IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i11p281-d1279832.html
   My bibliography  Save this article

A Longitudinal Analysis of Economic Activities’ Relative Efficiency Using the DEA Approach

Author

Listed:
  • Robert Zenzerović

    (Faculty of Economics and Tourism “Dr. Mijo Mirković”, Juraj Dobrila University of Pula, Preradovićeva 1/1, 52100 Pula, Croatia)

  • Danijela Rabar

    (Faculty of Economics and Tourism “Dr. Mijo Mirković”, Juraj Dobrila University of Pula, Preradovićeva 1/1, 52100 Pula, Croatia)

  • Ksenija Černe

    (Faculty of Economics and Tourism “Dr. Mijo Mirković”, Juraj Dobrila University of Pula, Preradovićeva 1/1, 52100 Pula, Croatia)

Abstract

Economic activities’ efficiency represents the level of performance that uses the lowest quantity of inputs to achieve the highest possible amount of output. This paper presents the process of calculating the relative efficiency of separate non-financial activities in an economy using the DEA methodology. The purpose of this paper was to create the DEA model for monitoring the relative efficiency of individual non-financial activities of the economy. The purpose was achieved through the realization of two objectives. The first one included the determination of the relative efficiency of the above-mentioned activities in the period from 2002 to 2020 using the data from non-financial entities in the Republic of Croatia. The second objective consisted of ranking the economic activities according to their relative efficiency. An output variable that measures the efficiency was presented using the return on assets, while the total debt to EBITDA, EBITDA per employee, assets turnover and human capital efficiency were used as input variables. Research results indicate that the DEA methodology could be used as an economic activity’s relative efficiency measurement tool, giving the possibility to rank it according to its relative efficiency using the accounting ratios. Research results show that service sectors’ economic activities were the most efficient ones according to the lower assets engagement and the respective sources of financing that dominate. The highest average relative efficiency in 19 years was scored using wholesale, retail and repair activities as well as information, communication and education. The lowest average relative efficiency was achieved in construction, water supply, sewerage, waste management and remediation activities as well as accommodation and food service activities, which is the consequence of their low level of activity and profitability and high indebtedness in the analyzed period. The relative efficiency scores calculated using the DEA methodology could be used as a benchmark for companies on a micro level, while on the macro level decision-makers can obtain a deeper insight into the relative efficiency of the nonfinancial activities.

Suggested Citation

  • Robert Zenzerović & Danijela Rabar & Ksenija Černe, 2023. "A Longitudinal Analysis of Economic Activities’ Relative Efficiency Using the DEA Approach," Economies, MDPI, vol. 11(11), pages 1-14, November.
  • Handle: RePEc:gam:jecomi:v:11:y:2023:i:11:p:281-:d:1279832
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/11/11/281/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/11/11/281/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Avilés-Sacoto, Estefanía Caridad & Avilés-Sacoto, Sonia Valeria & Güemes-Castorena, David & Cook, Wade D., 2021. "Environmental performance evaluation: A state-level DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    2. Ngoc Phu Tran & Duc Hong Vo, 2020. "Human capital efficiency and firm performance across sectors in an emerging market," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1738832-173, January.
    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. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    2. Panduru Dan Andrei & Simion Petronela Cristina & Ioanid Alexandra, 2024. "Measuring Operational Efficiency: A Functional Analysis of Core and Non-Core Activities in a Leading Romanian Oil and Gas Retail Company," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 1335-1347.
    3. Mahmoud Lari Dashtbayaz & Amjed Hameed Mezher & Khalid Haitham Khalid Albadr & Bashaer Khudhair Abbas Alkafaji, 2023. "The Relationship between Intellectual Capital and Audit Fees," JRFM, MDPI, vol. 16(2), pages 1-28, February.
    4. Barra, Cristian & Falcone, Pasquale Marcello, 2024. "Environmental performance of countries. Examining the effect of diverse institutional factors in a metafrontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    5. Lawrence Arokiasamy & Takemi Fujikawa & Shishi Kumar Piaralal & Thilageswary Arumugam, 2023. "A systematic review of literature on Human capital investment and its significance for human resource development," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1810-1826, October.
    6. AlQershi, Nagwan & Saufi, Roselina Binti Ahmad & Ismail, Noor Azizi & Mohamad, Mohd Rosli Bin & Ramayah, T. & Muhammad, Nik Maheran Nik & Yusoff, Mohd Nor Hakimin Bin, 2023. "The moderating role of market turbulence beyond the Covid-19 pandemic and Russia-Ukraine crisis on the relationship between intellectual capital and business sustainability," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    7. Monika Barak & Rakesh Kumar Sharma, 2024. "Does intellectual capital impact the financial performance of Indian public sector banks? An empirical analysis using GMM," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    8. Omrani, Hashem & Emrouznejad, Ali & Shamsi, Meisam & Fahimi, Pegah, 2022. "Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    9. Amirteimoori, Alireza & Cezar, Asunur & Zadmirzaei, Majid & Susaeta, Andres, 2024. "Environmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    10. Salem Gheit, 2022. "A Stochastic Frontier Analysis of the Human Capital Effects on the Manufacturing Industries’ Technical Efficiency in the United States," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 8(3), pages 215-238, July.
    11. Adamu Jibir & Musa Abdu & Abdullahi Buba, 2023. "Does Human Capital Influence Labor Productivity? Evidence from Nigerian Manufacturing and Service Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 805-830, June.
    12. Seema Miglani & Victoria Obeng, 2023. "Gender Diversity and Human Capital Efficiency in Australian Institutions: The Moderating Role of Workforce Environment Quality," JRFM, MDPI, vol. 16(7), pages 1-26, July.
    13. Ass. Prof ORBUNDE Benshima & Ass. Prof ARUMONA Jonah & AKINTOYE Olufemi Temidayo, 2023. "Intangible Asset Investment and Business Sustainability of Deposit Money Banks in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(5), pages 1792-1812, May.
    14. Benomar Ikram & Ababou Mariame, 2024. "Green Growth or Economic Gain? Assessing Environmental Efficiency Using Data Envelopment Analysis: Case of Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 426-433, July.

    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:gam:jecomi:v:11:y:2023:i:11:p:281-:d:1279832. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.