IDEAS home Printed from https://ideas.repec.org/p/ags/cudasp/121482.html
   My bibliography  Save this paper

The Causes of Economic Inefficiencies in New York Dairy Farms

Author

Listed:
  • Thomas, Arthur C.
  • Tauer, Loren W.

Abstract

Technical and overall cost efficiencies are measured for 125 New York dairy farms. Explanatory models of efficiencies are estimated to determine how farms can increase their efficiencies. Changes in efficiencies are explained by changes in both assets and prices. Efficiency levels are explained by farm and operator characteristics.

Suggested Citation

  • Thomas, Arthur C. & Tauer, Loren W., 1991. "The Causes of Economic Inefficiencies in New York Dairy Farms," Staff Papers 121482, Cornell University, Department of Applied Economics and Management.
  • Handle: RePEc:ags:cudasp:121482
    DOI: 10.22004/ag.econ.121482
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/121482/files/Cornell%20SP%2091-16.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.121482?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. Tauer, Loren W. & Belbase, Krishna P., 1987. "Technical Efficiency Of New York Dairy Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 16(1), pages 1-7, April.
    2. Fare, Rolf & Grosskopf, Shawna, 1985. " Nonparametric Cost Approach to Scale Efficiency," Scandinavian Journal of Economics, Wiley Blackwell, vol. 87(4), pages 594-604.
    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. Gempesaw, Conrado M., II, 1992. "Nonparametric Analysis Of Production Efficiency: Discussion," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 21(1), pages 1-4, October.
    2. A. M. Aldanondo & V. L. Casasnovas, 2015. "Input aggregation bias in technical efficiency with multiple criteria analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 22(6), pages 430-435, April.
    3. Simar, Leopold & Wilson, Paul, 2018. "Technical, Allocative and Overall Efficiency: Inference and Hypothesis Testing," LIDAM Discussion Papers ISBA 2018018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Michael Zschille, 2014. "Nonparametric measures of returns to scale: an application to German water supply," Empirical Economics, Springer, vol. 47(3), pages 1029-1053, November.
    5. Zelenyuk, Valentin, 2015. "Aggregation of scale efficiency," European Journal of Operational Research, Elsevier, vol. 240(1), pages 269-277.
    6. Barnabé Walheer, 2019. "Disaggregation for efficiency analysis," Journal of Productivity Analysis, Springer, vol. 51(2), pages 137-151, June.
    7. Kwaku Ohene-Asare & Jones Kofi Anyimadu Asare & Charles Turkson, 2019. "Dynamic cost productivity and economies of scale of Ghanaian insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 148-177, January.
    8. Gultom, Yohanna M.L., 2021. "When extractive political institutions affect public-private partnerships: Empirical evidence from Indonesia's independent power producers under two political regimes," Energy Policy, Elsevier, vol. 149(C).
    9. Sueyoshi, Toshiyuki & Goto, Mika, 2001. "Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993," European Journal of Operational Research, Elsevier, vol. 133(2), pages 232-259, January.
    10. Yu, Xiang, 2023. "An assessment of the green development efficiency of industrial parks in China: Based on non-desired output and non-radial DEA model," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 81-88.
    11. Astrid Cullmann & Christian Hirschhausen, 2008. "Efficiency analysis of East European electricity distribution in transition: legacy of the past?," Journal of Productivity Analysis, Springer, vol. 29(2), pages 155-167, April.
    12. Emil Heesche & Mette Asmild, 2022. "Implications of Aggregation Uncertainty in DEA," IFRO Working Paper 2022/02, University of Copenhagen, Department of Food and Resource Economics.
    13. Bravo-Ureta, Boris E. & Rieger, Laszlo & Quiroga, Ricardo E., 1990. "Fixed Effects and Stochastic Frontier Estimates of Firm-Level Technical Efficiency," 1990 Annual meeting, August 5-8, Vancouver, Canada 270867, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van de Woestyne, 2017. "Estimating scale economies in non-convex production models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1442-1451, November.
    15. Ioanna Keramidou & Angelos Mimis & Evangelia Pappa, 2011. "Identifying efficiency drivers in the greek sausage industry: a double bootstrap DEA approach," Economics Bulletin, AccessEcon, vol. 31(1), pages 442-452.
    16. McKillop, D. G. & Glass, J. C. & Ferguson, C., 2002. "Investigating the cost performance of UK credit unions using radial and non-radial efficiency measures," Journal of Banking & Finance, Elsevier, vol. 26(8), pages 1563-1591, August.
    17. Haden, Kimberly L. & Johnson, Larry A., 1989. "Factors Which Contribute To The Financial Performance Of Selected Tennessee Dairies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-8, July.
    18. Rolf Färe & Valentin Zelenyuk, 2020. "Profit Efficiency and its Estimation," CEPA Working Papers Series WP072020, School of Economics, University of Queensland, Australia.
    19. Boussemart, Jean-Philippe & Leleu, Hervé & Parvulescu, Raluca, 2022. "Value-based performance and its decomposition into direct price and quantity effects," European Journal of Operational Research, Elsevier, vol. 303(1), pages 298-311.
    20. José Solana-Ibáñez & Manuel Caravaca-Garratón & Lorena Para-González, 2016. "Two-Stage Data Envelopment Analysis of Spanish Regions: Efficiency Determinants and Stability Analysis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 10(3), September.

    More about this item

    Keywords

    Livestock Production/Industries;

    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:ags:cudasp:121482. 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/dacorus.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.