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

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