African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4082

Full Length Research Paper

Exploring the efficiency of international tourism development in an emerging market

Meng-Chun Kao1, Che-Yang Lin1*, Mei-Chi Lai2 and Hao-Chen Huang3
1Department of Finance, Yuanpei University, No.306, Yuanpei Street, Hsinchu 30015, Taiwan, R.O.C. 2Institute of Health Policy and Management, National Taiwan University, 6F., No.17,Syujhou Road, Taipei, 100, Taiwan, R.O.C. 3Graduate Institute of Finance, Economics, and Business Decision, National Kaohsiung University of Applied Sciences, No. 415, Chien Kung Road, Kaohsiung, 807, Taiwan, R.O.C.  
Email: [email protected]

  •  Accepted: 23 June 2011
  •  Published: 04 September 2011


This work combines several analytical techniques, including data envelopment analysis (DEA) models and the canonical analysis model, in order to shed new light on the relative efficiency of international tourism development. This study analyzes the international tourism development in the 31 regions of China. For the analysis, we take the following inputs into consideration: the number of international travel agencies, employees of international travel agencies. As regards the outputs, we choose the number of international tourists, sales for international travel agencies,and foreign exchange earnings from travel. In the first stage, we use the canonical analysis model to investigate the correlations of related variables. In the second stage, we adopt DEA models, including Charnes, Cooper, and Rhodes (CCR),Banker, Charnes, and Cooper (BCC) and slacks-based measure (SBM), to analyze the relative efficiency of international tourism development. Finally, we provide some management suggestions for the development of international tourism industry in emerging China.


Key words: International tourism industry, canonical analysis, data envelopment analysis (DEA), slacks-based measure (SBM).