IDEAS home Printed from https://ideas.repec.org/p/hhs/iuiwop/0017.html
   My bibliography  Save this paper

Generalized Farrell Measures of Efficiency: An Application to Milk Processing in Swedish Dairy Plants

Author

Listed:
  • Førsund, Finn R.

    (University of Oslo)

  • Hjalmarsson, Lennart

    (Research Institute of Industrial Economics (IFN))

Abstract

This paper is concerned with the measurement of productive efficiency. Farrell's measures of efficiency are generalized to nonhomogeneous production functions. Several new measures of efficiency have been introduced and applied to the Swedish milk processing industry. The empirical analysis is based on a complete set of cross section- time series data for a period of la years of 28 individual plants producing a homogeneous product, pasteurized milk. Industrial structure and structural change are examined by both studying the shape of the efficiency distributions for the individual units and their changes through time. The aggregate performance of the sector is studied by the development of the different measures of structural efficiency.

Suggested Citation

  • Førsund, Finn R. & Hjalmarsson, Lennart, 1978. "Generalized Farrell Measures of Efficiency: An Application to Milk Processing in Swedish Dairy Plants," Working Paper Series 17, Research Institute of Industrial Economics.
    • Handle: RePEc:hhs:iuiwop:0017
    as

    Download full text from publisher

    File URL: https://www.ifn.se/wfiles/wp/wp017.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Zellner & N. S. Revankar, 1969. "Generalized Production Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(2), pages 241-250.
    2. 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.
    3. Wesley D. Seitz, 1970. "The Measurement of Efficiency Relative to a Frontier Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(4), pages 505-511.
    4. Forsund, Finn R & Jansen, Eilev S, 1977. "On Estimating Average and Best Practice Homothetic Production Functions via Cost Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 463-476, June.
    5. Sato, Ryuzo, 1970. "The Estimation of Biased Technical Progress and the Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(2), pages 179-208, June.
    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. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Constantin Chilarescu, 2019. "A Production Function with Variable Elasticity of Factor Substitution," Economics Bulletin, AccessEcon, vol. 39(4), pages 2343-2360.
    3. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    4. Viveka P. Kudaligama & John F. Yanagida, 2000. "A Comparison of Intercountry Agricultural Production Functions: A Frontier Function Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 25(1), pages 57-74, June.
    5. Aly, Hassan Y. & Belbase, Krishna & Grabowski, Richard & Kraft, Steven, 1987. "The Technical Efficiency of Illinois Grain Farms: An Application of a Ray-Homothetic Production Function," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(1), pages 69-78, July.
    6. Ricardo S. Ehlers, 2011. "Comparison of Bayesian models for production efficiency," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2433-2443, January.
    7. Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.
    8. Forsund, Finn R & Hjalmarsson, Lennart, 1979. "Frontier Production Functions and Technical Progress: A Study of General Milk Processing in Swedish Dairy Plants," Econometrica, Econometric Society, vol. 47(4), pages 883-900, July.
    9. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    10. Dae-Hwan Kim & Matarr O. Sambou & Moo-Sup Jung, 2016. "Does Technology Transfer Help Small and Medium Companies? Empirical Evidence from Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
    11. José Solana‐Ibáñez & Manuel Caravaca‐Garratón, 2021. "Stakeholder engagement and corporate social reputation: The influence of exogenous factors on efficiency performance (stakeholder engagement and exogenous factors): Stakeholder engagement and exogenou," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1891-1905, November.
    12. Shiferaw, Kaleb & Berhanu Gebremedhin, Berhanu, 2015. "Technical efficiency of small-scale honey producer in Ethiopia: A Stochastic Frontier Analysis," MPRA Paper 69332, University Library of Munich, Germany.
    13. Isabelle Piot-Lepetit & Dominique Vermersch, 1992. "Mesure non paramétrique des efficacités : une approche duale," Post-Print hal-02349955, HAL.
    14. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    15. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    16. 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.
    17. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    18. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    19. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    20. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.

    More about this item

    Keywords

    Agriculture; Technical progress; Production function;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

    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:hhs:iuiwop:0017. 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: Elisabeth Gustafsson (email available below). General contact details of provider: https://edirc.repec.org/data/iuiiise.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.