Efficiency Analysis of Provincial Tourist Attractions in China Based on DEA-Malmquist Model

DOI

10.2991/emle-17.2017.32How to use a DOI?

Keywords

tourist attractions; efficiency; DEA; Malmquist index

Abstract

This paper analyzes the static efficiency and dynamic efficiency of provincial tourist attractions in China from 2004 to 2015 by using DEA-Malmquist model. Research founding: It is found that the overall technical efficiency of tourist attractions in China is not high, so there is still a large room for improvement, and the pure technical efficiency is the short board. Judging from the three regions, comprehensive technical efficiency in the eastern region is the highest while that of the central region is the lowest. From the three time sections of 2004, 2009 and 2015, it can be seen that the number of provinces with increasing returns to scale is increasing. Malmquist index analysis shows that the total factor productivity of tourist attractions in China as a whole continues to progress, but the provinces can be divided into three types of rapid growth, growth and regression.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhen Su
AU  - Huike Shi
AU  - Chuanyang Ren
PY  - 2017/12
DA  - 2017/12
TI  - Efficiency Analysis of Provincial Tourist Attractions in China Based on DEA-Malmquist Model
BT  - Proceedings of the 3rd International Conference on Economics, Management, Law and Education (EMLE 2017)
PB  - Atlantis Press
SP  - 151
EP  - 156
SN  - 2352-5428
UR  - https://doi.org/10.2991/emle-17.2017.32
DO  - 10.2991/emle-17.2017.32
ID  - Su2017/12
ER  -