The need for measuring and designing effective innovation policies is increasing, which proves particularly important in environments seeking to achieve higher added value and faster economic growth through economic restructuring. Through measures and strategies, the European Union seeks to improve the conditions and access to finances for research, development and innovation in Europe, thereby transforming innovative ideas into products and services that generate growth and jobs.
The purpose of the master's thesis is to propose a new model for measuring performance in the field of innovation, which will better enable the examination and adaptation of policies and measures in this field. For this purpose, in addition to the DEA method, the analysis used the Malmquist Productivity Index to attribute changes in the productivity of countries to changes in the effectiveness of national innovation systems over a period of eight years.
The empirical part presents three models for measuring the effectiveness of the national innovation system, of which we highlight the third as the most useful. The results show that the efficiency of the national innovation system means achieving as many innovative outputs as possible with the inputs provided. The more a country achieves with a given volume of investment, the greater is her efficiency compared to the rest.
Based on the results, we proposed a measurement model based on the DEA method with the Malmquist index, and further analysis to evaluate the efficiency of asset utilization would show potential for improvement. Based on the proposed model and the review of individual inputs and outputs, we can identify where there are opportunities to increase the effectiveness of the national innovation system in the country, which is an added value for policy makers in the field of innovation.