Constantin Ogloblin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Constantin Ogloblin has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
Gregory Brock
Georgia Southern University
1 shared publication- Gregory Brock
Department of Economics, Parker College of Business, Georgia Southern University, Statesboro, USA
1 shared publication
Latest Publications
- Open Access
- 22 January 2024
- Published by Springer Nature in Research Square
The ABCs of Russia's post-transition growth: What went wrong?
The study uses industry-level data to examine the drivers of Russia’s economic growth in 2000–2008, when the average annual growth rate was 6.45%, in comparison with 2010–2016, when it fell to 1.75%. We apply the stochastic frontier method to quantify input-driven, technology-driven, and efficiency-driven growth. The influence of the world oil price on Russia’s growth is estimated from the perspective of its effects on both expansion of inputs (extensive growth) and production efficiency (intensive growth). The oil price movements affected capital and labor growth, but the government used a rent management system to mitigate these effects. As a result, the rate of extensive growth in 2000–2008, when the oil price was rising, was about the same (around 3%) as in 2010–2016 when the oil price was falling. The intensive (TFP-driven) growth rate fell from an average of 2.7% per year in 2000–2008 to − 1% in 2010–2016 due to a substantial decline in production efficiency during the latter period. Although the world price of oil could be partly responsible for this trend, we found the evolution of Russia’s economic system from generally market-oriented to largely controlled by kleptocracy to be the main factor behind it. Despite some changes in the economy’s industrial structure that occurred during both periods, the structural transformation had a negligible effect on growth.
- 22 January 2024
- Published by Springer Nature in Research Square
Open AccessThe ABCs of Russia's post-transition growth: What went wrong?
The study uses industry-level data to examine the drivers of Russia’s economic growth in 2000–2008, when the average annual growth rate was 6.45%, in comparison with 2010–2016, when it fell to 1.75%. We apply the stochastic frontier method to quantify input-driven, technology-driven, and efficiency-driven growth. The influence of the world oil price on Russia’s growth is estimated from the perspective of its effects on both expansion of inputs (extensive growth) and production efficiency (intensive growth). The oil price movements affected capital and labor growth, but the government used a rent management system to mitigate these effects. As a result, the rate of extensive growth in 2000–2008, when the oil price was rising, was about the same (around 3%) as in 2010–2016 when the oil price was falling. The intensive (TFP-driven) growth rate fell from an average of 2.7% per year in 2000–2008 to − 1% in 2010–2016 due to a substantial decline in production efficiency during the latter period. Although the world price of oil could be partly responsible for this trend, we found the evolution of Russia’s economic system from generally market-oriented to largely controlled by kleptocracy to be the main factor behind it. Despite some changes in the economy’s industrial structure that occurred during both periods, the structural transformation had a negligible effect on growth.
- 14 June 2023
- Published by Springer Nature in Eurasian Economic Review
- Vol. 13 (2) , 259-283
Health care financing and productivity of health care in OECD countries: a stochastic frontier analysis
- 14 June 2023
- Published by Springer Nature in Eurasian Economic Review
- Vol. 13 (2) , 259-283
Health care financing and productivity of health care in OECD countries: a stochastic frontier analysis
- 31 August 2014
- Published by Springer Nature in The Annals of Regional Science
- Vol. 53 (2) , 577-590
Another look at technical efficiency in American states, 1979–2000
- 31 August 2014
- Published by Springer Nature in The Annals of Regional Science
- Vol. 53 (2) , 577-590
Another look at technical efficiency in American states, 1979–2000