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A scale elasticity measure for directional distance function and its dual: Theory and DEA estimation

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Cited by:

  1. Emir Malikov & Subal C. Kumbhakar & Mike G. Tsionas, 2016. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of us Banks in 2001–2010," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1407-1429, November.
  2. Valentin Zelenyuk, 2022. "Aggregation of Efficiency and Productivity: From Firm to Sector and Higher Levels," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 25, pages 1039-1079, Springer.
  3. Papaioannou, Grammatoula & Podinovski, Victor V., 2024. "A single-stage optimization procedure for data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1119-1128.
  4. Tomas Baležentis, 2015. "The Sources of the Total Factor Productivity Growth in Lithuanian Family Farms: A Färe-Primont Index Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(2), pages 225-241.
  5. Zelenyuk, Valentin, 2015. "Aggregation of scale efficiency," European Journal of Operational Research, Elsevier, vol. 240(1), pages 269-277.
  6. Simar, Léopold & Zelenyuk, Valentin, 2020. "Improving finite sample approximation by central limit theorems for estimates from Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1002-1015.
  7. Rogge, Nicky & Simper, Richard & Verschelde, Marijn & Hall, Maximilian, 2015. "An analysis of managerialism and performance in English and Welsh male prisons," European Journal of Operational Research, Elsevier, vol. 241(1), pages 224-235.
  8. Mehdiloo, Mahmood & Podinovski, Victor V., 2019. "Selective strong and weak disposability in efficiency analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1154-1169.
  9. Ole Bent Olesen & Niels Christian Petersen & Victor V. Podinovski, 2022. "Scale characteristics of variable returns-to-scale production technologies with ratio inputs and outputs," Annals of Operations Research, Springer, vol. 318(1), pages 383-423, November.
  10. Podinovski, Victor V., 2017. "Returns to scale in convex production technologies," European Journal of Operational Research, Elsevier, vol. 258(3), pages 970-982.
  11. Alireza Amirteimoori & Tofigh Allahviranloo & Aliasghar Arabmaldar, 2024. "Scale elasticity and technical efficiency measures in two-stage network production processes: an application to the insurance sector," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-21, December.
  12. Mahdi Mirjaberi & Reza Kazemi Matin, 2016. "On the Calculation of Directional Scale Elasticity in Data Envelopment Analysis," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(04), pages 1-17, August.
  13. Victor V. Podinovski & Ole Bent Olesen & Cláudia S. Sarrico, 2018. "Nonparametric Production Technologies with Multiple Component Processes," Operations Research, INFORMS, vol. 66(1), pages 282-300, January.
  14. Valentin Zelenyuk, 2014. "Scale efficiency and homotheticity: equivalence of primal and dual measures," Journal of Productivity Analysis, Springer, vol. 42(1), pages 15-24, August.
  15. Carvalho, Pedro & Marques, Rui Cunha, 2014. "Computing economies of vertical integration, economies of scope and economies of scale using partial frontier nonparametric methods," European Journal of Operational Research, Elsevier, vol. 234(1), pages 292-307.
  16. Sahoo, Biresh K. & Zhu, Joe & Tone, Kaoru & Klemen, Bernhard M., 2014. "Decomposing technical efficiency and scale elasticity in two-stage network DEA," European Journal of Operational Research, Elsevier, vol. 233(3), pages 584-594.
  17. Victor V. Podinovski & Robert G. Chambers & Kazim Baris Atici & Iryna D. Deineko, 2016. "Marginal Values and Returns to Scale for Nonparametric Production Frontiers," Operations Research, INFORMS, vol. 64(1), pages 236-250, February.
  18. Sahoo, Biresh K & Khoveyni, Mohammad & Eslami, Robabeh & Chaudhury, Pradipta, 2016. "Returns to scale and most productive scale size in DEA with negative data," European Journal of Operational Research, Elsevier, vol. 255(2), pages 545-558.
  19. Mahmood Mehdiloo & Victor V. Podinovski, 2024. "Data envelopment analysis with embedded inputs and outputs," Annals of Operations Research, Springer, vol. 335(1), pages 293-325, April.
  20. Victor V. Podinovski & Tatiana Bouzdine-Chameeva, 2021. "Optimal solutions of multiplier DEA models," Journal of Productivity Analysis, Springer, vol. 56(1), pages 45-68, August.
  21. Bert Balk & Rolf Färe & Giannis Karagiannis, 2015. "On directional scale elasticities," Journal of Productivity Analysis, Springer, vol. 43(1), pages 99-104, February.
  22. Valentin Zelenyuk, 2021. "Performance Analysis: Economic Foundations & Trends," CEPA Working Papers Series WP162021, School of Economics, University of Queensland, Australia.
  23. Zhichao Wang & Valentin Zelenyuk, 2024. "Data Envelopment Analysis: From Foundations to Modern Advancements," Foundations and Trends(R) in Econometrics, now publishers, vol. 13(3), pages 170-282, November.
  24. Valentin Zelenyuk, 2021. "Performance Analysis: Economic Foundations and Trends," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(3), pages 153-229, September.
  25. Panayiotis Tzeremes, 2020. "Productivity, efficiency and firm’s market value: Microeconomic evidence from multinational corporations," Bulletin of Applied Economics, Risk Market Journals, vol. 7(1), pages 95-105.
  26. Subhash C. Ray & Kankana Mukherjee & Anand Venkatesh, 2018. "Nonparametric measures of efficiency in the presence of undesirable outputs: a by-production approach," Empirical Economics, Springer, vol. 54(1), pages 31-65, February.
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