Knowledge Space, Relatedness and Complexity: A Regional Analysis in Turkey

Regional development policies based on regions’ core strengths is key for innovative and competitive growth. For sustainable growth, each region would discover their own growth paths grounded knowledge base capabilities. Although there are studies that focus regional clustering of economic activity technological dispersion sectors in Turkey, little known related to the potential attract new technologies strenghts. There three objectives paper: The first objective map space (relatedness between technologies) Turkey 2010 2017. second paper understand relatedness (branching opportunities) complexity Turkey’s regions third demonstrate relationship innovativeness as measured by patent applications with across NUTS3 regions. study uses data from European Patent Office (EPO) REGPAT Database (downloaded January 2020). In order space, we use classes. a network where nodes represent categories lines links pair technology. Relatedness operationalized density. Knowledge index. We regression analysis correlation density complexity. As control variable, model diversity variable number classes which city has relative advantage. demonstrates became denser 2017 variations respect branching opportunities Diversity positively correlated while does not have innovativeness.