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Market/Economy

Variables affecting herd average lifetime short-run profit in a sample of Norwegian dairy herds

ORCID Icon, ORCID Icon, &
Pages 50-60 | Received 07 Jan 2020, Accepted 26 Aug 2020, Published online: 13 Sep 2020

References

  • Allendorf, J. J. & Wettemann, P. J. C. (2015). Does animal welfare influence dairy farm efficiency? A two-stage approach. Journal of Dairy Science, 98(11), 7730–7740. doi: 10.3168/jds.2015-9390
  • Alvarez, A., del Corral, J., Solís, D. & Pérez, J. A. (2008). Does intensification improve the economic efficiency of dairy farms? Journal of Dairy Science, 91(9), 3693–3698. doi: 10.3168/jds.2008-1123
  • Atzori, A. S., Tedeschi, L. O. & Cannas, A. (2013). A multivariate and stochastic approach to identify key variables to rank dairy farms on profitability. Journal of Dairy Science, 96(5), 3378–3387. doi: 10.3168/jds.2012-6256
  • Cabrera, V. E., Solis, D. & del Corral, J. (2010). Determinants of technical efficiency among dairy farms in Wisconsin. Journal of Dairy Science, 93(1), 387–393. doi: 10.3168/jds.2009-2307
  • Cherchye, L., Kuosmanen, T. & Leleu, H. (2010). Technical and economic efficiency measures under short-run profit maximizing behavior. Louvain Economic Review, 76(2), 163–173.
  • Cooper, W. W., Seiford, L. M. & Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (Boston, MA: Kluwer Academic).
  • Ebben, J. J. & Johnson, A. C. (2011). Cash conversion cycle management in small firms: Relationships with liquidity, invested capital, and firm performance. Journal of Small Business & Entrepreneurship, 24(3), 381–396. doi: 10.1080/08276331.2011.10593545
  • Enqvist, J., Graham, M. & Nikkinen, J. (2014). The impact of working capital management on firm profitability in different business cycles: Evidence from Finland. Research in International Business and Finance, 32, 36–49. doi: 10.1016/j.ribaf.2014.03.005
  • Hansen, B. G., Stokstad, G., Hegrenes, A., Sehested, E. & Larsen, S. (2005). Key performance indicators on dairy farms. Journal of International Farm Management, 3(1), 1–15.
  • Hansen, B. G. & Greve, A. (2015). The role of human and social capital in dairy farming. Rural Society, 24(2), 154–176. doi: 10.1080/10371656.2015.1060718
  • Hansen, B. G. (2019). CO2-Emission, costs and capacity of different manure management practices- results from an advisory project. Agricultural Systems, 173, 325–334. doi: 10.1016/j.agsy.2019.03.011
  • Hansen, B. G., Moland, K. & Lenning, M. I. (2019). How can dairy farmers become more revenue efficient? efficiency drivers on dairy farms. International Journal of Agricultural Management, 8(2), 65–73.
  • Hastie, T., Tibshirani, R. & Friedman, J. (2009). The Elements of Statistical Learning. Data Mining, Inference, and Prediction (New York: Springer).
  • Heikkila, A. M., Nousiainen, J. I. & Jauhiainen, L. (2008). Optimal replacement policy and economic value of dairy cows with diverse health status and production capacity. Journal of Dairy Science, 91(6), 2342–2352. doi: 10.3168/jds.2007-0736
  • Heinrichs, A. J. (1993). Raising dairy replacements to meet the needs of the 21st century. Journal of Dairy Science, 76(10), 3179–3187. doi: 10.3168/jds.S0022-0302(93)77656-0
  • Heinrichs, A. J., Jones, C. M., Gray, S. M., Heinrichs, P. A., Cornelisse, S. A. & Goodling, R. C. (2013). Identifying efficient dairy heifer producers using production costs and data envelopment analysis. Journal of Dairy Science, 96(11), 7355–7362. doi: 10.3168/jds.2012-6488
