What is it about?

We use the case of the province of Salta, in Argentina, to show how, regardless of bad data problems, impact analysis of policy can be carried on successfully. Based on survey data and location quotients methodology we build a social accounting matrix for the province. This estimated matrix allows use an input-output analysis to understand the relevance of tourism promotion programmes in the region.

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Why is it important?

Our methodology allows to carry out economic impact studies of public policies in the tourism sector even when data is scare.

Perspectives

I hope this article helps policy makers to study the impact of public policies (both "ex ante" and "ex post") through more robust decisions.

Juan Pablo Tarelli

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This page is a summary of: The Regional Impact of Tourism when Data is Scarce. An Application to the Province of Salta, Tourism Planning & Development, October 2019, Taylor & Francis,
DOI: 10.1080/21568316.2019.1673808.
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