IDEAS home Printed from https://ideas.repec.org/a/adx/journl/v2y2020i1p37-42.html
   My bibliography  Save this article

Technical Efficiency and Its Determinants in Wheat Production: Evidence from Punjab, Pakistan

Author

Listed:
  • Maryam Nawaz
  • Shoaib Akhtar
  • Adnan Nazir
  • Muhammad Faisal

Abstract

The purpose of the current study was to assess the allocative, technical, and economic efficiency of wheat crop produced in Punjab. Primary data were collected through a well-structured questionnaire. The economic efficiencies were estimated by the DEA technique using the farm level data gathered from 240 wheat growers of the Rajanpur district of Punjab, Pakistan. According to the results of the study the estimated efficiencies results show that the mean technical efficiency of the wheat crop is about 70%, the mean allocative efficiency is 74%, and the mean cost efficiency is 52%. The findings revealed that Pakistani wheat farms could minimize production costs by up to 30% to ensure the same level of production, using resources in optimal proportions and increasing technical efficiency. The findings also reveal that the current level of wheat production can be amplified by up to 30% by mollifying the technical efficiency of wheat crop.

Suggested Citation

  • Maryam Nawaz & Shoaib Akhtar & Adnan Nazir & Muhammad Faisal, 2020. "Technical Efficiency and Its Determinants in Wheat Production: Evidence from Punjab, Pakistan," Journal of Economic Impact, Science Impact Publishers, vol. 2(1), pages 37-42.
  • Handle: RePEc:adx:journl:v:2:y:2020:i:1:p:37-42
    as

    Download full text from publisher

    File URL: http://scienceimpactpub.com/Docs/jei202020.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barkley, Andrew P. & Peterson, Hikaru Hanawa & Shroyer, James, 2010. "Wheat Variety Selection to Maximize Returns and Minimize Risk: An Application of Portfolio Theory," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(1), pages 1-17, February.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    3. Gorton, Matthew & Davidova, Sophia, 2004. "Farm productivity and efficiency in the CEE applicant countries: a synthesis of results," Agricultural Economics, Blackwell, vol. 30(1), pages 1-16, January.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    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. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    2. Blasejczyk-Majka, Lucyna & Kala, Radoslaw & Maciejewski, Krzysztof, 2011. "Do Field Crop Farms and Mixed Farms of Old and New EU Members Improve Productivity at the Same Rate? A Regional Level Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114254, European Association of Agricultural Economists.
    3. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    4. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    5. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    6. Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
    7. Chia -Yen Lee & Andrew L. Johnson, 2015. "Measuring Efficiency in Imperfectly Competitive Markets: An Example of Rational Inefficiency," Journal of Optimization Theory and Applications, Springer, vol. 164(2), pages 702-722, February.
    8. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    9. Laurens Cherchye & Bram De Rock & Bart Dierynck & Filip Roodhooft & Jeroen Sabbe, 2013. "Opening the “Black Box” of Efficiency Measurement: Input Allocation in Multioutput Settings," Operations Research, INFORMS, vol. 61(5), pages 1148-1165, October.
    10. Cherchye, Laurens & De Rock, Bram & Hennebel, Veerle, 2014. "The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 29-37.
    11. Cherchye, Laurens & De Rock, Bram & Walheer, Barnabé, 2016. "Multi-output profit efficiency and directional distance functions," Omega, Elsevier, vol. 61(C), pages 100-109.
    12. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    13. Błażejczyk-Majka Lucyna, 2017. "Application of DEA for Evaluating the Efficiency of Economic Policy as Exemplified by EU Agriculture," Studia Historiae Oeconomicae, Sciendo, vol. 35(1), pages 163-176, December.
    14. Thilakaweera, Bolanda Hewa & Harvie, Charles & Arjomandi, Amir, 2016. "Branch expansion and banking efficiency in Sri Lanka’s post‐conflict era," Journal of Asian Economics, Elsevier, vol. 47(C), pages 45-57.
    15. Krüger, Jens J., 2012. "A Monte Carlo study of old and new frontier methods for efficiency measurement," European Journal of Operational Research, Elsevier, vol. 222(1), pages 137-148.
    16. Walheer, Barnabé, 2018. "Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs," Omega, Elsevier, vol. 75(C), pages 1-12.
    17. Lucyna Błażejczyk-Majka & Radosław Kala & Krzysztof Maciejewski, 2012. "Productivity and efficiency of large and small field crop farms and mixed farms of the old and new EU regions," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(2), pages 61-71.
    18. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    19. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    20. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.

    More about this item

    Keywords

    Technical efficiency; determinants; wheat production; DAE; Punjab;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

    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:adx:journl:v:2:y:2020:i:1:p:37-42. 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: Iqbal Javed (email available below). General contact details of provider: https://www.scienceimpactpub.com/journals/index.php .

    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.