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Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels
Xia, Bing1,2,3; Dong, Suocheng1; Ba, Duoxun3; Li, Yu1; Li, Fujia1; Liu, Haimeng1; Li, Zehong1; Zhao, Minyan1
2018-04-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume10Issue:4Pages:22
Corresponding AuthorDong, Suocheng(dongsc@igsnrr.ac.cn)
AbstractTourism 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.
Keywordefficiency of tourism enterprises spatial differentiation DEA-Malmquist spatial autocorrelation Geodetector
DOI10.3390/su10040901
WOS KeywordDATA ENVELOPMENT ANALYSIS ; DESTINATION PERFORMANCE ; TECHNICAL EFFICIENCY ; STOCHASTIC FRONTIER ; BAYESIAN-APPROACH ; URBAN TOURISM ; DEA ; INDUSTRY ; PRODUCTIVITY ; BENCHMARKING
Indexed BySCI
Language英语
Funding ProjectScience & Technology Basic Resources Investigation Program of China[2017FY101304]
Funding OrganizationScience & Technology Basic Resources Investigation Program of China
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000435188000005
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54652
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDong, Suocheng
Affiliation1.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
Recommended Citation
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.
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