Analysis and Research on Causality between Carbon Emission and Structural Optimization Based on Linear and Nonlinear Granger Causality Test

Abstract

Although the tourism industry is booming, its scale imbalance, structural imbalance and inefficient allocation of resources have hindered the realization of the high-quality development goals of the regional tourism industry. Therefore, it is very important to optimize the tourism industry structure. This paper uses linear and nonlinear Granger causality tests to study the relationship between ’ tourism industrial structure optimization ’ and ’ carbon dioxide emissions ’ in 31 provinces in China. The results show that : ( 1 ) There is a nonlinear Granger two-way causal relationship between ’ tourism industrial structure optimization ’ and ’ carbon dioxide emissions ’. ( 2 ) With the acceleration of the upgrading and rationalization of the tourism industry structure, structural optimization and adjustment will help reduce carbon dioxide emissions. In addition, reducing carbon emissions can also promote the upgrading and rationalization of the tourism industry structure.