IDEAS home Printed from https://ideas.repec.org/p/ags/aaea20/304395.html
   My bibliography  Save this paper

The role of hired labor in transient and persistent technical efficiency on Irish dairy farms

Author

Listed:
  • Garcia, Luis
  • Laepple, Doris
  • Dillon, Emma
  • Thorne, Fiona

Abstract

No abstract is available for this item.

Suggested Citation

  • Garcia, Luis & Laepple, Doris & Dillon, Emma & Thorne, Fiona, 2020. "The role of hired labor in transient and persistent technical efficiency on Irish dairy farms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304395, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea20:304395
    DOI: 10.22004/ag.econ.304395
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/304395/files/18579.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.304395?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. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    2. Massimo Filippini & Thomas Geissmann & William H. Greene, 2018. "Persistent and transient cost efficiency—an application to the Swiss hydropower sector," Journal of Productivity Analysis, Springer, vol. 49(1), pages 65-77, February.
    3. Ayal Kimhi, 2009. "Demand for on-farm permanent hired labour on family holdings: a comment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(3), pages 447-452, September.
    4. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    5. Michel Blanc & Eric E. Cahuzac & Bernard B. Elyakime & Gabriel Tahar, 2008. "Demand for on-farm permanent hired labour on family holdings," Post-Print hal-02668945, HAL.
    6. Michel Blanc & Eric Cahuzac & Bernard Elyakime & Gabriel Tahar, 2008. "Demand for on-farm permanent hired labour on family holdings," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 35(4), pages 493-518, December.
    7. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 275-285, December.
    8. Tommaso Agasisti & Sabine Gralka, 2019. "The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis," Applied Economics, Taylor & Francis Journals, vol. 51(46), pages 5012-5030, October.
    9. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    10. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    11. Aurélie Darpeix & Céline Bignebat & Philippe Perrier-Cornet, 2014. "Demand for Seasonal Wage Labour in Agriculture: What Does Family Farming Hide?," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 257-272, January.
    12. Benjamin, Dwayne, 1992. "Household Composition, Labor Markets, and Labor Demand: Testing for Separation in Agricultural Household Models," Econometrica, Econometric Society, vol. 60(2), pages 287-322, March.
    13. Qingjie Xia & Colin Simmons, 2004. "The Determinants of Labour-time Allocation between Farm and Off-farm Work in Rural China: the Case of Liaoning Province," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 2(2), pages 169-184.
    14. Avner Ahituv & Ayal Kimhi, 2006. "Simultaneous estimation of work choices and the level of farm activity using panel data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(1), pages 49-71, March.
    15. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    16. Darlington Sabasi & C. Richard Shumway & Gregory M. Astill, 2019. "Off‐farm work and technical efficiency on U.S. dairies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(4), pages 379-393, July.
    17. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Panel data stochastic frontier model with determinants of persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 271(2), pages 746-755.
    18. Alvarez, Antonio & Arias, Carlos, 2015. "Effects of switching between production systems in dairy farming," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(1), pages 1-16, April.
    19. Doris Läpple & Bradford L Barham & Jean-Paul Chavas, 2020. "The role of extension in dynamic economic adjustments: the case of Irish dairy farms [What influences farm size growth? An illustration in Southwestern France]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(1), pages 71-94.
    20. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    21. Philip Kostov & Sophia Davidova & Alastair Bailey, 2019. "Comparative Efficiency of Family and Corporate Farms: Does Family Labour Matter?," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(1), pages 101-115, February.
    22. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    23. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen, 2019. "Technology heterogeneity and policy change in farm-level efficiency analysis: an application to the Irish beef sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(2), pages 193-214.
    24. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency," Economics Letters, Elsevier, vol. 162(C), pages 5-9.
    25. Iraizoz, Belen & Gorton, Matthew & Davidova, Sophia, 2007. "Segmenting farms for analysing agricultural trajectories: A case study of the Navarra region in Spain," Agricultural Systems, Elsevier, vol. 93(1-3), pages 143-169, March.
