Measuring European regional innovation

• Main Author: Θώμος, Παναγιώτης
• Other Authors: Thomos, Panagiotis
• Language: English
• Published: 2021
• Subjects: Regional knowledge production function (RKPF); Stochastik frontier analysis (SFA); Patents applications; Cobb-Douglas, Translog; Government expenditures on R&D; Labor R&D, G.V.A; Business expenditures on R&D; Καινοτομία; Πατέντες

The main purpose of this dissertation is to establish a better understanding of the innovative performance of regions using a knowledge production function, considering the innovation performance and specific types of efficiency performance. yielded by individual inputs. A parametric stochastik frontier analysis (SFA) method is used to estimate the innovation performance of 133 European regions over the period 2002-2011. We create and estimate production functions in order to analyse performance under the perception of the specific inputs: government and business expenditures on R&D, labor in R&D, and gross value added (GERD, BERD, Labor R&D, GVA) and as an innovation output we use the patent application to the european patent office. we also evaluated examples to which we added explanatory factors such a Capital and population indension which according to the bibliography affect the innovation efficiency. We found that all inputs have a statistically significant and positive effect on patents with the largest effect being the variables that describe the levels of expenditure. We created and estimated models that are very reliable, because they give us gamma ratios greater than 70 percent in general. Finally, a detailed record of the average performance of innovation efficiency for all regions of our sample is given.