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Tourism Industry’s Efficiency Dataset of the Coastal Areas of China(1999-2012)

LIU Jia1LU Ju1LIU Ning2
1Ocean University of China School of Management Qindao266071 China2Qingdao University of Technology Qingdao266330 China


Published:Jun. 2016

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Key Words:

DEA-Malmquist,tourism industry,efficiency,China,coastal areas,Resources Science


Based on the statistics of the development of coastal tourism of China, three tourism areas had been identified, they are: Bohai Rim Area, covering Tianjin city, Hebei, Liaoning and Shandong provinces, Yangtze River Delta area, covering Shanghai city, Jiangsu and Zhejiang provinces, and the Pan-Pear Delta area, covering Fujian, Guangdong, Guangxi and Hainan provinces. Using the Decision Making Unit-DMU and the Malmquist methods, and the tourism industry statistics data from 1999-2012, the input-output model was established and the tourism industry’s efficiency data were calculated. The dataset is consisted of 5 tables, they are: Table 1 Comprehensive efficiency of three coastal areas from 1999 to 2012,Table 2: Pure technical efficiency of three coastal areas from 1999 to 2012; Table 3: Scale efficiency of three coastal areas from 1999 to 2012, Table 4 Comprehensive efficiency for coastal area in 1999,2006 and 2012; Table 5: Malmquist productivity of tourism industry for coastal area in 2000,2006 and 2012. The dataset is archived at .xlsx format with 18KB. The analysis paper on these data was published at the Journal of Resources Science, No. 12, Vol. 37, 2015.

Foundation Item:

National Social Science Foundation of China (12CGL059), National Torism Agency of China (TYETP201322)

Data Citation:

LIU Jia,LU Ju,LIU Ning.2016.Tourism Industry’s Efficiency Dataset of the Coastal Areas of China(1999-2012) ( TourIndustryEfficienCoastChina_1999-2012 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.03.01.V1

Data Product:

ID Data Name Data Size Operation
1 TourIndustryEfficienCoastChina_1999-2012.xlsx 17.56kb DownLoad

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China


Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

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