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Improved Management Practices Adoption And Technical Efficiency Of Shrimp Farmers In Bangladesh: A Sample Selection Stochastic Production Frontier Approach

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  • Rahman, M Sadique
  • Kazal, Mohammad Mizanul Haque
  • Rayhan, Shah Johir

Abstract

Adoption of improved management practices and technical efficiency can play a crucial role in the growth of aquaculture sector. The present study jointly estimates the determinants of improved management practices adoption and technical efficiency of shrimp farmers using a sample selection stochastic production frontier model. A total of 300 shrimp farmers were interviewed to achieve the objectives. The findings indicate that 41% of the respondents adopted improved practices. Training and extension contact significantly influenced adoption. Adopters received higher yields (343 kg/ha/year) than non-adopters (297 kg/ha/year). Mean technical efficiency was significantly higher for adopters (0.82) than for non-adopters (0.72). Shrimp production of adopters can be increased by 22% by improving technical efficiency level. Policy implications included improvement in current extension facilities to sustain and increase adoption and productivity. Modifying the existing extension approaches would help to improve technical efficiency and adoption of improved management practices.

Suggested Citation

  • Rahman, M Sadique & Kazal, Mohammad Mizanul Haque & Rayhan, Shah Johir, 2020. "Improved Management Practices Adoption And Technical Efficiency Of Shrimp Farmers In Bangladesh: A Sample Selection Stochastic Production Frontier Approach," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 41(1), July.
    • Handle: RePEc:ags:bdbjaf:304169
    DOI: 10.22004/ag.econ.304169
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    References listed on IDEAS

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    1. Sumelius, John & Islam, K.M. Zahidul & Sipilainen, Timo, 2011. "Access to Microfinance: Does it Matter for Profit Efficiency Among Small Scale Rice Farmers in Bangladesh?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116067, European Association of Agricultural Economists.
    2. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    3. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    4. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    5. Mensah-Bonsu, Akwasi & Sarpong, Daniel Bruce & Al-Hassan, Ramatu & Asuming-Brempong, Samuel & Egyir, Irene S. & Kuwornu, John K. M. & Osei-Asare, Yaw B., 2017. "Intensity of and factors affecting land and water management practices among smallholder maize farmers in Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(2), June.
    6. Rahman, Sanzidur, 2011. "Resource use efficiency under self-selectivity: the case of Bangladeshi rice producers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-18.
    7. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    8. repec:zwi:journl:v:43:y:2012:i:1:p:55-72 is not listed on IDEAS
    9. 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.
    10. Khan Claudette Mengui & Saera Oh & Sang Hyeon Lee, 2019. "The Technical Efficiency of Smallholder Irish Potato Producers in Santa Subdivision, Cameroon," Agriculture, MDPI, vol. 9(12), pages 1-13, December.
    11. Millicent deGraft-Johnson & Aya Suzuki & Takeshi Sakurai & Keijiro Otsuka, 2014. "On the transferability of the Asian rice green revolution to rainfed areas in sub-Saharan Africa: an assessment of technology intervention in Northern Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 555-570, September.
    12. Rashid, M. H. A. & Chen, John-ren, 2002. "Technical Efficiency Of Shrimp Farmers In Bangladesh: A Stochastic Frontier Production Function Analysis," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 25(2), pages 1-17, December.
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