Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Assessing input efficiencies of specialised milk farms in the EU by using a non-radial DEA approach

Bülent Miran https://orcid.org/0000-0001-6229-3740 A *
+ Author Affiliations
- Author Affiliations

A Emeritus Professor of Ege University, Bornova, İzmir, Türkiye.

* Correspondence to: bmiran@gmail.com

Handling Editor: Keith Pembleton

Animal Production Science 64, AN24073 https://doi.org/10.1071/AN24073
Submitted: 8 March 2024  Accepted: 6 August 2024  Published: 23 August 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

The reduced utilisation of inputs in milk production holds significant importance from both sustainability and profitability perspectives.

Aim

This study examines the efficiencies of each input separately utilised in specialised milk farms across the European Union (EU) countries and explores the factors that influence input efficiencies by using non-radial data envelopment analysis (DEA) model with Russell measure method.

Methods

Data from the dairy report of the EU milk-specialised farms compiled by the European Commission (EC) and the Farm Accountancy Data Network (FADN) covering the period from 2013 to 2020 were analysed. The study employed a DEA model to assess efficiency, with a focus on energy, labour, dairy cows, homegrown feed, purchased feed, and operating costs.

Key results

Ireland, Italy, Malta, and the Netherlands demonstrated full efficiency across various aspects of milk production, highlighting their exemplary performance in resource utilisation within the EU. Furthermore, the study identified significant potential for efficiency improvements across the EU countries, with potential reductions ranging from 48.8% to 65.616% in various input usage categories.

Conclusions

The analysis underscored the importance of improving input efficiency to enhance competitiveness in the dairy sector.

Implications

As milk prices and economic performance improve, specialised milk farms tend to become more efficient in managing operating expenses. However, expanding the land area for forage may lead to diminishing returns in resource efficiency, indicating complex interactions and trade-offs affecting input efficiency.

Keywords: European Union, fractional probit, input efficiencies, net farm income, non-radial DEA, non-radial super efficiency, Russel measure, specialised milk farms.

References

Augère-Granier M-L (2018) ‘The EU dairy sector: main features, challenges and prospects.’ (European Parliamentary Research Service)

Bastehzadeh D, Mehrabian S (2022) integrated Slacks-based Measure of Efficiency and Super-efficiency improving in additive Data Envelopment Analysis. Iranian Journal of Operations Research 13(2), 44-61.
| Google Scholar |

Bogetoft P, Otto L (2011) ‘Benchmarking with DEA, SFA, and R.’ (Springer)

Candemir M, Koyubenbe N (2006) Efficiency analysis of dairy farms in the Province of Izmir (Turkey): Data Envelopment Analysis (DEA). Journal of Applied Animal Research 29, 61-64.
| Crossref | Google Scholar |

Coll-Serrano V, Benítez R, Bolós VJ (2018) ‘Tutorial: Data Envelopment Analysis with deaR.’ (University of Valencia: Spain)

Du FL, Ma HF, Fu HQ (2013) Analysis on production efficiency for different patterns of raw milk production. Research of Agricultural Modernization 34, 486-490.
| Google Scholar |

EC (2020) EU milk margin index estimate up to 2020: an overview of estimates of costs of production and gross margin. EU Agricultural and Farm Economics Briefs. European Commission.

Eurostat (2024) Milk and milk product statistics. eurostat: statistics explained. Available at https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Milk_and_milk_product_statistics

FAO (2021) ‘Dairy market review: markets and trade – economic and social development.’ (Food and Agriculture Organization of the United Nations: Rome, Italy)

FAO (2024) Sustainable food and agriculture. Available at https://www.fao.org/sustainability/background/en/?key=1

Färe R, Lovell CA (1978) Measuring the technical efficiency of production. Journal of Economic Theory 19, 150-162.
| Google Scholar |

Färe R, Grosskopf S, Lovell CA (1985) ‘The measurement of efficiency of production.’ (Springer: New York, NY, USA)

Kelly E, Shalloo L, Geary U, Kinsella A, Wallace M (2012) Application of data envelopment analysis to measure technical efficiency on a sample of Irish dairy far. Irish Journal of Agricultural and Food Research 51, 63-77.
| Google Scholar |

Madau FA, Furesi R, Pulina P (2017) Technical efficiency and total factor productivity changes in European dairy farm sectors. Agricultural and Food Economics 5, 17.
| Crossref | Google Scholar |

Miran B (2021a) ‘Verimlilik ve Etkinlik Analizleri [Productivity and Efficiency Analyses].’ (Google Books: Mountain View, CA, USA)

Miran B (2021b) ‘Uygulamalı Ekonometri [Applied Econometrics].’ (Google Books)

Moreira VH, Bravo-Ureta BE (2016) Total factor productivity change in dairy farming: empirical evidence from southern Chile. Journal of Dairy Science 99, 8356-8364.
| Crossref | Google Scholar | PubMed |

Murova O, Chidmi B (2013) Technical efficiency of US dairy farms and federal government programs. Applied Economics 45, 839-847.
| Crossref | Google Scholar |

Parlakay O, Yilmaz H, Gül M, Akkoyun S, Bilgili ME, Vurarak Y, Hizli H, Kiliçalp N (2017) Technical efficiency of dairy cattle farms in the eastern Mediterranean region of Turkey by stochastic frontier analysis. Journal of Animal and Plant Sciences 27, 1689-1694.
| Google Scholar |

Papke LE, Wooldridge JM (1996) Econometric methods for fractional response variables with an application to 401(k) plan participation rates. Journal of Applied Econometrics 11(6), 619-632.
| Crossref | Google Scholar |

Sabasi D, Shumway CR, Astill GM (2019) Off-farm work and technical efficiency on US dairies. Agricultural Economics 50, 379-393.
| Crossref | Google Scholar |

Shen W, Yang G, Zhou Z, Liu W (2019) DEA models with Russell measures. Annals of Operations Research 278(1), 337-359.
| Crossref | Google Scholar |

Silva E, Arzubi A, Berbel J (2013) An application of data envelopment analysis (DEA) in azores dairy farms. In ‘Efficiency measures in the agricultural sector with applications’. (Eds AB Mendes, EL Silva, JM Santos) pp. 73–81. (Springer)

Skevas I, Emvalomatis G, Brümmer B (2018) Productivity growth measurement and decomposition under a dynamic inefficiency specification: the case of German dairy farms. European Journal of Operational Research 271, 250-261.
| Crossref | Google Scholar |

Tone K (2002) A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research 143, 32-41.
| Crossref | Google Scholar |

Wooldridge JM (2010) ‘Econometric analysis of cross section and panel data.’ 2nd edn. (MIT Press: Cambridge, MA, USA)

Yilmaz H, Gelaw F, Speelman S (2020) Analysis of technical efficiency in milk production: a cross-sectional study on Turkish dairy farming. Revista Brasileira de Zootecnia 49, e20180308.
| Crossref | Google Scholar |

Yu Z, Liu H, Peng H, Xia Q, Dong X (2023) Production efficiency of raw milk and its determinants: application of combining data envelopment analysis and stochastic frontier analysis. Agriculture 13, 370.
| Crossref | Google Scholar |