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A nonparametric approach for evaluating long-term energy policy scenarios: an application to the Greek energy system

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  • George Halkos
  • Nickolaos Tzeremes
  • Panayiotis Tzeremes

Abstract

This paper by using Long-range Energy Alternatives Planning System (LEAP) constructs four different renewable energy scenarios for the Greek transport, energy, and industry sectors. By projecting the demand for renewable energy and the associated resulting carbon dioxide emissions up to the years 2020 and 2030, the paper applies in a second stage data envelopment analysis (DEA) evaluating the Greek renewable energy policy. As a result, it provides a quantitative measure for future renewable energy policy evaluation under different renewable energy consumption scenarios. The results reveal that the main challenge for the Greek policy makers will be the energy policies associated with the renewable energy usage of the Greek industry since they are rigid toward the adoption of technologies utilizing renewable energy sources. It appears that under the four different energy policy scenarios, the Greek industry sector will not be able to meet its renewable energy targets set by the Greek government. Finally, the analysis reveals that the renewable energy targets set for 2020 and 2030 can be met for the energy sector. However, the renewable energy targets set for the transport sector can only be met for the year 2030. JEL classifications: C60; Q47; Q53; Q58 Copyright Halkos et al. 2015

Suggested Citation

  • George Halkos & Nickolaos Tzeremes & Panayiotis Tzeremes, 2015. "A nonparametric approach for evaluating long-term energy policy scenarios: an application to the Greek energy system," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    • Handle: RePEc:spr:jecstr:v:4:y:2015:i:1:p:1-14:10.1186/s40008-015-0011-x
    DOI: 10.1186/s40008-015-0011-x
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    Cited by:

    1. Fang, Zhen, 2023. "Assessing the impact of renewable energy investment, green technology innovation, and industrialization on sustainable development: A case study of China," Renewable Energy, Elsevier, vol. 205(C), pages 772-782.
    2. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo & Managi, Shunsuke, 2019. "Energy transition, poverty and inequality in Vietnam," Energy Policy, Elsevier, vol. 132(C), pages 536-548.
    3. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo, 2019. "Energy transition, poverty and inequality: panel evidence from Vietnam," MPRA Paper 107182, University Library of Munich, Germany, revised 10 May 2019.
    4. Wambui, Valentine & Njoka, Francis & Muguthu, Joseph & Ndwali, Patrick, 2022. "Scenario analysis of electricity pathways in Kenya using Low Emissions Analysis Platform and the Next Energy Modeling system for optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. Azrudin Husika & Nurin Zecevic & Ilham Numic & Ejub Dzaferovic, 2022. "Scenario Analysis of a Coal Reduction Share in the Power Generation in Bosnia and Herzegovina until 2050," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    6. Halkos, George & Tzeremes, Panagiotis, 2015. "Assessing greenhouse gas emissions in Estonia's energy system," MPRA Paper 66105, University Library of Munich, Germany.
    7. Feeny, Simon & Trinh, Trong-Anh & Zhu, Anna, 2021. "Temperature shocks and energy poverty: Findings from Vietnam," Energy Economics, Elsevier, vol. 99(C).
    8. Halkos, George & Tzeremes, Panagiotis, 2015. "Scenario analysis on greenhouse gas emissions reduction in Southeast Balkans' energy system," MPRA Paper 65280, University Library of Munich, Germany.

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    More about this item

    Keywords

    Climate change; Renewable energy sources; Greek energy system; Linear programming; Nonparametric analysis;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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