摘要：In order to explore the influence of green credit on the optimization and rationalization of the industrial structure in China, based on the relevant data of the green credit balance, interest expenditure in six high-energy-consuming industries, and industrial structure in China from 2007–2019, the paper first measured the green credit index and the index of industrial structure optimization and rationalization by the methods of entropy weight and Theil index. Then, the coupling model was adopted to study the coupling degree and the coupling coordination degree between them, and the regression model was employed to further study the influence coefficient of green credit on the optimization and rationalization of industrial structure. Research showed that the degree of coupling between green credit and industrial structure rationalization presents three stages—extremely low coupling, low coupling, and moderate coupling—and the degree of coupling coordination presents two stages—extremely low coordination and low coordination. Similarly, the degree of coupling between them presents two stages—extremely low coupling and low coupling—and the degree of coupling coordination presents two stages—extremely low coordination and low coordination. Regression analysis showed that the influence coefficients of the green credit index on rationalization and optimization of industrial structure were 0.56 and 0.03, respectively, which supported the conclusion that the coupling degree between the former two is higher than that between the latter two on the one hand, and made it clear that green credit positively and effectively guides the rational allocation of resources and promotes secondary and tertiary industries on the other hand.
