokes, DE (1992) Valence politics. In Dennis, K (ed.), Electoral Politics. Oxford: Clarendon Press, pp. 141162.Google Scholar
Truglia, FG (2006) La configurazione spaziale del consenso elettorale nel comune di Roma. Sociologia e Ricerca Sociale 81, 190198.Google Scholar
Truglia, FG (2018) Territorializzazione del consenso elettorale: Determinati spaziali, socio-economiche e culturali. In Fruncillo, D and Addeo, F (eds), Le Elezioni del 2018. Partiti, Candidati, Regole e Risultati. Firenze: SISE: Società Italiana di Studi Elettorali, pp. 83111.Google Scholar