IDEAS home Printed from https://ideas.repec.org/a/ags/ajaees/358108.html

Resource-use Efficiency of Shea Nut Processing in Kassena-Nankana West District, Ghana: DEA Approach

Author

Listed:
  • Akaribo, F. N.
  • Sarpong, E.

Abstract

The Shea tree, Vitellaria paradoxa, has been seen as a very important economic God-given tree with numerous benefits for a longtime. The Shea tree, though under threat due to deforestation, still remain abundant in several communities in Ghana. That notwithstanding, shea nut processors have not been able to fully optimize the gains from the Shea tree and thus, this research examines the Resource-use efficiency of Shea nut processing in the Kassena-Nankana West District of Ghana. Data Envelopment Analysis (DEA) was employed to determine the overall technical, pure technical and scale efficiency of the Shea nut processing while bivariate Tobit was used to identify the sources or determinants of both technical and pure technical efficiencies. A SWOT analysis was carried out to identify the potentials and challenges faced by the Shea processors. It was discovered that on the average, the processors operated 50% of their potential overall technical efficiency, 55% of their potential pure technical efficiency and 92% of their potential scale efficiency. Determinants of processors’ technical efficiency include age, household size, experience, access to credit and membership of processors’ group. The SWOT analysis revealed challenges including poor transportation and difficulty in accessing credit. The study, therefore, recommends that, easy access to financial facilities and sensitization on savings are ways to boost processors’ use of new, efficient technologies to help enhance their Resource-use efficiency. Improvement on the road network to enhance easy movement of goods and services is highly recommended.

Suggested Citation

  • Akaribo, F. N. & Sarpong, E., 2021. "Resource-use Efficiency of Shea Nut Processing in Kassena-Nankana West District, Ghana: DEA Approach," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 39(10).
    • Handle: RePEc:ags:ajaees:358108
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/358108/files/Akaribo39102021AJAEES73892.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    2. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, January.
    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. Lee, Boon L. & Wilson, Clevo & Simshauser, Paul & Majiwa, Eucabeth, 2021. "Deregulation, efficiency and policy determination: An analysis of Australia's electricity distribution sector," Energy Economics, Elsevier, vol. 98(C).
    2. Abdoulaye Kané, 2022. "Measurement of total factor productivity: Evidence from French construction firms," EconomiX Working Papers 2022-9, University of Paris Nanterre, EconomiX.
    3. Athanasia Mavrommati & Alexandra Pliakoura, 2025. "Performance dynamics in Greek wine sector: a study of technical efficiency and strategic implications," Operational Research, Springer, vol. 25(1), pages 1-22, March.
    4. Alessandra Cepparulo & Luisa Giuriato, 2022. "The residential healthcare for the elderly in Italy: some considerations for post-COVID-19 policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 671-685, June.
    5. repec:osf:osfxxx:258jk_v1 is not listed on IDEAS
    6. Ozlem Cosgun & Amjad Umar & Dursun Delen, 2024. "Operational assessment of nursing homes at times of pandemic: an integrated DEA and machine learning approach," Operational Research, Springer, vol. 24(4), pages 1-40, December.
    7. Sergi, S. Bruno & D’Aleo, Vittorio & Arbolino, Roberta & Carlucci, Fabio & Barilla, David & Ioppolo, Giuseppe, 2020. "Evaluation of the Italian transport infrastructures: A technical and economic efficiency analysis," Land Use Policy, Elsevier, vol. 99(C).
    8. Veneranda Vedastus Lufano & Dr. Gabriel Kirori & Dr. Rose Mugiira, 2023. "Efficiency Analysis of the Food and Beverage Industry in Tanzania: A Comparative Analysis," International Journal of Economics, IPRJB, vol. 8(2), pages 19-32.
    9. Arzum Buyukkeklik & Harun Dumlu & Samet Evci, 2016. "Measuring the Efficiency of Turkish SMEs: A Data Envelopment Analysis Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(6), pages 190-190, June.
    10. M. D. Castro-Alvarez & C.A. Zuniga-Gonzalez & W. Mercado & R.S. Andrade, 2025. "Rice (Oryza sativa L.) Bioeconomy: A Comprehensive DEA Analysis," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(2), pages 91-120, June.
    11. repec:ags:cfcp15:344277 is not listed on IDEAS
    12. Ajayi, Victor & Anaya, Karim & Pollitt, Michael, 2022. "Incentive regulation, productivity growth and environmental effects: the case of electricity networks in Great Britain," Energy Economics, Elsevier, vol. 115(C).
    13. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    14. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    15. Luis Orea & Christian Growitsch & Tooraj Jamasb, 2012. "Using Supervised Environmental Composites in Production and Efficiency Analyses: An Application to Norwegian Electricity Networks," EWI Working Papers 2012-18, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    16. 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.
    17. Bazyli CZYZEWSKI & Adam MAJCHRZAK, 2017. "Economic size of farms and adjustments of the total factor productivity to the business cycle in Polish agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(2), pages 93-102.
    18. Jie Wu & Qingyuan Zhu & Junfei Chu & Liang Liang, 2015. "Two-Stage Network Structures with Undesirable Intermediate Outputs Reused: A DEA Based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 455-477, October.
    19. Scheierling, Susanne M. & Treguer, David O. & Booker, James F., 2015. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205677, Agricultural and Applied Economics Association.
    20. Andrew S. J. Smith & Jan-Eric Nilsson & Ivan Ridderstedt & Oskar Johansson, 2023. "Efficiency measurement in the tendering of road surface renewal contracts," Journal of Productivity Analysis, Springer, vol. 60(2), pages 189-202, October.
    21. Sotirios Varelas & Georgios Tsoupros, 2024. "Key Performance Indicators and Data Envelopment Analysis in Greek Tourism: A Strategic Planning Tool for Destinations and DMMOs," Sustainability, MDPI, vol. 16(8), pages 1-12, April.
    22. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.

    More about this item

    Keywords

    ;

    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:ajaees:358108. 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://journalajaees.com/index.php/AJAEES/index .

    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.