2012Urban ProblemsRequires access

Influence factor analysis to the tourism industry based on the Gray Correlation Analysis:taking Zhejiang Province for example

Zheng Shi-hu

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Abstract

Using the grey relational analysis and the GM(1,1) Grey forecasting model to conduct a quantitative analysis and short-term forecast of the tourism industry from 2005 to 2010 in Zhejiang Province,this article finds out that: impact factors that affect the Zhejiang Tourism Industry sort in descending relevance: capita GDP,per capita GDP,urban household income,total turnover volume of tourists,passenger volume,number star grade hotel,length of transportation routes and radio and television coverage.

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What this paper is about

Using the grey relational analysis and the GM(1,1) Grey forecasting model to conduct a quantitative analysis and short-term forecast of the tourism industry from 2005 to 2010 in Zhejiang Province,this article finds out that: impact factors that affect the Zhejiang Tourism Industry sort in descending relevance: capita GDP,per capita GDP,urban household income,total turnover volume of tourists,passenger volume,number star grade hotel,length of transportation routes and radio and television coverage.

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Available abstract

Using the grey relational analysis and the GM(1,1) Grey forecasting model to conduct a quantitative analysis and short-term forecast of the tourism industry from 2005 to 2010 in Zhejiang Province,this article finds out that: impact factors that affect the Zhejiang Tourism Industry sort in descending relevance: capita GDP,per capita GDP,urban household income,total turnover volume of tourists,passenger volume,number star grade hotel,length of transportation routes and radio and television coverage.

Key concepts: Tourism, Grey relational analysis, Gray (unit), Per capita, Per capita income, Business, Economics, Regional science

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