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Technical efficiency of organic agriculture: a quantitative review

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  • Djokoto, Justice G.

Abstract

This article examines the variations in mean technical efficiency estimates in organic agriculture and the factors that explain the observed variations. A three-stage process was employed in data collection. Firstly, journals on organic agriculture and related disciplines were identified and searched. Secondly, several publishers’ websites and databases, namely Cambridge Journals, Elsevier, Emerald, Oxford University Press, Sage, Taylor and Francis, and Wiley, among others, were covered. Databases included AgEcon Search, CAB Abstracts, DOAJ, EBSCOhost, Google Scholar and ScienceDirect. Thirdly, the reference lists of studies found in the first and second stages were searched to identify additional literature. In all, 42 studies constituting 109 observations covering the period 2002-2014 were found. Unlike existing literature on technical efficiency quantitative reviews in agriculture, this article employs a battery of tests to select the appropriate solution for multiple observations from the same primary study, as well as the appropriate functional form for the selected fractional regression model. The mean technical efficiency of organic agriculture for the period of study and the effects of other study characteristics are thoroughly discussed.

Suggested Citation

  • Djokoto, Justice G., 2015. "Technical efficiency of organic agriculture: a quantitative review," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-11, August.
    • Handle: RePEc:ags:stagec:208884
    DOI: 10.22004/ag.econ.208884
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    2. Geraldo Souza & Eliane Gonçalves Gomes & Eliseu Roberto Alves, 2022. "Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture," Annals of Operations Research, Springer, vol. 314(2), pages 393-409, July.
    3. Artiom Volkov & Mangirdas Morkunas & Tomas Balezentis & Vaida Šapolaitė, 2020. "Economic and Environmental Performance of the Agricultural Sectors of the Selected EU Countries," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    4. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    5. Justice Djokoto & Francis Srofenyo & Akua Arthur, 2016. "Technical Inefficiency Effects in Agriculture—A Meta-Regression," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 8(2), pages 109-109, January.
    6. Thi Lam Bui & Huu Cuong Tran & Hossein Azadi & Philippe Lebailly, 2018. "Improving the Technical Efficiency of Sengcu Rice Producers through Better Financial Management and Sustainable Farming Practices in Mountainous Areas of Vietnam," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    7. Lajos Baráth & Imre Fertő, 2024. "The relationship between the ecologisation of farms and total factor productivity: A continuous treatment analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 404-424, February.
    8. 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.
    9. DJOKOTO, Justice G. & BADU-PRAH, Charlotte & GIDIGLO, Ferguson K. & SROFENYOH, Francis Y. & AGYEI-HENAKU, Kofi Aaron A-O. & AFRANE ARTHUR, Akua A., 2022. "Farm Size And Efficiency Nexus: Evidence From A Meta-Regression," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 25(1), March.
    10. 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.
    11. Nguyen To The & Anh Nguyen Tuan, 2019. "Efficiency and adoption of organic tea production: Evidence from Vi Xuyen district, Ha Giang province, Vietnam," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 201-217, February.
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