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Empirical Surveys of Frontier Applications: A Meta-Review

Author

Listed:
  • Daraio, Cinzia

    (DIAG, Sapienza U of Rome)

  • Kerstens, Kristiaan

    (IESEG School of Management)

  • Nepomuceno, Thyago

    (Universidade Federal de Pernambuco and DIAG, Sapienza U of Rome)

  • Sickles, Robin C.

    (Rice U)

Abstract

This contribution is the first attempt to systematically review all empirical surveys that so far have been made available in the broad field of efficiency and productivity analysis using frontier estimation methodologies. We provide a systematic bibliometric review on the many empirical surveys in the field of efficiency and productivity analysis, the most relevant concepts, areas, overlaps and potentials to explore from its introduction to the most recent surveys. We combine the international ISIC taxonomy of economic activity with the JEL classification system to classify these empirical surveys and to identify the current gaps in the literature. This provides not only the most relevant/generic potential areas for applications (according to the UN's ISIC), but also the most relevant concepts that have been worked on in those applications (according to the JEL codes). We also provide some cluster analysis. This overview therefore provides an interesting guide for future work to develop the whole field.

Suggested Citation

  • 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.
    • Handle: RePEc:ecl:riceco:19-005
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    Cited by:

    1. Laura Carosi & Ana Camanho & Giovanna D’Inverno & Kristof Witte & Rossana Riccardi, 2020. "Preface to the special issue on performance measurement and efficiency analysis—theory and practice," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 409-412, December.
    2. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    3. Dariush Khezrimotlagh & Sepideh Kaffash, 2025. "Navigating Efficiency: Insights from One-Stage and Two-Stage DEA Modeling in the Airline Industry," Annals of Operations Research, Springer, vol. 351(2), pages 1451-1487, August.
    4. Khan, Ashraf & Goodell, John W. & Hassan, M. Kabir & Paltrinieri, Andrea, 2022. "A bibliometric review of finance bibliometric papers," Finance Research Letters, Elsevier, vol. 47(PA).
    5. Marcos Gonçalves Perroni & Claudimar Pereira da Veiga & Zhaohui Su & Fernando Maciel Ramos & Wesley Vieira da Silva, 2023. "Dynamic Equilibrium of Sustainable Ecosystem Variables: An Experiment," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    6. Sabri Boubaker & T.D.Q. Le & T. Ngo, 2023. "Managing Bank Performance under COVID-19: A Novel Inverse DEA Efficiency Approach," Post-Print hal-04435441, HAL.
    7. Thyago C. C. Nepomuceno & Ana Paula C. S. Costa, 2019. "Resource allocation with Time Series DEA applied to Brazilian Federal Saving banks," Economics Bulletin, AccessEcon, vol. 39(2), pages 1384-1392.
    8. Vladim'ir Hol'y & Tom'av{s} Evan, 2021. "The Role of a Nation's Culture in the Country's Governance: Stochastic Frontier Analysis," Papers 2102.05411, arXiv.org, revised Apr 2021.
    9. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    10. John D. Lamb & Kai-Hong Tee, 2024. "Using stochastic frontier analysis instead of data envelopment analysis in modelling investment performance," Annals of Operations Research, Springer, vol. 332(1), pages 891-907, January.
    11. Vladimír Holý & Tomáš Evan, 2022. "The role of a nation’s culture in the country’s governance: Stochastic frontier analysis," 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. 30(2), pages 507-520, June.
    12. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.
    13. Brzezicki Łukasz, 2025. "Origin and Evolution of Malmquist Productivity Index: Review of the Literature," Central European Economic Journal, Sciendo, vol. 12(59), pages 102-119.
    14. Thyago C. C. Nepomuceno & Cinzia Daraio & Ana Paula C. S. Costa, 2021. "Multicriteria Ranking for the Efficient and Effective Assessment of Police Departments," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    15. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).
    16. Xiaoqing Chen & Kristiaan Kerstens & Qingyuan Zhu, 2025. "Exploring horizontal mergers in Swedish district courts using technical and scale efficiency: rejecting convexity in favour of nonconvexity," Annals of Operations Research, Springer, vol. 351(2), pages 1319-1351, August.
    17. Thyago Celso Cavalcante Nepomuceno & Katarina Tatiana Marques Santiago & Cinzia Daraio & Ana Paula Cabral Seixas Costa, 2022. "Exogenous crimes and the assessment of public safety efficiency and effectiveness," Annals of Operations Research, Springer, vol. 316(2), pages 1349-1382, September.
    18. Wang, Zihan & Huang, Fubin & Liu, Jing & Shuai, Jing & Shuai, Chuanmin, 2020. "Does solar PV bring a sustainable future to the poor? -- an empirical study of anti-poverty policy effects on environmental sustainability in rural China," Energy Policy, Elsevier, vol. 145(C).

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