IDEAS home Printed from https://ideas.repec.org/a/ags/bdbjaf/200315.html
   My bibliography  Save this article

Technical Efficiency Of The Hatchery Operators In Fish Seed Production Farms In Bangladesh

Author

Listed:
  • Islam, M. A.
  • Talukder, R. K.
  • Khan, M. A.

Abstract

This siudti- is concerned with the estimation of technical efficiency of the hatchery operators producing fish seed Using 56 samples comprising 15 from Jessore, 10 from Chandpur, 16 from Bogra, and 15 from Siymensingh districts, the study has used frontier 4.1 Package to estimate the technical efficiency of the hatchery operators. A Cobb-Douglas type production function with nine quantitative variables namely. pond area, human labour, feed, fertilizer, number of brood fish, number of times brood used in a year, fuel electricity and hormone dose given to female brood and a dummy for stochastic frontier and a linear technical inefficiency function with 4 variables: Age, Education, Experience and Training received by the hatchery operator were estimated. Several hypotheses tests were performed using Log-likelihood Ratio Test. The mean technical efficiency of the hatchery operators was 60 percent. Technical efficiency were not found to be skewed towards higher or lower scores. rather concentrated in the 30'h, 40`", 60"' and 90°i percentiles. Hypothesis of existence of inefficiency effect was rejected establishing that significant inefficiency exists. More than one third of the seed production potential remains unutilized. Utilizing the unexploited production potential of the fish seed producers rather than establishing new farms and hatcheries appears to be the pertinent policy. Training of the farm hatchery operators can help achieve the unexploited potential.

Suggested Citation

  • Islam, M. A. & Talukder, R. K. & Khan, M. A., 2007. "Technical Efficiency Of The Hatchery Operators In Fish Seed Production Farms In Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 30(1), pages 1-14, June.
  • Handle: RePEc:ags:bdbjaf:200315
    DOI: 10.22004/ag.econ.200315
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/200315/files/Resear_02%20Vol-XXX_1.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.200315?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. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    2. Islam, M. Serajul & Dewan, Somen, 1988. "Status And Economic Efficiency Of Fish Seed Multiplication Farms In Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 11(1), pages 1-11, June.
    3. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    4. 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.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. 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.
    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. repec:zib:zbmahj:v:1:y:2021:i:1:p:14-25 is not listed on IDEAS
    2. Shikuku, Kelvin Mashisia & Tran, Nhuong & Joffre, Olivier M. & Islam, Abu Hayat Md Saiful & Barman, Benoy Kumar & Ali, Shawquat & Rossignoli, Cristiano M., 2021. "Lock-ins to the dissemination of genetically improved fish seeds," Agricultural Systems, Elsevier, vol. 188(C).

    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. Sandrine Kablan & Ouidad Yousfi, 2015. "Performance of Islamic Banks across the World: An Empirical Analysis over the Period 2001-2008," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(1), pages 27-46.
    2. Quoc Ngu Vu, 2002. "Technical Efficiency of Vietnamese Industrial SOEs and Non-SOEs," International and Development Economics Working Papers idec02-6, International and Development Economics.
    3. 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.
    4. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    5. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    6. Tom Kompas, 2001. "Catch, Efficiency and Management: A Stochastic Production Frontier Analysis of the Australian Northern Prawn Fishery," International and Development Economics Working Papers idec01-8, International and Development Economics.
    7. Adegbite, O. & Adeoye, I. B., 2015. "Technical Efficiency of Pineapple Production in Osun State, Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(1), pages 1-10, March.
    8. Emvalomatis, Grigorios & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2008. "An Examination of the Relationship Between Subsidies on Production and Technical Efficiency in Agriculture: The Case of Cotton Producers in Greece," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6673, European Association of Agricultural Economists.
    9. Cuéllar Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "A composed error model decomposition and spatial analysis of local unemployment," MPRA Paper 79783, University Library of Munich, Germany.
    10. Ángel L. Martín‐Román & Jaime Cuéllar‐Martín & Alfonso Moral, 2023. "Natural and cyclical unemployment: A stochastic frontier decomposition and economic policy implications," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 5-39, January.
    11. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.
    12. Ngwenya, S.A. & Battese, George E. & Fleming, Euan M., 1997. "The Relationship Between Farm Size and Technical Inefficiency of Production of Wheat Farmers in the Eastern Free State, Province of South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 36(3), pages 1-20, September.
    13. Giovanni Forchini & Raoul Theler, 2023. "Semi-parametric modelling of inefficiencies in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 59(2), pages 135-152, April.
    14. Gholamreza Hajargasht & William E. Griffiths, 2018. "Estimation and testing of stochastic frontier models using variational Bayes," Journal of Productivity Analysis, Springer, vol. 50(1), pages 1-24, October.
    15. Nguyen To-The & Tuan Nguyen-Anh, 2021. "Impact of government intervention to maize efficiency at farmer’s level across time: a robust evidence in Northern Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2038-2061, February.
    16. Deng, Yaguo, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    17. Weaver, Robert D. & Curtiss, Jarmila & Brümmer, Bernhard, 2005. "Technical Efficiency Effects of Technological Change: Another Perspective on GM Crops," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24528, European Association of Agricultural Economists.
    18. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    19. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    20. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.

    More about this item

    Keywords

    Production Economics;

    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:bdbjaf:200315. 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://edirc.repec.org/data/febaubd.html .

    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.