COGNITION MEASUREMENT AND INFLUENCE ANALYSIS OF TOURISM COMMUNITY RESILIENCE:A CASE STUDY OF QIANDAO LAKE

doi:10.13959/j.issn.1003-2398.2017.05.020

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HUMAN GEOGRAPHY ›› 2017, Vol. 32 ›› Issue (5) : 139-146. DOI: 10.13959/j.issn.1003-2398.2017.05.020

COGNITION MEASUREMENT AND INFLUENCE ANALYSIS OF TOURISM COMMUNITY RESILIENCE:A CASE STUDY OF QIANDAO LAKE

WANG Qun, LU Lin, YANG Xing-zhu

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Abstract

Human is the main determinant of the social-ecosystem, and the improvement of the tourism community's resilience is the key to the sustainable management of the tourism destination. By applying the factor analysis and path analysis, the paper built the measurement model of resilience cognition including social, economic, ecological and governance items respectively. Further, the paper analyzed complicated influence of vulnerability and response capability. The results are as follows:1) The cognition of community resilience can be extracted by 8 factors, and the governance flexibility is the most significant factor. 2) In total, the average value of the community resilience cognition is 2.42, which is in the mediocre level. The cognitive value of the social subsystem is the highest, but the ecological and economic subsystem is the lowest. We should pay attention to accumulation of ecological assets and diversity of economy. 3) There exist different intensities among the independent variables influencing resilience on the single and compound effects. Government response ability has the most impact on total resilience and each dimension; personal response ability and vulnerability are the weaker, especially personal response ability has no significant impact on most of resilience and its dimension. Government and residents need to participate in tourism development together.

Key words

community resilience cognition / measurement dimension and influence factors / path analysis / Qiandao Lake

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WANG Qun, LU Lin, YANG Xing-zhu. COGNITION MEASUREMENT AND INFLUENCE ANALYSIS OF TOURISM COMMUNITY RESILIENCE:A CASE STUDY OF QIANDAO LAKE[J]. HUMAN GEOGRAPHY. 2017, 32(5): 139-146 https://doi.org/10.13959/j.issn.1003-2398.2017.05.020

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