Modeling the relationship between investment processes and costs structure applied to Russian economic activities in 2005-2009
AbstractIn this study a model framework for the relationship between investment processes and the dynamics of production costs for the period 2005–2009 is developed and tested. Close attention is paid to the dynamics of costs of acquiring raw materials, intermediates, and accessories for production process. The official Rosstat’s statistics on key economic activities in Russian mining and manufacturing sectors, electricity, gas, and water supply sector is analyzed. The aim pursued in this paper was to find out what factors may influence unit costs (costs per ruble of output) and technological progress determined as lower unit costs as a result of higher investments. It is assumed that different types of investment, including fixed investment, R&D investment, and foreign direct investment, may have an impact on the state of technologies for an economic activity. To verify the hypothesis that investments matter for production process we estimate long-run relationships between costs per unit of output and investments, taking into account the possibility of structural breaks in the data which covers the beginning of the current crisis. The results suggest that the effect of investments on costs varies across the economic activities, and the 2008 crisis appears to undermine the hypothesis of investment efficiency
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Bibliographic InfoArticle provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.
Volume (Year): 19 (2010)
Issue (Month): 3 ()
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Web page: http://appliedeconometrics.cemi.rssi.ru/
costs per unit of output; technological progress; direct investment; Russian industry; structural breaks;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Capital; Investment; Capacity
- E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
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- Gregory, A.W. & Hansen, B.E., 1992.
"Residual-Based Tests for Cointegration in Models with Regime Shifts,"
RCER Working Papers
335, University of Rochester - Center for Economic Research (RCER).
- Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
- Allan w. Gregory & Bruce E. Hansen, 1992. "residual-Based Tests for Cointegration in Models with Regime Shifts," Working Papers 862, Queen's University, Department of Economics.
- Horowitz, Joel L., 2001. "The Bootstrap," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 52, pages 3159-3228 Elsevier.
- Joon Y. Park, 2000.
"Bootstrap Unit Root Tests,"
Econometric Society World Congress 2000 Contributed Papers
1587, Econometric Society.
- Pietro F. Peretto & John J. Seater, 2010.
"Factor-Eliminating Technical Change,"
10-21, Duke University, Department of Economics.
- Stanislav Anatolyev, 2007. "The basics of bootstrapping (in Russian)," Quantile, Quantile, issue 3, pages 1-12, September.
- Li, Hongyi & Maddala, G. S., 1997.
"Bootstrapping cointegrating regressions,"
Journal of Econometrics,
Elsevier, vol. 80(2), pages 297-318, October.
- Tom Doan, . "RATS program to demonstrate bootstrapping with cointegration," Statistical Software Components RTZ00021, Boston College Department of Economics.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Shchetynin, Yevhenii & Nazrullaeva, Eugenia, 2012. "Effects of fixed capital investments on technical efficiency in food industry," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 28(4), pages 63-84.
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