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  • 1.
    Backman, Mikaela
    et al.
    Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).
    Klaesson, Johan
    Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).
    Öner, Özge
    Jönköping University, Jönköping International Business School, JIBS, Economics. Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).
    Innovation in the hospitality industry: Firm or location?2017In: Tourism Economics, ISSN 1354-8166, E-ISSN 2044-0375, Vol. 23, no 8, p. 1591-1614Article in journal (Refereed)
    Abstract [en]

    The hospitality industry is a rapidly growing revenue generator in many countries and is becoming economically important for generating employment and for integrating of immigrants into the labor market. As an industry where firms face fierce competition, it is important for the firms to maintain their competitiveness by distinguishing themselves from others through continuous improvements and innovations. In this article, we investigate the determinants of innovation in the hospitality industry by analyzing survey data gathered from over 900 firms in Sweden. In the analysis, we differentiate between firm-specific and location-specific features. We conclude that the most important characteristics that explain innovation lie within the firm itself, not the location. These results provide important insights regarding firm- versus location-placed innovation policies.

  • 2.
    Wallentin, Erik
    Jönköping University, Jönköping International Business School, JIBS, Statistics.
    Choice of the angler: Estimating single-site recreation demand using revealed preference data2016In: Tourism Economics, ISSN 1354-8166, E-ISSN 2044-0375, Vol. 22, no 6, p. 1338-1351Article in journal (Refereed)
    Abstract [en]

    The author proposes a novel application for estimating demand for a single recreation site when data are limited. An aggregated zonal travel cost model is outlined and estimated in a panel setting using a negative binomial estimator with time-specific constants to capture unobserved time-varying quality attributes. The data are based on catch records for the Mörrum river salmon fishery, one of the most popular sport fishing destinations in Northern Europe. These are aggregated to the municipal level for the zonal estimation and give number of visits per municipality per week for the period 1999-2011. The results confirm the expected negative influence of travel cost on visits. Further, the inclusion of time-specific constants does not render all time-varying quality attributes insignificant. 

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