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Farm Household Efficiency In Mozambique

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  • Uaiene, Rafael N.
  • Arndt, Channing

Abstract

This article provides estimates of farm household efficiency and its determinants among smallholder farmers in Mozambique. A translog stochastic frontier production function and a first difference model incorporating a model of farm household inefficiency effects are applied to test the existence of agricultural farm household inefficiencies and their determinants in Mozambique. The null hypothesis of equal farm household efficiency among households was rejected. Variation in farm household efficiency indicates that access to agricultural technology is a severe constraint for most farm households. Factors such as access to advisory services, access to rural credit, membership to an agricultural association, use of improved agricultural technology (irrigation, improved seeds, animal traction and chemical inputs), were found to reduce significantly the level of household farm household inefficiencies. The stochastic production frontier shifted outwards but many farmers did not move along with it. Changes in access to extension, access to credit explain changes in the inefficiency change between 2002 and 2005.

Suggested Citation

  • Uaiene, Rafael N. & Arndt, Channing, 2009. "Farm Household Efficiency In Mozambique," 2009 Conference, August 16-22, 2009, Beijing, China 51438, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae09:51438
    DOI: 10.22004/ag.econ.51438
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    References listed on IDEAS

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    1. Yiping Huang & K.P. Kalirajan, 1997. "Potential of China's grain production: evidence from the household data," Agricultural Economics, International Association of Agricultural Economists, vol. 17(2-3), pages 191-199, December.
    2. Channing Arndt & Henning Tarp Jensen & Finn Tarp, 2000. "Structural Characteristics of the Economy of Mozambique: A SAM‐based Analysis," Review of Development Economics, Wiley Blackwell, vol. 4(3), pages 292-306, October.
    3. Guy Nkamleu, 2004. "Productivity Growth, Technical Progress and Efficiency Change in African Agriculture," African Development Review, African Development Bank, vol. 16(1), pages 203-222.
    4. 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.
    5. 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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    Cited by:

    1. Florence Kondylis & Valerie Mueller & S. Zhu, 2015. "Measuring agricultural knowledge and adoption," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 449-462, May.
    2. Jimi, Nusrat A & Kumbhakar, Subal & Nikolov, Plamen V & Malek, Mohammad Abdul, 2016. "Does Credit Access Improve Firm Output? Evidence from a Field Experiment in Bangladesh," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236230, Agricultural and Applied Economics Association.
    3. Asekenye, Cresenia & Bravo-Ureta, Boris E. & Deom, Mike & Kidula, Nelson & Okello, David Kalule & Okoko, Nasambu & Puppala, Naveen, 2016. "Productivity gaps among groundnut farmers in Kenya and Uganda: A stochastic production frontier analysis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(2), pages 1-16.
    4. Ellen Aab¯ & Thomas Kring, "undated". "The Political Economy of Large-Scale Agricultural Land Acquisitions: Implications for Food Security and Livelihoods/Employment Creation in Rural Mozambique," UNDP Africa Policy Notes 2012-004, United Nations Development Programme, Regional Bureau for Africa.
    5. Mburu, Samuel & Ackello-Ogutu, Chris & Mulwa, Richard, 2015. "Analysis of Economic Efficiency and Farm Size: A Case Study of Wheat Farmers in Nakuru District, Kenya," 2015 Conference, August 9-14, 2015, Milan, Italy 212452, International Association of Agricultural Economists.

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