nep-tur New Economics Papers
on Tourism Economics
Issue of 2019‒11‒18
three papers chosen by
Laura Vici
Università di Bologna

  1. Potential consequences of a CO2 aviation tax in Mexico on the demand for tourism By Galindo, Luis Miguel; Beltrán, Allan; Caballero, Karina
  2. The Development of Coffee Shopping Tourism in Colo By Azalea, Fariha; Velasufah, Whasfi; Setiawan, Adib Rifqi
  3. Booking in the Rain: Testing the impact of public information on prices By P. Figini; S. Cicognani; L. Zirulia

  1. By: Galindo, Luis Miguel; Beltrán, Allan; Caballero, Karina
    Abstract: There is limited evidence on the potential consequences of the implementation of a CO2 aviation tax in developing countries. In this paper we analyze the potential impact of a CO2 aviation tax on the inbound tourism demand from the United States, Canada and Europe to Mexico. The methodology consists of a panel cointegration estimation of the demand for international tourism to Mexico. Unlike previous studies we analyze the potential effect of the tax on both tourism expenditure and the number of airplane arrivals. The results indicate an income elasticity of 1.9 for tourism expenditure and 2.9 for the number of airplane tourist. The price elasticities of airplane tourism expenditure and the number of airplane tourists are -0.94 and -0.39, respectively. The difference in price elasticity between tourism expenditure and number of tourists suggest that a CO2 aviation tax in Mexico would lead to a larger adjustment in total expenditure rather than in trip decisions. The implementation of such tax is therefore consistent with a continuous growth of the demand for tourism. Furthermore, the tax has the potential to generate additional fiscal revenue for 163 - 480 million dollars. The price elasticity of the competitive destination highlights the importance of considering a regional agreement for the implementation of an international CO2 aviation tax.
    Keywords: international tourism; carbon dioxide emission; tax; aviation; Mexico
    JEL: L93 Q54
    Date: 2018–06–01
  2. By: Azalea, Fariha; Velasufah, Whasfi; Setiawan, Adib Rifqi
    Abstract: Shopping currently recognize as a tourism attraction. Colo, as a village in Kudus regency, is one of coffee tourism destinations in Indonesia, it seen from tourist go to here for bought coffee souvenirs. This work is aimed to find out the development of coffee souvenirs in Colo. The work uses a qualitative method results that the development of coffee shopping tourism has gone quickly within these past four years, starting from 2015 to 2019. This development is not only seen by the number of coffee souvenirs businesses labelled by ‘Kopi Muria’, but also the variety of coffee souvenirs that are available in the market, i.e. ‘Kopi Muria Parfume’ produced by ‘YouSoeka’ that available in ‘Omah Kopi’ as one of cafe here.
    Date: 2019–09–27
  3. By: P. Figini; S. Cicognani; L. Zirulia
    Abstract: The key role played by public information in market economies is paramount. Yet, investigation on how prices are affected is hindered by intricate endogeneity and parametrization issues. This paper contributes to the literature by identifying and studying a case where public information is related to weather forecasts, in a sector (tourism) where meteorological conditions exogenously impact on both suppliers’ and consumers’ decisions, especially in leisure destinations. We first develop a theoretical model where forecasts affect demand and hence equilibrium prices in accommodation: an improvement in the weather forecast has a positive impact on the price, the effect being stronger the higher the level of accuracy of the forecast and the level of ex ante uncertainty in weather conditions. We then estimate an augmented hedonic price model where dynamic characteristics (typical of advanced booking strategies) are included together with information about weather forecasts. Consistent with the theory, we find that, ceteris paribus, good weather forecasts are associated to higher prices, the impact being larger the higher their level of accuracy and the higher the ex ante level of uncertainty in weather conditions.
    JEL: D80 D22 L83
    Date: 2019–11

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