Published June 2012 | Version v1
Journal article

An AHP decision making model for optimal allocation of energy subsidy among socio-economic subsectors in Iran

  • 1. Department of Economics, Imam Sadiq University, Chamran High Way, P.B. 14655-159, Tehran (Iran, Islamic Republic of)
  • 2. School of Economic Sciences, Tehran (Iran, Islamic Republic of)

Description

This paper presents an analytical hierarchy process (AHP) decision model for sectoral allocation of energy subsidy based on several criteria. With determination of priorities for these criteria through questionnaire and AHP method, the overall rank of these criteria that have the most influence on distribution of energy subsidy among socio-economic sub-sectors, are as the following: inflation, economic growth, labor intensity, distribution of energy subsidy among socio-economic levels, energy intensity and social cost of air pollution. According to the model, the first priority for allocation of energy subsidy is commercial sector and the last priority is related to transportation sector. Investigating the impact of changing priority of the criteria on overall results indicates that the socio-economic sub sectors' ranking in receiving subsidy have little sensitivity for changing priority of the subsidy criteria. - Highlights: ► Commerce subsector is the best sub sector with an overall priority score of 0.331. ► The first priority for allocation of energy subsidy is commercial sector. ► When we increase the priority of each criterion first time, then overall rank of the outcome has little changing. ► The socio-economic sub sectors' ranking in receiving subsidy have little sensitivity for changing priority of the subsidy criteria.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2011.12.045

Additional details

Identifiers

DOI
10.1016/j.enpol.2011.12.045;
PII
S0301-4215(11)01051-2;

Publishing Information

Journal Title
Energy Policy
Journal Volume
45
Journal Page Range
p. 24-32
ISSN
0301-4215
CODEN
ENPYAC

INIS

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.