Identifying and prioritizing opportunities for improving efficiency on the farm: holistic metrics and benchmarking with Data Envelopment Analysis

AD Soteriades, K Rowland, DJ Roberts, AW Stott

Research output: Contribution to journalArticle

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Abstract

Efficiency benchmarking is a well-established way of measuring and improving farm performance. An increasingly popular efficiency benchmarking tool within agricultural research is Data Envelopment Analysis (DEA). However, the literature currently lacks sufficient demonstration of how DEA could be tuned to the needs of the farm advisor/extension officer, rather than of the researcher. Also, the literature is flooded with DEA terminology that may discourage the non-academic practitioner from adopting DEA. This paper aims at making DEA more accessible to farm consultants/extension officers by explaining the method step-by-step, visually and with minimal use of specialised terminology and mathematics. Then, DEA’s potential for identifying cost-reducing and profit-making opportunities for farmers is demonstrated with a series of examples drawn from commercial UK dairy farm data. Finally, three DEA methods for studying efficiency change and trends over time are also presented. Main challenges are discussed (e.g. data availability), as well as ideas for extending DEA’s applicability in the agricultural industry, such as the use of carbon footprints and other farm sustainability indicators in DEA analyses.
Original languageEnglish
Pages (from-to)16 - 29
Number of pages14
JournalInternational Journal of Agricultural Management
Volume7
Issue number1
Early online date1 Jun 2018
DOIs
Publication statusFirst published - 1 Jun 2018

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data analysis
farms
terminology
consultants
agricultural industry
agricultural research
dairy farming
profits and margins
researchers
farmers
methodology

Bibliographical note

1029359

Keywords

  • Benchmarking
  • Commercial dairy farms
  • Data Envelopment Analysis
  • Efficiency
  • Farm management

Cite this

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title = "Identifying and prioritizing opportunities for improving efficiency on the farm: holistic metrics and benchmarking with Data Envelopment Analysis",
abstract = "Efficiency benchmarking is a well-established way of measuring and improving farm performance. An increasingly popular efficiency benchmarking tool within agricultural research is Data Envelopment Analysis (DEA). However, the literature currently lacks sufficient demonstration of how DEA could be tuned to the needs of the farm advisor/extension officer, rather than of the researcher. Also, the literature is flooded with DEA terminology that may discourage the non-academic practitioner from adopting DEA. This paper aims at making DEA more accessible to farm consultants/extension officers by explaining the method step-by-step, visually and with minimal use of specialised terminology and mathematics. Then, DEA’s potential for identifying cost-reducing and profit-making opportunities for farmers is demonstrated with a series of examples drawn from commercial UK dairy farm data. Finally, three DEA methods for studying efficiency change and trends over time are also presented. Main challenges are discussed (e.g. data availability), as well as ideas for extending DEA’s applicability in the agricultural industry, such as the use of carbon footprints and other farm sustainability indicators in DEA analyses.",
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Identifying and prioritizing opportunities for improving efficiency on the farm: holistic metrics and benchmarking with Data Envelopment Analysis. / Soteriades, AD; Rowland, K; Roberts, DJ; Stott, AW.

In: International Journal of Agricultural Management, Vol. 7, No. 1, 01.06.2018, p. 16 - 29.

Research output: Contribution to journalArticle

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