张家界旅游景区低碳行为实证研究

发布时间：2018-02-07 13:31

本文关键词： 旅游景区(点) 低碳行为指标体系冗余分析张家界　出处：《湖南师范大学》2013年硕士论文　论文类型：学位论文

【摘要】：全球气候变化已成为人类所面临的重大问题,经济活动中的碳排放是引起气候变化的关键因素之一。随着旅游业的迅速发展并成为世界第一大产业,其能源消耗与碳排放对全球气候变化产生的影响不容忽视。旅游景区作为旅游产业链中的核心环节,承载着吸引旅游消费以及辐射旅游产业面的重任,是旅游目的地环境保护中最为重要的责任主体之一。在不同的环境政策和旅游市场需求约束下,景区会产生不同的价值取向和行为选择,而景区的行为将直接影响甚至决定其环境表现,进而影响到目的地环境质量。有鉴于此,本文以世界自然遗产地张家界为研究标耙,对其旅游景区低碳行为作出系统评价,并在此基础上探讨影响景区低碳行为的内外部关键因素,进而寻求促进旅游景区改善低碳行为的最优方式,以期为世界遗产地相关环境规制政策的制定以及旅游景区的低碳化管理决策提供理论和实践参考。论文对研究内容进行逻辑性较强的结构安排,共分为以下七章：第一章为绪论部分,阐述选题背景和意义,总结国内外研究现状,并介绍研究方法、技术路线。第二章为理论基础部分,以低碳经济理论、ABC理论和利益相关者理论来支撑论文的框架,基于本研究特性,提出张家界景区利益相关者图谱。第三章为数据获取与处理部分,通过专家意见法和层次分析法,构建低碳行为评价量表,并确定相应指标的权重；基于张家界景区利益相关者图谱,构建其低碳行为影响因素量表；对量表进行信度与效度分析；选取张家界32个景区(点)为调查对象。第四章为实证部分,张家界景区低碳行为评价,结合权重计算出各个景区(点)的低碳行为(LCP)并进行排名；通过单因素方差分析和Bonferroni多重比较检验A、B、C三组不同等级的旅游景区(点)低碳行为各指标的差异显著性。第五章为张家界景区低碳行为影响因素分析部分,首先运用Pearson相关分析初步判定影响景区低碳行为(LCP)的关键因素,进而在Canoco4.5软件环境中进行冗余分析(Redundancy Analysis, RDA),以提取能显著解释LCP的指标,最后应用CanoDraw作图。第六章为对策部分,分别从政府部门、景区投资者、其他景区、旅游者和社区居民等景区利益相关者的角度,提出优化景区低碳行为的对策和建议。第七章为研究结论与展望部分,总结主要研究结论、创新点以及研究不足与研究展望。
[Abstract]:Global climate change has become a major problem facing mankind. Carbon emissions from economic activities are one of the key factors causing climate change. With the rapid development of tourism, it has become the largest industry in the world. The impact of energy consumption and carbon emissions on global climate change can not be ignored. As a core link in the tourism industry chain, tourist attractions bear the heavy burden of attracting tourism consumption and radiation tourism industry. It is one of the most important responsible subjects in the environmental protection of tourism destination. Under the constraints of different environmental policies and tourism market demand, scenic spots will produce different value orientation and behavior choice. The behavior of the scenic spot will directly affect or even determine its environmental performance, and then affect the environmental quality of the destination. In view of this, this paper makes a systematic evaluation of the low-carbon behavior of the scenic spot in Zhangjiajie, a natural heritage site of the world. On the basis of this, the paper discusses the key internal and external factors that affect the low-carbon behavior of scenic spots, and then seeks the best way to promote the improvement of low-carbon behavior in tourist attractions. It is expected to provide theoretical and practical reference for the formulation of environmental regulation policies and the decision of low-carbon management of tourist attractions. The thesis has a logical structure arrangement for the research content, which is divided into the following seven chapters:. The first chapter is the introduction, which describes the background and significance of the topic, summarizes the current research situation at home and abroad, and introduces the research methods and technical routes. The second chapter is the theoretical foundation part, which supports the framework of the paper with the theory of low-carbon economy and stakeholder theory. Based on the characteristics of this study, the stakeholder map of Zhangjiajie scenic spot is proposed. The third chapter is the data acquisition and processing part, through the expert opinion method and the analytic hierarchy process method, constructs the low carbon behavior appraisal scale, and determines the corresponding index weight; based on the Zhangjiajie scenic spot stakeholder map, Construct its low carbon behavior influencing factors scale; analyze the reliability and validity of the scale; select 32 scenic spots in Zhangjiajie as the survey object. Chapter 4th is the empirical part, Zhangjiajie scenic spot low carbon behavior evaluation, combined with the weight of each scenic spot (point) to calculate the low carbon behavior (LCPP) and ranking; Single factor variance analysis (ANOVA) and Bonferroni multiple comparison were used to test the significant difference of low carbon behavior among three groups of different grades of scenic spots (spots). Chapter 5th is the analysis of influencing factors of low-carbon behavior in Zhangjiajie scenic area. Firstly, the key factors of influencing low-carbon behavior in Zhangjiajie Scenic area are preliminarily determined by using Pearson correlation analysis. Then redundancy analysis was carried out in the Canoco4.5 software environment to extract the indexes that could explain LCP significantly. Finally, CanoDraw was used to map. Chapter 6th is the countermeasure part. From the angle of the stakeholders such as the government, investors, other scenic spots, tourists and community residents, this paper puts forward the countermeasures and suggestions to optimize the low-carbon behavior of scenic spots. Chapter 7th is the part of research conclusion and prospect, which summarizes the main research conclusions, innovation points, research deficiencies and research prospects.
【学位授予单位】：湖南师范大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F592.7

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