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Technical Efficiency of Soybean Farms and Its Determinants in Saboba and Chereponi Districts of Northern Ghana: A Stochastic Frontier Approach

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  • Etwire, Prince Maxwell
  • Martey, Edward
  • Dogbe, Wilson

Abstract

This study analyzes the level and determinants of technical efficiency of soybean farms in the Saboba and Chereponi districts of northern Ghana. A multi-stage sampling technique was used to select 200 soybean farmers from which cross-sectional data was collected using a structured questionnaire. Data collected includes farmers’ socio-economic characteristics such as age and education as well as input and output quantities and prices. Data was analyzed using the stochastic frontier approach. Results showed a mean technical efficiency estimate of 53 percent and the return to scale was 0.75. Location of farm, participation in the Agricultural Value Chain Mentorship Project and age of farmer were found to be important in explaining technical inefficiency among soybean farmers. This implies that farmers in the short run can increase their production by 47 percent by adopting practices of the best soybean farms in Saboba and Chereponi districts of northern Ghana.

Suggested Citation

  • Etwire, Prince Maxwell & Martey, Edward & Dogbe, Wilson, 2013. "Technical Efficiency of Soybean Farms and Its Determinants in Saboba and Chereponi Districts of Northern Ghana: A Stochastic Frontier Approach," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 2(4).
    • Handle: RePEc:ags:ccsesa:230547
    DOI: 10.22004/ag.econ.230547
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    6. Singh, Kehar & Dey, Madan Mohan & Rabbani, Abed G. & Sudhakaran, Pratheesh O. & Thapa, Ganesh, 2009. "Technical Efficiency of Freshwater Aquaculture and its Determinants in Tripura, India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2), July.
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    Cited by:

    1. 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.
    2. Nguyen-Anh, Tuan & Hoang-Duc, Chinh & Tiet, Tuyen & Nguyen-Van, Phu & To-The, Nguyen, 2022. "Composite effects of human, natural and social capitals on sustainable food-crop farming in Sub-Saharan Africa," Food Policy, Elsevier, vol. 113(C).
    3. Bahari Bahari & Haji Saediman & Laode Geo & Norma Arif, 2019. "Government Institutional Support in Increasing the Productivity of Soybean Seed Breeders Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 9(6), pages 142-150.
    4. TSIBOE, Francis & ASEETE, Paul & DJOKOTO, Justice G., 2021. "Spatiotemporal Evaluation Of Dry Beans And Groundnut Production Technology And Inefficiency In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(1), March.
    5. Justice G. Djokoto & Korbla F. Gidiglo, 2016. "Technical Efficiency in Agribusiness: A Meta‐Analysis on Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 32(3), pages 397-415, July.
    6. Aniah Dominic Avea & Jing Zhu & Xu Tian & Tomas Baležentis & Tianxiang Li & Michael Rickaille & William Funsani, 2016. "Do NGOs and Development Agencies Contribute to Sustainability of Smallholder Soybean Farmers in Northern Ghana—A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 8(5), pages 1-17, May.
    7. Edward Martey & Wilson Dogbe & Prince Etwire & Alexander Wiredu, 2015. "Impact of Farmer Mentorship Project on Farm Efficiency and Income in Rural Ghana," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(10), pages 1-79, September.
    8. Bempomaa, Beatrice & Acquah, Henry de-Graft, 2014. "Technical Efficiency Analysis of Maize Production: Evidence from Ghana," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 8(2-3), pages 1-7, September.

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