运营效率的空间相关性网络结构及其驱动因素:中国星级酒店的案例研究
Jilei Tao1, Xiulong Jin1, Hai Cheng2
1School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China.
PloS one
|November 14, 2024
概括
分析中国星级酒店的运营效率,发现了密集和层次化的空间网络. 东部省份扮演核心角色,推动效率,而西部和东北部地区则是被动的. 经济因素影响这种网络结构.
科学领域:
- 旅游管理 旅游管理
- 区域经济学 区域经济学
- 空间分析 空间分析
背景情况:
- 高质量的星级酒店的发展对旅游业至关重要.
- 了解酒店运营效率的空间网络相关性是很重要的.
- 以前的研究还没有充分探索酒店运营效率的动态空间网络结构.
研究的目的:
- 探索2013年至2022年中国星级酒店运营效率的空间网络结构的不断变化的特征.
- 确定驱动这种空间网络结构的基本机制.
- 为加强酒店行业的跨区域合作提供见解.
主要方法:
- 超级DEA模型用于效率评估.
- 修改重力模型用于空间相关性分析.
- 社会网络分析用于绘制和分析网络结构.
主要成果:
- 平均运营效率为0.618,空间模式为东部 > 中部 > 西部 > 东北.
- 空间相关性网络表现出密集,层次和强化.
- 东部省份 (如北京,上海) 是主要的参与者,而西部/东北部省份 (如黑龙江,西藏) 是被动的参与者.
- 东部/中部省份从净收益和双向溢出效应中受益,而西部/东北部省份则经历了净溢出.
- 经济发展,消费水平和靠近省会的距离影响了网络结构.
结论:
- 酒店运营效率的空间网络是动态的,区域差异化.
- 中央参与者在网络中发挥着关键作用,影响整个地区的效率.
- 政策干预应考虑区域经济差异,并促进合作机制,以优化空间网络结构,提高酒店的运营效率.
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