Robustness analysis for imprecise additive value efficiency analysis with an application to evaluation of special economic zones in Poland

Anna Labijak-Kowalska; Miłosz Kadziński; Luis. C. Dias

doi:10.1016/j.seps.2024.101813

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Title

Robustness analysis for imprecise additive value efficiency analysis with an application to evaluation of special economic zones in Poland

Authors

Anna Labijak-Kowalska (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Miłosz Kadziński (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Luis. C. Dias

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Published in

Socio-Economic Planning Sciences

Journal year: 2024 | Journal volume: vol. 92

Article type

scientific article

Publication language

english

Keywords

EN

Value-based efficiency analysis
Robustness analysis
Imprecision
Special economic zone
Open-source software in R
Multiple criteria decision analysis

Abstract

EN We introduce an algorithmic framework for investigating the robustness of efficiency analysis results in the presence of imprecise information about data and preferences. We employ an additive value efficiency model accepting ordinal and interval information about the performances of Decision Making Units and imprecision in the specification of input and output weights and the shapes of marginal value functions. We verify the stability of efficiency measures using a combination of mathematical programming and Monte Carlo simulations. The results capture various certainty levels, emphasizing the necessary, possible, extreme, and expected outcomes and the distribution of outcomes in the space of feasible weights, performances, and marginal functions. The practical usefulness of the proposed framework is demonstrated in a real-world problem concerning the functioning of Special Economic Zones in Poland. We discuss results that increase the discrimination power, indicate overall good performances, and provide hints on the required improvements.

Date of online publication

07.01.2024

Pages (from - to)

101813-1 - 101813-15

DOI

10.1016/j.seps.2024.101813

URL

https://www.sciencedirect.com/science/article/abs/pii/S0038012124000120

Comments

Article Number: 101813

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100