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Investigating the Reproducibility and Generality of the Pilot Environmental Performance Index (EPI 2006)

  • Tatiana TambouratzisEmail author
  • Angela Mathioudaki
  • Kyriaki Bardi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 866)

Abstract

The reproducibility and generality of the Pilot Environmental Performance Index (EPI) 2006 is investigated. Initially, the most accurate means of deriving the Pilot EPI 2006 scores and rankings of the countries which participated in the creation of the index from the various constructs of the Pilot EPI 2006 dataset is identified using a variety of traditional and computational intelligence tools. Use-all and leave-one-out cross-validation are subsequently employed for recreating the index values of the participating countries from the entire, as well as from parts only of the, dataset; parametric as well as non-parametric methodologies are used to this end, consequently establishing the accuracy with which the Pilot EPI 2006 scores and rankings of participating countries can be predicted from these relationships. The optimal means (combination of traditional and computational intelligence methodologies) of estimating the Pilot ESI 2006 scores and rankings of the participating countries is tested and verified; the results raise some questions concerning the reproducibility and generality of the Pilot EPI 2006.

Keywords

Environmental sustainability Participating country Country of interest Environmental performance index Construction Consistency Reproducibility Generality Polynomial approximation Computational intelligence General regression artificial neural networks 

List of Acronyms

(ANN)

Artificial neural network

(BO)

Broad objective

(COI)

Country of interest

(CV)

Cross-validation

(EPI)

Environmental performance index

(ES)

Environmental sustainability

(GRNN)

General regression artificial neural network

(PC)

Policy category

(PTD)

Proximity-to-target tata

(RD)

Raw data

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tatiana Tambouratzis
    • 1
    Email author
  • Angela Mathioudaki
    • 1
    • 2
  • Kyriaki Bardi
    • 1
  1. 1.Department of Industrial Management & TechnologyUniversity of PiraeusPiraeusGreece
  2. 2.Department of Electrical and Electronic EngineeringNational Technical University of AthensAthensGreece

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