Objective: The objective of this study is to investigate the innovation performance of Mexican states to identify the factors that explain the unequal performance of Mexican states in terms of innovation generation. Theoretical Framework: The study design is based on the regional innovation capabilities (RICs) proposed by Muller et al (2008). Method: The impact of the RICs on the generation of innovations in Mexican states is analyzed using 17 indicators under a multiple regression model based on data from official Mexican sources for each of the 32 states. Results and Discussion: The results show that regional technology absorption capacity is the factor that has the greatest impact on the innovation performance of Mexico's states. Research Implications: These results highlight the relevance of factors associated with technological learning for the patenting rate performance of Mexican states. These implications could include the designers and decision-makers of public policies on science and technology, as well as the institutions that produce research and development. Originality/Value: This research can be a very particular reference for future research to address and propose new conceptual frameworks for the study of regional inequalities in the generation of innovations. In addition, this study evidences the need for greater availability of data related to innovation processes in the country.