IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v286y2020i1d10.1007_s10479-018-3105-7.html
   My bibliography  Save this article

Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression

Author

Listed:
  • Murilo Wohlgemuth

    (Federal University of Santa Catarina (UFSC))

  • Carlos Ernani Fries

    (Federal University of Santa Catarina (UFSC))

  • Ângelo Márcio Oliveira Sant’Anna

    (Federal University of Bahia (UFBA))

  • Ricardo Giglio

    (Federal University of Santa Catarina (UFSC))

  • Diego Castro Fettermann

    (Federal University of Santa Catarina (UFSC))

Abstract

In the past two decades logistics services providers have increased their sector participation due to growing outsourcing of these services. In current scenario, logistics operators typically offer service packages that include not only transport itself but also other services in supply chain and transport’s service associated information. This work objective is to identify logistics services packages offered from logistics operators that lead to technical efficiency of operations observed in sector. For this analysis, the Data Envelopment Analysis (DEA) in two stages methodology was applied, where the first stage consists in the use of DEA models to obtain relative efficiency scores and the second stage consists in the use of one beta inflated regression to analyze the relationship between the technical efficiency scores obtained and the offered services. This study was made with secondary data base available on a logistics’ sector specialized magazine, for the period 2007–2015. Results show that a relationship between the offer of logistics service packages and logistics service providers’ technical efficiency exists. Different for each cluster, the statistically significant service packages vary as the magnitude of contribution on the efficiency measure. Most packages lead to negative contribution on the efficiency, while a few showed positive contributions.

Suggested Citation

  • Murilo Wohlgemuth & Carlos Ernani Fries & Ângelo Márcio Oliveira Sant’Anna & Ricardo Giglio & Diego Castro Fettermann, 2020. "Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression," Annals of Operations Research, Springer, vol. 286(1), pages 703-717, March.
    • Handle: RePEc:spr:annopr:v:286:y:2020:i:1:d:10.1007_s10479-018-3105-7
    DOI: 10.1007/s10479-018-3105-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-018-3105-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-018-3105-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aguezzoul, Aicha, 2014. "Third-party logistics selection problem: A literature review on criteria and methods," Omega, Elsevier, vol. 49(C), pages 69-78.
    2. Lai, Kee-hung, 2004. "Service capability and performance of logistics service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(5), pages 385-399, September.
    3. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    4. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    5. Jie Wu & Zhixiang Zhou, 2015. "A mixed-objective integer DEA model," Annals of Operations Research, Springer, vol. 228(1), pages 81-95, May.
    6. Raydonal Ospina & Silvia Ferrari, 2010. "Inflated beta distributions," Statistical Papers, Springer, vol. 51(1), pages 111-126, January.
    7. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
    8. 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.
    9. Wade D. Cook & Joe Zhu, 2007. "Data Irregularities And Structural Complexities In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 1-11, Springer.
    10. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    11. Yang, Qian & Zhao, Xiande & Yeung, Hoi Yan Jeff & Liu, Yanping, 2016. "Improving logistics outsourcing performance through transactional and relational mechanisms under transaction uncertainties: Evidence from China," International Journal of Production Economics, Elsevier, vol. 175(C), pages 12-23.
    12. Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.
    13. Ioannis Dokas & Dimitris Giokas & Anastasios Tsamis, 2014. "Liquidity Efficiency in the Greek Listed Firms: A Financial Ratio Based on Data Envelopment Analysis," International Journal of Corporate Finance and Accounting (IJCFA), IGI Global, vol. 1(1), pages 40-59, January.
    14. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    15. 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.
    16. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    17. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    18. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    19. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, 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. Luciano Ferreira Cruz & Flavia Bernardo Pinto & Lucas Camilotti & Angelo Marcio Oliveira Santanna & Roberto Zanetti Freire & Leandro Santos Coelho, 2022. "Improved multiobjective differential evolution with spherical pruning algorithm for optimizing 3D printing technology parametrization process," Annals of Operations Research, Springer, vol. 319(2), pages 1565-1587, December.

