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Open AccessArticle

Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index

1
Faculty of Economics, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia
2
Faculty of Computer Science and Information Technologies, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia
*
Author to whom correspondence should be addressed.
Information 2020, 11(6), 294; https://doi.org/10.3390/info11060294
Received: 12 April 2020 / Revised: 26 May 2020 / Accepted: 27 May 2020 / Published: 31 May 2020
(This article belongs to the Special Issue Computer Modelling in Decision Making (CMDM 2019))
The aim of the work was to evaluate the dynamics of regional innovation development and compare the Russian regions according to their innovation efficiency, used resources, and achieved results. To estimate direct and indirect innovation effects, this study used the data on Russian regions according to variables of the innovative product volume, the share of high-tech products in the gross regional product (GRP) structure, the number of used patents, and investment in innovation activity for 2006–2017. To obtain a representative sample, a cluster analysis was applied as a preliminary step, which made it possible to select a group of regions that were most advanced in terms of their innovative development. Output-oriented data envelopment analysis models were applied for Malmquist Productivity Index calculation. The obtained results indicate the average growth of total factor productivity of regional innovation development over time. The main source of innovative development is largely derived from the economy of scale, while the effectiveness of regional innovation systems is basically increasing through broader resource bases, rather than through its effective utilization. The research findings can be applied to diagnose regional innovation effectiveness, justify public investment in research and development (R & D), and identify the priorities of regional innovation policy for specific regions. View Full-Text
Keywords: data envelopment analysis; Malmquist Index; cluster analysis; regional innovation system data envelopment analysis; Malmquist Index; cluster analysis; regional innovation system
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Firsova, A.; Chernyshova, G. Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index. Information 2020, 11, 294.

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