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Analysis of technical efficiency of potato (Solanum tuberosum L.) production in Chilga District, Amhara National Regional State, Ethiopia

Author

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  • Agerie Nega Wassihun

    (University of Gondar)

  • Tigabu Dagnew Koye

    (University of Gondar)

  • Abebe Dagnew Koye

    (University of Gondar)

Abstract

Background Potato is one of the major staple crops in the Eastern and Central Africa sub-region. Its importance continues to rise due to increased urbanization and demand for potato is projected. This increase will definitely come with its share of challenges that need to be addressed. This study was aimed to measure the level of technical efficiency, yield loss due to inefficiency and identify the factors that influence the efficiency levels of potato producers’ in Chilga District. Primary data were collected from 150 farmers selected using multistage sampling procedure and analyzed using descriptive statistics, a parametric stochastic frontier production function models. Results The results of the study indicated that the minimum, maximum and average yields of potato production in the sample households were 1000, 36,000 and 13,108 kg/ha, respectively. The stochastic frontier and Cobb–Douglas functional form with a one-step approach was employed to analyze efficiency and factors affecting efficiency in potato production. The mean technical efficiency (TE) was found to be 46%, and about 17,782.43 kg of potato output per hectare was lost due to inefficiency factors implying there is a room for improvement in technical efficiency by 54% with the present technology. The Stochastic Production Frontier (SPF) result revealed that DAP at 5% and Oxen, MDE and seed at 1% probability level significantly influencing potato production. The socio-economic variables that exercised important role for variations in technical efficiency positively were age and improved seed and nevertheless distance to market was found to increase inefficiency significantly among farm household. Conclusions There is considerable difference in the efficiency level among plots. Hence if inputs are used to their maximum potential, there will be considerable gain from improvement in technical efficiency. The estimated SPF model together with the inefficiency parameters shows that age and improved seed variety were influenced by inefficiency negatively whereas distance to market increased the level of technical inefficiency.

Suggested Citation

  • Agerie Nega Wassihun & Tigabu Dagnew Koye & Abebe Dagnew Koye, 2019. "Analysis of technical efficiency of potato (Solanum tuberosum L.) production in Chilga District, Amhara National Regional State, Ethiopia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-18, December.
  • Handle: RePEc:spr:jecstr:v:8:y:2019:i:1:d:10.1186_s40008-019-0166-y
    DOI: 10.1186/s40008-019-0166-y
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    References listed on IDEAS

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    2. Ashenafi Woldeselassie & Nigussie Dechassa & Yibekal Alemayehu & Tamado Tana & Bobe Bedadi, 2021. "Soil and Water Management Practices as a Strategy to Cope with Climate Change Effects in Smallholder Potato Production in the Eastern Highlands of Ethiopia," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    3. Abebe Birara Dessie & Tadie Mirie Abate & Betelhem Tsedalu Adane & Tiru Tesfa & Shegaw Getu, 2020. "Estimation of technical efficiency of black cumin (Nigella sativa L.) farming in northwest Ethiopia: a stochastic frontier approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-14, December.
    4. Ruvaraishe Tapera & Dube Phamela & Nyasha Chipunza, 2021. "An Assessment of Economic Efficiency of Smallholder Irish Potato Producers in Nyanga District of Zimbabwe," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(2), pages 434-444, February.
    5. Leonida Emilia BACIU & Vincentiu VERES & Maria MORTAN & Angela-Eliza MICU, 2023. "An Empirical Approach for Optimizing the Production Structure of a Farm Using the Linear Programming Model," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 87-94.
    6. Tigabu Dagnew Koye & Abebe Dagnew Koye & Taye Melese Mekie, 2022. "Analysis of technical efficiency of irrigated tomato production in North Gondar Zone of Amhara Regional State, Ethiopia," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 599-620, December.
    7. Chebil, Ali & Soula, Rania & Souissi, Asma & Bennouna, Bechir, 2022. "Efficiency, valuation, and pricing of irrigation water in northeastern Tunisia," Agricultural Water Management, Elsevier, vol. 266(C).
    8. Shalander Kumar & Abhishek Das & Michael Hauser & Geoffrey Muricho & Tulu Degefu & Asnake Fikre & Chris Ojiewo & Setotaw Ferede & Rajeev K. Varshney, 2022. "Estimating the potential to close yield gaps through increased efficiency of chickpea production in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1241-1258, October.

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