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Technology Gap Efficiency of Small-Scale Rice Processors in Anambra State, Nigeria

Author

Listed:
  • Chukwujekwu A. Obianefo

    (IFAD Assisted Value Chain Development Programme, ADP Complex, Enugu-Onitsha Expressway, Awka P.M.B. 5051, Nigeria
    Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka Enugu-Onitsha Expressway, Awka P.M.B. 5025, Nigeria)

  • Ike C. Ezeano

    (Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka Enugu-Onitsha Expressway, Awka P.M.B. 5025, Nigeria)

  • Chinwe A. Isibor

    (Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka Enugu-Onitsha Expressway, Awka P.M.B. 5025, Nigeria)

  • Chinwendu E. Ahaneku

    (Department of Agricultural Economics and Extension, Nnamdi Azikiwe University, Awka Enugu-Onitsha Expressway, Awka P.M.B. 5025, Nigeria)

Abstract

This paper aims to examine the technology gap efficiency of small-scale rice processors in Anambra State, Nigeria. The research was conducted through a survey of 100 small-scale rice processors in Anambra State. Data were collected with structured questionnaires and analyzed using descriptive, stochastic frontier analysis, stochastic meta-frontier model, and inferential statistical techniques. The study revealed that important variables to rice processing present in the state are paddy, firewood, water, and huller. Concerning the economic-specific factors, the cost of grading and other processing assets contributes to inefficiency. The results equally showed that the technology gap efficiency of small-scale rice processors in the industry is tied to or tangential to the frontier output, meaning that the processors in Anambra State are making use of the best technology available. The average efficiency index for the processors in the industry was 0.506, implying that their output is below potential by 49.4%. The results also revealed the technology gap efficiency for the participating and non-participating processors as 0.924 and 0.983, respectively, meaning that the participants need to close an 8.0% gap, and the non-participants need to close a 2.0% gap. These gaps are caused by the high cost of processing equipment, high cost of input, and inadequate infrastructure, among others contributing factors. The paper concluded that the average meta-technical efficiency (0.498) of small-scale rice processors in Anambra State is low and needs to be improved through the provision of adequate technology, training, and infrastructure to bring the current industrial production capacity to 100.0%.

Suggested Citation

  • Chukwujekwu A. Obianefo & Ike C. Ezeano & Chinwe A. Isibor & Chinwendu E. Ahaneku, 2023. "Technology Gap Efficiency of Small-Scale Rice Processors in Anambra State, Nigeria," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4840-:d:1091831
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    References listed on IDEAS

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    1. Majiwa, E. & Mugodo, C., 2018. "Technical efficiency and technology gap ratios among rice farmers in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277209, International Association of Agricultural Economists.
    2. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    3. Chukwujekwu A. Obianefo & John N. Ng’ombe & Agness Mzyece & Blessing Masasi & Ngozi J. Obiekwe & Oluchi O. Anumudu, 2021. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria," Agriculture, MDPI, vol. 11(12), pages 1-13, December.
    4. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    5. Jacob Asravor & Alexander N. Wiredu & Khalid Siddig & Edward E. Onumah, 2019. "Evaluating the Environmental-Technology Gaps of Rice Farms in Distinct Agro-Ecological Zones of Ghana," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    6. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464.
    7. Md. Abu Bakr Siddique & Md. Abdur Rouf Sarkar & Mohammad Chhiddikur Rahman & Afroza Chowdhury & Md. Shajedur Rahaman & Limon Deb, 2017. "Rice farmers technical efficiency under abiotic stresses in Bangladesh," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 7(11), pages 219-232, November.
    8. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    9. Lee, Lung-Fei & Tyler, William G., 1978. "The stochastic frontier production function and average efficiency : An empirical analysis," Journal of Econometrics, Elsevier, vol. 7(3), pages 385-389, April.
    10. Okeh, Okeh C. & Onwosi, Chukwudi O. & Odibo, Frederick John C., 2014. "Biogas production from rice husks generated from various rice mills in Ebonyi State, Nigeria," Renewable Energy, Elsevier, vol. 62(C), pages 204-208.
    11. Ng'ombe, John & Kalinda, Thomson, 2015. "A Stochastic Frontier Analysis of Technical Efficiency of Maize Production Under Minimum Tillage in Zambia," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(2).
    12. Ehirim, Nnamdi & Onyeagocha, Stephen & Ben-Chendo, Glory & Essien, Ubon & Osuji, Emeka & Okwara, Melissa, 2016. "Farming Techniques, Environmental Challenges, and Technical Efficiency of Sweet Potato Production in Abia State, Nigeria," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 6(4), December.
    13. Diarra, Salifou Bakary & Staatz, John M. & Bingen, R. James & Dembele, Niama Nango, 1999. "The Reform Of Rice Milling And Marketing In The Office Du Niger: Catalyst For An Agricultural Success Story In Mali," Staff Paper Series 11729, Michigan State University, Department of Agricultural, Food, and Resource Economics.
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