IDEAS home Printed from https://ideas.repec.org/a/rnd/arjebs/v6y2014i8p658-669.html
   My bibliography  Save this article

Efficiency and Profitability of Tanzanian saving and Credit Cooperatives: Who is a Star?

Author

Listed:
  • Nyankomo Marwa

Abstract

The objective of this paper is to evaluate and benchmark the performance of Tanzanian Saving and Credit Cooperatives (SACCOs). Measuring the performance of these organizations is useful in helping them to monitor and control their performance and business processes and improve productivity and profitability. The study used secondary data from audited financial statements from 103 SACCOs. Technical efficiency was estimated using the data envelopment analysis approach and profitability was measured using return on assets. Then an efficiency-profitability matrix was employed to distinguish best performers from struggling SACCOs. This particular approach has been selected to account for multiple dimensions of performance measures. Using the top 25% as a cut-off for profitability and efficiency we found that only 12% of the firms were diagnosed as best performers (stars). The majority of the firms (61%) were classified under the low efficiency low profitability category. Fourteen SACCOs were highly profitable but had low efficiency scores, which demonstrate a potential for performance improvement by increasing their efficiency. Another group of 14 SACCOs were classified as potential candidates for divestiture because they had high efficiency scores but low profitability. Conclusively the performance of the industry in Tanzania needs a well-thought turnaround strategy to make it commercially viable. For the majority of the SACCO both profit-increasing and efficiencyincreasing strategies are required.

Suggested Citation

  • Nyankomo Marwa, 2014. "Efficiency and Profitability of Tanzanian saving and Credit Cooperatives: Who is a Star?," Journal of Economics and Behavioral Studies, AMH International, vol. 6(8), pages 658-669.
  • Handle: RePEc:rnd:arjebs:v:6:y:2014:i:8:p:658-669
    DOI: 10.22610/jebs.v6i8.526
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/526/526
    Download Restriction: no

    File URL: https://ojs.amhinternational.com/index.php/jebs/article/view/526
    Download Restriction: no

    File URL: https://libkey.io/10.22610/jebs.v6i8.526?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. Joe Zhu, 2014. "Quantitative Models for Performance Evaluation and Benchmarking," International Series in Operations Research and Management Science, Springer, edition 3, number 978-3-319-06647-9, September.
    2. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    3. A S Camanho & R G Dyson, 1999. "Efficiency, size, benchmarks and targets for bank branches: an application of data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 903-915, September.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. 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.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Andreas Soteriou & Stavros A. Zenios, 1999. "Operations, Quality, and Profitability in the Provision of Banking Services," Management Science, INFORMS, vol. 45(9), pages 1221-1238, September.
    8. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    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. Thembi Xaba & Nyankomo Marwa & Babita Mathur-Helm, 2018. "Efficiency and Profitability Analysis of Agricultural Cooperatives in Mpumalanga, South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 1-10.
    2. Moses Nyangu & Nyankomo Marwa & Ashenafi Fanta & Latacz-Lohmann Uwe, 2022. "The Dynamics of Bank Concentration, Competition and Efficiency in the East African Community," Journal of Industry, Competition and Trade, Springer, vol. 22(1), pages 21-49, March.

    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. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    2. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    3. Jaeho Shin & Yeongjun Kim & Changhee Kim, 2021. "The Perception of Occupational Safety and Health (OSH) Regulation and Innovation Efficiency in the Construction Industry: Evidence from South Korea," IJERPH, MDPI, vol. 18(5), pages 1-14, February.
    4. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    5. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    6. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    7. César Salazar & Roberto Cárdenas-Retamal & Marcela Jaime, 2023. "Environmental efficiency in the salmon industry—an exploratory analysis around the 2007 ISA virus outbreak and subsequent regulations in Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8107-8135, August.
    8. Piot-Lepetit, Isabelle & Nzongang, Joseph, 2014. "Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi-DEA approach," European Journal of Operational Research, Elsevier, vol. 234(1), pages 319-330.
    9. G.S. Donatos & D.I. Giokas, 2008. "Relative Efficiency in the branch network of a Greek bank: A quantitative analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 53-72.
    10. Jradi, Samah & Bouzdine Chameeva, Tatiana & Aparicio, Juan, 2019. "The measurement of revenue inefficiency over time: An additive perspective," Omega, Elsevier, vol. 83(C), pages 167-180.
    11. Dean Uèkar & Danijel Petroviæ, 2021. "Efficiency of banks in Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 39(2), pages 349-379.
    12. Sunil Kumar, 2008. "An Analysis of Efficiency–Profitability Relationship in Indian Public Sector Banks," Global Business Review, International Management Institute, vol. 9(1), pages 115-129, June.
    13. Simon Cornée & Gervais Thenet, 2016. "Efficience des institutions de microfinance en Bolivie et au Pérou:une approche data envelopment analysis en deux étapes," Revue Finance Contrôle Stratégie, revues.org, vol. 19(1), pages 65-91, March.
    14. Carlos Pestana Barros & Maria Teresa Medeiros Garcia, 2006. "Performance Evaluation of Pension Funds Management Companies with Data Envelopment Analysis," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 9(2), pages 165-188, September.
    15. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    16. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
    17. Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
    18. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    19. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    20. Ikram Ullah Khan & Sadaqat Ali & Habib Nawaz Khan, 2018. "Market Concentration, Risk-taking, and Efficiency of Commercial Banks in Pakistan: An Application of the Two-Stage Double Bootstrap DEA," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 65-96, June.

    More about this item

    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:rnd:arjebs:v:6:y:2014:i:8:p:658-669. 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: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/jebs .

    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.