IDEAS home Printed from https://ideas.repec.org/p/ags/aare06/139900.html
   My bibliography  Save this paper

Measuring Productivity Growth in the Bahraini Agriculture and Fisheries Sector

Author

Listed:
  • Shebeb, Bassim

Abstract

The main objective of this study is to measure and analyze one of the major components of economic performance, multifactor productivity (MFP) growth rate adjusted for economies of scale, and to measure and analyze the growth rate of partial (input-specific) productivity in the Bahraini Agriculture and Fisheries Sector (primary sector) over the time period 1980-2002. A dual cost measure of multifactor productivity growth was developed to obtain a highly interpretable measure of economic performance. Exploiting recent developments in dualcost theory, a well-defined method for empirical estimation has been established. This approach explicitly takes into account the impact of non-neutral technological change and economies of scale that may occur in the long-run production process. An empirical model of multifactor productivity was derived as an application of this dual-cost analysis. The translog long-run cost function was employed to estimate the multifactor productivity growth, technological change, the bias of the technological change, and input-specific (partial) productivity in Bahrain primary sector. The findings of this study show that the presently structured primary sector, in general, have experienced a relatively low productivity growth rate, an annual average of 1.7%. The reason behind this low performance could be the presence of a number of sub-optimal operations with significant low rate of multifactor productivity growth. However, the maximum level of multifactor productivity growth rate was 17.5% in 1994, just before the civil unrest era.

Suggested Citation

  • Shebeb, Bassim, 2006. "Measuring Productivity Growth in the Bahraini Agriculture and Fisheries Sector," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139900, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare06:139900
    DOI: 10.22004/ag.econ.139900
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/139900/files/2006_shebeb.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.139900?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. Terrell, Dek, 1996. "Incorporating Monotonicity and Concavity Conditions in Flexible Functional Forms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 179-194, March-Apr.
    2. Hulten, Charles R. & Wykoff, Frank C., 1981. "The estimation of economic depreciation using vintage asset prices : An application of the Box-Cox power transformation," Journal of Econometrics, Elsevier, vol. 15(3), pages 367-396, April.
    3. B Shebeb, 2002. "Productivity Growth and Capacity Utilization in the Australian Gold Mining Industry: A Short-Run Cost Analysis," Economic Issues Journal Articles, Economic Issues, vol. 7(2), pages 71-82, September.
    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. Karl Whelan, 2002. "Computers, Obsolescence, And Productivity," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 445-461, August.
    2. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    3. Boyan Jovanovic, 2009. "When should firms invest in old capital?," International Journal of Economic Theory, The International Society for Economic Theory, vol. 5(1), pages 107-123, March.
    4. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    5. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
    6. Prados de la Escosura, Leandro & Rosés, Joan R., 2008. "Proximate causes of economic growth in Spain, 1850-2000," IFCS - Working Papers in Economic History.WH wp08-12, Universidad Carlos III de Madrid. Instituto Figuerola.
    7. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio & Massimiliano Iommi, 2012. "Intangible Capital and Growth in Advanced Economies: Measurement Methods and Comparative Results," Economics Program Working Papers 12-03, The Conference Board, Economics Program.
    8. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    9. Lundin, Magnus & Gottfries, Nils & Lindström, Tomas, 2004. "Price and Investment Dynamics: An Empirical Analysis of Plant Level Data," Working Paper Series 2004:7, Uppsala University, Department of Economics.
    10. Kea BARET, 2023. "On the importance of statistical governance quality and accurate targets for fiscal rules’ performance," Working Papers of BETA 2023-40, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    11. Julián David Parada, 2008. "Tasa de depreciación endógena y crecimiento económico," Documentos de Trabajo 4594, Universidad del Rosario.
    12. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    13. Crompton, Paul & Lesourd, Jean-Baptiste, 2008. "Economies of scale in global iron-making," Resources Policy, Elsevier, vol. 33(2), pages 74-82, June.
    14. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-18, July.
    15. William Barnett & Meenakshi Pasupathy, 2003. "Regularity of the Generalized Quadratic Production Model: A Counterexample," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 135-154.
    16. Ludmila Fadejeva & Aleksejs Melihovs, 2010. "Measuring Total Factor Productivity and Variable Factor Utilization," Eastern European Economics, Taylor & Francis Journals, vol. 48(5), pages 63-101, September.
    17. Alan Sage & Mike Langen & Alex van de Minne, 2023. "Where is the opportunity in opportunity zones?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 338-371, March.
    18. Kazuo Ogawa, 2011. "Why Are Concavity Conditions Not Satisfied in the Cost Function? The Case of Japanese Manufacturing Firms during the Bubble Period," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 556-580, August.
    19. Zhenhua Chen & Kingsley E. Haynes, 2015. "Regional Impact of Public Transportation Infrastructure," Economic Development Quarterly, , vol. 29(3), pages 275-291, August.
    20. Charles R. Hulten, 2000. "Total Factor Productivity: A Short Biography," NBER Working Papers 7471, National Bureau of Economic Research, Inc.

    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:aare06:139900. 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/aaresea.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.