Research on the Input-output Efficiency of Tourism Industry in Anhui Province based on DEA Model

Xiaoqian Chen

doi:10.54097/ijeh.v5i2.2147

Authors

Xiaoqian Chen

DOI:

https://doi.org/10.54097/ijeh.v5i2.2147

Keywords:

DEA model, Input-output efficiency, Tourism industry.

Abstract

As a pillar industry in the tertiary industry, the efficiency of its input and output is crucial to social and economic development. This paper takes Anhui tourism industry as the object of model validation, selects the number of star-rated hotels, the number of travel agencies and the number of tourism employees as input indicators, and the domestic tourism revenue and international tourism foreign exchange revenue of Anhui Province as output indicators, and analyzes the evaluation results of tourism input-output efficiency of Anhui Province from 2005 to 2017 using DEA model. The results of the study show that the technical efficiency and scale efficiency of Anhui tourism industry both show a wave-like rise, and should continue to optimize the allocation of resources and give full play to the advantages of tourism.

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References

Li,Q., & Luo, G.(2022). Research on the economic efficiency of Nanjing's tourism industry based on DEA model. Management and Administration, 03, 187-192.

Mao,Y.(2021). Research on Tourism Efficiency in Henan Province Based on DEA-Malmquist Index. Tourism Overview,21,126-129.

Morey, R. C., & Dittman, D. A. (1995). Evaluating a hotel GM's performance: A case study in benchmarking. Cornell Hotel and Restaurant Administration Quarterly, 36(5), 30-35.

Bishop, P., & Brand, S. (2003). The efficiency of museums: a stochastic frontier production function approach. Applied Economics, 35(17), 1853-1858.

Wen,Y. & Zheng,X.M.(2013). Evaluation of cost control efficiency of listed tourism companies based on DEA model. Journal of Beijing International Studies University,1,55-61.

Wang,K., Xia,L.H., Chen,Q.C., & Liu,H.L.(2018). Carbon Emission Efficiency of China's Tourism Industry Based on Spatial Clustering Analysis. Research of Environmental Sciences,31(03),419-427.

Xu,D., Huang,Z.F., Hu,X.H., Lu,L., & Cao,F.D.(2018). The evolution of the spatial pattern of tourism efficiency in Zhejiang counties and its influencing factors. Economic Geography,38(05),197-207.

Wang, Z.F. & Liu,Q.F.(2019). Spatial and temporal evolution of tourism eco-efficiency in the Yangtze River Economic Belt and its influencing factors. Resources and Environment in the Yangtze Basin,28(10),2289-2298.

Xie,M.(2019). Research on Tourism Efficiency of South Anhui International Cultural Tourism Demonstration Zone Based on DEA-MI Model. Journal of Anqing Normal University (Natural Science Edition), 25(04),25-29.

Sun,H.B., Xu,N. & Song,Z.F.(2021). Research on the evaluation of tourism efficiency in China's red tourism cities based on data envelope model. China Tourism Review,02,13-25.