IDEAS home Printed from https://ideas.repec.org/a/ags/ccsesa/309768.html
   My bibliography  Save this article

Technical Efficiency of Moringa Production: A case Study in Wolaita and Gamo Zones, Southern Ethiopia

Author

Listed:
  • Tafesse, Alula
  • Goshu, Degye
  • Gelaw, Fedaku
  • Ademe, Alelign

Abstract

Moringa has been becoming among vastly growing and trading commodities in different parts of Ethiopia for its multiple benefits. However, empirical researches analyzing its productivity at smallholder farmer level were missing. This study aimed to fill the existing gap with a cross-sectional survey study on sampled 117 Moringa producer farmers from southern Ethiopia. The Stochastic Frontier Model was used to estimate the level and factors determining the technical efficiency of Moringa production. The collected data fitted Cobb-Douglas production function with inputs, labor and the numbers of trees positively and significantly determined the output of Moringa. An estimated level of efficiency shows farmers have the possibility to increase Moringa output by 47.81% with existing inputs and technology. The land, off-farm activities, access to road, credit, and irrigation were significant factors affecting the technical efficiency of Moringa. It requires policies and development actions to perform on mechanisms to advance the production of Moringa. Hence, any development direction to enhance Moringa production should consider households with limited access to land and irrigation. Furthermore, the development of road infrastructure is required to increase agricultural productivity. In sum, modern credit institutions, as well as facilities, found essential to improve the livelihood of Moringa producers in the area.

Suggested Citation

  • Tafesse, Alula & Goshu, Degye & Gelaw, Fedaku & Ademe, Alelign, 2020. "Technical Efficiency of Moringa Production: A case Study in Wolaita and Gamo Zones, Southern Ethiopia," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 9(2).
  • Handle: RePEc:ags:ccsesa:309768
    DOI: 10.22004/ag.econ.309768
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/309768/files/5e42062358399.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.309768?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. 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.
    2. Joachim Binam & Kalilou Sylla & Ibrahim Diarra & Gwendoline Nyambi, 2003. "Factors Affecting Technical Efficiency among Coffee Farmers in Côte d’Ivoire: Evidence from the Centre West Region," African Development Review, African Development Bank, vol. 15(1), pages 66-76.
    3. repec:fth:exetec:99/14 is not listed on IDEAS
    4. Catherine Guirkinger & Stephen R. Boucher, 2008. "Credit constraints and productivity in Peruvian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 295-308, November.
    5. Guermat, C. & Hadri, K., 1999. "Heteroscedasticity in Stochastic Frontier Models: a Monte Carlo Analysis," Discussion Papers 9914, University of Exeter, Department of Economics.
    6. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    7. 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.
    8. Alene, Arega D. & Manyong, Victor M. & Gockowski, James, 2006. "The production efficiency of intercropping annual and perennial crops in southern Ethiopia: A comparison of distance functions and production frontiers," Agricultural Systems, Elsevier, vol. 91(1-2), pages 51-70, November.
    9. repec:exe:wpaper:99/14 is not listed on IDEAS
    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. Alula Tafesse & Degye Goshu & Fekadu Gelaw & Alelign Ademe, 2021. "Technical Efficiency of Moringa Production: A case Study in Wolaita and Gamo Zones, Southern Ethiopia," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 9(2), pages 1-30, December.
    2. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    3. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    4. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(01), pages 1-18.
    5. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    6. 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).
    7. 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.
    8. 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.
    9. Karagiannis, Giannis & Sarris, Alexander H., 2002. "Direct Subsidies and Technical Efficiency in Greek Agriculture," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24868, European Association of Agricultural Economists.
    10. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    11. T. O. Ojo & A. A. Ogundeji & S. C. Babu & T. Alimi, 2020. "Estimating financing gaps in rice production in Southwestern Nigeria," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-18, December.
    12. B.N.Goldar & V.S.Renganathan & Rashmi Banga, 2003. "Ownership and efficiency in engineering firms in India, 1990-91 to 1999-2000," Indian Council for Research on International Economic Relations, New Delhi Working Papers 115, Indian Council for Research on International Economic Relations, New Delhi, India.
    13. Camilla Mastromarco, 2008. "Foreign Capital And Efficiency In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 351-374, October.
    14. Dhehibi, Boubaker, 2010. "Productive Efficiency in Water Usage: An Analysis of Differences among Citrus Producing Farms Sizes in Tunisia," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 97328, African Association of Agricultural Economists (AAAE).
    15. Roberto Furesi & Fabio Madau & Pietro Pulina, 2013. "Technical efficiency in the sheep dairy industry: an application on the Sardinian (Italy) sector," Demography, Springer;Population Association of America (PAA), vol. 1(1), pages 1-11, December.
    16. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    17. 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.
    18. Donald Siegel & Mike Wright & Wendy Chapple & Andy Lockett, 2008. "Assessing The Relative Performance Of University Technology Transfer In The Us And Uk: A Stochastic Distance Function Approach," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(7-8), pages 717-729.
    19. 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.
    20. Jose M. Cordero & Cristina Polo & Daniel Santín, 2020. "Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation," Operational Research, Springer, vol. 20(4), pages 2245-2265, December.

    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:ccsesa:309768. 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: http://www.ccsenet.org/sar .

    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.