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Studies on Russian Economic Development

, Volume 26, Issue 6, pp 544–554 | Cite as

Approaches to assessing the factors of production and technological development of the national economies: Review of international practice

  • M. E. Mamonov
  • A. A. Pestova
  • E. M. Sabel’nikovaEmail author
  • A. Yu. Apokin
Macroeconomic Problems

Abstract

The article provides an overview of methods for measuring the technological progress developed in the last 50–60 years, and analyzing the performance of national economies. A special place is given to production functions as a tool that allows one to give aggregated estimates of technological progress in the frame-work of different ways, including frontier analysis, i.e., (the analysis of stochastic efficiency frontier requires the SFA approach and the envelope method requires the DEA approach) and nonedge analysis (Solow residual). We have analyzed the feasibility of expanding the traditional three-factor model of production functions, including labor, physical, and human capital through the addition of two indicators, i.e., institutional development and provision of infrastructure. A review of variables available in global statistical databases and ability to approximate these production factors has been presented.

Keywords

Human Capital Capital Stock Total Factor Productivity Technological Progress RUSSIAN Economic Development 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Main Science and Technological Indicators. http://www.oecd.org/sti/msti.htm.Google Scholar
  2. 2.
    D. Archibugi and A. Coco, “Measuring Technological Capabilities at the Country Level: A Survey and a Menu for Choice,” Research Policy, No. 34 (2005).Google Scholar
  3. 3.
    R. Solow, “A Contribution to the Theory of Economic Growth,” Quarterly Journal of Economics, No. 70 (1956).Google Scholar
  4. 4.
    R. Solow, “Technical Change and the Aggregate Production Function,” Review of Economics and Statistics, No. 39 (1957).Google Scholar
  5. 5.
    V. Nehru and A. Dhareshwar, “A New Database on Physical Capital Stock: Sources, Methodology and Results,” Revista de Analisis Economico 8 (1) (1993).Google Scholar
  6. 6.
    C. Groth, M. Gutierrez-Domenech, and S. Srinivasan, “Measuring Total Factor Productivity for the United Kingdom,” Bank of England Quarterly Bulletin: Spring (2004).Google Scholar
  7. 7.
    K. Ganev, “Measuring Total Factor Productivity: Growth Accounting for Bulgaria,” Bulgarian National Bank Discussion Paper, No. 48 (2005).Google Scholar
  8. 8.
    http://statsoecdorg/ (Multi-factor productivity).Google Scholar
  9. 9.
    http://wwweuklemsnet.Google Scholar
  10. 10.
    E. Nazrullaeva, “Assessing the Level of Technological Progress in the Russian Economy,” Kvantil’, No. 5 (2008).Google Scholar
  11. 11.
    M. J. Farrell, “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society. Series A (General) 120 (3) (1957).Google Scholar
  12. 12.
    K. Christopoulos, “Explaining Country’S Efficiency Performance,” Economic Modelling, No. 24 (2007).Google Scholar
  13. 13.
    M. Jerzmanowski, “Total Factor Productivity Differences: Appropriate Technology Vs. Efficiency,” European Economic Review, No. 51 (2007).Google Scholar
  14. 14.
    D. Aigner, C. Lovell, and P. Schmidt, “Formulation and Estimation of Stochastic Frontier Production Function Models,” Journal of Econometrics 6 (1977).Google Scholar
  15. 15.
    S. Sharma, K. Sylwester, and H. Margono, “Decomposition of Total Factor Productivity Growth in U.S. States,” The Quarterly Review of Economics and Finance, No. 47 (2007).Google Scholar
  16. 16.
