Correlation Analysis between Tourism and Economic Growth Based on Computable General Equilibrium Model (CGE)

Abstract

The current tourism industry has the problems of low service efficiency, poor coordinated development, and slow economic growth in terms of service volume and economic growth. This paper is based on computable general equilibrium (CGE) model. Firstly, a CGE data analysis model based on bee colony intensive breakthrough algorithm is established to store and analyze the data in the whole chain of tourism. Then, combined with the comparative analysis of tourism economic data over the years, it is fed back to the CGE model for error analysis. Finally, relevant experiments are designed to analyze the relationship between tourism and economic growth. The correlation degree of local economic growth is analyzed. The results show that, compared with the traditional research method of tourism economic growth based on module data analysis, this CGE model can realize the correlation analysis of the data involved in the process of tourism economic growth and analyze the factors affecting the speed of economic growth, which has the advantages of good reliability and strong pertinence.

The Spatial and Temporal Evolution and Influencing Factors of the Coupling and Coordinated Development of Basic Public Services, Urbanization, and Tourism in China

“…Urbanization is a powerful engine for maintaining sustained, healthy, and high-quality economic development [3]; it also promotes the development of related industries and provides many employment opportunities [4]. The growth of green tourism contributes to the high-quality development of a regional economy [5]. Coordinating development of basic public services, urbanization, and tourism is, therefore, essential to achieving high-quality development.…”

Retracted: Correlation Analysis between Tourism and Economic Growth Based on Computable General Equilibrium Model (CGE)

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”