Diagnostic Assessment of the Development Potential of Regional Economies Using the Example of the Southern Federal District
DOI:
https://doi.org/10.61841/kn7z5c09Keywords:
Development Potential, Regional Economy, Specialization, Inter-sectoral Processing, Gross Regional Product.Abstract
The present study gives a diagnostic assessment of the development potential of the patterns, specifics and trends of regional economies in terms of their socio-economic status and development. The per capita income of the population, which are traditionally used in economic studies, do not properly reflect the true situation. The median income seems to be more appropriate to determine the per capita income of the population, since it reveals how much money a person receives in the middle of the lowest-to-highest income range for this or that section of the population. The ratio between the average per capita income and the minimum subsistence level is usually used to determine the population’s standard of living. In order to compare the population’s interregional purchasing power, statistics uses the value of a fixed set of consumer goods and services, determined on the basis of common consumption levels with average prices throughout the members of the Russian Federation. This study detected corresponding differences in the ratio between the median income and the fixed set of goods and services. It is this income which best reflects the minimum standard of living, and it is to be used as the subsistence minimum. The diagnostic assessment of the development potential of regional economies comprised the following key indicators: consumer investment portfolio of the regions’ potential development; organizational and technological processing in which raw products or goods-in-process are processed the second time and so on; living labor productivity in regions and in small businesses; potential in natural resources and regional taxes.
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References
[1] Babkov, G. A., Muratova, L. I., Ponomarenko, S. A. Metodika ekonomicheskikh issledovaniy i rasschetov
v regionalnoy i servisnoy ekonomike (A Methodology for economic research and calculations in regional
and service economics). - Shakhty: Yuzhno-Rossiyskiy gosudarstvenny universitet ekonomiki i servisa,
2009. – 584 p.
[2] Gosudarstvenny doklad o sostoyanii energosberezheniya i povysheniya energeticheskoy effektivnosti
Rossiyskoy Federatsii v 2017 godu (State report on energy saving and energy efficiency in the Russian
Federation in 2017). – M.: Minekonomrazvitiya. – 2018. – pp. 108-110.
[3] Maloye i sredneye predprinimatelstvo (prilozheniye k sborniku) Rossii (Small and medium-sized
businesses in Russia (supplement to the compilation). – M.: Rosstat, 2017. – 80 p.
[4] Regiony Rossii. Sotsialno-ekonomicheskiye pokazateli (Russian regions. Socio-economic indicators). – M.:
Rosstat, 2018. 1164 p.
[5] Reyting investitsionnoy privlekatelnosti regionov Rossii (Russian Regions’ Investment Attractiveness
Rating). – M.: raex-a.ru [online].
[6] Rossiyskiy statisticheskiy ezhegodnik (Russian Statistics Yearbook). – M.: Rosstat, 2018. – 696 p.
[7] Sredniy, medianny i modalny uroven denezhnykh dokhodov naseleniya v tselom po Rossii i po subyektam
Rossiyskoy Federatsii za 2017 god (average, median, and modal cash income levels of the population for the Russian as a whole and for the federal subjects of Russia for 2017). - gks.ru [online].
[8] Strategiya prostranstvennogo razvitiya RF na period do 2025 goda (Russia’s spatial development strategy for the period until 2025). – gks.ru [online].
[9] Finansy Rossii (Russia’s Finances). – M.: Rosstat, 2018.
[10] Chelovek i innovatsii. Doklad o chelovecheskom razvitii Rossiyskoy Federatsii za 2018 god (Mankind and
innovations. Report on human development in the Russian Federation for 2018) / pod red. S. N. Bobyleva,
L. M. Grigoryeva. – M.: ATsPRF, 2018. – 172 p.
[11] Bottoni, G. (2018). A Multilevel Measurement Model of Social Cohesion. Social Indicators Research, 136,
835–857.
[12] Chan, J., H-P To, and E. Chan (2006). Reconsidering Social Cohesion: Developing a Definition and
Analytical Framework for Empirical Research. Social Indicators Research, 75, 273–302.
[13] Ciccone, A. and Jarocinski, M. (2010). Determinants of economic growth: will data tell? American
Economic Journal: Macroeconomics, 2(4):222–246.
[14] Deming, D., and Kahn, L. (2018). Skill requirements across firms and labor markets: Evidence from job
postings for professionals. Journal of Labor Economics, 36(S1), S337-S369.
[15] Demyanenko A.E. Stages of providing ecological safety in the aspect of socio-economic development
of regions. «The Genesis of Genius» Scientific and educational periodical journal of economists and jurists
- Geneva, Switzerland, December 2016; 221 p.; P. 71–73.
[16] Hershbein, B., and Kahn, L. (2018). Do recessions accelerate routine-biased technological change?
Evidence from the vacancy posting. American Economic Review, 108(7), 1737–1772.
[17] Inklaar, R. and Prasada Rao, D. (2017). Cross-country income levels over time: did the developing world
suddenly become much richer? American Economic Journal: Macroeconomics, 9(1):265–290.
[18] Marinescu, I., and Wolthoff, R. (2016). Opening the black box of the matching function: The power of words. NBER Working Paper 22508. http://www.nber.org/papers/w22508.pdf (accessed 20 June 2018).
[19] Ostrom, E. (2010a). Beyond Markets and States: Polycentric Governance of Complex Economic Systems. American Economic Review, 100, 641–672.
[20] Williamson O. The Economic Institutes of Capitalism. New York, 1985.
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