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

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  • Sadeghi, Mehdi
  • Ameli, Ahmad

Abstract

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.

Suggested Citation

  • Sadeghi, Mehdi & Ameli, Ahmad, 2012. "An AHP decision making model for optimal allocation of energy subsidy among socio-economic subsectors in Iran," Energy Policy, Elsevier, vol. 45(C), pages 24-32.
  • Handle: RePEc:eee:enepol:v:45:y:2012:i:c:p:24-32
    DOI: 10.1016/j.enpol.2011.12.045
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    References listed on IDEAS

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    1. repec:ebl:ecbull:v:9:y:2007:i:4:p:1-7 is not listed on IDEAS
    2. Bohringer, Christoph, 1998. "The synthesis of bottom-up and top-down in energy policy modeling," Energy Economics, Elsevier, vol. 20(3), pages 233-248, June.
    3. Diego Angel-Urdinola & Quentin Wodon, 2007. "Do Utility Subsidies Reach the Poor? Framework and Evidence for Cape Verde, Sao Tome, and Rwanda," Economics Bulletin, AccessEcon, vol. 9(4), pages 1-7.
    4. Naqvi, Farzana, 1998. "A computable general equilibrium model of energy, economy and equity interactions in Pakistan," Energy Economics, Elsevier, vol. 20(4), pages 347-373, September.
    5. Budy Resosudarmo, 2002. "Indonesia's Clean Air Program," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 38(3), pages 343-365.
    6. Patrick T. Harker & Luis G. Vargas, 1987. "The Theory of Ratio Scale Estimation: Saaty's Analytic Hierarchy Process," Management Science, INFORMS, vol. 33(11), pages 1383-1403, November.
    7. Minghe Sun & Antonie Stam & Ralph E. Steuer, 1996. "Solving Multiple Objective Programming Problems Using Feed-Forward Artificial Neural Networks: The Interactive FFANN Procedure," Management Science, INFORMS, vol. 42(6), pages 835-849, June.
    8. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    9. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
    10. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    11. Felder, Stefan & Schleiniger, Reto, 2002. "National CO2 policy and externalities: some general equilibrium results for Switzerland," Energy Economics, Elsevier, vol. 24(5), pages 509-522, September.
    12. Amos Tversky & Itamar Simonson, 1993. "Context-Dependent Preferences," Management Science, INFORMS, vol. 39(10), pages 1179-1189, October.
    13. Garbaccio, Richard F. & Ho, Mun S. & Jorgenson, Dale W., 1999. "Controlling carbon emissions in China," Environment and Development Economics, Cambridge University Press, vol. 4(04), pages 493-518, October.
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    Cited by:

    1. Gonzalez, Asa O. & Karali, Berna & Wetzstein, Michael E., 2012. "A public policy aid for bioenergy investment: Case study of failed plants," Energy Policy, Elsevier, vol. 51(C), pages 465-473.
    2. Chanthawong, Anuman & Dhakal, Shobhakar, 2016. "Stakeholders' perceptions on challenges and opportunities for biodiesel and bioethanol policy development in Thailand," Energy Policy, Elsevier, vol. 91(C), pages 189-206.
    3. repec:eee:rensus:v:74:y:2017:i:c:p:1323-1335 is not listed on IDEAS

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