Hesami, S., 2026. Tourism VAT relief: a behavioural cost-benefit analysis with off-peak targeting. Tourism Review. (In Press)
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Abstract
Purpose This paper aims to test whether tourism value added tax (VAT) relief delivers welfare gains once fiscal costs and behavioural responses are included, and whether policy design (timing/targeting) matters more than rate depth. It compares uniform year-round VAT cuts with off-peak targeted VAT relief, modelling incomplete pass-through, seasonal demand elasticity and discounted welfare. Design/methodology/approach A regionally calibrated behavioural cost-benefit simulation is applied to Dorset (UK). Scenarios reduce VAT to 12.5% or 5%, either year-round or only in off-peak months, over a 10-year horizon. The model integrates consumer/producer surplus, employment and fiscal feedbacks; robustness is tested via sensitivity analysis and Monte Carlo simulation. Findings VAT cuts increase turnover and employment, but uniform year-round relief does not reach welfare breakeven after discounting fiscal losses. The key contribution is showing that off-peak targeting markedly improves welfare efficiency, producing benefit-cost ratios close to one while cutting fiscal exposure by more than two-thirds versus uniform cuts. Deeper cuts generate larger absolute gains but lower proportional efficiency unless pass-through and demand responsiveness are exceptionally high; overall, timing and targeting dominate rate depth. Practical implications VAT relief is most defensible as a time-bound, off-peak tool. Effectiveness increases when paired with price transparency, coordinated off-peak marketing and shoulder-season product development to strengthen consumer price signals and incremental demand. Originality/value The paper advances tourism taxation research by identifying which VAT design maximises welfare efficiency under realistic behaviour, integrating seasonality, incomplete incidence and discounted welfare appraisal in a transferable regional framework.
| Item Type: | Article |
|---|---|
| ISSN: | 1660-5373 |
| Group: | Faculty of Business and Law |
| ID Code: | 41942 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 23 Apr 2026 10:33 |
| Last Modified: | 23 Apr 2026 10:33 |
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