E3S Web Conf.
Volume 251, 20212021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|Number of page(s)||5|
|Section||Analysis of Energy Industry Economy and Consumption Structure Model|
|Published online||15 April 2021|
Research on the Tourism Efficiency in Guangxi —— Based on DEA-Malmquist Model
College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, China
* Corresponding author: firstname.lastname@example.org
Taking 14 cities in Guangxi Zhuang Autonomous Region, where the typical ethnic minorities gather in harmony in China, as the research objects, the DEA-Malmquist model is used to dynamically analyze the tourism efficiency of 14 cities in Guangxi from 2004 to 2018. The results show that the total factor productivity of the overall tourism industry in Guangxi Zhuang Autonomous Region is unevenly distributed, and the regional gap is large, but the overall growth trend is maintained; the changes in the technical progress index and the total factor productivity change index are generally consistent, and the improvement of technological progress is the most effective way to promote the efficiency growth of tourism in Guangxi Zhuang Autonomous Region. The main driving force are economic development level, geographic location, tourism development policy, tourism resource endowment and other factors have varying degrees of influence on the tourism efficiency in Guangxi. Finally, this article draws relevant conclusions based on the results of empirical analysis, and put forward relevant suggestions for the development of tourism in Guangxi.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.