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The effect of tourism on crime in Italy: A dynamic panel approach

Author

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  • Biagi, Bianca
  • Brandano, Maria Giovanna
  • Detotto, Claudio

Abstract

The purpose of this paper is to demonstrate that, all else being equal, for the case of Italy, tourist areas tend to have a greater amount of crime than non-tourist areas in the long run. Following the literature of the economics of crime à la Becker (1968) and Ehrlich (1973) and using a system GMM approach for the time span 1985-2003, the authors empirically test whether total crime in Italy is affected by tourist arrivals. Findings confirm the initial intuition of a positive relationship between tourism and crime in destinations. When controlling for the difference between tourists and residents in the propensity to be victimized, no relevant differences are found: the likelihood to be victimized is quite similar for the two groups. As a consequence, agglomeration and urbanisation effects seem to be the main explanation for the impact of tourism on crime. One can image that overcrowded cities provide more opportunities to criminals to commit illegal activities regardless of the number of visitors and residents in destinations.

Suggested Citation

  • Biagi, Bianca & Brandano, Maria Giovanna & Detotto, Claudio, 2012. "The effect of tourism on crime in Italy: A dynamic panel approach," Economics Discussion Papers 2012-4, Kiel Institute for the World Economy (IfW).
  • Handle: RePEc:zbw:ifwedp:20124
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mantobaye Moundigbaye & William Rea & W. Robert Reed, 2016. "More Evidence On “Which Panel Data Estimator Should I Use?”," Working Papers in Economics 16/18, University of Canterbury, Department of Economics and Finance.
    2. Moundigbaye, Mantobaye & Rea, William S. & Reed, W. Robert, 2018. "Which panel data estimator should I use? A corrigendum and extension," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 12, pages 1-31.
    3. Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2016. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 16/22, University of Canterbury, Department of Economics and Finance.
    4. repec:eee:touman:v:54:y:2016:i:c:p:383-392 is not listed on IDEAS
    5. Brida, Juan Gabriel & Del Chiappa, Giacomo & Meleddu, Marta & Pulina, Manuela, 2012. "Cruise tourism exteralities and residents' support: A mixed approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-26.
    6. Daniel Montolio & Simón Planells, 2013. "Does tourism boost criminal activity? Evidence from a top touristic country," Working Papers 2013/4, Institut d'Economia de Barcelona (IEB).
    7. B. Biagi & MG. Brandano & D. Lambiri, 2012. "Does tourism affect house prices? Some evidence from Italy," Working Paper CRENoS 201227, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    More about this item

    Keywords

    Tourism; crime; externalities;

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • K00 - Law and Economics - - General - - - General (including Data Sources and Description)
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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