This dissertation examines the ways international research collaboration affects the ability of Colombian research teams to produce bibliographic outputs, and to contribute to local knowledge. Research hypotheses are tested using Zero Inflated Negative Binomial Regression models to account for the effects of international research collaboration on team output while controlling for team characteristics, partner characteristics, scientific discipline, sector, the characteristics of the teams' home institution, and team location. The study uses control groups and the Propensity Score Matching approach to assess the overall impact of international research collaboration on research team performance while controlling for the effects of endogeneity and selection bias. Results show that international research collaboration is positively associated with both team output and teams' ability to contribute to local knowledge. The study shows that such effects depend on the type of collaboration chosen and the type of partner involved. Particularly, it shows that while co-authoring with colleagues located overseas or receiving foreign funding positively affects team performance, hosting foreign researchers does not seem to affect a team's productivity or its ability to contribute to local knowledge once all other variables are held constant. It also finds that collaborating with partners from the South yields greater productivity counts than collaborating with partners from the North, but that collaboration with partners from northern countries is strongly associated with a team's ability to contribute to local knowledge, while collaboration with partners from southern countries is not. Theoretical and policy implications of these and other counterintuitive findings are discussed.

This dissertation examines the ways international research collaboration affects the ability of Colombian research teams to produce bibliographic outputs, and to contribute to local knowledge. Research hypotheses are tested using Zero Inflated Negative Binomial Regression models to account for the effects of international research collaboration on team output while controlling for team characteristics, partner characteristics, scientific discipline, sector, the characteristics of the teams' home institution, and team location. The study uses control groups and the Propensity Score Matching approach to assess the overall impact of international research collaboration on research team performance while controlling for the effects of endogeneity and selection bias. Results show that international research collaboration is positively associated with both team output and teams' ability to contribute to local knowledge. The study shows that such effects depend on the type of collaboration chosen and the type of partner involved. Particularly, it shows that while co-authoring with colleagues located overseas or receiving foreign funding positively affects team performance, hosting foreign researchers does not seem to affect a team's productivity or its ability to contribute to local knowledge once all other variables are held constant. It also finds that collaborating with partners from the South yields greater productivity counts than collaborating with partners from the North, but that collaboration with partners from northern countries is strongly associated with a team's ability to contribute to local knowledge, while collaboration with partners from southern countries is not. Theoretical and policy implications of these and other counterintuitive findings are discussed.