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Systematic review and meta-regression analysis of technical efficiency in dairy farms

Author

Listed:
  • Taciana Mareth
  • Antonio Marcio Tavares Thomé
  • Fernando Luiz Cyrino Oliveira
  • Luiz Felipe Scavarda

Abstract

Purpose - – The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE). Design/methodology/approach - – The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed. Findings - – The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers. Originality/value - – This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement.

Suggested Citation

  • Taciana Mareth & Antonio Marcio Tavares Thomé & Fernando Luiz Cyrino Oliveira & Luiz Felipe Scavarda, 2016. "Systematic review and meta-regression analysis of technical efficiency in dairy farms," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(3), pages 279-301, March.
    • Handle: RePEc:eme:ijppmp:v:65:y:2016:i:3:p:279-301
    DOI: 10.1108/IJPPM-02-2015-0027
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    Citations

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    Cited by:

    1. Dragan Milić & Tihomir Novaković & Dragana Tekić & Bojan Matkovski & Danilo Đokić & Stanislav Zekić, 2023. "Economic Sustainability of the Milk and Dairy Supply Chain: Evidence from Serbia," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    2. Justice G. Djokoto & Ferguson K. Gidiglo & Francis Y. Srofenyoh & Kofi Aaron A-O. Agyei-Henaku & Akua A. Afrane Arthur & Charlotte Badu-Prah & John Fry, 2020. "Sectoral and spatio-temporal differentiation in technical efficiency: A meta-regression," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1773659-177, January.
    3. Fabio A. Madau & Roberto Furesi & Pietro Pulina, 2017. "Technical efficiency and total factor productivity changes in European dairy farm sectors," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-14, December.
    4. Artur Wilczynski & Ewa Koloszycz & Michal Switlyk, 2020. "Technical Efficiency of Dairy Farms: An Empirical Study of Producers in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 117-127.
    5. Phuc Trong Ho & Michael Burton & Chunbo Ma & Atakelty Hailu, 2022. "Quantifying heterogeneity, heteroscedasticity and publication bias effects on technical efficiency estimates of rice farming: A meta‐regression analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 580-597, June.

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