Regional Open Innovation Systems in a Transition Economy: A Two-Stage DEA Model to Estimate Effectiveness

Abstract

The development of innovation at a regional level in a transition economy is characterised by complex multidirectional processes of generating and commercialising innovation, indicating the need for systematic research and rethinking of the existing methods of managing such territorial entities to stimulate innovation. For the successful introduction and implementation of innovative solutions, the deployment of appropriate amounts of intellectual, material and financial resources as well as their concentration in space and time is important. This article aims to develop a model for assessing the effectiveness of regional innovation systems (RISs) during the shift from the transition economy to the market economy. The authors developed a two-stage data envelopment analysis (DEA) model connected with patent activities and the output of innovative goods and services. The model’s application made it possible to build maps describing the rating of regions concerning the performance indicator and to identify the availability of unutilised resources. For example, we identified efficient and inefficient regions in terms of producing innovative products, which is especially important for developing additional measures for developing the institutional environment of regions with considerable resources but very low utilisation efficiency. The data obtained will allow for more effective management of the structural elements of RISs as well as the detection of changes in the dynamics of key development indicators by identifying the size of efficiency reserves and the causes of their occurrence at the individual subject level.

Research on the Evaluation and Optimization of Innovation Ability of Private Enterprises Based on DEA Model

“…According to research that was carried out using the DEA method, there is no difference between state-owned and privately listed companies in terms of technical efficiency or scale efficiency; however, when looking at data from 2002 to 2009, stateowned businesses have a higher pure technical efficiency than privately listed businesses. After 2007, state-owned industrial enterprises reportedly have a higher capital production efficiency and labor production efficiency than nonstate-owned industrial enterprises [17][18][19], but their overall performance is superior to that of nonstate-owned industrial enterprises.…”

The Impact of Socio-Economic Factors on the Regional Economic Security Indicator

“…As a factor of scientific and technological development, we used the indicator of internal research and development per capita. This indicator is used to study the development of regional innovation systems (Rudskaya et al, 2022). As a factor of human capital, we used the share of the employed population with higher education and the share of the employed population with secondary specialized education (Bilan et al 2020;Cuaresma, Doppelhofer, and Feldkircher, 2014).…”

Two-Stage Data Envelopment Analysis Models with Negative System Outputs for the Efficiency Evaluation of Government Financial Policies

“…A growing body of literature has been devoted to the modeling, using multi-stage DEA models, the performance of various institutional systems on a macroeconomic scale, such as national/regional innovation systems, or national/regional environmental management systems [22][23][24][25][26][27][28]. Macroeconomic-scale systems, as a rule, have a complex structure, for better understanding of which it is reasonable to decompose them into smaller subsystems.…”