Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index
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 accordin...
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MDPI AG
2020-05-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/11/6/294 |
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| author | Anna Firsova Galina Chernyshova |
| author_facet | Anna Firsova Galina Chernyshova |
| author_sort | Anna Firsova |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:28:21Z |
| format | Article |
| id | doaj.art-0a688bdba39346f99d35cffadfc54d8f |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T19:28:21Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-0a688bdba39346f99d35cffadfc54d8f2023-11-20T02:20:50ZengMDPI AGInformation2078-24892020-05-0111629410.3390/info11060294Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist IndexAnna Firsova0Galina Chernyshova1Faculty of Economics, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, RussiaFaculty of Computer Science and Information Technologies, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, RussiaThe 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.https://www.mdpi.com/2078-2489/11/6/294data envelopment analysisMalmquist Indexcluster analysisregional innovation system |
| spellingShingle | Anna Firsova Galina Chernyshova Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index Information data envelopment analysis Malmquist Index cluster analysis regional innovation system |
| title | Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index |
| title_full | Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index |
| title_fullStr | Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index |
| title_full_unstemmed | Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index |
| title_short | Efficiency Analysis of Regional Innovation Development Based on DEA Malmquist Index |
| title_sort | efficiency analysis of regional innovation development based on dea malmquist index |
| topic | data envelopment analysis Malmquist Index cluster analysis regional innovation system |
| url | https://www.mdpi.com/2078-2489/11/6/294 |
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