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Modelling undesirable outputs in eco-efficiency evaluation to paper mills along the Huai River based on Shannon DEA

  • Feng Yang*
  • , Yongjun Li
  • , Liang Liang
  • , Dexiang Wu
  • *Corresponding author for this work
  • University of Science and Technology of China

Research output: Contribution to journalArticlepeer-review

Abstract

There are a great number of DEA models proposed to deal with ecological efficiency problems with undesirable outputs. However, which model should be used in a specific scenario or how about the discriminability of a given DEA model is hard to decide in practice. This paper uses the ecological Shannon DEA procedure based upon the existing study to obtain an ecological comprehensive efficiency score for each decision units. The procedure is used to appraise the ecological evaluation to 32 paper mills along the Huai River in China. The results seem reasonable since they integrate the results of existing relevant DEA models, and calculate the importance degree of each model. The procedure can also be used to determine the pollutant emission quotas for those paper mills.

Original languageEnglish
Pages (from-to)36-47
Number of pages12
JournalInternational Journal of Environment and Sustainable Development
Volume10
Issue number1
DOIs
StatePublished - 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • DEA
  • Data envelopment analysis
  • Discriminability
  • Eco-efficiency
  • Shannon's entropy
  • Undesirable output

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