基于DEA-Malmquist模型的中国星级饭店经营效率时空演化研究

发布时间：2018-03-02 05:37

本文关键词： 星级饭店技术效率 DEA-Malmquist模型时空演化影响因素　出处：《地理科学》2017年03期 　论文类型：期刊论文

【摘要】：构建DEA-Malmquist模型,实证分析中国31个省市区星级饭店2004~2014年技术效率的时空演化特征,通过TOBIT模型分析了技术效率的影响因素。结果显示:星级饭店的技术效率逐年提升,东部地区显著高于中西部地区;星级饭店全要素生产率整体有所提升,东部地区高于中西部地区;经济水平、旅游人次、产业结构和区域开放度等因素对星级饭店技术效率提升具有显著正向影响,而旅游收入、人口城镇化、基础设施和信息化则具有负向影响。针对新常态下星级饭店的效率问题,提出要提升饭店发展质量,切实提高技术效率,重视高新技术应用,持续优化饭店发展环境。
[Abstract]:This paper constructs DEA-Malmquist model, empirically analyzes the space-time evolution characteristics of technical efficiency of star-rated hotels in 31 provinces and municipalities of China from 2004 to 2014, and analyzes the influencing factors of technical efficiency through TOBIT model. The results show that the technical efficiency of star-rated hotels is improving year by year. The eastern region is significantly higher than the central and western regions, the total factor productivity of star-rated hotels has been improved as a whole, the eastern region is higher than the central and western regions, the economic level, the number of tourists, Factors such as industrial structure and regional openness have a significant positive impact on the technical efficiency of star-rated hotels, while tourism income, population urbanization, infrastructure and information have a negative impact on the efficiency of star-rated hotels under the new normal state. It is necessary to improve the quality of hotel development, improve the technical efficiency, attach importance to the application of high and new technology, and continuously optimize the hotel development environment.
【作者单位】：吉首大学商学院;
【基金】：湖南省社科基金项目(12JD61,14JD49) 应用经济学湖南省重点学科支持项目湖南西部经济发展研究基地项目(15jdzb002)资助~~
【分类号】：F224;F719.3

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