Skip to main navigation Skip to search Skip to main content

Evaluating the socio-cultural carrying capacity of rural tourism communities: A 'value stretch' approach

Research output: Contribution to journalArticlepeer-review

Abstract

Using the carrying capacity value stretch (CCVS) model incorporated into nominal group technique (NGT) methodology, this paper investigated a rural community's determinants of socio-cultural carrying capacity perceptions in the wake of rural tourism development. The case of Kibbutz Yiron in Northern Israel was used to detect the tourism impacts, to evaluate to what extent rural tourism in this community is violating its limits for acceptable change and what necessary steps should be taken in order to mitigate existing, and to avoid future negative impacts? Results of this study support previous tourism impact studies. However, they are unique in their interpretation of carrying capacity measures in a qualitative and multidimensional manner. Based on the analysis of perceived intolerable, current and expected tourist impacts, these results can guide planning and policy oriented benchmarks for socio-culturally sustainable rural tourism.

Original languageEnglish
Pages (from-to)583-601
Number of pages19
JournalTijdschrift Voor Economische en Sociale Geografie
Volume97
Issue number5
DOIs
StatePublished - Dec 2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Kibbutzim
  • LAC
  • Rural tourism
  • Socio-cultural carrying capacity
  • Tourism impacts
  • Value stretch model

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Evaluating the socio-cultural carrying capacity of rural tourism communities: A 'value stretch' approach'. Together they form a unique fingerprint.

Cite this