    M. Henry, R. Kneller, and C. Milner, “Trade, Technology Transfer and National Efficiency in Developing Countries,” European Economic Review, No. 53 (2009).Google Scholar
  17. 17.
    M. Wang and M. Wong, “International R&D Transfer and Technical Efficiency: Evidence from Panel Study Using Stochastic Frontier Analysis,” World Development 40 (10) (2012).Google Scholar
  18. 18.
    S. Malmquist, “Index Numbers and Indifference Curves,” Trabajos de Estatistica 4 (1) (1953).Google Scholar
  19. 19.
    L. Castillo, D. Salem, and J. Guasch, “Innovative and Absorptive Capacity of International Knowledge: An Empirical Analysis of Productivity Sources in Latin American Countries,” The World Bank Policy Research Working Paper 5931 (2012).Google Scholar
  20. 20.
    R. Klump, P. McAdam, and A. Willman, “Factor Substitution and Factor Augmenting Technical Progress in the US: a Normalized Supply-Side System Approach,” European Central Bank Working Paper Series, No. 367 (2004).Google Scholar
  21. 21.
    R. E. Lukas, “On the Mechanisms of Economic Development,” Journal of Monetary Economics, No. 22 (1988).Google Scholar
  22. 22.
    G. Becker, Human Capital, N. Y.: Columbia University Press, 1964.Google Scholar
  23. 23.
    T. Schultz, Human Capital in the International Encyclopedia of the Social Sciences, New York, 1968.Google Scholar
  24. 24.
    N. Mankiw, D. Romer, and D. Weil, “A Contribution To the Empirics of Economic Growth,” The Quarterly Journal of Economics 107 (2) (1992).Google Scholar
  25. 25.
    R. Kneller and P. A. Stevens, Frontier Technology and Absorptive Capacity: Evidence from OECD Manufacturing Industries, Bulletin of Economics and Statistics, Oxford, 2006.Google Scholar
  26. 26.
    M. O’Mahony and M. Timmer, “Output, Input and Productivity Measures at the Industry Level: The EU CLEMS Database,” The Economic Journal. Royal Economic Society 119 ((538)) (2009).Google Scholar
  27. 27.
    wwwworldklemsnet/datahtm.Google Scholar
  28. 28.
    wwwhseru/org/hse/expert/lipier/current.Google Scholar
  29. 29.
    I. Voskoboynikov, New Measures of Output, Labor and Capital in Industries of the Russian Economy. GGDC Research Memorandum GD-, 123 (2012).Google Scholar
  30. 30.
    G. J. De Vries, A. A. Erumban, M. P. Timmer, I. Voskoboynikov, H. X. Wu, “Deconstructing the BRICs: Structural Transformation and Aggregate Productivity Growth,” Journal of Comparative Economics 40 (2) (2012).Google Scholar
  31. 31.
    M. P. Timmer and I. Voskoboynikov, Is Mining Fuelling Long Run Growth in Russia? Industry Productivity Growth Trends since (1995).Google Scholar
  32. 32.
    D. Acemoglu, S. Johnson, and J. Robinson, “The Colonial Origins of Comparative Development: An Empirical Investigation,” American Economic Review 91 (5) (2001).Google Scholar
  33. 33.
    U. Subramanian, W. Anderson, and K. Lee, “Measuring the Impact of the Investment Climate on Total Factor Productivity: The Cases of China and Brazil,” World Bank Policy Research Working Paper, 3792.Google Scholar
  34. 34.
    F. Bastos and J. Nasir, “Productivity and the Investment Climate: What Matters Most?,” World Bank Policy Research Working Paper, 3335.Google Scholar
  35. 35.
    D. Coe, T. Helpman, and A. Hoffmaister, “International R&D Spillovers and Institutions,” European Economic Review 53 (7) (2009).Google Scholar
  36. 36.
    A. Przeworski, M. Alvarez, J. Cheibub, and F. Limongi, Democracy and Development: Political Institutions and Well-Being in the World (1950–1990).Google Scholar
  37. 37.
    S. Straub, “Infrastructure and Development: A Critical Appraisal of the Macro-Level Literature,” Journal of Development Studies 47 ((5)) (2011).Google Scholar
  38. 38.
    D. Aschauer, “Is Public Expenditure Productive?,” Journal of Monetary Economics 23 (1989).Google Scholar