  • Heringstad, B., Chang, Y. M., Gianola, D. & Klemetsdal, G. (2004). Multivariate threshold model analysis of clinical mastitis in multiparous Norwegian dairy cattle. Journal of Dairy Science, 87(9), 3038–3046. doi: 10.3168/jds.S0022-0302(04)73436-0
  • Hultgren, J., Svensson, C. & Pehrsson, M. (2011). Rearing conditions and lifetime milk revenues in Swedish dairy cows. Livestock Science, 137(1–3), 108–115. doi: 10.1016/j.livsci.2010.10.005
  • Johnson, R. A. & Wichern, D. W. (2002). Applied Multivariate Statistical Analysis. 5th ed. (Upper Saddle River, NJ: Prentice Hall).
  • 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, 2(3), 149–159. doi: 10.5836/ijam/2013-03-04
  • Kleen, J. L., Hooijer, G. A., Rehage, J. & Noordhuizen, J. P. T. M. (2003). Subacute ruminal acidosis (SARA): A review. Journal of Veterinary Medicine Series A, 50(8), 406–414. doi: 10.1046/j.1439-0442.2003.00569.x
  • Konstantin, P. & Konstantin, M. (2018). Financial Mathematics. In Power and Energy Systems Engineering Economics (Cham: Springer). https://doi.org/10.1007/978-3-319-72383-9_2.
  • Manevska-Tasevska, G., Rabinowicz, E. & Surry, R. Y. (2016). Pure and compensated technical efficiency of Swedish dairy farms. Agricultural and Food Science, 25(2), 111–123. doi: 10.23986/afsci.53182
  • NDHRS. (2017). Statistikksamling fra Ku- og Geitekontrollen 2016. Accessed 27 August 2017, available at: https://medlem.tine.no/aktuelt/nyheter/hk-statistikker/statistikksamling-2016. (in Norwegian).
  • O’Rourke, N. & Hatcher, L. (2013). A Step-by-Step Approach to Using SAS® for Factor Analysis and Structural Equation Modeling. 2nd ed. (Cary, NC: SAS Institute).
  • Pett, M. A., Lackey, N. R. & Sullivan, J. J. (2003). Making Sense of Factor Analysis (Thousand Oaks, CA: Sage).
  • Pirlo, G., Miglior, F. & Speroni, M. (2000). Effect of age at first calving on production traits and on difference between milk yield returns and rearing costs in Italian Holsteins. Journal of Dairy Science, 83(3), 603–608. doi: 10.3168/jds.S0022-0302(00)74919-8
  • Riveros Gavilanes, J. M. (2020). Low sample size and regression: A Monte Carlo approach. Journal of Applied Economic Sciences, 15(1), 22–44.
  • Salte, R., Storli, K. S., Lyby, H. W., Sommerseth, J. K., Prestløkken, E., Volden, H. & Klemetsdal, G. (2020). Designing a replacement heifer strategy: Effects of growth profile on performance of Norwegian Red heifers and cows. Journal of Dairy Science. doi: 10.3168/jds.2020-18385
  • Schaeffer, L. R. (2016). Random regression models. Accessed 5 December 2017, available at: http://www.aps.uoguelph.ca/~lrs/BOOKS/rrmbook.pdf.
  • Storli, K. S., Klemetsdal, G., Volden, H. & Salte, R. (2017). The relationship between Norwegian Red heifer growth and their first-lactation test-day milk yield: A field study. Journal of Dairy Science, 100(9), 7602–7612. doi: 10.3168/jds.2016-12018
  • Tine Rådgiving. (2015). Hvordan bruke nøkkeltall i produksjonen? Accessed 31 July 2017, available at: https://medlem.tine.no/fagprat/driftsledelse/hvordan-bruke-nøkkeltall-for-drifta. (in Norwegian).
  • Volden, H. (2011). NorFor – The Nordic Feed Evaluation System. EAAP Publication No. 130 (Wageningen: Wageningen Academic).
  • Zhu, X., Demeter, R. M. & Lansink, A. O. (2012). Technical efficiency and productivity differentials of dairy farms in three EU countries: The role of CAP subsidies. Agricultural Economics Review, 13(1), 66–92.