IDEAS home Printed from https://ideas.repec.org/p/ags/cmpart/117711.html
   My bibliography  Save this paper

Technical Efficiency Of Upland Rice Producers In South Western Uganda

Author

Listed:
  • Jude, Asiimwe. K.

Abstract

Uganda’s rice demand has been on an increase due to increasing population, urbanization and changing consumer preferences. The resulting effect has been increased importation of rice into the country consequently straining foreign exchange accounts. Insufficiency in the rice supply is related to the low national average yield of 1.5t/ha. New upland rice varieties that are high yielding have been introduced in the country to improve national supply, save wetlands, fight food insecurity and improve incomes of the rural poor. This study was conducted in South Western Uganda in the districts of Bushenyi and Rukungiri. It examined whether farmers were technically efficient in input use to generate the required output levels and the farm specific factors that were affecting their technical efficiency. A total of 196 respondents were randomly selected from four rice producing sub counties using a sampling frame generated by the sub county leaders. A Cobb Douglas production function was fitted to the data to generate results. Analysis was accomplished using frontier 4.1 programme. Results revealed that production of upland rice involved excessive use of labour (1136 person days/ ha) and seeds (154kg/ha) compared to the recommended rates. It was also found that technical efficiency of upland producers were below the frontier level averaging at 61% and the existing output was being achieved through land expansion. Attainment of primary five education significantly (P=0.076) improved efficiency of farmers. For farm level technical efficiency of upland rice to improve, yield improving and labour saving technologies need to be introduced notably soil enriching aspects like fertilizers. For labour saving technologies, use pre or post emergency herbicides and mechanization of the upland rice would be a better move in the right direction. Lastly promoting primary education and specialised extension services that target upland rice will improve efficiency greatly.

Suggested Citation

  • Jude, Asiimwe. K., 2009. "Technical Efficiency Of Upland Rice Producers In South Western Uganda," Research Theses 117711, Collaborative Masters Program in Agricultural and Applied Economics.
  • Handle: RePEc:ags:cmpart:117711
    DOI: 10.22004/ag.econ.117711
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/117711/files/Asimwe%20Jude%20thesis.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.117711?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. 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. Subal C. Kumbhakar, 1994. "Efficiency estimation in a profit maximising model using flexible production function," Agricultural Economics, International Association of Agricultural Economists, vol. 10(2), pages 143-152, April.
    3. Alvarez, Antonio & Arias, Carlos, 2004. "Technical efficiency and farm size: a conditional analysis," Agricultural Economics, Blackwell, vol. 30(3), pages 241-250, May.
    4. Lockheed, Marlaine E & Jamison, Dean T & Lau, Lawrence J, 1980. "Farmer Education and Farm Efficiency: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 29(1), pages 37-76, October.
    5. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    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.
    7. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Anthony Rezitis & Kostas Tsiboukas & Stauros Tsoukalas, 2002. "Measuring technical efficiency in the Greek agricultural sector," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1345-1357.
    3. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), pages 1-14, April.
    4. Nay, Myo Aung, 2011. "Agricultural efficiency of rice farmers in Myanmar : a case study in selected areas," IDE Discussion Papers 306, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    5. Srinivasulu Rajendran, 2014. "Technical Efficiency of Fruit and Vegetable Producers in Tamil Nadu, India: A Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 77-93, June.
    6. Jara-Rojas, Roberto & Bravo-Ureta, Boris E. & Moreira, Victor H. & Diaz, Jose, 2012. "Natural Resource Conservation and Technical Efficiency from Small-scale Farmers in Central Chile," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126227, International Association of Agricultural Economists.
    7. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    8. Madau, Fabio A., 2011. "Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).
    9. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    10. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CIRED Working Papers halshs-02080285, HAL.
    11. Imori, Denise & Guilhoto, Joaquim José Martins & Postali, Fernando Antonio Slaibe, 2012. "Eficiência técnica das agropecuárias familiar e patronal – diferenças regionais no Brasil [Technical efficiency of agricultural households and business - regional differences in Brazil]," MPRA Paper 46954, University Library of Munich, Germany.
    12. Imori, Denise & Guilhoto, Joaquim José Martins & Postali, Fernando Antonio Slaibe, 2012. "Production efficiency of family farms and business farms in the Brazilian regions," MPRA Paper 46995, University Library of Munich, Germany.
    13. Vangelis Tzouvelekas & Konstantinos Giannakas & Peter Midmore & Konstantinos Mattas, 1997. "Technical efficiency measures for olive-growing farms in Crete, Greece," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 3(2), pages 154-169, May.
    14. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    15. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
    16. Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.
    17. Bernhard Brümmer & Jens‐Peter Loy, 2000. "The Technical Efficiency Impact of Farm Credit Programmes: A Case Study of Northern Germany," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(3), pages 405-418, September.
    18. repec:kap:iaecre:v:3:y:1997:i:2:p:154-169 is not listed on IDEAS
    19. Ashok K. Mishra & Saleem Shaik & Aditya R. Khanal & Subir Bairagi, 2018. "Contract farming and technical efficiency: Evidence from low†value and high†value crops in Nepal," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 426-440, March.
    20. Alwin Keil & Alwin D’souza & Andrew McDonald, 2015. "Zero-tillage as a pathway for sustainable wheat intensification in the Eastern Indo-Gangetic Plains: does it work in farmers’ fields?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(5), pages 983-1001, October.
    21. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.

    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:cmpart:117711. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.agriculturaleconomics.net .

    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: http://www.agriculturaleconomics.net .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.