The contingent equilibrium during imbalanced volcano tourism demand through fee estimation: An empirical analysis of tourism in Mt. Etna

Autor: Marco Platania, Richard Anthony John Sharpley, Marcella Rizzo, Giovanni Ruggieri
Přispěvatelé: Giovanni Ruggieri, Marco Platania, Sharpley Antony Richard, Marcella Rizzo
Jazyk: angličtina
Rok vydání: 2022
Předmět:
ISSN: 0301-4797
Popis: Volcanic sites can be considered strategic areas for conservation and protection policies, but such policies may involve considerable costs However, not only are volcanic sites often integral to the tourism industry and, hence, of potential significant benefit to local economies in general; entrance fee income from tourists can also contribute to management and conservation costs in particular. Nevertheless, seasonal variations in tourism demand, resulting in over-and under-tourism situations, may impact on both the level of income generated as well as on the sustainability of sites Therefore, based on a case study of Mt Etna in Italy, this study considers establishing appropriate entry fee levels for volcano areas. First, a logit model is applied to the relevant socio-demographic and site-specific variables. The entrance fees are estimated on visitors' willingness to pay and demand elasticity. Applying contingent valuation method (CVM), two groups of tourists (high and low season visitors) are identified and surveyed, with each group demonstrating different willingness to pay and elasticity levels. Rather than applying a single fee, different entrance fees for the two groups are found to generate a higher level of revenue for the park's economic equilibrium. In addition, the different entrance fees offer the potential to mitigate the peak effects of over-tourism and support demand during under-tourism, with clear sustainability consequences. The results, which confirm four hypotheses set about Mt. Etna, could facilitate decision-makers in determining a feasible balance between management costs, tourism demand characteristics and protection commitments.
Databáze: OpenAIRE