基于DEA-Malmquist指数模型的旅游业全要素生产率研究

发布时间：2018-01-24 01:18

本文关键词： 旅游业全要素生产率 DEA-Malmquist指数分解中国　出处：《干旱区资源与环境》2014年07期 　论文类型：期刊论文

【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。
[Abstract]:Tourism productivity can reflect the productivity and competitiveness of a country's tourism industry. The total factor productivity of tourism industry in China is measured and decomposed by using DEA-Malmquist index model. In Yunnan, Xinjiang and other 7 provinces, the total factor productivity of tourism has not increased due to the decline of technical efficiency year by year. The total factor productivity (TFP) growth in Beijing, Hebei and Shanghai is mainly due to the improvement of the level of technological progress, while in other provinces it is mainly due to the improvement of technological efficiency. The average annual growth rate of TFP in tourism industry is 2.5%. The total factor productivity (TFP) of tourism industry in the east and middle of the three regions has the fastest growth, followed by the central region, and finally the western region. After 2004, the total factor productivity growth rate of the whole country and the eastern central region has been decreasing. The increase of total factor productivity in China and the three major regions is mainly due to the improvement of technical efficiency, which indicates that the extensive characteristics of tourism growth in China are obvious, there is a regional gap, and the development of the lack of stamina. It is not good for the sustainable development of tourism.
【作者单位】：北京联合大学旅游学院;
【基金】：国家社科基金重点项目(编号:13AJY016)资助
【分类号】：F590;F224
【正文快照】： 改革开放以来,我国旅游业实现了跨越式发展,取得了显著成就,2011年全年共接待入境游客13542.35万人次,实现旅游外汇收入484.64亿美元,国内游客达到26.41亿人次,国内旅游收入为19305.39亿元,旅游总收入为22435.58亿元,占第三产业增加值的比重已达到11%,旅游业从业人员已达到204

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