Study on the Tourism Eco-efficiency in Central China
Author: 
Yaling LiuAuthors Info & Claims
Pages 232 - 238
Abstract
By using the panel data of eight provinces in Central China, the tourism eco-efficiency from 2008 to 2017 was measured by the method of Super-SBM model. Based on the results, this research analyzed the differences of tourism eco-efficiency from the temporal and spatial dimension. The Malmquist index model is introduced to further measure and decompose the tourism eco-efficiency TFP. The final results indicated: (1) the 8 central provinces' tourism eco-efficiency was 0.93, falling short of the effective level. The overall tourism eco-efficiency came to a notable decline from 2008 to 2009 and then has maintained a moderate growth trend. (2) Significant differences in tourism eco-efficiencies existed between the 8 central provinces, The tourism eco-efficiency level shows three types: high, medium, low; and three types of the development trend: rising, declining and stable fluctuation. (3) The average annual growth rate of the tourism eco-efficiency TFP in central China is 19%, which is mainly led by technological progress. The tourism eco-efficiency TFP in all provinces was greater than 1, the highest in Anhui was 1.306, and the lowest in Heilongjiang was 1.072. (4) The technological progress is the highest in the mean value of decomposition efficiency, while the scale efficiency is the lowest. The difference of scale efficiency is the main reason for the difference of technical efficiency among provinces.
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Index Terms
- Study on the Tourism Eco-efficiency in Central China
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Published In
April 2020
640 pages
ISBN:9781450376457
DOI:10.1145/3436286
- Conference Chairs:
- M. James C. Crabbe,
- Rita Yi Man Li,
- Rebecca Kechen Dong,
- Otilia Manta,
- Ubaldo Comite
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Published: 04 January 2021
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ISBDAI '20
ISBDAI '20: 2020 2nd International Conference on Big Data and Artificial Intelligence
April 28 - 30, 2020
Johannesburg, South Africa
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Overall Acceptance Rate 70 of 340 submissions, 21%
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