Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels

doi:10.3390/su10040901

	Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises' Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels
	Xia, Bing 1,2,3; Dong, Suocheng 1; Ba, Duoxun 3; Li, Yu 1; Li, Fujia 1; Liu, Haimeng 1; Li, Zehong 1; Zhao, Minyan 1
刊名	SUSTAINABILITY
	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
DOI	10.3390/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.
资助项目	Science & Technology Basic Resources Investigation Program of China[2017FY101304]
WOS关键词	DATA ENVELOPMENT ANALYSIS ; DESTINATION PERFORMANCE ; TECHNICAL EFFICIENCY ; STOCHASTIC FRONTIER ; BAYESIAN-APPROACH ; URBAN TOURISM ; DEA ; INDUSTRY ; PRODUCTIVITY ; BENCHMARKING
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000435188000005
资助机构	Science & Technology Basic Resources Investigation Program of China
内容类型	期刊论文
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.