Modeling of Regional Innovation Spillover Effects Based on DEA Malmquist Index

DOI

10.2991/ahcs.k.191206.019How to use a DOI?

Keywords

Nonparametric Model, Data Envelopment Analysis, Malmquist Productivity Index, Regional Innovations System, Spillovers

Abstract

The article presents the results of a study of innovative spillover effects using Data Envelopment Analysis (DEA) tools. The study is novel, in that an assessment methodology has been developed based on the Malmquist index and an output-oriented DEA model has been built to analyze the dynamics of the regional innovation system development. The development of innovative systems at the regional and national levels has been assessed, the Malmquist Index has been calculated, the characteristics of the regions have been determined taking into account the evaluation of spillover effects, and conclusions have been drawn on the dynamics of the development of innovative activities. The results of the study indicate the presence of positive innovative spillover effects over 2005–2017 in the Russian economy.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anna Firsova
AU  - Galina Yu. Chernyshova
PY  - 2019
DA  - 2019/12/12
TI  - Modeling of Regional Innovation Spillover Effects Based on DEA Malmquist Index
BT  - Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)
PB  - Atlantis Press
SP  - 103
EP  - 107
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahcs.k.191206.019
DO  - 10.2991/ahcs.k.191206.019
ID  - Firsova2019
ER  -