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Do rural development program measures for the encouragement of rural tourism work? A spatial econometric analysis

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  • Vincent Linderhof

    ()

  • Stijn Reinhard

    ()

Abstract

This paper analyses the impact of Rural Development Program (RDP) measures focusing on tourism have on the growth of tourism and on the economy in rural areas. We first explored tourism in NUT2 regions in the EU with a spatial data analyses and then we applied spatial econometric analyses on tourism where we take into account the RDP spending on the measures that encourage tourism. For the spatial regression analyses, we use the indicators of the CMEF framework. The data were collected from Eurostat. The spending on the RDP measure 313 encouragement of tourism is not uniformly distributed over the NUTS 2 regions in the EU. The spatial analyses of tourism measured by the number of nights spent by non-residents showed the presence of spatial dependencies in tourism. Based on the spatial dependency tests of the classical regression model, a spatial error model is estimated. The number of bed places positively affected the total number of night spent by non-residents. RDP spending on encouraging tourism did not have a significant impact on tourism. JEL codes: C21, L83, O18 Keywords: Rural Development Program, spatial data analyses, spatial econometrics, tourism

Suggested Citation

  • Vincent Linderhof & Stijn Reinhard, 2012. "Do rural development program measures for the encouragement of rural tourism work? A spatial econometric analysis," ERSA conference papers ersa12p932, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p932
    as

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    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa12/e120821aFinal00934.pdf
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    References listed on IDEAS

    as
    1. R. Brau & A. Lanza & F. Pigliaru, 2003. "How fast are tourism countries growing? The cross country evidence," Working Paper CRENoS 200309, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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