IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2021i1p16-23.html
   My bibliography  Save this article

Public Services Management Efficiency from the Perspective of the Adaptability Degree in the Field of Public Utilities

Author

Listed:
  • Tincuta VRABIE GUDANA

    (Dunarea de Jos University of Galati, Romania)

  • Angela-Eliza MICU

    (Ovidius University of Constanta, Romania)

Abstract

The present research proposes an analysis of the efficiency of public waste management services, considering the determination of the technical and allocative efficiency of some administrative units in the county of Galați, with responsibilities in this respect. The empirical analysis presupposed the collection of a relevant data set from 2018 in point of: number of households, collection ratio, fee/inhabitant/month, surface and average waste amount generated per year (tons). Considering the analysis at the level of 2018 has the argument the fact that 2018 was the final year when the management of the waste services was the responsibility of the local public administration, as in 2019 the transfer of inventory and competence regarding the waste management service was made from the administrative units to the association of Waste Intercommunity Development Galați. In the present research we resorted to the Data Envelopment Analysis, the CCR model oriented towards input data, as it represents a robust tool for the comparative analysis technique. The results of this analysis are relevant, as it confers municipalities a support to evaluate the efficiency of waste collection programs at the level of each administrative unit under analysis, so that to generate solutions to increase the efficiency of waste collection systems.

Suggested Citation

  • Tincuta VRABIE GUDANA & Angela-Eliza MICU, 2021. "Public Services Management Efficiency from the Perspective of the Adaptability Degree in the Field of Public Utilities," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 16-23.
  • Handle: RePEc:ddj:fseeai:y:2021:i:1:p:16-23
    DOI: 10.35219/eai15840409162
    as

    Download full text from publisher

    File URL: http://www.eia.feaa.ugal.ro/images/eia/2021_1/Vrabie-Gudana_Micu.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.35219/eai15840409162?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. Ulrike Mandl & Adriaan Dierx & Fabienne Ilzkovitz, 2008. "The effectiveness and efficiency of public spending," European Economy - Economic Papers 2008 - 2015 301, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. 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.
    3. S P Santos & C A F Amado & J R Rosado, 2011. "Formative evaluation of electricity distribution utilities using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1298-1319, July.
    4. 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.
    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. 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.
    2. Claudio Detotto & Manuela Pulina & Juan Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 103-121, October.
    3. Anup Kumar Yadava & Yadawananda Neog, 2022. "Public Sector Performance and Efficiency Assessment of Indian States," Global Business Review, International Management Institute, vol. 23(2), pages 493-511, April.
    4. Eun Hak Lee & Hosuk Shin & Shin-Hyung Cho & Seung-Young Kho & Dong-Kyu Kim, 2019. "Evaluating the Efficiency of Transit-Oriented Development Using Network Slacks-Based Data Envelopment Analysis," Energies, MDPI, vol. 12(19), pages 1-15, September.
    5. Azar Dufrechou, Paola, 2016. "The efficiency of public education spending in Latin America: A comparison to high-income countries," International Journal of Educational Development, Elsevier, vol. 49(C), pages 188-203.
    6. Ikram, Majid & Rafique, Muhammad Zahid & Mohammed, Kamel Si & Waheed, Rida & Ferraz, Diogo, 2023. "Efficient resource utilization of the electricity distribution sector using nonparametric data envelopment analysis and influential factors," Utilities Policy, Elsevier, vol. 82(C).
    7. Manuel Xavier, José & Ferreira Moutinho, Victor & Carrizo Moreira, António, 2015. "An empirical examination of performance in the clothing retailing industry: A case study," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 96-105.
    8. Patyal, Vishal Singh & Kumar, Ravi & Lamba, Kuldeep & Maheshwari, Sunil, 2023. "Performance evaluation of Indian electricity distribution companies: An integrated DEA-IRP-TOPSIS approach," Energy Economics, Elsevier, vol. 124(C).
    9. Podinovski, Victor V. & Bouzdine-Chameeva, Tatiana, 2016. "On single-stage DEA models with weight restrictions," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1044-1050.
    10. Amado, Carla A.F. & Santos, Sérgio P. & Sequeira, João F.C., 2013. "Using Data Envelopment Analysis to support the design of process improvement interventions in electricity distribution," European Journal of Operational Research, Elsevier, vol. 228(1), pages 226-235.
    11. Dobdinga Fonchamnyo & Molem Sama, 2016. "Determinants of public spending efficiency in education and health: evidence from selected CEMAC countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 199-210, January.
    12. Podinovski, Victor V. & Bouzdine-Chameeva, Tatiana, 2015. "Consistent weight restrictions in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 244(1), pages 201-209.
    13. Gouveia, M.C. & Dias, L.C. & Antunes, C.H. & Boucinha, J. & Inácio, C.F., 2015. "Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method," Omega, Elsevier, vol. 53(C), pages 104-114.
    14. Sudhir Mahadeo Bobde & Makoto Tanaka, 2020. "Structural Reforms and Technical Efficiency in the Indian Electricity Distribution Sector," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-36, March.
    15. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    16. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    17. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    18. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    19. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    20. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.

    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:ddj:fseeai:y:2021:i:1:p:16-23. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.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.