  39. 39.
    W. Roomp and J. de Haan, “Public Capital and Economic Growth: A Critical Survey,” EIB Papers 10 (1) (2005).Google Scholar
  40. 40.
    D. Jorgenson and Z. Griliches, “The Explanation of Productivity Change,” Review of Economic Studies 34 (1967).Google Scholar
  41. 41.
    D. Blades, Meyerzu-Schlochtern J. How Should Capital be Represented in Studies of Total Factor Productivity. Statistics Directorate OECD. Capital Stock Conference. Agenda Item VII. Marc, 1997.Google Scholar
  42. 42.
    R. Barro, “Economic Growth in a Cross Section of Countries,” The Quarterly Journal of Economics 106 (2) (1991).Google Scholar
  43. 43.
    P. Romer, “Endogenous Technical Change,” Journal of Political Economy 98 (1990).Google Scholar
  44. 44.
    R. Barro and J. Lee, “International Comparisons of Educational Attainment,” Journal of Monetary Economics 32 (1993).Google Scholar
  45. 45.
    R. Barro and J. Lee, “International Measures of Schooling Years and Schooling Quality,” American Economic Review 86 (1996).Google Scholar
  46. 46.
    E. Sabel’nikova, “The Problem of Assessment of Human Capital at the Macro Level,” Chelovecheskii Kapital, No. 5 (2014).Google Scholar
  47. 47.
    R. Levine and D. Renelt, “A Sensitivity Analysis of Cross-Country Growth Regressions,” The American Economic Review 82 (4) (1992).Google Scholar
  48. 48.
    J. Benhabib and M. Spiegel, “The Role of Human Capital in Economic Development: Evidence from Aggregate Cross-Country Data,” Journal of Monetary Economics 34 (1994).Google Scholar
  49. 49.
    N. Islam, “(1995). Growth Empirics: a Panel Data Approach,” Quarterly Journal of Economics 110 (1995).Google Scholar
  50. 50.
    E. Hanushek and D. Kimko, “Schooling, Labor-Force Quality, and the Growth of Nations,” American Economic Review 90 (5) (2000).Google Scholar
  51. 51.
    G. Jones and W. Schneider, “Intelligence, Human Capital, and Economic Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach,” Journal of Economic Growth 11 (1) (2006).Google Scholar
  52. 52.
    P. Agion, P. Howitt, and F. Murtin, “The Relationship Between Health and Growth: When Lucas Meets Nelson-Phelps,” Review of Economics and Institutions 2 (1) (2011).Google Scholar
  53. 53.
    D. Acemoglu and S. Johnson, “Disease and Development: The Effect of Life Expectancy on Economic Growth,” Journal of Political Economy 115 (6) (2007).Google Scholar
  54. 54.
    Reports. Development. http://hdrundporg/en/statistics.Google Scholar
  55. 55.
    D. Jorgenson and B. Fraumeni, “The Accumulation of Human and Nonhuman Capital. 1948–1984/ R.E. Lipsey, H.S. Tice (Eds.). The Measurement of Savings, Investment and Wealth,” The University of Chicago Press (1989).Google Scholar
  56. 56.
    W. Gu and A. Wong, “Estimates of Human Capital: The Lifetime Income Approach,” Economic Analysis Research Paper Series. Statistics Canada, No. 062 (2010).Google Scholar
  57. 57.
    R. Kapelyushnikov, “How Much Is the Human Capital of Russia?,” Voprosy Ekonomiki, Nos. 1–2 (2013).Google Scholar
  58. 58.
    J. Giovanni and A. Matsumoto, “The Value of Human Capital Wealth,” Global COE Hi-Stat Discussion Paper, Series gd10-, 174.Google Scholar
  59. 59.
    T. Natkhov and M. Boranukov, “Institutions and Economic Development: Theory and Empiricism (review of current research),” Ekonomicheskaya Politika, No. 5 (2010).Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2015

Authors and Affiliations

  • M. E. Mamonov
    • 1
  • A. A. Pestova
    • 1
  • E. M. Sabel’nikova
    • 1
    Email author
  • A. Yu. Apokin
    • 1
  1. 1.Institute of Economic ForecastingRussian Academy of SciencesMoscowRussia

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