中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels

文献类型:期刊论文

作者Xia, Bing1,2,3; Dong, Suocheng1; Ba, Duoxun3; Li, Yu1; Li, Fujia1; Liu, Haimeng1; Li, Zehong1; Zhao, Minyan1
刊名SUSTAINABILITY
出版日期2018-04-01
卷号10期号:4页码:22
关键词efficiency of tourism enterprises spatial differentiation DEA-Malmquist spatial autocorrelation Geodetector
ISSN号2071-1050
DOI10.3390/su10040901
通讯作者Dong, Suocheng(dongsc@igsnrr.ac.cn)
英文摘要Tourism is an important sustainable industry in the economy that optimizes the industrial structure. Thus, as a core part of this market, tourism enterprises perform a key role in the effective operation of this industry. This paper applies data envelopment analysis (DEA) and Malmquist index (MI) models to calculate the efficiency of Chinese tourism enterprises between 2005 and 2014. Results showed that: (1) The efficiency and the total factor productivity change index (TFPC) of tourism enterprises remained low, and both have decreased. (2) The efficiency of regional tourism enterprises across China cloud be characterized as high in the east region, low in the central region, and high in both northeast and western regions. (3) The efficiency levels of the cities of Beijing and Shanghai were ahead of the country over the period of this study, while Chongqing, Tibet, Qinghai, and Ningxia all possess a number of obvious advantages in the western region. (4) Centers of overall tourism enterprise efficiency mainly moved in a southeast-to-northwest direction over the period of this research. (5) The spatial autocorrelation of tourism enterprise efficiencies is also assessed in this study, and the results show that the comprehensive efficiency (CE) of tourism enterprises in southeastern coastal regions of China tended to a certain spatial agglomeration effect, while the correlation between the central region and northern China was not significant. (6) The Geodetector model is applied to analyze the key factors driving the spatial differentiation of tourism enterprise efficiencies, and the results show that the degree of opening to the outside world, potential human capital, and traffic conditions were the most important factors driving spatial differentiation in the efficiency of tourism enterprises.
WOS关键词DATA ENVELOPMENT ANALYSIS ; DESTINATION PERFORMANCE ; TECHNICAL EFFICIENCY ; STOCHASTIC FRONTIER ; BAYESIAN-APPROACH ; URBAN TOURISM ; DEA ; INDUSTRY ; PRODUCTIVITY ; BENCHMARKING
资助项目Science & Technology Basic Resources Investigation Program of China[2017FY101304]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000435188000005
出版者MDPI
资助机构Science & Technology Basic Resources Investigation Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/54651]  
专题中国科学院地理科学与资源研究所
通讯作者Dong, Suocheng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Northwest Normal Univ, Tourism Coll, Lanzhou 730070, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Xia, Bing,Dong, Suocheng,Ba, Duoxun,et al. Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels[J]. SUSTAINABILITY,2018,10(4):22.
APA Xia, Bing.,Dong, Suocheng.,Ba, Duoxun.,Li, Yu.,Li, Fujia.,...&Zhao, Minyan.(2018).Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels.SUSTAINABILITY,10(4),22.
MLA Xia, Bing,et al."Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels".SUSTAINABILITY 10.4(2018):22.

入库方式: OAI收割

来源:地理科学与资源研究所

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