IDEAS home Printed from https://ideas.repec.org/p/ags/aaae10/96648.html
   My bibliography  Save this paper

Decomposing Total Factor Productivity Change of Cotton Cultivars (Barakat-90 and Barac (67)B) in the Gezira Scheme (1991 – 2007) Sudan

Author

Listed:
  • Bushara, Mohamed O.A.
  • Barakat, Hoyam E.

Abstract

The main objective of this paper was to decompose Total Factor Productivity Change (TFPCH) of cotton cultivars Barakat-90 and Barac(67)B in the Gezira scheme in 1991-2007, based on Data Envelopment Analysis Program (DEAP) Software Version 2.1, using model of input–oriented Malmquist indices Total Factor Productivity (TFP). This model could give meaningful results regarding technological and economic behavior relationship over time using balance panel data on Barac(67)B and Barakat-90 cultivars, Relevant secondary data were collected and analyzed to meet the stated objectives. This paper was aimed to decompose TFPCH into two components Technological Change (TECH) and Technical Efficiency Change (EFCH) and the latter was further divided into Scale Efficiency Change (SEFCH) and Pure Efficiency Change (PEFCH). The methodology allowed the recovery of various efficiency and productivity measures. The paper was mainly to answer the questions related to technical efficiency, scale efficiency and productivity changes. In the study on cotton cultivars, the innovation was improving up and down of TECH over time. Scale inefficiency was the main problem in efficiency analysis and mainly due to production operating at increasing returns to scale in Barac(67)B and Barakat-90 operating at constant return to scale. TFPCH was -1.3%, the contribution of EFCH was -1.6% and TECH was 0.30%, the main problem was efficiency change and this was mainly due to scale inefficiency, Barac(67)B contributed to this negative at an average annual rate -3.3%. This implying that the Barac(67)B was ailing due to efficiency change. The study has recommended, substantial improvement in knowledge about productivity and efficiency using scientific approaches, the scheme administration should take full advantage of Barac(67)B cultivar to be extensively grown, Barakat-90 requires further investigation benefiting from technological innovation, additional, improvement in agricultural processing to increase the value added, and the benefit of scientific breakthrough in agricultural science are also recommended.

Suggested Citation

  • Bushara, Mohamed O.A. & Barakat, Hoyam E., 2010. "Decomposing Total Factor Productivity Change of Cotton Cultivars (Barakat-90 and Barac (67)B) in the Gezira Scheme (1991 – 2007) Sudan," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96648, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae10:96648
    DOI: 10.22004/ag.econ.96648
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/96648/files/198.%20TFP%20of%20cotton%20cultivars%20in%20Sudan.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.96648?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. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Fare, Rolf & Grosskopf, Shawna & Yaisawarng, Suthathip & Li, Sung Ko & Wang, Zhaoping, 1990. "Productivity growth in Illinois electric utilities," Resources and Energy, Elsevier, vol. 12(4), pages 383-398, December.
    3. repec:bla:scandj:v:94:y:1992:i:0:p:s207-09 is not listed on IDEAS
    4. Channing Arndt & Thomas W. Hertel & Paul V. Preckel, 2003. "Bridging the Gap between Partial and Total Factor Productivity Measures Using Directional Distance Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 928-942.
    5. Renuka Mahadevan, 2004. "The Economics of Productivity in Asia and Australia," Books, Edward Elgar Publishing, number 2682.
    6. repec:bla:scandj:v:94:y:1992:i:0:p:s193-205 is not listed on IDEAS
    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. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2015. "Spatio-temporal performance of large-scale Gezira Irrigation Scheme, Sudan," Agricultural Systems, Elsevier, vol. 133(C), pages 131-142.
    2. Goelnitz, Anna & Al-Saidi, Mohammad, 2020. "Too big to handle, too important to abandon: Reforming Sudan’s Gezira scheme," Agricultural Water Management, Elsevier, vol. 241(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. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    2. Li, Xingchen & Xu, Guangcheng & Wu, Jie & Xu, Chengzhen & Zhu, Qingyuan, 2024. "Evaluation of bank efficiency by considering the uncertainty of nonperforming loans," Omega, Elsevier, vol. 126(C).
    3. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    4. Kerstin Enflo & Per Hjertstrand, 2009. "Relative Sources of European Regional Productivity Convergence: A Bootstrap Frontier Approach," Regional Studies, Taylor & Francis Journals, vol. 43(5), pages 643-659.
    5. Matthews, Kent & Guo, Jianguang & Zhang, Nina, 2007. "Rational Inefficiency and non-performing loans in Chinese Banking: A non-parametric Bootstrapping Approach," Cardiff Economics Working Papers E2007/5, Cardiff University, Cardiff Business School, Economics Section.
    6. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
    7. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    8. Tommaso Agasisti & Giuseppe Munda & Ralph Hippe, 2019. "Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation," Journal of Productivity Analysis, Springer, vol. 51(2), pages 105-124, June.
    9. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Are institutions a crucial determinant of cross country economic efficiency? A two-stage double bootstrap data envelopment analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 89-114, Spring.
    10. George Emm Halkos & Nickolaos G. Tzeremes, 2011. "Measuring economic journals’ citation efficiency: a data envelopment analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 979-1001, September.
    11. Tauer, Loren W. & Lordkipanidze, Nazibrola, 1999. "Productivity Of Dairy Production In Individual States," 1999 Annual meeting, August 8-11, Nashville, TN 21670, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    13. Mette Asmild & Jens Leth Hougaard & Dorte Kronborg, 2011. "Does the distribution of efficiency scores depend on the input mix?," MSAP Working Paper Series 03_2011, University of Copenhagen, Department of Food and Resource Economics.
    14. George E. Halkos & Nickolaos G. Tzeremes, 2015. "Measuring Seaports' Productivity: A Malmquist Productivity Index Decomposition Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 355-376, April.
    15. Francesco Aiello & Graziella Bonanno, 2013. "Profit and cost efficiency in the Italian banking industry (2006-2011)," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 190-205.
    16. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012. "When, where and how to perform efficiency estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(4), pages 863-892, October.
    17. Raul Moragues & Juan Aparicio & Miriam Esteve, 2023. "Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques," Mathematics, MDPI, vol. 11(11), pages 1-24, June.
    18. Brady, Michael P. & Sohngen, Brent, 2008. "Agricultural Productivity, Technological Change, and Deforestation: A Global Analysis," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6420, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Yamaka, Woraphon & Zhang, Xuefeng & Maneejuk, Paravee & Ramos, Vicente, 2023. "Asymmetric effects of third-country exchange rate risk: A Markov switching approach," Annals of Tourism Research, Elsevier, vol. 103(C).
    20. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

    More about this item

    Keywords

    Crop Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaae10:96648. 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/aaaeaea.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.