黄河中下游旅游效率评价及影响因素分析  

Evaluation of tourism efficiency in the middle and lower reaches of the Yellow River

作　　者：胡炜霞[1,2] 张玉芳 HU Weixia;ZHANG Yufang(School of History,Tourism and Culture,Shanxi Normal University,TaiYuan 030000,China;School of Geographical Sciences,Shanxi Normal University,TaiYuan 030000,China)

机构地区：[1]山西师范大学历史与文化旅游学院,太原030000 [2]山西师范大学地理科学学院,太原030000

出　　处：《干旱区资源与环境》2022年第7期187-193,共7页Journal of Arid Land Resources and Environment

基　　金：山西省黄河生态文化研究院项目《山西黄河旅游精品带高质量发展规划》(HH202007);山西省社科联项目《山西省黄河旅游板块开发促进沿黄地区乡村振兴研究》(SSKLZDKT2018038)资助。

摘　　要：研究旅游效率是旅游业高质量发展的重要课题。文中以黄河中下游地区为研究对象,以其5省的63个地市为分析单元,采用DEA-BCC模型和DEA-Malmquist指数对旅游效率进行综合测度,并在此基础上采用受限因变量Tobit模型分析其影响因素,以期对黄河中下游地区旅游业提质增效、转型升级及高质量发展提供参考。结果表明:1)2010-2019年黄河中下游地区综合效率、纯技术效率、规模效率均处于中等效率水平,空间上呈现中间高两侧低的分布特征。2019年黄河中下游地区各地级市规模报酬中呈现减少趋势的地市共25个、保持不变趋势的地市14个、呈现增加趋势的24个。2)2010-2019年黄河中下游地区旅游发展的全要素生产率指数以年均11.3%的速度上升,地区旅游产业集约化程度逐渐提升。技术进步是全要素生产率保持正向增长的主要原因。3)黄河中下游地区旅游效率主要受旅游产业结构、旅游服务水平的正向影响,受经济发展水平、旅游资源禀赋的负向影响。Research on tourism efficiency is an important topic for the high-quality development of tourism.This article used the DEA-BCC model and the DEA-Malmquist index to comprehensively measure tourism efficiency based on 63 cities in 5 provinces in the middle and lower reaches of the Yellow River.On this basis,the restricted dependent variable Tobit model was used to analyze its influencing factors,in order to provide reference for the improvement of quality and efficiency,transformation and upgrading and high-quality development of tourism in the middle and lower reaches of the Yellow River.The results show that:1)From 2010 to 2019,the comprehensive efficiency,pure technical efficiency and scale efficiency of all prefecture-level cities in the middle and lower reaches of the Yellow River were at the medium efficiency level,showing the spatial distribution characteristics of high in the middle and low on both sides.In 2019,the scale rewards of prefecture-level cities in the middle and lower reaches of the Yellow River showed a decreasing trend in 25 cities,a constant trend in 14 cities and an increasing trend in 24 cities.2)From 2010 to 2019,the total factor productivity index of tourism development in this region increased at an average annual rate of 11.3%,and the intensive degree of regional tourism industry gradually increased.Technological progress was the main reason for the positive growth of total factor productivity.3)Tourism efficiency of prefecture-level cities in the region was mainly positively influenced by tourism industry structure and tourism service level,and negatively influenced by economic development level and tourism resource endowment.

关 键 词：旅游效率 影响因素 TOBIT模型 黄河中下游地区 

分 类 号：F590[经济管理—旅游管理]