2013Shandong Caizheng Xueyuan xuebaoRequires access

An Analysis of the Main Influential Factors of Shandong Domestic Tourism and the Market Scale Forecast Based on Grey System Theory

Nuoji Zhou

Open publisher page 0 citations

Abstract

Based on gray relational analysis method of gray system theory and taking the gray relational grade as a measurement indicator,this paper analyzes the relevant factors that affect Shandong domestic tourism industry according to Shandong domestic tourism data from 2001 to 2011. The three primary influencing factors of Shandong domestic arrivals are GDP,PGDP and annual average wages of staff and workers,and the three primary influencing factors of Shandong domestic income are GDP,PGDP and total retail sales of social consumer goods. From an empirical perspective,it reveals the relational degree between domestic tourism industry and each influencing factors,including its changing rule. By constructing GM( 1,1) forecasting model,it has a short period prediction of Shandong domestic tourist arrivals and domestic tourism income. Thereby it provides a scientific decision-making basis for government to draw up development planning and adjust the industrial structure of domestic tourism industry.

About this research paper

What this paper is about

Based on gray relational analysis method of gray system theory and taking the gray relational grade as a measurement indicator,this paper analyzes the relevant factors that affect Shandong domestic tourism industry according to Shandong domestic tourism data from 2001 to 2011. The three primary influencing factors of Shandong domestic arrivals are GDP,PGDP and annual average wages of staff and workers,and the three primary influencing factors of Shandong domestic income are GDP,PGDP and total retail sales of social consumer goods. From an empirical perspective,it reveals the relational degree between domestic tourism industry and each influencing factors,including its changing rule. By constructing GM( 1,1) forecasting model,it has a short period prediction of Shandong domestic tourist arrivals and domestic tourism income. Thereby it provides a scientific decision-making basis for government to draw up development planning and adjust the industrial structure of domestic tourism industry.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Based on gray relational analysis method of gray system theory and taking the gray relational grade as a measurement indicator,this paper analyzes the relevant factors that affect Shandong domestic tourism industry according to Shandong domestic tourism data from 2001 to 2011. The three primary influencing factors of Shandong domestic arrivals are GDP,PGDP and annual average wages of staff and workers,and the three primary influencing factors of Shandong domestic income are GDP,PGDP and total retail sales of social consumer goods. From an empirical perspective,it reveals the relational degree between domestic tourism industry and each influencing factors,including its changing rule. By constructing GM( 1,1) forecasting model,it has a short period prediction of Shandong domestic tourist arrivals and domestic tourism income. Thereby it provides a scientific decision-making basis for government to draw up development planning and adjust the industrial structure of domestic tourism industry.

Key concepts: Tourism, Domestic tourism, Gray (unit), Business, Grey relational analysis, Government (linguistics), Order (exchange), Scale (ratio)

Related papers

Back to paper searchBrowse research topicsOriginal source
An Analysis of the Main Influential Factors of Shandong Domestic Tourism and the Market Scale Forecast Based on Grey System Theory — Research Paper | ScholarLens