Against the backdrop of the “dual carbon” goals, practicing green and low-carbon consumption has become a crucial component of national strategic objectives. However, the exploration of its implementation still faces a series of new challenges and issues.For the purpose of executing an unbiased and all-round quantitative evaluation of green low-carbon consumption, this research has constructed an index system that is prepared for environment-friendly low-carbon consumption. After that, this research uses the fuzzy analytic hierarchy process, which is called AHP, to build the weights of these indices.Furthermore, the spatial autocorrelation analysis is utilized by us to measure the spatial mutual connection of eco-friendly and low-carbon consumption, revealing its spatial distribution patterns and regional disparities. Spatial econometric models are then utilized to explore the factors influencing green and low-carbon consumption. The regression coefficients for technological innovation and talent introduction reached 0.015 and 0.162 respectively, demonstrating significant positive spatial spillover effects at the 1% confidence level. Conversely, the regression coefficients for industrial structure and urbanization level were both negative, tutting forward a restraining function for the promotion of environment-protective and low-carbon consumption degrees.
