地理科学 ›› 2017, Vol. 37 ›› Issue (3): 406-415.doi: 10.13249/j.cnki.sgs.2017.03.011

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基于DEA-Malmquist模型的中国星级饭店经营效率时空演化研究

张琰飞()   

  1. 吉首大学商学院, 湖南 吉首 416000
  • 收稿日期:2016-02-23 修回日期:2016-06-10 出版日期:2017-03-20 发布日期:2017-03-20
  • 作者简介:

    作者简介:张琰飞(1983-),男,河南宝丰人,副教授,博士,研究方向为区域经济与旅游管理。E-mail:feige205@163.com

  • 基金资助:
    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

Spatial and Temporal Evolution of Star-rated Hotels’ Efficiency in China Based on DEA-Malmquist Model

Yanfei Zhang()   

  1. School of Business, Jishou University, Jishou 416000, Hunan, China
  • Received:2016-02-23 Revised:2016-06-10 Online:2017-03-20 Published:2017-03-20
  • Supported by:
    Philosophy and Social Science Foundation of Hunan(12JD61, 14JD49), Applied Economics of Key Disciplines in Hunan, Research Base for Economic Development of Western China in Hunan (15jdzb002)

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。

关键词: 星级饭店, 技术效率, DEA-Malmquist模型, 时空演化, 影响因素

Abstract:

With the appearing of new industry formats, the star-rated hotels have become an important driving force for the tourism industry development, and there is important practical significance to explore the management efficiency of star-rated hotels for the upgrading and innovation of tourism industry in China. Using panel data of the star-rated hotels of 31 provinces in China in 2004-2014, the article empirically analyzed spatial and temporal evolution characteristics of comprehensive technical efficiency and Malmquist indexes on the star-rated hotels by constructing the DEA-Malmquist model, and analyzed the influencing factors of their technical efficiency through building panel TOBIT regression model. The results showed that: Comprehensive technical efficiency of star-rated hotels increased year by year, but the efficiency value was still relatively low, and the low pure technical efficiency was the main constraints because of the scale efficiency changed little; Technology efficiency in 2013 and 2014 had significantly fallen compared to previous years, but the descent degree of 2014 had become smaller; Comprehensive technical efficiency in Eastern China was significantly higher than that of the Central and Western China, which was mainly because of its higher pure technical efficiency. The Malmquist indexes of star-rated hotels was overall enhancing in 2004-2014, and the technical progress change index was the main driving force to the ascension, though there were also violent annual fluctuations in some period; The Malmquist indexes in 2004-2010 was in a steady growth stage, and that of 2010-2014 was in a volatile fluctuation stage, especially the sharp decline in 2012-2013; Malmquist indexes in Eastern China was higher than that of the Central and Western China, which was mainly because of its significant advantages in technical progress. The technical efficiency of star-rated hotels was affected by many factors in China. The effects of the economic development level, the tourist number, the industry structure and the regional opening degree on the efficiency were significantly positive, while the impacts of the tourism income, the population urbanization, the infrastructure level and the informatization level were significantly negative. Therefore, in order to enhance the technical efficiency level of star-rated hotels, it needs to improve the tourism development quality, and adjust the industrial structure, and pay attention to the soft environment optimization for regional development, and deal with the challenges of informationization and other factors. To the development problems of the technical efficiency of star-rated hotels under the “New Normal Economy”, it needs to focus on improving the hotels’ development quality, effectively improve hotels’ operational efficiency, pay more attention to the advanced technology application, continuously optimize hotels’ development environments and so on.

Key words: star-rated hotels, technical efficiency, DEA-Malmquist model, spatial and temponal evolution, influencing factors

中图分类号: 

  • F590.6