Institut for Forretningsudvikling og Teknologi

Kamran Rashidi

Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement: Energy Economics

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

  • K. Rashidi
  • R. Farzipoor Saen, Sohar University, Oman
Nowadays, majority of organizations are seeking to achieve sustainable development with respect to "green" concept. One of the main criteria for assessing green performance is eco-efficiency. To identify all aspects of the eco-efficiency, inputs should be divided into energy and non-energy and outputs should be divided into good and bad outputs. To deal with this issue, a data envelopment analysis (DEA) model is developed to divide inputs into both energy and non-energy and outputs into both desirable (good) and undesirable (bad) outputs. Likewise, variables are separated into both discretionary and non-discretionary factors. Accordingly, a bounded adjusted measure (BAM) based on green indicators is developed to calculate the eco-efficiency of decision making units (DMUs). Besides, energy saving potentials and undesirable output abatement potentials are calculated to show correlation coefficient between energy consumption and undesirable output. Finally, proposed model is validated by assessing the eco-efficiency of some selected members of organization for economic cooperation and development (OECD). Australia, Finland, Ireland, New Zealand, and Switzerland are recognized as eco-efficient countries and the rest of countries are inefficient in terms of the eco-efficiency. High and positive Spearman correlation coefficient between energy consumption and undesirable outputs addresses that the more use of energy inputs, the more undesirable outputs. © 2015 Elsevier B.V..
OriginalsprogEngelsk
TidsskriftEnergy Economics
Vol/bind50
Sider (fra-til)18-26
Antal sider9
ISSN0140-9883
DOI
StatusUdgivet - 2015
Eksternt udgivetJa

Se relationer på Aarhus Universitet Citationsformater

ID: 177601310