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Tourism Demand Elasticity Modeling/Evidence
Method evidence record

Tourism Demand Elasticity Modeling

Tourism demand elasticity modeling estimates how responsive tourist demand is to changes in its key drivers, above all source-market income and the price of travel. The income elasticity measures the percentage change in demand for a one-percent change in income, and the price elasticity does the same for price; both are recovered as coefficients in econometric demand models, most simply a log-linear regression where the coefficients read directly as elasticities. Geoffrey Crouch's mid-1990s surveys of the international tourism demand literature consolidated decades of such estimates, showing that tourism is typically income-elastic — a luxury that grows faster than income — and price-sensitive, with values that vary systematically across markets and methods. Later meta-analyses, such as Peng, Song, Crouch, and Witt's, quantified that variation across hundreds of studies.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Income and Price Elasticity of Tourism Demand
Taxonomic method record · regression-model / tourism-hospitality
  • Crouch, G. I. (1994). The Study of International Tourism Demand: A Review of Findings. Journal of Travel Research, 33(1), 12-23. · DOI 10.1177/004728759403300102
  • Crouch, G. I. (1994). Price Elasticities in International Tourism. Hospitality Research Journal, 17(3), 27-39. · DOI 10.1177/109634809401700304
  • Peng, B., Song, H., Crouch, G. I., & Witt, S. F. (2015). A Meta-Analysis of International Tourism Demand Elasticities. Journal of Travel Research, 54(5), 611-633. · DOI 10.1177/0047287514528283
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketGravity Model of Tourist Flowsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTourism Almost Ideal Demand Systemmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTourism Demand Forecastingmachine-suggested · Relational suggestion, not evidence.Same method familyTourism Seasonality Indexmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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