    26. Avi Fiegenbaum & Howard Thomas, 1993. "Industry And Strategic Group Dynamics: Competitive Strategy In The Insurance Industry, 1970–84," Journal of Management Studies, Wiley Blackwell, vol. 30(1), pages 69-105, January.
    27. 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.
    28. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
    29. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    30. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "Heterogeneity of Long†run Technical Efficiency of German Dairy Farms: A Bayesian Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(1), pages 58-75, February.
    31. Beatriz Tovar & Héctor Rodríguez-Déniz, 2015. "Classifying Ports for Efficiency Benchmarking: A Review and a Frontier-based Clustering Approach," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 378-400, May.
    32. Fernandez-Cornejo, Jorge & Mishra, Ashok K. & Nehring, Richard F. & Hendricks, Chad & Southern, Malaya & Gregory, Alexandra, 2007. "Off-Farm Income, Technology Adoption, And Farm Economic Performance," Economic Research Report 7234, United States Department of Agriculture, Economic Research Service.
    33. Štefan Bojnec & Imre Fertő, 2013. "Farm income sources, farm size and farm technical efficiency in Slovenia," Post-Communist Economies, Taylor & Francis Journals, vol. 25(3), pages 343-356, September.
    34. repec:wly:hlthec:v:26:y:2017:i::p:5-22 is not listed on IDEAS
    35. Kelly, E & Shalloo, L & Geary, U & Kinsella, A. & Thorne, F & Wallace, M, 2013. "An analysis of the factors associated with technical and scale efficiency of Irish dairy farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(3), pages 1-11, April.
    36. Fabian Frick & Johannes Sauer, 2018. "Deregulation and Productivity: Empirical Evidence on Dairy Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 354-378.
    37. Kumbhakar, Subal C. & Wang, Hung-Jen, 2005. "Estimation of growth convergence using a stochastic production frontier approach," Economics Letters, Elsevier, vol. 88(3), pages 300-305, September.
    38. Klopčič, Marija & Kuipers, Abele & Malak-Rawlikowska, Agata & Stalgiene, Aldona & Ule, Anita & Erjavec, Karmen, 2019. "Dairy farmers' strategies in four European countries before and after abolition of the milk quota," Land Use Policy, Elsevier, vol. 88(C).
    39. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.
    40. Chavas, Jean-Paul, 2001. "Structural change in agricultural production: Economics, technology and policy," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 5, pages 263-285, Elsevier.
    41. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    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. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    2. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 760-781, September.
    3. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 422-438, May.
    4. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
    5. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    6. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    7. 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).
    8. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    9. Maziotis, Alexandros & Molinos-Senante, Maria, 2022. "The impact of model specification and environmental variables on measuring the overall technical efficiency of water and sewerage services: Evidence from Chile," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 191-198.
    10. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.
    11. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    12. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    13. 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.
    14. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    15. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    16. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    17. Ahimbisibwe, Vianny & Zhunusova, Eliza & Kassa, Habtemariam & Günter, Sven, 2024. "Technical efficiency drivers of farmer-led restoration strategies, and how substantial is the unrealised potential for farm output?," Agricultural Systems, Elsevier, vol. 213(C).
    18. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    19. Subal C. Kumbhakar & Norman V. Loayza & Vivian Norambuena, 2020. "International Benchmarking for Country Economic Diagnostics," Working Papers wp498, University of Chile, Department of Economics.
    20. Kumbhakar,Subal C. & Loayza,Norman V. & Norambuena,Vivian, 2020. "International Benchmarking for Country Economic Diagnostics : A Stochastic Frontier Approach," Policy Research Working Paper Series 9304, The World Bank.

    More about this item

    Keywords

    Productivity Analysis; Labor and Human Capital; Production Economics;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaea20:304395. 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/aaeaaea.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.