基于DEA模型的区域旅游资源配置效率研究
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1. 中南林业科技大学 旅游学院,长沙 410004;2. 中南林业科技大学 物流与交通学院,长沙 410004;3. 湖南师范大学 商学院,长沙 410081

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E-mail: chinarenteng@163.com.

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X24

基金项目:

国家自然科学基金项目(71801091);湖南省社会科学成果评审委员会项目(XSP20YBC127);中南林业科技大学青年科学基金项目(2018QY003).


Research on efficiency of regional tourism resources allocation based on DEA model
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Affiliation:

1. School of Tourism,Central South University of Forestry and Technology,Changsha 410004,China;2. School of Logistics and Transportation,Central South University of Forestry and Technology,Changsha 410004,China;3. School of Business,Hunan Normal University,Changsha 410081,China

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    摘要:

    探讨中国旅游业资源配置效率对优化旅游业资源配置、推进旅游业可持续发展进程具有重要意义.通过构建考虑碳排放的投入产出指标体系,运用两阶段数据包络分析(DEA)模型对我国30个省市区的旅游业资源配置效率进行评价分析,进而采用Tobit模型探究全国及东中西部地区旅游业资源配置效率的影响因素.结果表明,我国省市区旅游业普遍存在资源配置效率失效的问题,总体效率呈现出“西部最高、东部次之、中部最低”的态势.其中,旅游业经济-社会效率偏低是导致旅游业资源配置效率水平不高的主要原因,众多影响因素中环境规制对旅游业资源配置效率的影响最大.

    Abstract:

    It is of great significance to explore the efficiency of China's tourism resource allocation for optimizing the allocation of tourism resources and promoting the sustainable development of tourism. By constructing the input-output index system considering carbon emissions, this paper uses the two-stage data envelopment analysis (DEA) model to evaluate and analyze the efficiency of tourism resource allocation in 30 provinces and cities in China, and then uses the Tobit model to explore the influencing factors of tourism resource allocation efficiency in the whole country, east, central and western regions. The results show that the efficiency of resource allocation is generally invalid in the tourism industry of provinces and cities in China, and the overall efficiency is “the highest in the west, the second in the east, and the lowest in the middle”. Among them, the low economic and social efficiency of tourism industry is the main reason for the low efficiency of tourism resource allocation. Among many factors, environmental regulation has the greatest impact on the efficiency of tourism resource allocation.

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李思迪,李姝萱,钟永德,等.基于DEA模型的区域旅游资源配置效率研究[J].控制与决策,2022,37(8):1945-1954

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  • 在线发布日期: 2022-06-29
  • 出版日期: 2022-08-20
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