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Technical Efficiency Dynamics In Smallholding Cassava-Based Farming In Rural Nigeria

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  • Oluwakemi Adeola Obayelu

    (Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan.)

  • Ifeoluwa Tunrayo Awoku

    (Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan.)

  • Fatai Abiola Sowunmi

    (Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan.)

  • Mudashiru Akinyemi

    (Department of Agricultural Economics, Federal University, Dutsin-Ma, Katsina State, Nigeria)

Abstract

Dynamics of production efficiency is a key factor in assessing resource-use patterns and production growth. Raising technical efficiency of smallholder farmers in rural areas would not only increase their income but also stimulate the rest of the economy. This study therefore assessed movement of smallholder farmers in and out of technical efficiency regime over time in Nigeria. Panel data from Living Standard Measurement Survey was analysed using stochastic production frontier model, Markov chain and multinomial logit model. Farm size, labour, cassava cuttings and the use of pesticides, significantly influenced the productivity of cassava production while age squared, household size, no access to extension services and membership of a cooperative society reduced the efficiency of the farming households. A higher percentage (64.83%) of cassava farms under mono-cropping system were efficient in 2010/2011, while a large proportion of about 92.91% were inefficient in 2015/2016. Further, the rate of entry into technical inefficiency (31.32%) was more than the rate of exit from technical inefficiency (14.89%). Transition into technical inefficiency was explained by age, age squared, farm size, gender, household size, marital status, secondary school education and farming systems. In the long run, the probability that rural cassava farmers will be technically efficient was higher than that of being technically inefficient in the future.

Suggested Citation

  • Oluwakemi Adeola Obayelu & Ifeoluwa Tunrayo Awoku & Fatai Abiola Sowunmi & Mudashiru Akinyemi, 0. "Technical Efficiency Dynamics In Smallholding Cassava-Based Farming In Rural Nigeria," Food & Agribusiness Management (FABM), Zibeline International Publishing, vol. 3(2), pages 67-73.
  • Handle: RePEc:zib:zbfabm:v:3:y:2022:i:2:p:67-73
    DOI: 10.26480/fabm.02.2022.67.73
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    References listed on IDEAS

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    1. Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    2. Lipton, Michael, 2005. "The family farm in a globalizing world: the role of crop science in alleviating poverty," 2020 vision discussion papers 40, International Food Policy Research Institute (IFPRI).
    3. Igbekele A. Ajibefun, 2008. "Technical Efficiency Analysis of Micro-enterprises: Theoretical and Methodological Approach of the Stochastic Frontier Production Functions Applied to Nigerian Data," Journal of African Economies, Centre for the Study of African Economies, vol. 17(2), pages 161-206, March.
    4. Omononona B.T. & A.T. Akanbi & O.A. Egbetokun, 2010. "Farmers Resource – Use And Technical Efficiency In Cowpea Production In Nigeria," Economic Analysis and Policy, Elsevier, vol. 40(1), pages 102-110, March.
    5. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    6. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    7. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    8. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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