This paper introduced PGTWR model as the base model of the study and adopted thirteen prefecture-level cities as individuals of cross section and conducted spatial and temporal heterogeneity study of the converted influencing factors of carbon emissions in Beijing-Tianjin-Hebei region with the time period from the year 2013 to 2018 as panel data. From the perspective of time and space as a whole, the regression coefficient of each influencing factor of carbon emission in Hebei Province has obvious heterogeneity. Relatively speaking, the heterogeneity of influencing factors of carbon emission in Beijing-Tianjin-Hebei region is mainly reflected in time dimension. In the period of study, the impact of industrial structure, the level of urbanization, energy intensity and the level of economic development on carbon emission was on a decline curve while the impact of population size and the level of opening up on carbon emission was on the rise, which indicates that the former four factors that reflect the level of economy and technology are not the focus of consideration when making the policy of carbon emission reduction and that more attention should be paid to the latter two factors for the time to come. From the perspective of space, the differences in the impact of industrial structure and energy intensity on carbon emission vary significantly. As a result, these differences should be attached importance to when making the policy of carbon emission reduction.