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Smallholders' Cost Efficiency in Mozambique: Implications for Improved Maize Seed Adoption


  • Zavale, Helder
  • Mabaya, Edward T.
  • Christy, Ralph D.


Maize is an important staple in Mozambique. It is also a dominant crop produced by smallholder farmers. However, the actual maize yields, currently estimated at 1.4 tons/ha, fall short of potential yields of 5-6.5 tons/ha. With population growth rate increasingly exceeding agricultural (and maize) productivity growth rate, the government of Mozambique faces a serious problem of food insecurity and poverty alleviation. This study examines cost inefficiency among smallholder maize farmers in Mozambique, and the impact of improved maize seed adoption on cost efficiency. A Translog functional form is used to estimate the frontier cost function. A cost-inefficiency function is used to examine the factors that determine cost inefficiency among farmers. Econometric techniques to control for self-selection bias resulting from endogeneity of the adoption variable are used.

Suggested Citation

  • Zavale, Helder & Mabaya, Edward T. & Christy, Ralph D., 2006. "Smallholders' Cost Efficiency in Mozambique: Implications for Improved Maize Seed Adoption," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25648, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae06:25648

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    References listed on IDEAS

    1. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    2. Liu, Zinan & Zhuang, Juzhong, 2000. "Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 545-564, September.
    3. Ashok Parikh & Farman Ali & Mir Kalan Shah, 1995. "Measurement of Economic Efficiency in Pakistani Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 675-685.
    4. Nawata, Kazumitsu & Ii, Masako, 2004. "Estimation of the labor participation and wage equation model of Japanese married women by the simultaneous maximum likelihood method," Journal of the Japanese and International Economies, Elsevier, vol. 18(3), pages 301-315, September.
    5. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    6. Binam, Joachim Nyemeck & Tonye, Jean & wandji, Njankoua & Nyambi, Gwendoline & Akoa, Mireille, 2004. "Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon," Food Policy, Elsevier, vol. 29(5), pages 531-545, October.
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    More about this item


    stochastic frontier; technology adoption; selection bias; Mozambique; Crop Production/Industries; Q12; Q16; D13; O33;

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes


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