摘要
旅游交通是旅游过程的重要环节,也是旅游碳足迹总量占比最大的一部分,因此,旅游交通碳足迹的科学计算和影响因素研究有利于实现低碳旅游。文章基于终端消费理论,采用旅游交通碳足迹估算模型作为研究工具,研究表明,2017年我国旅游交通碳足迹总量为5832.08万吨。运用STIRPAT模型和协整检验分析旅游交通碳足迹的影响因素,研究表明,游客周转量和人均旅游消费与旅游交通碳足迹呈正相关关系,提高能源效率能有效地减少旅游交通碳足迹。最后,根据研究结论,提出减少旅游交通碳足迹四点对策与建议。
Tourism transportation is an important part in tourism process and also the largest part of the total carbon footprint in tourism. Therefore,scientific calculation and influencing factors of the tourism transportation carbon footprint are conducive to realization of low-carbon tourism. Based on the theory of terminal consumption,this paper adopts a carbon footprint estimation model for tourism transportation as a research tool. The research shows that the total carbon footprint of China＇s tourism transportation in 2017 is 58.832 million tons. STIRPAT model and co-integration test are adopted to analyze influencing factors of tourist traffic carbon footprint.The result shows that there is a positive correlation between tourist turnover and per capita tourism consumption and tourism transport carbon footprint. Increasing energy efficiency can greatly reduce the carbon footprint of tourism transportation. Finally,in view of the research conclusions,four counter-measures and suggestions are proposed to reduce the carbon footprint of tourism transport.
作者
伍卓
齐涛
WU Zhuo, QI Tao(University of South China, Hengyang 421001, China)
出处
《南华大学学报（社会科学版）》
2018年第3期78-85,共8页
Journal of University of South China(Social Science Edition)
关键词
旅游交通碳足迹
终端消费
STIRPAT模型
协整检验
tourism transport carbon tootprint
tenninal consumption
STIRPAT model
co-integration test
作者简介
伍卓（1963-），女，湖南衡阳人，南华大学经济与法学院教授，博士。;南华大学经济与法学院硕士研究生。
