四川省21个市(州)旅游效率评价及其影响因素研究  

Evaluation of Tourism Efficiency and Its Influencing Factors in 21 Cities or Prefectures in Sichuan Province

作　　者：李广宏 杨文静 LI Guanghong;YANG Wenjing(College of Tourism and Landscape Architecture,Guilin University of Technology,Guilin,Guangxi 541006,China)

机构地区：[1]桂林理工大学旅游与风景园林学院,广西桂林541006

出　　处：《重庆科技大学学报(社会科学版)》2025年第1期25-39,共15页Journal of Chongqing university of science and technology(social science edition)

基　　金：广西民族旅游研究中心基金资助项目“国际旅游胜地背景下桂林传统戏曲数字化保护与传承研究”(MZLY04)。

摘　　要：旅游效率提升是促进旅游业高质量发展战略目标实现的重要途径。以四川省21个市(州)为例,采用DEA-Malmquist模型对其2015—2022年的旅游效率进行综合分析,并使用Tobit回归模型探讨影响因素。研究结果表明:四川省旅游效率变化趋势呈先升后降;旅游全要素生产率在波动中下降;地区旅游发展不平衡;各经济区间效率变化差异显著;各城市效率类型分层明显;旅游效率受交通、基础设施制约;对外开放、人力资源、政府干预及产业结构对效率提升具有积极作用。Improving tourism efficiency is key to the strategic goal of high-quality tourism development.Based on 21 cities or prefectures in Sichuan Province as examples,it employs DEA-Malmquist model to comprehensively analyze their tourism efficiency during the period from 2015 to 2022,and employs Tobit regression model to explore the influencing factors.The results show that tourism efficiency in Sichuan Province is characteristic of increase first and decrease next;total factor productivity of tourism decreases among fluctuations;tourism development is imbalanced across regions;efficiency changes across economic regions are highly different;efficiency types across cities are obviously stratified;tourism efficiency is restricted by transportation and infrastructure;and the opening-up,human resources,government intervention and industrial structure all have a positive effect on the efficiency improvement.

关 键 词：DEA-Malmquist指数模型 TOBIT模型 旅游效率 旅游业 四川省 

分 类 号：F592[经济管理—旅游管理]