IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2021-01-14.html
   My bibliography  Save this article

Assessing the Relative Efficiency for Listed Manufacturing Firms in Jordan Using Data Envelopment Analysis

Author

Listed:
  • Lamees Al-Durgham

    (Department of Industrial Engineering, School of Engineering, University of Jordan, Jordan)

  • Mohammad Adeinat

    (Department of Business Economics, School of Business, University of Jordan, Jordan.)

Abstract

The purpose of this study is to measure and compare the efficiencies for 35 manufacturing firms listed in Amman Stock exchange (ASE) in Jordan over the period 2009-2017. A panel data was collected for the firms over the nine years, the data was collected from the annual reports of the firms. The Data Envelopment Analysis (DEA) was used to measure an average efficiency score for each firm, the DEA was also used to find a panel data for efficiency scores, since the data was available for a short period of nine years the bootstrap technique was used to estimate a confidence interval for the efficiency score for each firm. The linear transformation form of Cobb- Douglas production function with two inputs (capital and labor) and one output (production) was used in DEA. The study revealed that among the 35 firms only 4 firms were efficient, and the rank for the firms efficiency were also obtained.

Suggested Citation

  • Lamees Al-Durgham & Mohammad Adeinat, 2021. "Assessing the Relative Efficiency for Listed Manufacturing Firms in Jordan Using Data Envelopment Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 135-139.
    • Handle: RePEc:eco:journ1:2021-01-14
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijefi/article/download/10919/pdf
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijefi/article/view/10919/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lamees Al-Durgham & Mohammad Adeinat, 2020. "Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 5-9.
    2. Teerawat Charoenrat & Charles Harvie, 2017. "The Performance of Thai Manufacturing SMEs: Data Envelopment Analysis (DEA) Approach," Global Business Review, International Management Institute, vol. 18(5), pages 1178-1198, October.
    3. Jati Sengupta, 1998. "Stochastic data envelopment analysis: a new approach," Applied Economics Letters, Taylor & Francis Journals, vol. 5(5), pages 287-290.
    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. Musleh-ud Din & Ejaz Ghani & Tariq Mahmood, 2007. "Technical Efficiency of Pakistan s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(1), pages 1-18.
    6. Yong-bae Ji & Choonjoo Lee, 2010. "Data envelopment analysis," Stata Journal, StataCorp LP, vol. 10(2), pages 267-280, June.
    7. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Abdulai Adams & Bedru Balana & Nicole Lefore, 2020. "Efficiency of Small-scale Irrigation Farmers in Northern Ghana: A Data Envelopment Analysis Approach," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(3), pages 332-352, August.
    10. Odeck, James, 2000. "Assessing the relative efficiency and productivity growth of vehicle inspection services: An application of DEA and Malmquist indices," European Journal of Operational Research, Elsevier, vol. 126(3), pages 501-514, November.
    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. Chae Hyun Im & Keun Tae Cho, 2021. "Comparing and Identifying Influential Factors of Technological Innovation Efficiency in Manufacturing and Service Industries Using DEA: A Study of SMEs in South Korea," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
    2. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    4. Wei, Wei & Han, Ying & Abedin, Mohammad Zoynul & Ma, Jingjing & Chai, Shanglei, 2023. "Empirical study on the technical efficiency and total factor productivity of power industry: Evidence from Chinese provinces," Energy Economics, Elsevier, vol. 128(C).
    5. Pillai N., Vijayamohanan, 2019. "Measuring Energy Efficiency: An Application of Data Envelopment Analysis to Power Sector in Kerala," MPRA Paper 101945, University Library of Munich, Germany.
    6. Shin, Donghee & Shin, Hyeun-Dae, 2020. "Demystifying university rankings and their impact on reputation among consumers of higher education," MPRA Paper 103782, University Library of Munich, Germany.
    7. Bresciani, Stefano & Puertas, Rosa & Ferraris, Alberto & Santoro, Gabriele, 2021. "Innovation, environmental sustainability and economic development: DEA-Bootstrap and multilevel analysis to compare two regions," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    8. Jaime Bonet-Morón & Jhorland Ayala-García, 2016. "La brecha fiscal territorial en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 235, Banco de la Republica de Colombia.
    9. Alvaro Almeida, 2024. "The trade-off between health system resiliency and efficiency: evidence from COVID-19 in European regions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 31-47, February.
    10. Li, Hong Xian & Li, Yan & Jiang, Boya & Zhang, Limao & Wu, Xianguo & Lin, Jingyi, 2020. "Energy performance optimisation of building envelope retrofit through integrated orthogonal arrays with data envelopment analysis," Renewable Energy, Elsevier, vol. 149(C), pages 1414-1423.
    11. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    12. Ikram Ullah Khan & Sadaqat Ali & Habib Nawaz Khan, 2018. "Market Concentration, Risk-taking, and Efficiency of Commercial Banks in Pakistan: An Application of the Two-Stage Double Bootstrap DEA," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 65-96, June.
    13. Viera Roháčová, 2015. "A DEA based approach for optimization of urban public transport system," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 215-233, March.
    14. Emrouznejad, Ali & De Witte, Kristof, 2010. "COOPER-framework: A unified process for non-parametric projects," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1573-1586, December.
    15. Shogo Eguchi & Hirotaka Takayabu & Mitsuki Kaneko & Shigemi Kagawa & Shunichi Hienuki, 2021. "Proposing effective strategies for meeting an environmental regulation with attainable technology improvement targets," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2907-2921, November.
    16. Ganji, Seyedreza Seyedalizadeh & Rassafi, Amir Abbas & Bandari, Samaneh Jamshidi, 2020. "Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    17. Odeck, James, 2006. "Identifying traffic safety best practice: an application of DEA and Malmquist indices," Omega, Elsevier, vol. 34(1), pages 28-40, January.
    18. Thomas Padberg & Thomas Werner, 2005. "Analyse der Mehrjahresentwicklung der Effizienz von Sparkassen unter Einsatz der Data Envelopment Analysis und des Malmquist-Index," Schmalenbach Journal of Business Research, Springer, vol. 57(3), pages 214-236, May.
    19. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
    20. Han, Xue & Frey, Gregory E. & Geng, Yude & Cubbage, Frederick W. & Zhang, Zhaohui, 2018. "Reform and efficiency of state-owned forest enterprises in Northeast China as “social firms”," Journal of Forest Economics, Elsevier, vol. 32(C), pages 18-33.

    More about this item

    Keywords

    Data envelopment analysis; efficiency; manufacturing firm; bootstrap technique; Cobb- Douglas.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    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:eco:journ1:2021-01-14. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.