IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/303928.html
   My bibliography  Save this article

Investments, Technical Change and Efficiency: Empirical Evidence from Czech Food Processing

Author

Listed:
  • Tamara Rudinskaya
  • Elena Kuzmenko

Abstract

This empirical study aims to shed light on the dynamic linkages among investments, technical efficiency and productivity of food processing at a sectoral level. We use data obtained from meat and milk processing firms operating in the Czech Republic. The data set covers a period from 2011 to 2015. Being based on a production function frontier framework and the Divisia index our study is focuses on the estimation of technical efficiency and productivity of Czech Food processing firms in connection with the received investments. The results of the conducted analysis have shown that investments, directed to a production process of meat and milk processing firms operating in the Czech Republic, do have a positive effect on their technical efficiency. Moreover, it provides an opportunity to increase the capacity of raw milk processing. Higher TFP in food processing industry may result in higher TFP in agriculture.

Suggested Citation

  • Tamara Rudinskaya & Elena Kuzmenko, 2019. "Investments, Technical Change and Efficiency: Empirical Evidence from Czech Food Processing," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 11(4), December.
  • Handle: RePEc:ags:aolpei:303928
    DOI: 10.22004/ag.econ.303928
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/303928/files/436_agris-on-line-2019-4-rudinskaya-kuzmenko.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.303928?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pires, Jorge Oliveira & Garcia, Fernando, 2004. "Productivity of nations: a stochastic frontier approach to TFP decomposition," Textos para discussão 143, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Bernini, Cristina & Pellegrini, Guido, 2011. "How are growth and productivity in private firms affected by public subsidy? Evidence from a regional policy," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 253-265, May.
    3. Coelli, Tim J. & Perelman, Sergio & Van Lierde, Dirk, 2006. "CAP Reforms and Total Factor Productivity Growth in Belgian Agriculture: A Malmquist Index Approach," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25472, International Association of Agricultural Economists.
    4. Mezera, Josef & Spicka, Jindrich, 2013. "Economic Effects of Investment Support of Adding Value to Food Products," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(1), pages 1-11, March.
    5. repec:lic:licosd:37015 is not listed on IDEAS
    6. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    7. Lukáš Čechura & Heinrich Hockmann, 2017. "Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 702-719, October.
    8. Dale W. Jorgenson, 1995. "Productivity, Volume 1: Postwar US Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100495, April.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    11. 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.
    12. Bergschmidt, Angela (Ed.) & Dirksmeyer, Walter (Ed.) & Efken, Josef (Ed.) & Forstner, Bernhard (Ed.) & Uetrecht, Inge (Ed.), 2006. "Proceedings of the European Workshop on the Evaluation of Farm Investment Support, Investment Support for Improvement of Processing and Marketing of Agricultural Products," Arbeitsberichte aus der vTI-Agrarökonomie 03/2006, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    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. Lukáš Čechura & Zdeňka Žáková Kroupová, 2021. "Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use?," Sustainability, MDPI, vol. 13(4), pages 1-19, February.

    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. Rudinskaya, T. & Náglová, Z., 2018. "Impact of Subsidies on Technical Efficiency of Meat Processing Companies," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(1).
    2. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    3. repec:use:tkiwps:3232 is not listed on IDEAS
    4. Cazals Catherine & Dudley Paul & Florens Jean-Pierre & Jones Michael, 2011. "The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for the Postal Sector," Review of Network Economics, De Gruyter, vol. 10(3), pages 1-22, September.
    5. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    6. Christopoulos, Dimitris K. & McAdam, Peter, 2019. "Efficiency, Inefficiency, And The Mena Frontier," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 489-521, March.
    7. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    8. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    9. Florian Dorn, 2021. "Elections and Government Efficiency," ifo Working Paper Series 363, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Russ Kashian & Nicholas Lovett & Yuhan Xue, 2020. "Has the affordable care act affected health care efficiency?," Journal of Regulatory Economics, Springer, vol. 58(2), pages 193-233, December.
    11. William Horrace & Seth Richards-Shubik & Ian Wright, 2015. "Expected efficiency ranks from parametric stochastic frontier models," Empirical Economics, Springer, vol. 48(2), pages 829-848, March.
    12. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    14. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    15. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    16. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    17. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    18. Chih-Hai Yang & Ku-Hsieh Chen, 2009. "Are small firms less efficient?," Small Business Economics, Springer, vol. 32(4), pages 375-395, April.
    19. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    20. Sumon K. Bhaumik & Ying Zhou, 2014. "Do business groups help or hinder technological progress in emerging markets? Evidence from India," William Davidson Institute Working Papers Series wp1066, William Davidson Institute at the University of Michigan.
    21. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.

    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:ags:aolpei:303928. See general information about how to correct material in RePEc.

    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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fevszcz.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.