A Non-Compensatory Index of Community Participation in Cross-Border Tourism Development Processes

被引:1
作者
Stacchini, Annalisa [1 ,2 ]
Guizzardi, Andrea [1 ,2 ]
Brasini, Sergio [1 ,2 ]
机构
[1] Univ Bologna, Dept Stat Sci Paolo Fortunati, I-40126 Bologna, Italy
[2] Univ Bologna, Ctr Adv Studies Tourism, I-40126 Bologna, Italy
关键词
sustainable tourism development; composite index; robustness analysis; cross-border cooperation; sharing economy; RURAL TOURISM; SUSTAINABLE DEVELOPMENT; COMPOSITE INDICATORS; SATISFACTION; GOVERNANCE; ENGAGEMENT; EFFICACY; REGIONS; QUALITY; MODEL;
D O I
10.3390/land13091519
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We propose a composite index to measure and benchmark community participation in cross-border tourism development processes. The index synthesizes information regarding three dimensions of this construct, deemed as very important by the extant literature: residents' engagement in the planning process and willingness to proactively welcome tourists and provide tourist services directly through sharing-economy platforms. The latter aspect is crucial to develop a local tourist supply able to combine environmental sustainability and financial feasibility in marginal areas, where public funding is scarce and private investments are unprofitable. This study offers a methodological innovation using response rates to open-ended questions to measure residents' engagement in tourism planning. By applying the ELECTRE III algorithm, which is non-compensatory and ensures reliability in the presence of a high degree of uncertainty, survey information is aggregated in a single figure, which can be easily interpreted by destination managers and policymakers. After COVID-19, in readying for the next pandemic, decision makers should find our index as a very relevant and useful tool for tourism recovery and innovation planning, including compliance with measures to prevent the spread of future infections. We apply the proposed index to ten Croatian and Italian lands involved in a European development project. Data were collected through face-to-face interviews with residents, according to an availability sampling design. We obtained 879 valid questionnaires. The robustness of the resulting index is tested through an uncertainty and a sensitivity analysis.
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页数:23
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