IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Technical efficiency of Russian plastic and rubber production firms

Listed author(s):
  • Ipatova, Irina

    ()

    (Higher School of Economics, Moscow, Russia)

  • Peresetsky, Аnatoly

    ()

    (Higher School of Economics, CEMI RAS, Moscow, Russia)

In the paper technical efficiency of Russian plastic and rubber production firms in 2006–2010 is estimated by SFA. It is demonstrated that increasing firm size will cause increase in its efficiency and also there is increasing returns to scale in the sector. This result is robust for various specifications of the production function and SFA models. Autocorrelation of efficiency estimates is considered as a measure of their persistency.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://pe.cemi.rssi.ru/pe_2013_4_71-92.pdf
File Function: Full text
Download Restriction: no

Article provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.

Volume (Year): 32 (2013)
Issue (Month): 4 ()
Pages: 71-92

as
in new window

Handle: RePEc:ris:apltrx:0224
Contact details of provider: Web page: http://appliedeconometrics.cemi.rssi.ru/

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Aivazian, Sergei & Afanasiev, Mikhail, 2009. "Estimation of the Economic Efficiency of a Shift to the Achievable Production Potential," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 15(3), pages 43-55.
  2. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
  3. Margono, Heru & Sharma, Subhash C. & Melvin II, Paul D., 2010. "Cost efficiency, economies of scale, technological progress and productivity in Indonesian banks," Journal of Asian Economics, Elsevier, vol. 21(1), pages 53-65, February.
  4. 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.
  5. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
  6. S Madheswaran & Hailin Liao & Badri Narayan RathAuthor-Email: smadhes@yahoo.co.uk, 2007. "Productivity growth of Indian manufacturing sector: panel estimation of stochastic production frontier and technical inefficiency," Journal of Developing Areas, Tennessee State University, College of Business, vol. 40(2), pages 35-50, January-M.
  7. Liu, Tung & Li, Kui-Wai, 2012. "Analyzing China's productivity growth: Evidence from manufacturing industries," Economic Systems, Elsevier, vol. 36(4), pages 531-551.
  8. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2006. "Estimation of stochastic frontier production functions with input-oriented technical efficiency," Journal of Econometrics, Elsevier, vol. 133(1), pages 71-96, July.
  9. Becchetti, Leonardo & Sierra, Jaime, 2003. "Bankruptcy risk and productive efficiency in manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2099-2120, November.
  10. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Economies of Scale and Scope in Local Public Transportation," Journal of Transport Economics and Policy, University of Bath, vol. 41(3), pages 345-361, September.
  11. Afanasiev, Mikhail, 2006. "A Model of the Production Potential with Managed Factors of Inefficiency," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 4(4), pages 74-89.
  12. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
  13. Kumbhakar, Subal C. & Sun, Kai, 2013. "Derivation of marginal effects of determinants of technical inefficiency," Economics Letters, Elsevier, vol. 120(2), pages 249-253.
  14. Subal Kumbhakar & Anatoly Peresetsky, 2013. "Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 88-113, March.
  15. Farsi, Mehdi & Filippini, Massimo & Kuenzle, Michael, 2007. "Cost efficiency in the Swiss gas distribution sector," Energy Economics, Elsevier, vol. 29(1), pages 64-78, January.
  16. Becerril-Torres, Osvaldo U. & Álvarez-Ayuso, Inmaculada C. & Del moral-Barrera, Laura E., 2010. "Do infrastructures influence the convergence of efficiency in Mexico?," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 120-137, January.
  17. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
  18. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
  19. Musleh-ud Din & Ejaz Ghani & Tariq Mahmood, 2007. "Technical Efficiency of Pakistan s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(1), pages 1-18.
  20. Paul, Catherine J. Morrison & Nehring, Richard, 2005. "Product diversification, production systems, and economic performance in U.S. agricultural production," Journal of Econometrics, Elsevier, vol. 126(2), pages 525-548, June.
  21. Tovar, Beatriz & Javier Ramos-Real, Francisco & de Almeida, Edmar Fagundes, 2011. "Firm size and productivity. Evidence from the electricity distribution industry in Brazil," Energy Policy, Elsevier, vol. 39(2), pages 826-833, February.
  22. Banker, Rajiv D. & Chang, Hsihui & Cunningham, Reba, 2003. "The public accounting industry production function," Journal of Accounting and Economics, Elsevier, vol. 35(2), pages 255-281, June.
  23. Niquidet, Kurt & Nelson, Harry, 2010. "Sawmill production in the interior of British Columbia: A stochastic ray frontier approach," Journal of Forest Economics, Elsevier, vol. 16(4), pages 257-267, December.
  24. Martikainen, Minna & Nikkinen, Jussi & Vähämaa, Sami, 2009. "Production functions and productivity of family firms: Evidence from the S&P 500," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 295-307, May.
  25. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
  26. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  27. Heshmati, Almas & Kumbhakar, Subal C. & Hjalmarsson, Lennart, 1995. "Efficiency of the Swedish pork industry: A farm level study using rotating panel data 1976-1988," European Journal of Operational Research, Elsevier, vol. 80(3), pages 519-533, February.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0224. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anatoly Peresetsky)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.