摘要
文章以甘肃省5个典型的民族旅游社区为案例地,基于“风险—适应能力—敏感性”分析框架,构建了民族社区旅游从业者生计脆弱性评价体系。采用熵值法确定各指标权重大小,并利用多元线性回归模型对影响旅游从业者的生计脆弱性因素进行实证分析。结果表明:(1)民族社区旅游从业者面对自然风险、市场风险以及健康风险表现出较高的脆弱性。(2)不同民族社区的旅游从业者生计脆弱性各不相同,生计脆弱群体在年龄、收入、受教育程度等方面也存在显著差异。(3)总的来说,旅游从业者生计脆弱性随其生计风险及生计敏感性增加而提高,随其适应能力增强而降低。(4)家庭劳动力数量、受教育程度、年收入水平、获得信贷的能力等变量与旅游从业者生计脆弱性呈负相关,旅游淡旺季影响程度和自然灾害影响程度等变量与其生计脆弱性呈正相关。
Taking five typical ethnic tourism communities in Gansu Province as cases, this paper constructs the livelihood vulnerability evaluation system of tourism practitioners in ethnic communities based on the analysis framework of "risk-adaptive capabilities-sensitivity". Entropy method is used to determine the weight of each index, and multiple linear regression model is used to make an empirical analysis of the livelihood vulnerability factors affecting tourism practitioners. The results show that:(1) Tourism practitioners in ethnic communities show high vulnerability to natural risks, market risks and health risks.(2) The livelihood vulnerability of tourism practitioners in various ethnic communities is different, and the vulnerable groups also have significant differences in age, income,education level and other aspects.(3) In general, the livelihood vulnerability of tourism practitioners increases with the rise of their livelihood risk and livelihood sensitivity, and decreases with the enhancement of their adaptability.(4) The number of family labor force,education level, annual income level, access to credit and other variables are negatively correlated with the livelihood vulnerability of tourism practitioners, while the effect degree of tourism low-peak season and the effect degree of natural disasters are positively correlated with the livelihood vulnerability of tourism practitioners.
作者
梁旺兵
易义湘
LIANG Wang-bing;YI Yi-xiang
出处
《青海民族研究》
CSSCI
北大核心
2022年第1期47-55,共9页
Qinghai Journal of Ethnology
基金
国家社科基金项目“近20年来西北民族地区旅游发展及其影响研究”(批准号:14BMZ069)
2017年度西北师范大学青年教师科研能力提升骨干计划项目“居民对旅游影响的感知与态度的研究”阶段性成果。
关键词
民族旅游社区
旅游从业者
生计脆弱性
影响因素
Ethnic Tourism Community
Tourism Practitioners
Livelihood Vulnerability
Influencing Factors
