nep-tur New Economics Papers
on Tourism Economics
Issue of 2013‒03‒09
four papers chosen by
Antonello Scorcu
University of Bologna

  1. Innovative Integration in Tourism By Romão, João; Rodrigues, Paulo M.; Guerreiro, João
  2. Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry By Carl S. Bonham; Peter Fuleky; Qianxue Zhao
  3. Green Innovation in Tourism Services By OECD
  4. Providing Preference-Based Support for Forest Ecosystem Service Management in Poland By Mikołaj Czajkowski; Anna Bartczak; Marek Giergiczny; Stale Navrud; Tomasz Żylicz

  1. By: Romão, João (University of Algarve); Rodrigues, Paulo M. (University of Algarve); Guerreiro, João (University of Algarve)
    Abstract: The differentiation of tourism destinations depends on the innovative integration of local cultural and natural characteristics of the territory into the regional touristic supply. A panel data model is used to identify – and to confirm – the influence of these “new” conditions for sustainable tourism development in the regional attractiveness in Southwest Europe, between 2003 and 2008. Other “traditional conditions” are also taken into consideration, namely those related to infrastructures and economic conditions. The work includes a critical literature review on the regional tourism systems, their relation with regional systems of innovation and the contribution of natural and cultural assets for the differentiation of tourism destinations.
    Keywords: Tourism; Innovation; Differentiation; Nature; Heritage; Region
    JEL: C23 O33 Q56
    Date: 2013–02–13
  2. By: Carl S. Bonham (UHERO, University of Hawaii at Manoa); Peter Fuleky (UHERO, University of Hawaii at Manoa); Qianxue Zhao (UHERO, University of Hawaii at Manoa)
    Abstract: Tourism demand elasticities are central to marketing, forecasting and policy work, but the wide array of occasionally counterintuitive estimates produced by existing empirical studies implies that some of those results may be inaccurate. To improve the precision of estimates, it is natural to turn to the richness of panel data. However, panel estimation using non-stationary data requires careful attention to the likely presence of common shocks shared across the underlying macroeconomic variables and across regions. Several recently developed econometric tools for panel data analysis attempt to deal with such cross-sectional dependence. We apply the estimator of Pesaran (2006)and Kapetinos, Pesaran and Yamagata (2010) to obtain tourism demand elasticities in non-stationary heterogeneous dynamic panels subject to common factors. We study the extent to which tourism arrivals from the US Mainland to Hawaii are driven by fundamentals such as real personal income and the cost of the trip, and we find that neglecting cross-sectional dependence in the data leads to spurious results.
    Keywords: Panel Cointegration, Cross-Sectional Dependence, Tourism Demand Hawaii
    JEL: C23 C51 L83 R41
    Date: 2013–02
  3. By: OECD
    Abstract: The OECD's Towards Green Growth states that green growth is about fostering economic growth and development while ensuring that natural assets continue to provide the resources and environmental services on which our well-being relies. To do this it is necessary to foster investment and innovation, which will underpin sustained growth and give rise to new economic opportunities...
    Date: 2013–02–26
  4. By: Mikołaj Czajkowski (Faculty of Economic Sciences, University of Warsaw); Anna Bartczak (Faculty of Economic Sciences, University of Warsaw); Marek Giergiczny (Faculty of Economic Sciences, University of Warsaw); Stale Navrud (Norwegian University of Life Sciences); Tomasz Żylicz (Faculty of Economic Sciences, University of Warsaw)
    Abstract: The paper looks at people’s preferences for the changes in selected ecosystem services resulting from new management strategies of forest areas in Poland. It applies a generalized multinomial logit (G-MNL) model to interpret the results of a discrete choice experiment (DCE) study administered to a representative sample of 1001 Poles. The questionnaire included three physical attributes, namely: protecting the most ecologically valuable forest ecosystems, reducing litter in forests, and improving recreation infrastructure. The selection of these attributes was motivated by extensive qualitative research of what indicators of biodiversity, nature protection and recreation possibilities people are the most sensitive to. The fourth attribute was monetary – additional cost of the new programs which would have to be financed out of increased taxes. The results allowed for a robust estimation of implicit prices of the choice attributes and calculating welfare measures of specific forest management scenarios. In addition, the study revealed interesting connections between respondents’ current forest recreation patterns and the importance they place on different attributes of forests. The results make it possible to utilize respondents’ preference heterogeneity, to a large extent determined by their current recreational use patterns, in designing future forest management strategies.
    Keywords: biodiversity, forest recreation, discrete choice modeling, generalized multinomial logit model
    JEL: D12 H44 Q23 Q26 Q51
    Date: 2013

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