Methodology of the resource potential assessment under import substitution

Economic Annals-ХХI: Volume 163, Issue 1-2, Pages: 91-94

Citation information:
Bessonova, E., & Mereshchenko, O. (2017). Methodology of the resource potential assessment under import substitution. Economic Annals-XXI, 163(1-2), 91-94. doi: https://doi.org/10.21003/ea.V163-19

Elena Bessonova
D.Sc. (Economics),
Professor,
Southwest State University
94, 50 Let Oktyabrya Str., Kursk, 305040, Russia
bessonowa_new@mail.ru
ORCID ID: http://orcid.org/0000-0002-3884-5725

Oksana Mereshchenko
PhD Student (Economics),
Southwest State University
94, 50 Let Oktyabrya Str., Kursk, 305040, Russia
oks-mer@mail.ru
ORCID ID: http://orcid.org/0000-0002-7857-1618

Methodology of the resource potential assessment under import substitution

Abstract. The article presents methodology of the resource potential assessment in import substitution as developed by the authors. This methodology precludes two-level analysis, and allows evaluating resource potential in the region and optimal economy sectors for development. It is based on the analysis of development factors, resource capabilities and constraints in particular regions. It has been found out that

We tested our methodology for the Regional Resource Potential (RRP) assessment on the example of Central Federal District of Russia regions for the period of 2005-2015. According to the analysis of resource potential complex index, we can conclude that Moscow possessed the greatest resource potential, while the lowest level of RRP was observed in Ivanovo region (2006-2008, 2011-2015), Tambov region (2005, 2010) and Orel region (2009).

To prove universal value of the developed methodology, we cross-tested data from Kursk region (Russia) and Swietokrzyskie voivodeship (Poland). It has been found that Kursk region’s agriculture has higher resource potential than agriculture in Swietokrzyskie voivodeship, however, manufacturing industry in Swietokrzyskie voivodeship has higher recourse potential than the one in Kursk region.

Keywords: Resource Potential; Integral Index; Agriculture; Manufacturing

JEL Classification: O18; P41

DOI: https://doi.org/10.21003/ea.V163-19

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Received 2.10.2016