IDEAS home Printed from https://ideas.repec.org/a/osi/journl/v10y2014p369-376.html
   My bibliography  Save this article

Cost Efficiency Of Agroindustrial Companies In Vojvodina: Dea Approach

Author

Listed:
  • Vunjak Nenad

    (University of Novi Sad, Faculty of Economics in Subotica, Republic of Serbia)

  • Davidovic Milivoje

    (University of Novi Sad, Faculty of Economics in Subotica, Republic of Serbia)

Abstract

The aim of this study is to assess the cost efficiency of 25 agro-industrial companies in Vojvodina. The analysis covers the period from 2010 to 2012, and the efficiency of the companies is estimated using the non-parametric DEA techniques. Data Envelopment Analysis (DEA) is a linear programming technique that estimates technical efficiency using the input-output model. This paper will apply an input oriented model with (a) constant returns to scale (CCR model), (b) variable returns to scale (BCC model). Results of CCR and BCC models indicate that the agro-industrial sector in Vojvodina increased the average efficiency score (from 80.45% to 86.97% (CCR) and from 89.37% to 90.74% (BCC)). Also, researc indicates that the introduction of bankruptcy proceedings coincided with improving the efficiency scores and ranking of some companies.

Suggested Citation

  • Vunjak Nenad & Davidovic Milivoje, 2014. "Cost Efficiency Of Agroindustrial Companies In Vojvodina: Dea Approach," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 10, pages 369-376.
  • Handle: RePEc:osi:journl:v:10:y:2014:p:369-376
    as

    Download full text from publisher

    File URL: http://www.efos.hr/repec/osi/journl/PDF/InterdisciplinaryManagementResearchX/IMR10a27
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sara G.Castellanos & Jesus G. Garza-Garcia, 2013. "Competition and Efficiency in the Mexican Banking Sector," Working Papers 1329, BBVA Bank, Economic Research Department.
    2. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2006. "Cost Efficiency in Regional Bus Companies: An Application of Alternative Stochastic Frontier Models," Journal of Transport Economics and Policy, University of Bath, vol. 40(1), pages 95-118, January.
    3. Andries, Alin Marius & Cocris, Vasile, 2010. "A Comparative Analysis of the Efficiency of Romanian Banks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 54-75, December.
    4. Holmgren, Johan, 2013. "The efficiency of public transport operations – An evaluation using stochastic frontier analysis," Research in Transportation Economics, Elsevier, vol. 39(1), pages 50-57.
    5. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    Full references (including those not matched with items on IDEAS)

    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. Vigren, Andreas, 2016. "Cost efficiency in Swedish public transport," Research in Transportation Economics, Elsevier, vol. 59(C), pages 123-132.
    2. Iveta Palečková, 2015. "Banking efficiency in the Czech Republic and Slovakia using the DEA Window Analysis," Working Papers 0012, Silesian University, School of Business Administration.
    3. Alireza Ermagun & David Levinson, 2015. "Access and Transit System Performance," Working Papers 000129, University of Minnesota: Nexus Research Group.
    4. Iveta Palecková, 2017. "Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 3, pages 173-190, September.
    5. Cinzia Daraio & Marco Diana & Flavia Di Costa & Claudio Leporelli & Giorgio Matteucci & Alberto Nastasi, 2014. "Efficiency and effectiveness in the urban public transport sector: a critical review with directions for future research," DIAG Technical Reports 2014-14, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    6. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    7. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    8. Oliver Stein & Nathan Sudermann-Merx, 2016. "The Cone Condition and Nonsmoothness in Linear Generalized Nash Games," Journal of Optimization Theory and Applications, Springer, vol. 170(2), pages 687-709, August.
    9. Mohammad Nourani & Qian Long Kweh & Evelyn Shyamala Devadason & V.G.R. Chandran, 2020. "A decomposition analysis of managerial efficiency for the insurance companies: A data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 885-901, September.
    10. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    11. Banfi, Silvia & Filippini, Massimo, 2010. "Resource rent taxation and benchmarking--A new perspective for the Swiss hydropower sector," Energy Policy, Elsevier, vol. 38(5), pages 2302-2308, May.
    12. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    13. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    14. Halkos, George E. & Tzeremes, Nickolaos G., 2011. "Oil consumption and economic efficiency: A comparative analysis of advanced, developing and emerging economies," Ecological Economics, Elsevier, vol. 70(7), pages 1354-1362, May.
    15. Md Aslam Mia & V. G. R. Chandran, 2016. "Measuring Financial and Social Outreach Productivity of Microfinance Institutions in Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 505-527, June.
    16. Simon, Jose & Simon, Clara & Arias, Alicia, 2011. "Changes in productivity of Spanish university libraries," Omega, Elsevier, vol. 39(5), pages 578-588, October.
    17. Danijela Tuljak-Suban & Patricija Bajec, 2022. "A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes," Energies, MDPI, vol. 15(21), pages 1-23, October.
    18. Mohsen Afsharian & Anna Kryvko & Peter Reichling, 2011. "Efficiency and Its Impact on the Performance of European Commercial Banks," FEMM Working Papers 110018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    19. Barnabé Walheer, 2018. "Cost Malmquist productivity index: an output-specific approach for group comparison," Journal of Productivity Analysis, Springer, vol. 49(1), pages 79-94, February.
    20. Daniel Adelman, 2020. "An Efficient Frontier Approach to Scoring and Ranking Hospital Performance," Operations Research, INFORMS, vol. 68(3), pages 762-792, May.

    More about this item

    Keywords

    cost efficiency; agro-industrial companies; DEA approach; BCC model; CCR model;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure

    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:osi:journl:v:10:y:2014:p:369-376. 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: Hrvoje Serdarusic, PhD (email available below). General contact details of provider: https://edirc.repec.org/data/efosihr.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.