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Prioritization of Russian Regions for Sustainable Investing Purposes Using Data Envelopment Analysis

Review of Business and Economic Studies, Volume 2, Number 3, 2014

12 Pages Posted: 17 Nov 2014  

Anastasia Arkhipova

Government of the Russian Federation - Financial University (Moscow Branch)

Date Written: September 19, 2014

Abstract

In the article we propose to use recently developed method, namely the robust shared-input Data Envelopment Analysis (DEA), to estimate the attractiveness of regions in the view of Sustainable Investing (SI). We apply DEA method over all regions of Russian Federation to identify a preferred alternative, to rank the alternatives in a decreasing order of preference and to classify the alternatives into a small number of categories for SI purposes using social-economic data for the latest available period (2013) and mathematical programming tools (Linear programming in RStudio). We argue that too little attention has been paid to the way regional sustainability and its determinants should be empirically analyzed. This article aims at presenting a methodology that provides a convenient and scientifically sound way of evaluation and monitoring of efficiency of SI in Russian regions. In order to determine possible practical application of obtained results, in our article we highlighted the role of hybrid financing in the frame of sustainable development and analyzed current gaps in the Russian legislation. It is hoped that this article will be useful for practitioners who are engaged in research and applications of operations research and performance measurement, including those who work in the field of economics.

Keywords: Efficient Russian regions, long-term investing in Russia, DEA for sustainability, ranking regions, PPP, DEA

JEL Classification: C61, C67, C82, D57, D72, M14, R15, R58

Suggested Citation

Arkhipova, Anastasia, Prioritization of Russian Regions for Sustainable Investing Purposes Using Data Envelopment Analysis (September 19, 2014). Review of Business and Economic Studies, Volume 2, Number 3, 2014. Available at SSRN: https://ssrn.com/abstract=2525139 or http://dx.doi.org/10.2139/ssrn.2525139

Anastasia Arkhipova (Contact Author)

Government of the Russian Federation - Financial University (Moscow Branch) ( email )

Leningradsky Prospect, 49
Moscow
Russia

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