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机构地区:[1]中山大学旅游学院,广东广州510275 [2]暨南大学管理学院,广东广州510632
出 处:《旅游学刊》2015年第9期72-81,共10页Tourism Tribune
基 金:国家自然科学基金项目"旅游发展对城市社会空间及生活质量的影响机制与调控研究"(41301146);中央高校基本科研业务费专项资金"基于旅游绅士化理论的旅游发展与城市社会空间互馈机制研究"(40000-3161113);广东省普通高校人文社会科学重点研究基地暨南大学企业发展研究所经费共同资助~~
摘 要:以往关于旅游发展对城市居民生活质量影响研究中,将城市居民视为同质群体的做法既难以减少非旅游因素的干扰,又无法凸显旅游对生活质量的直接作用。文章以广州5个城市景区为例,聚焦于居民中的旅游非正规就业者,通过对151份便利和滚雪球抽样样本的分析,研究他们生活质量的构成领域,并比较不同就业者生活质量的差异。结果表明,不同于其他居民,旅游非正规就业者更关注休闲娱乐、工作前景、家庭生活、工作状况、社会交际、消费与安全、能力发展和生活条件8个领域,解释量为58.3%。在解释量较大的领域,幸福感普遍较低。研究进一步表明,不同人口特征和从业状况的就业者在生活质量的大多数领域幸福感差别不大,他们总体生活幸福感高度相似,且幸福感处于中等水平。Tourism development has many effects on residents' daily life. Over the past decade, tourism and its impact on peoples' quality of life (QOL) have received a great deal of attention. However, few studies have directly investigated the relationship between tourism and residents' QOL. This study is an attempt to go beyond tourism impact research and explore tourism' s influence on the QOL of local residents, especially focusing on those informal employees in tourism. The QOL of local residents who engage in or are otherwise dependent on informal employment in tourism is less affected by other nontourism factors. Moreover, this study further explores the QOL differences among residents with various demographic characteristics and working conditions. It was unrealistic to conduct the research using a large sampling because the group of informal employees is small. A face-to-face interview survey using a structured questionnaire was conducted with a convenience and snowball sample of informal employees from five typical tourism scenic spots (Baiyun Mountain, Nansha Bay, Canton Tower, Xiaozhou Village, and Huangpu Ancient Port) in Guangzhou City. Altogether 175 questionnaires were collected, but only 151 questionnaires were subjected to final data analysis because some were excluded due to incompleteness or logical contradiction of the questionnaires. The questionnaire included three sections. The first section involves a scale measuring perceived QOL impacts of tourism, which was adjusted from the scale of subjective well-being (SWB). The second section concerns the demographics (age, gender, education, and personal monthly income). The third section relates to the working conditions of these informal employees, including their work status, years of working, working hours per day, investment, part-time or full-time, and working place. A factor analysis was conducted to develop QOL domains of informal employees. A further series of multivariate linear regression analyses were performed to test t
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