IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0116085.html
   My bibliography  Save this article

Assessing the Total Factor Productivity of Cotton Production in Egypt

Author

Listed:
  • Xosé A Rodríguez
  • Yahia H Elasraag

Abstract

The main objective of this paper is to decompose the productivity growth of Egyptian cotton production. We employ the stochastic frontier approach and decompose the changes in total factor productivity (CTFP) growth into four components: technical progress (TP), changes in scale component (CSC), changes in allocative efficiency (CAE), and changes in technical efficiency (CTE). Considering a situation of scarce statistical information, we propose four alternative empirical models, with the purpose of looking for convergence in the results. The results provide evidence that in this production system total productivity does not increase, which is mainly due to the negative average contributions of CAE and TP. Policy implications are offered in light of the results.

Suggested Citation

  • Xosé A Rodríguez & Yahia H Elasraag, 2015. "Assessing the Total Factor Productivity of Cotton Production in Egypt," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-14, January.
    • Handle: RePEc:plo:pone00:0116085
    DOI: 10.1371/journal.pone.0116085
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0116085
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0116085&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0116085?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. Allan N. Rae & Hengyun Ma & Jikun Huang & Scott Rozelle, 2006. "Livestock in China: Commodity-Specific Total Factor Productivity Decomposition Using New Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 680-695.
    3. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    4. Rae, Allan N. & Ma, H. & Huang, J. & Rozelle, Scott, 2006. "AJAE Appendix: Livestock in China: Commodity-specific Total Factor Productivity Decomposition Using New Panel Data," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 88(3), pages 1-64, August.
    5. Derek Headey & Mohammad Alauddin & D.S. Prasada Rao, 2010. "Explaining agricultural productivity growth: an international perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 1-14, January.
    6. 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.
    7. Chun Kwon Yoo & Munisamy Gopinath & Hanho Kim, 2012. "Trade Policy Reform, Productivity Growth and Welfare in South Korean Agriculture," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(3), pages 472-488.
    8. Jayasuriya, Rohan T., 2003. "Economic assessment of technological change and land degradation in agriculture: application to the Sri Lanka tea sector," Agricultural Systems, Elsevier, vol. 78(3), pages 405-423, December.
    9. Elumalai Kannan, 2011. "Total Factor Productivity Growth and Its Determinants in Karnataka Agriculture," Working Papers 265, Institute for Social and Economic Change, Bangalore.
    10. Hasnah & Fleming, Euan & Coelli, Tim, 2004. "Assessing the performance of a nucleus estate and smallholder scheme for oil palm production in West Sumatra: a stochastic frontier analysis," Agricultural Systems, Elsevier, vol. 79(1), pages 17-30, January.
    11. Md Kamrul Hossain & Anton Abdulbasah Kamil & Md Azizul Baten & Adli Mustafa, 2012. "Stochastic Frontier Approach and Data Envelopment Analysis to Total Factor Productivity and Efficiency Measurement of Bangladeshi Rice," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
    12. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    13. Rao, N. Chandrasekhara, 2005. "Total Factor Productivity in Andhra Pradesh Agriculture," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 18(1), January.
    14. Songqing Jin & Hengyun Ma & Jikun Huang & Ruifa Hu & Scott Rozelle, 2010. "Productivity, efficiency and technical change: measuring the performance of China’s transforming agriculture," Journal of Productivity Analysis, Springer, vol. 33(3), pages 191-207, June.
    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. Mita Bagchi & Sanzidur Rahman & Yao Shunbo, 2019. "Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)," Economies, MDPI, vol. 7(2), pages 1-16, May.
    2. Dhehibi, Boubaker & El-Shahat, Ali Ahmed Ibrahim Ali & Frija, Aymen & Hassan, Aden-Aw, 2016. "Growth in Total Factor Productivity in the Egyptian Agriculture Sector: Growth Accounting and Econometric Assessments of Sources of Growth," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 5(1).
    3. Diarra, Lacina, 2020. "Rural off-farm employment and agricultural production efficiency: evidence from Tazania," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304600, Agricultural and Applied Economics Association.

