文献类型：期刊文献

中文题名：基于DEA-Malmquist指数模型的旅游业全要素生产率研究

英文题名：Total factor productivity and convergence of tourism industry based on the DEA-Malmquist index model

作者：张丽峰[1]

第一作者：张丽峰

机构：[1]北京联合大学旅游学院

第一机构：北京联合大学旅游学院

年份：2014

期号：7

起止页码：183-187

中文期刊名：干旱区资源与环境

外文期刊名：Journal of Arid Land Resources and Environment

收录：北大核心:【北大核心2011】；CSSCI:【CSSCI2014_2016】；CSCD:【CSCD2013_2014】；

基金：国家社科基金重点项目(编号:13AJY016)资助

语种：中文

中文关键词：旅游业;全要素生产率;DEA-Malmquist指数;分解;中国

外文关键词：tourism industry ; full factor productivity ; DEA - Malmquist index; decomposition ; China

摘要：旅游生产率能够反映一个国家旅游业的生产效率和竞争能力。运用DEA-Malmquist指数模型对我国旅游业全要素生产率进行了测度与分解。西藏、云南、新疆等7省由于技术效率逐年下降导致旅游业全要素生产率没有增长;北京、河北、上海等8省全要素生产率增长主要由于技术进步水平的提高,其他省份主要由于技术效率提高。全国旅游业全要素生产率年均增长2.5%,三大区域中东部旅游业全要素生产率增长最快,其次是中部,最后是西部,全国及东中部2004年后全要素生产率增速呈下降趋势,而西部呈逐渐上升趋势。全国及三大区域全要素生产率增长主要由于技术效率提高。表明我国旅游业增长粗放型特征明显,存在区域差距,发展后劲不足,不利于旅游业的可持续发展。
Tourism productivity can reflect national productivity and competitiveness. The research conducted the measure and decomposition of tourism industry total factor productivity using DEA - Malmquist index model. Tibet, Yunnan, Xinjiang and other seven provinces tourism TFP have not grow due to technical efficiencies dechne, and Beijing, Hebei, Shanghai and other eight provinces TFP growed which came from the technological progress; other provinces are mainly from technical efficiency. National Tourism TFP annual growth rate is 2. 5%, the east region is the fastest, followed by the middle region and finally the west region, the nation and the East Midlands TFP growth rate show declining trend after 2004, while the west region is gradually rising trend, national and three regional TFP growth mainly come from the technical efficiency. China＇s tourism growth has obviously extensive characteristics, there are regional difference, lacking of stamina tourism development, these are not conducive to the sustainable development of tourism.