Abstract

Previous studies have focused on residents’ perceived impacts on the host communities (perceived impacts at community level), and neglected residents’ perceptions of event impacts on their personal lives (perceived impacts at individual level). Built upon social exchange theory and social representation theory, this study explored how local residents perceived the impacts of small-scale recurring events in a rural area. A total of 208 valid responses were obtained through a self-administrated online survey. Paired sample t-tests and independent samples t-tests were employed to test the hypotheses. The results showed that rural residents perceived greater economic, social and environmental impacts at the community level than the individual level. Residents’ reliance on tourism influenced their perceptions of the event impacts. Finally, implications for local government and event organizers were discussed.

Highlights

  • Event impact analysis has been one of the central themes in event studies (Getz & Page, 2016)

  • Built upon social exchange theory and social representation theory, this study explored how local residents perceived the impacts of small-scale recurring events in a rural area

  • The results showed that rural residents perceived greater economic, social and environmental impacts at the community level than the individual level

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Summary

Introduction

Event impact analysis has been one of the central themes in event studies (Getz & Page, 2016). Small scale community events in rural areas have received less attention (Getz & Page, 2016). Given the importance of understanding residents’ perceptions of events and the lack of studies on recurring rural events, the current study attempts to assess residents’ perceived impacts through an investigation into a number of recurring community events within rural areas. Many scholars have suggested that an assessment of event impacts be critical to the success and sustainability of rural event development, and be adopted as a useful tool to measure and monitor event performance (Getz & Page, 2016; Panyik et al, 2011; Rasoolimanesh et al, 2017)

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