    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. Berger, Michael & Sommersguter-Reichmann, Margit & Czypionka, Thomas, 2020. "Determinants of soft budget constraints: how public debt affects hospital performance in Austria," LSE Research Online Documents on Economics 116865, London School of Economics and Political Science, LSE Library.
    2. Berger, Michael & Sommersguter-Reichmann, Margit & Czypionka, Thomas, 2020. "Determinants of soft budget constraints: How public debt affects hospital performance in Austria," Social Science & Medicine, Elsevier, vol. 249(C).
    3. Lee, Boon L. & Wilson, Clevo & Simshauser, Paul & Majiwa, Eucabeth, 2021. "Deregulation, efficiency and policy determination: An analysis of Australia's electricity distribution sector," Energy Economics, Elsevier, vol. 98(C).
    4. Vincenzo Patrizii & Anna Pettini & Giuliano Resce, 2017. "The Cost of Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 985-1010, September.
    5. José Cordero Ferrera & Eva Cebada & Luis Murillo Zamorano, 2014. "The effect of quality and socio-demographic variables on efficiency measures in primary health care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(3), pages 289-302, April.
    6. Daniel Santín & Gabriela Sicilia, 2015. "Measuring the efficiency of public schools in Uruguay: main drivers and policy implications," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-28, December.
    7. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
    8. 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).
    9. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    10. António J. R. Santos & Sérgio P. Santos & Carla A. F. Amado & Efigénio L. Rebelo & Júlio C. Mendes, 2020. "Labor inspectorates’ efficiency and effectiveness assessment as a learning path to improve work-related accident prevention," Annals of Operations Research, Springer, vol. 288(2), pages 609-651, May.
    11. Chaouk, Mohammed & Pagliari, Dr Romano & Moxon, Richard, 2020. "The impact of national macro-environment exogenous variables on airport efficiency," Journal of Air Transport Management, Elsevier, vol. 82(C).
    12. Rodrigues, Antonio Carlos & Martins, Ricardo Silveira & Wanke, Peter Fernandes & Siegler, Janaina, 2018. "Efficiency of specialized 3PL providers in an emerging economy," International Journal of Production Economics, Elsevier, vol. 205(C), pages 163-178.
    13. da Silva, Aline Veronese & Costa, Marcelo Azevedo & Ahn, Heinz & Lopes, Ana Lúcia Miranda, 2019. "Performance benchmarking models for electricity transmission regulation: Caveats concerning the Brazilian case," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    14. Weekx, Simon & Buyle, Sven, 2023. "The effect of airline dominance on airport performance: Empirical evidence from medium-sized European airports," Journal of Air Transport Management, Elsevier, vol. 107(C).
    15. Mario Fortin & André Leclerc, 2011. "L’Efficience Des Cooperatives De Services Financiers: Une Analyse De La Contribution Du Milieu," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 82(1), pages 45-62, March.
    16. Eugenia Nissi & Massimiliano Giacalone & Carlo Cusatelli, 2019. "The Efficiency of the Italian Judicial System: A Two Stage Data Envelopment Analysis Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 395-407, November.
    17. Veronese da Silva, Aline & Costa, Marcelo Azevedo & Lopes-Ahn, Ana Lúcia, 2022. "Accounting multiple environmental variables in DEA energy transmission benchmarking modelling: The 2019 Brazilian case," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    18. Salas-Velasco, Manuel, 2018. "Production efficiency measurement and its determinants across OECD countries: The role of business sophistication and innovation," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 60-73.
    19. Alexandre de Cássio Rodrigues & Carlos Alberto Gonçalves & Tiago Silveira Gontijo, 2019. "A two-stage DEA model to evaluate the efficiency of countries at the Rio 2016 Olympic Games," Economics Bulletin, AccessEcon, vol. 39(2), pages 1538-1545.
    20. Cosmin Eugen ENACHE, 2012. "The efficiency of expenditure-related redistributive policies in the European countries," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 5(18), pages 380-394.

    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:spr:annopr:v:286:y:2020:i:1:d:10.1007_s10479-018-3105-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.