IDEAS home Printed from https://ideas.repec.org/a/ags/ijameu/236917.html
   My bibliography  Save this article

Economic factors affecting concentrate usage on Irish sheep farms

Author

Listed:
  • Kilcline, Kevin
  • O'Donoghue, Cathal
  • Hennessy, Thia
  • Hynes, Stephen

Abstract

While comprehensive farm level models for the dairy, beef and cereal sectors have previously been developed, to date, relatively little research has been conducted on the economics of the sheep sector at farm level. Nationally representative farm level data from Teagasc’s National Farm Survey (NFS) is used to develop a model examining the economic factors of concentrate usage on Irish sheep farms informed by the current body of literature on pastoral based production systems research. Results from a 2 step random effects panel regression of a demand function for concentrate use with log linear functional form support the established production literature. The demand for concentrates on Irish sheep farms was found to be elastic and thus sensitive to price changes. Farm labour input, fertiliser application, subscription to an extension and research provider and date of lambing were found to be significantly associated with concentrate demand on sheep enterprises. Results from a second model specification indicate the presence of spatially heterogeneous effects of lambing on concentrate demand across regions.

Suggested Citation

  • Kilcline, Kevin & O'Donoghue, Cathal & Hennessy, Thia & Hynes, Stephen, 2014. "Economic factors affecting concentrate usage on Irish sheep farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 3(4), pages 1-10.
  • Handle: RePEc:ags:ijameu:236917
    DOI: 10.22004/ag.econ.236917
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/236917/files/s8.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.236917?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. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Stephen Hynes & Brian Cahill & Emma J. Dillon & Thia Hennessy & Eoghan Garvey, 2007. "A Panel Data Random Effects Model of Agri-Environment Programme Participation," Working Papers 0708, Rural Economy and Development Programme,Teagasc.
    3. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    4. Stephen Hynes & Eoghan Garvey, 2009. "Modelling Farmers’ Participation in an Agri‐environmental Scheme using Panel Data: An Application to the Rural Environment Protection Scheme in Ireland," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 546-562, September.
    5. Thia Hennessy & Fiona Thorne, 2005. "How Decoupled Are Decoupled Payments? The Evidence from Ireland," Working Papers 0501, Rural Economy and Development Programme,Teagasc.
    6. Breen, James P. & Hennessy, Thia C. & Thorne, Fiona S., 2005. "The effect of decoupling on the decision to produce: An Irish case study," Food Policy, Elsevier, vol. 30(2), pages 129-144, April.
    7. Breen, James P. & Clancy, Daragh & Donnellan, Trevor & Hanrahan, Kevin F., 2012. "Estimating the Elasticity of Demand and the Production Response for Nitrogen Fertiliser on Irish Farms," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134965, Agricultural Economics Society.
    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. Cathal O'Donoghue & Thia Hennessy, 2015. "Policy and Economic Change in the Agri-Food Sector in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 46(2), pages 315-337.
    2. Cathal O'Donoghue & Thia Hennessy, 2014. "Chapter 03: The Agri-Food Sector," Chapters from Rural Economic Development in Ireland, in: Rural Economic Development in Ireland, edition 1, chapter 3, Rural Economy and Development Programme,Teagasc.
    3. Latruffe, Laure & Mann, Stefan, 2009. "Another look at the distribution of direct payments: The link with part-time farming," Working Papers 210395, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    4. Eric Chiang & Djeto Assane, 2007. "Determinants of music copyright violations on the university campus," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(3), pages 187-204, September.
    5. Arndt Reichert & Harald Tauchmann, 2014. "When outcome heterogeneously matters for selection: a generalized selection correction estimator," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 762-768, March.
    6. Takashi Yamagata & Chris Orme, 2005. "On Testing Sample Selection Bias Under the Multicollinearity Problem," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 467-481.
    7. Chiang, Eric P. & Assane, Djeto, 2008. "Music piracy among students on the university campus: Do males and females react differently?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1371-1380, August.
    8. Hamermesh, Daniel S. & Donald, Stephen G., 2008. "The effect of college curriculum on earnings: An affinity identifier for non-ignorable non-response bias," Journal of Econometrics, Elsevier, vol. 144(2), pages 479-491, June.
    9. Daniel S. Hamermesh & Stephen G. Donald, 2004. "The Effect of College Curriculum on Earnings: Accounting for Non-Ignorable Non-Response Bias," NBER Working Papers 10809, National Bureau of Economic Research, Inc.
    10. Insan Tunali & Berk Yavuzoglu, 2018. "Edgeworth Expansion Based Correction Of Selectivity Bias In Models Of Double Selection," Working Papers 1802, Nazarbayev University, Department of Economics, revised Nov 2018.
    11. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2020. "Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 552-568, July.
    12. Eric P. Chiang & Djeto Assane, 2009. "Estimating The Willingness To Pay For Digital Music," Contemporary Economic Policy, Western Economic Association International, vol. 27(4), pages 512-522, October.
    13. James E. Prieger, "undated". "A Generalized Parametric Selection Model for Non-Normal Data," Department of Economics 00-09, California Davis - Department of Economics.
    14. Marjan Petreski & Nikica Blazevski & Blagica Petreski, 2014. "Gender Wage Gap when Women are Highly Inactive: Evidence from Repeated Imputations with Macedonian Data," Journal of Labor Research, Springer, vol. 35(4), pages 393-411, December.
    15. Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(1), pages 3-10, April.
    16. Lewbel, Arthur, 2007. "Endogenous selection or treatment model estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 777-806, December.
    17. Kossova, Elena & Potanin, Bogdan, 2018. "Heckman method and switching regression model multivariate generalization," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 114-143.
    18. Aurora Galego & João Pereira, 2010. "Evidence On Gender Wage Discrimination In Portugal: Parametric And Semi‐Parametric Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 651-666, December.
    19. Lincove, Jane Arnold, 2009. "Determinants of schooling for boys and girls in Nigeria under a policy of free primary education," Economics of Education Review, Elsevier, vol. 28(4), pages 474-484, August.
    20. G. Medda & C. Piga, 2004. "R&S e spillover industriali: un'analisi sulle imprese italiane," Working Paper CRENoS 200406, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    More about this item

    Keywords

    Farm Management; Production Economics;

    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:ijameu:236917. 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/ifmaaea.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.