Regional innovation systems efficiency analyses and evaluation: DEA approach implementation

Abstract

The innovative transformation is a necessary condition for sustainable economic development. The study reveals an assessment and comparative analysis of the Regional Innovation Systems’ (RIS) performance in the Russian Federation using Data Envelopment Analysis (DEA). The DEA model under the Variable Return to Scale (VRS) assumption, focused on output parameters, is used to estimate the relative technical efficiency of regions based on several input and output parameters. Based on the obtained results, a rating of regions was compiled: four groups of regions were identified depending on their technical efficiency level. It was revealed that the leading regions by innovative development level are assessed by the DEA somewhat differently. A comparative analysis of the innovation systems performance at the regional and federal levels allowed us to identify the most and least effective subjects of the Russian Federation, federal districts and economic regions. The main conclusion is that less than a third of the Russian regions use their production capabilities as efficient as possible, the remaining regions can significantly improve the way they use the available resources. The results of the study might be used in making managerial decisions at the country, federal districts and regions levels in order to develop measures and mechanisms for improving the efficiency of regional innovation systems.

Measuring the efficiency of materials management based on data envelopment analysis approach: the case of Polish regions

“…Similarly, Zhang et al (2021) investigated Chinese regional industrial systems using the DEA approach. Firsova and Chernyshova (2018), Zemtsov and Kotsemir (2019) and Dzyubenko (2021) incorporated the DEA method to calculate the efficiency of regional innovation systems in Russia. Other DEA‐based studies analysing regional efficiency can be seen in various areas of application, such as agriculture (Toma et al, 2015), healthcare (Stefko et al, 2018), water management (Deng et al, 2016), research and development (R&D) (Aristovnik, 2014), as well as in many countries such as Croatia (Škare & Rabar, 2016), Spain (Solana‐Ibáñez et al, 2016), Greece (Karakitsiou et al, 2020), Serbia (Radonjić, 2020), Poland (Miszczyńska & Miszczyński, 2021).…”