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A comparison of DEA and SFA methods: a case study of farm households in Bangladesh

Author

Listed:
  • Alexandros M. Theodoridis
  • Md. Mazharul Anwar

    (Aristotle University of Thessaloniki, Greece)

Abstract

Non-parametric Data Envelopment Analysis (DEA) and parametric Stochastic Frontier Analysis (SFA) have become very popular in the analysis of productive efficiency. This study undertakes a comparison of the SFA and the constant returns to scale (CRS) and variable returns to scale (VRS) output-oriented DEA models, based on a sample of 240 farms in Bangladesh. However, the aim of this paper is not only to compare estimates of technical efficiency obtained from the two approaches, but also to examine the determinants of inefficiency. The detection and measurement of technical inefficiency and its determinants can be used as a basis of policy recommendations. The results from both the approaches indicated that there is a potential for increasing farm production through efficiency improvement and that farmers' age and educational level have a significant effect on efficiency.

Suggested Citation

  • Alexandros M. Theodoridis & Md. Mazharul Anwar, 2011. "A comparison of DEA and SFA methods: a case study of farm households in Bangladesh," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 95-110, July-Dece.
    • Handle: RePEc:jda:journl:vol.45:year:2011:issue1:pp:95-110
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    Citations

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    Cited by:

    1. María E. Pérez-Pons & Marta Plaza-Hernández & Ricardo S. Alonso & Javier Parra-Domínguez & Javier Prieto, 2020. "Increasing Profitability and Monitoring Environmental Performance: A Case Study in the Agri-Food Industry through an Edge-IoT Platform," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    2. Stéphane Korsaga, 2018. "Land Tenure Security, Land-Related Investments and Agricultural Performance in Sub-Saharan Africa: Efficiency or Equity? A Microeconomic Analysis Applied to the Case of Burkina Faso," Working Papers halshs-01699118, HAL.
    3. Sengphachan Khounthikoumane & Jae Bong Chang & Yoonsuk Lee, 2021. "Profit Efficiency of Rice Farms in Wet-Season Lowlands in Champhone District, Savannakhet Province, Lao PDR," Agriculture, MDPI, vol. 11(7), pages 1-10, July.
    4. Ana Pérez-González & Pablo Carlos & Elisa Alén, 2022. "An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: a simulation study," Operational Research, Springer, vol. 22(3), pages 3089-3112, July.
    5. Mulugeta Y. Birhanu & Tesfahun Alemayehu & Jasmine E. Bruno & Fasil Getachew Kebede & Emmanuel Babafunso Sonaiya & Ezekiel H. Goromela & Oladeji Bamidele & Tadelle Dessie, 2021. "Technical Efficiency of Traditional Village Chicken Production in Africa: Entry Points for Sustainable Transformation and Improved Livelihood," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    6. Muhammad Aamir, Shahzad & Waqar, Akram & Muhammad, Khan, 2016. "Technical Efficiency Analysis of Wheat Farms in the Punjab, Pakistan: DEA Approach," MPRA Paper 81846, University Library of Munich, Germany, revised 01 Oct 2017.
    7. Blend Frangu & Jennie Sheerin Popp & Michael Thomsen & Arben Musliu, 2018. "Evaluating Greenhouse Tomato and Pepper Input Efficiency Use in Kosovo," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    8. Tanko, Mohammed & Ismaila, Salifu, 2021. "How culture and religion influence the agriculture technology gap in Northern Ghana," World Development Perspectives, Elsevier, vol. 22(C).
    9. Gianluca Bortoletto & Donata Favaro, 2019. "Healthcare efficiency across European countries during the recent economic crisis," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2019(2), pages 9-38.
    10. Muhammad Dimyati & Adhi Indra Hermanu, 2023. "Evaluating Research Efficiency in Indonesian Higher Education Institution," Evaluation Review, , vol. 47(2), pages 155-181, April.
    11. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.

    More about this item

    Keywords

    Stochastic Frontier Analysis; Data Envelopment Analysis; Technical Efficiency; Determinants of Inefficiency; Farm Households;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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