IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0224.html
   My bibliography  Save this article

Technical efficiency of Russian plastic and rubber production firms

Author

Listed:
  • Ipatova, Irina

    (Higher School of Economics, Moscow, Russia)

  • Peresetsky, Аnatoly

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

Abstract

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.

Suggested Citation

  • Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 71-92.
  • Handle: RePEc:ris:apltrx:0224
    as

    Download full text from publisher

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

    References listed on IDEAS

    as
    1. Aivazian, Sergei & Afanasiev, Mikhail, 2009. "Estimation of the Economic Efficiency of a Shift to the Achievable Production Potential," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 43-55.
    2. 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.
    3. 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.
    4. Liu, Tung & Li, Kui-Wai, 2012. "Analyzing China's productivity growth: Evidence from manufacturing industries," Economic Systems, Elsevier, vol. 36(4), pages 531-551.
    5. 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.
    6. 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.
    7. Kumbhakar, Subal C. & Sun, Kai, 2013. "Derivation of marginal effects of determinants of technical inefficiency," Economics Letters, Elsevier, vol. 120(2), pages 249-253.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Shchetynin, Yevhenii & Nazrullaeva, Eugenia, 2012. "Effects of fixed capital investments on technical efficiency in food industry," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 63-84.
    18. 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.
    19. Afanasiev, Mikhail, 2006. "A Model of the Production Potential with Managed Factors of Inefficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 4(4), pages 74-89.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Badri Narayan Rath & S.Madheswaran, 2004. "Productivity Growth of Indian Manufacturing Sector: Panel Estimation of Stochastic Production Frontier and Technical Inefficiency," Econometric Society 2004 Far Eastern Meetings 528, Econometric Society.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. N. Krasnopeeva & E. Nazrullaeva & A. Peresetsky & E. Shchetinin., 2016. "To export or not to export? The link between the exporter status of a firm and its technical efficiency in Russia’s manufacturing sector," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    2. Ибрагимова Найля Мурадовна, 2015. "Эмпирическая Оценка Эффективности Ндфл И Ндс В Узбекистане," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 19(1), pages 81-103.
    3. Alexander Yu. Apokin & Irina Ipatova, 2016. "How R&D Expenditures Influence Total Factor Productivity and Technical Efficiency?," HSE Working papers WP BRP 128/EC/2016, National Research University Higher School of Economics.
    4. Ipatova, Irina, 2015. "The dynamics of total factor productivity and its components: Russian plastic production," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 21-40.
    5. Tsvetkova, Anna, 2021. "Technical efficiency trends of Russian firms in 2013–2018," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 91-116.
    6. Mogilat , Anastasia & Ipatova, Irina, 2016. "Technical efficiency as a factor of Russian industrial companies’ risks of financial distress," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 05-29.
    7. Shchetynin, Yevhenii, 2015. "Effects of imports on technical efficiency in Russian food industry," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 27-42.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ipatova, Irina, 2015. "The dynamics of total factor productivity and its components: Russian plastic production," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 21-40.
    2. Mogilat , Anastasia & Ipatova, Irina, 2016. "Technical efficiency as a factor of Russian industrial companies’ risks of financial distress," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 05-29.
    3. Shchetynin, Yevhenii, 2015. "Effects of imports on technical efficiency in Russian food industry," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 27-42.
    4. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    5. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    6. Ибрагимова Найля Мурадовна, 2015. "Эмпирическая Оценка Эффективности Ндфл И Ндс В Узбекистане," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 19(1), pages 81-103.
    7. Shchetynin, Yevhenii & Nazrullaeva, Eugenia, 2012. "Effects of fixed capital investments on technical efficiency in food industry," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 63-84.
    8. Yuda, Michio, 2016. "Inefficiencies in the Japanese National Health Insurance system: A stochastic frontier approach," Journal of Asian Economics, Elsevier, vol. 42(C), pages 65-77.
    9. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    10. Agostino, Mariarosaria & Nifo, Annamaria & Trivieri, Francesco & Vecchione, Gaetano, 2016. "Total factor productivity heterogeneity: channelling the impact of institutions," MPRA Paper 72759, University Library of Munich, Germany.
    11. Sabuj Kumar Mandal, 2009. "Technological Progress, Scale Effect and Total Factor Productivity Growth in Indian Cement Industry: Panel Estimation of Stochastic Production Frontier," Working Papers 216, Institute for Social and Economic Change, Bangalore.
    12. Giovanni Marin & Alessandro Palma, 2015. "Technology invention and diffusion in residential energy consumption. A stochastic frontier approach," IEFE Working Papers 81, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    13. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    14. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    15. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    16. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    17. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    18. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    19. Deng, Na-Qian & Liu, Li-Qiu & Deng, Ying-Zhi, 2018. "Estimating the effects of restructuring on the technical and service-quality efficiency of electricity companies in China," Utilities Policy, Elsevier, vol. 50(C), pages 91-100.
    20. Ritwik Mazumder & Maniklal Adhikary, 2010. "Measuring Technical Efficiency in the Indian Automobile Industry," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 11(1), pages 53-67, March.

    More about this item

    Keywords

    technical efficiency; SFA; Russian firms; scale efficiency;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. 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: . General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.