Abstract
This paper deals with the factors affecting patent citation counts and patent licensing using US patents belonging to Korean public research institutes in chemistry field. For explanatory factors, research team related variables, invention specific variables, and geographical domain related variables are introduced. Zero inflated count data model is used for patent citation count model, and binary choice models such as Logit and Probit are used for patent licensing model. The results show that research collaboration positively affects both patent citation counts and patent licensing. Some other variables like team size, size of invention, etc. are found to be significantly related to patent citation counts
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