    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. Koiry, Subrata & Huang, Wei, 2023. "Do ecological protection approaches affect total factor productivity change of cropland production in Sweden?," Ecological Economics, Elsevier, vol. 209(C).
    2. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    3. Khush Bukhat Zahid, 2023. "Household Market Participation, Access, and Farm Productivity in AJK: Evidence from Farm Household Data," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(3), pages 375-394.
    4. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    5. Kharin, Sergei, 2021. "Asymmetry in Price Transmission: Evidence from the Wheat-Flour Supply Chain in Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    6. Uuld, Amar & Magda, Robert & Bilan, Yuriy, 2021. "An Analysis of Technical Efficiency of Vegetables’ Household Production in Mongolia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    7. Nehring, Richard & Erickson, Kenneth & Michael, Harris & Hallahan, Charlie & Katchova, Ani, 2016. "Heartland, Southern Seaboard, and Prairie Gateway: A Farm-Level Analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235666, Agricultural and Applied Economics Association.
    8. Xiaobing Wang & Futoshi Yamauchi & Jikun Huang, 2016. "Rising wages, mechanization, and the substitution between capital and labor: evidence from small scale farm system in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 309-317, May.
    9. Zhang, Yumei & Diao, Xinshen, 2020. "The changing role of agriculture with economic structural change – The case of China," China Economic Review, Elsevier, vol. 62(C).
    10. Zhu, Shu & Xu, Xin & Ren, Xiaojing & Sun, Tianhua & Oxley, Les & Rae, Allan & Ma, Hengyun, 2016. "Modeling technological bias and factor input behavior in China's wheat production sector," Economic Modelling, Elsevier, vol. 53(C), pages 245-253.
    11. 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.
    12. Diro, Samuel & Mohammed, Ali & Getahun, Wudineh & Mamo, Tadele, 2024. "Technical Efficiency of Smallholder Wheat Farmers in Ethiopia: A Panel Data Approach," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344277, International Association of Agricultural Economists (IAAE).
    13. Gabriela Pérez Quesada, 2017. "Technical efficiency of dairy farms in Uruguay: a stochastic production frontier analysis," Documentos de Trabajo (working papers) 0517, Department of Economics - dECON.
    14. Murthy, D. Sreenivasa & Sudha, M. & Hegde, M.R. & Dakshinamoorthy, V., 2009. "Technical Efficiency and its Determinants in Tomato Production in Karnataka, India: Data Envelopment Analysis (DEA) Approach," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2), July.
    15. Yongtong Shao & Tao Xiong & Minghao Li & Dermot Hayes & Wendong Zhang & Wei Xie, 2021. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1082-1098, May.
    16. Čechura, Lukáš & Žáková Kroupová, Zdeňka & Kostlivý, Vladimír & Lekešová, Michaela, 2021. "Productivity and Efficiency of Precision Farming: The Case of Czech Cereal Production," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    17. Cima, Elizabeth Giron & da Rocha-Junior, Weimar Freire & Dalposso, Gustavo Henrique & Uribe-Opazo, Miguel Angel & Becker, Willyan Ronaldo, 2021. "Forecasting Grain Production and Static Capacity of Warehouses Using the Natural Neighbor and Multiquadric Equations," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    18. Konstantinos Giannakas & K. Tran & Vangelis Tzouvelekas, 1999. "On the Choice of Functional Form in Stochastic Frontiers Models: A Box-Cox Approach," Working Papers 9915, University of Crete, Department of Economics.
    19. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-18.
    20. Zhong, Shen & Li, Junwei & Chen, Xi & Wen, Hongmei, 2022. "A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).

    More about this item

    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:plo:pone00:0116085. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.