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Explaining anti-immigrant sentiment through spatial analysis: a study of the 2019 European elections in Italy

Author

Listed:
  • Francesco Pagliacci
  • Luca Bonacini

Abstract

Does the settling of foreigners cause a rise in anti-immigrant sentiment due to resource competition? Or does the interaction allow for more respectful relations? And what if one also considers settlement in neighbouring municipalities? Applying an instrumental variable approach to variables collected at the municipality level and also including neighbouring areas, this paper aims to shed light on these questions by considering the vote for the Lega party across Italian municipalities in the 2019 European parliamentary election as a proxy for anti-immigration sentiment. Our results point out a negative effect of direct interactions with foreigners on the Lega vote, while the proximity of immigrants in neighbouring municipalities could have the opposite effect.

Suggested Citation

  • Francesco Pagliacci & Luca Bonacini, 2021. "Explaining anti-immigrant sentiment through spatial analysis: a study of the 2019 European elections in Italy," Department of Economics 0192, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  • Handle: RePEc:mod:depeco:0192
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    More about this item

    Keywords

    Immigration; Right extremist vote; Segregation; Voting Behaviour;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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