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Tourism Management
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Is subsidising tourism firms an effective use of public funds?

Authors: BERNINI, CRISTINA; pellegrini guido;

Is subsidising tourism firms an effective use of public funds?

Abstract

Abstract This study assesses the impact of state aid on firms in the tourism sector by implementing an accurate micro-econometric evaluation of their causal effect. Analyses consider subsidies allocated by the main regional policy in Italy, the Law 488/1992, during the period 1999–2003. A Matching Difference-In-Difference (MDID) estimator is applied, considering the presence of selection on observable and non-observable factors. Effects on the tourism sector are compared with those in the manufacturing industry. The impacts with respect to different types of tourism destinations where tourism firms operate are also evaluated. The results show higher output and employment growth but lower labour productivity dynamics in subsidised firms relative to non-subsidised ones. The impacts are diverse across types of tourism destinations.

Country
Italy
Keywords

public subsidies; mdid estimator; tourism firms; tourism destination typologies; policy evaluation; tourism destination types, PUBLIC SUBSIDIES; POLICY EVALUATION; TOURISM FIRMS; TOURISM DESTINATION TYPOLOGIES; MDID ESTIMATOR

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%