In view of an inquiry into the carbon emission reduction potential of each county in Beijing-Tianjin-Hebei agglomeration, a qualitative and quantitative analysis has thus been conducted by using such spatial statistical tools as standard deviation ellipse, exploratory spatial data analysis, and geographic weighted regression based on the calculation of carbon emission intensity in 165 counties from 2008 to 2017. The research results show that the average carbon emission intensity in Hebei Province is significantly higher than that in Beijing and Tianjin. During the study period, the carbon emission intensity of each district and county shows a significantly decreasing trend, indicating a favorable achieved reults of carbon reduction in recent years. Secondly, based on the center of gravity standard deviation ellipse, it is found that the center of gravity of carbon emission intensity is always located in Gaoyang County, Baoding City, with the center of gravity gradually moving to the south; meanwhile, the standard deviation ellipse shows a “northeast southwest” spatial distribution pattern. Finally, an analysis is made of the impact factors of carbon emission intensity: population density, diversification of industrial structure, fixed assets investment and fiscal revenue and expenditure, all of which exert different effects in different regions, while in most regions, carbon emission intensity can be effectively reduced.