IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v116y2018icp153-164.html
   My bibliography  Save this article

A Stochastic Model for energy poverty analysis

Author

Listed:
  • Papada, Lefkothea
  • Kaliampakos, Dimitris

Abstract

So far, the lack of a common, effective way of measuring energy poverty has been detected as a major weakness in handling the energy poverty problem. One of the main causes has been the complexity of modeling the “required energy consumption” of households, as demanded by the official 10% indicator, and its replacement in calculations by the “actual energy consumption”, which, as is well known, underestimates the real needs of households. This weakness is addressed in this paper, through the development of the “Stochastic Model of Energy Poverty” (SMEP). The development of the model includes, firstly, the modeling of energy consumption at household level and, subsequently, the transition from household level to country level through stochastic analysis (Monte-Carlo simulation). Through Sensitivity Analysis, the impact of various parameters on energy poverty is quantified for the first time, by determining their weighting factors. Applied to the case of Greece, it is found that energy poverty reaches 70.4%, with income being the decisive factor affecting energy poverty at 63%, while other variables (Htot, etc.) follow at significantly lower percentages. The findings can be used in order to assess in advance the effectiveness of energy poverty measures, making the model a valuable policy tool.

Suggested Citation

  • Papada, Lefkothea & Kaliampakos, Dimitris, 2018. "A Stochastic Model for energy poverty analysis," Energy Policy, Elsevier, vol. 116(C), pages 153-164.
    • Handle: RePEc:eee:enepol:v:116:y:2018:i:c:p:153-164
    DOI: 10.1016/j.enpol.2018.02.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518300740
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2018.02.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Haas, Reinhard, 1997. "Energy efficiency indicators in the residential sector : What do we know and what has to be ensured?," Energy Policy, Elsevier, vol. 25(7-9), pages 789-802.
    2. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    3. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Fuel poverty in the UK: Is there a difference between rural and urban areas?," Energy Policy, Elsevier, vol. 87(C), pages 216-223.
    4. Liddell, Christine & Morris, Chris & McKenzie, S.J.P. & Rae, Gordon, 2012. "Measuring and monitoring fuel poverty in the UK: National and regional perspectives," Energy Policy, Elsevier, vol. 49(C), pages 27-32.
    5. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    6. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
    7. Katsoulakos, Nikolas M. & Kaliampakos, Dimitris C., 2016. "Mountainous areas and decentralized energy planning: Insights from Greece," Energy Policy, Elsevier, vol. 91(C), pages 174-188.
    8. Katsoulakos, Nikolas M. & Kaliampakos, Dimitris C., 2014. "What is the impact of altitude on energy demand? A step towards developing specialized energy policy for mountainous areas," Energy Policy, Elsevier, vol. 71(C), pages 130-138.
    9. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    10. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    11. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Developing the energy profile of mountainous areas," Energy, Elsevier, vol. 107(C), pages 205-214.
    12. Stefan Bouzarovski, 2014. "Energy poverty in the European Union: landscapes of vulnerability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(3), pages 276-289, May.
    13. Dubois, Ute, 2012. "From targeting to implementation: The role of identification of fuel poor households," Energy Policy, Elsevier, vol. 49(C), pages 107-115.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    2. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    3. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    4. Magdalena Cyrek & Piotr Cyrek, 2022. "Rural Specificity as a Factor Influencing Energy Poverty in European Union Countries," Energies, MDPI, vol. 15(15), pages 1-24, July.
    5. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    6. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    7. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.
    8. Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
    9. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).
    10. Chiara Grazini, 2023. "La poverta' energetica come privazione delle capacita' (Energy poverty as capabilities deprivation)," Moneta e Credito, Economia civile, vol. 76(301), pages 3-25.
    11. Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
    12. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    13. Ntaintasis, E. & Mirasgedis, S. & Tourkolias, C., 2019. "Comparing different methodological approaches for measuring energy poverty: Evidence from a survey in the region of Attika, Greece," Energy Policy, Elsevier, vol. 125(C), pages 160-169.
    14. Belaïd, Fateh, 2018. "Exposure and risk to fuel poverty in France: Examining the extent of the fuel precariousness and its salient determinants," Energy Policy, Elsevier, vol. 114(C), pages 189-200.
    15. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    16. Lefkothea Papada & Anastasios Balaskas & Nikolas Katsoulakos & Dimitris Kaliampakos & Dimitris Damigos, 2021. "Fighting Energy Poverty Using User-Driven Approaches in Mountainous Greece: Lessons Learnt from a Living Lab," Energies, MDPI, vol. 14(6), pages 1-17, March.
    17. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    18. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    19. Dorothée Charlier & Anna Risch & Claire Salmon, 2016. "Reducing the Energy Burden of the Poor and Greenhouse Gas Emissions: Can We Kill Two Birds with One Stone?," Policy Papers 2016.01, FAERE - French Association of Environmental and Resource Economists.
    20. Poruschi, Lavinia & Ambrey, Christopher L., 2018. "Densification, what does it mean for fuel poverty and energy justice? An empirical analysis," Energy Policy, Elsevier, vol. 117(C), pages 208-217.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:116:y:2018:i:c:p:153-164. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.