Factor Influence on Energy Carbon Emissions: a Case of Upper Reaches of The Yangtze River of China

Abstract

This paper adopts STIRPAT model with ridge regression to estimate factor influence on energy carbon emissions with the case of the upper reaches of the Yangtze River of China. The result shows that seven factors have positive but different influence on energy carbon emissions, which impact coefficient of population is 5.559, and respectively is secondary industry value-added (1.054), CO2 emissions intensity (0.597), productivity (0.416), GDP per capita (0.352), urban employment (0.309) and urbanization (0.221). For improvement of factor influence on energy carbon emissions, it is urgent to promote industrial low carbon transition, encourage R&D of low carbon technologies for clean production and advocate low carbon urbanization and life.