Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)

Forecast of Tourism Growth in Huangshan City-A Study Based on Grey Model

Authors
Wei Cao, Zhen Chen
Corresponding Author
Wei Cao
Available Online June 2018.
DOI
https://doi.org/10.2991/icmess-18.2018.96How to use a DOI?
Keywords
Huangshan city; Tourism comprehensive income; Grey system model; Grey prediction model
Abstract
Tourism has become an important pillar industry and an advantageous industry of “rich people and strong cities” in the economy of Huangshan City. This paper applies grey model to respectively calculate the correlation between the comprehensive tourism income of Huangshan City and Huangshan City's regional GDP, financial income, fixed assets investment, per capita net income of farmers, total agriculture output value, total forestry output value, number of visitors throughout the year, and retail sales of social consumer goods. This paper uses the Grey Prediction Model (GM Model) to predict the comprehensive tourism income of Huangshan City. The results show that the comprehensive income of tourism inHuangshan city is highly correlated with the above factors, among which the highest is that the correlation degree of the number of tourist on comprehensive tourism income is 0.8520. It also predicts Huangshan city tourism comprehensive income in 2020 and in 2050 reached 69.5 billion yuan, 1.6864 trillion yuan respectively.
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Proceedings
2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
978-94-6252-520-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/icmess-18.2018.96How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei Cao
AU  - Zhen Chen
PY  - 2018/06
DA  - 2018/06
TI  - Forecast of Tourism Growth in Huangshan City-A Study Based on Grey Model
BT  - 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
PB  - Atlantis Press
SP  - 435
EP  - 440
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-18.2018.96
DO  - https://doi.org/10.2991/icmess-18.2018.96
ID  - Cao2018/06
ER  -