IDEAS home Printed from https://ideas.repec.org/p/ags/iaae09/51438.html
   My bibliography  Save this paper

Farm Household Efficiency In Mozambique

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/51438/files/FARM_HOUSEHOLD_EFFICIENCY_Moz-iaae.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.51438?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Semwanga, Jordan Paul & Sseruyange, John & Niringiye, Aggrey, 2024. "The Impact of Sludge Manure Adoption on Crop Yields: Evidence from a Propensity Score Matching Approach," African Journal of Economic Review, African Journal of Economic Review, vol. 12(2), June.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    2. AfDB AfDB, 2006. "Working Paper 85 - On Measuring Indebtedness of African Countries: A Stochastic Frontier Debt Production Function," Working Paper Series 2299, African Development Bank.
    3. Nkamleu, Guy Blaise, 2006. "On measuring indebtedness of African countries: A stochastic frontier debt production function," MPRA Paper 14661, University Library of Munich, Germany.
    4. AfDB AfDB, 2006. "Working Paper 85 - On Measuring Indebtedness of African Countries: A Stochastic Frontier Debt Production Function," Working Paper Series 2219, African Development Bank.
    5. Guy Nkamleu & Joachim Nyemeck & Jim Gockowsk, 2010. "Working Paper 104 - Technology Gap and Efficiency in Cocoa Production in West and Central Africa: Implications for Cocoa Sector Development," Working Paper Series 241, African Development Bank.
    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.
    7. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision And Transaction Costs: Evidence From Rice Farms In Bicol, The Philippines," 2000 Annual meeting, July 30-August 2, Tampa, FL 21788, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    9. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    10. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    11. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    12. Zuniga Gonzalez, Carlos Alberto, 2009. "Technical efficiency of organic fertilizer in small farms of Nicaragua: 1998-2005," MPRA Paper 49352, University Library of Munich, Germany, revised 24 Sep 2010.
    13. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    14. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    15. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    16. Firna Varina & Sri Hartoyo & Nunung Kusnadi & Amzul Rifin, 2020. "The Determinants of Technical Efficiency of Oil Palm Smallholders in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 89-93.
    17. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    18. Abiodun Adegboye & Olawale Daniel Akinyele, 2022. "Assessing the determinants of government spending efficiency in Africa," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    19. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    20. Noel Uri, 2003. "The Effect of Incentive Regulation in Telecommunications in the United States," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(2), pages 169-191, May.

    More about this item

    Keywords

    Productivity Analysis;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae09:51438. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.