Acta Geographica Sinica ›› 2010, Vol. 65 ›› Issue (8): 1004-1012.doi: 10.11821/xb201008011

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Efficiency Characteristics Analysis of Tourism Industry in China Based on the Method of DEA

TAO Zhuomin, XUE Xianwei, GUAN Jingjing   

  1. School of Geographic Science, Nanjing Normal University, Nanjing 210046, China
  • Received:2009-07-29 Revised:2010-04-15 Online:2010-08-20 Published:2010-08-20
  • Supported by:

    National Social Science Foundation of China, No.07BJY133; National Natural Science Foundation of China,No.40971289; No.D011103

Abstract:

By using the data envelopment analysis and through measuring the technical efficiency, scale efficiency as well as the total factor productivity, this paper analyzes the efficiency characteristics of the tourism industry development in China from 1999 to 2006. Some conclusions can be drawn as follows. (1) As the overall efficiency of tourism industry development in China from 1999 to 2006 is low, China's tourism industry fails to fully exploit the potential of the existing resources so that the total tourism input is maintained in a diseconomical status. (2) The mean value of pure technical efficiency in tourism industry is 0.658 from 1999 to 2006,which means the effective use of existing technology is lower and the potential of the technical progress is larger. (3) Tourism development in China's western provinces enjoys the advantage of late-development, and the technical progress efficiency increases faster in the provinces with lower technological efficiency. (4) The TFP growth rate varies remarkably in different provinces, which manifests the lower pattern in turn from east to west and central China. Moreover, this gap of TFP growth between regions still shows a trend of further expansion in regional tourism development efficiencies. Finally, in order to promote the transformation of growth mode and propel the high efficiency and sustainable development of the tourism industry in China, this paper puts forward the following suggestions based on the analysis results, i.e., to optimize the ratio of the input factors, integrate the industrial chain of tourism, perfect the innovation system of tourism industry, accelerate technological progress, and make preferential policies for regional development, etc.

Key words: tourism industry, data envelopment analysis, efficiency, total factor productivity