IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej42-1-brau.html
   My bibliography  Save this article

Evaluating the Impact of Energy Poverty in a Multidimensional Setting

Author

Listed:
  • Erica Delugas and Rinaldo Brau

Abstract

We study the relationship between energy poverty and subjective well-being by combining objective and subjective indicators in a multidimensional energy poverty index (MEPI). Using the Italian release of the European Survey on Income and Living Conditions, we first assess the identification power of this index vis-à-vis standard 'affordability' indicators. Subsequently, we use the MEPI in a simultaneous bivariate ordered probit model accounting for the endogeneity between subjective well-being and energy poverty arising from considering subjective indicators. We find a clear additional role by the subjective indicator in the identification of the energy-poor and a relatively low overlapping degree between MEPI and affordability measures. Likewise, econometric estimations detect sizeable and statistically significant negative effects on life satisfaction as the severity level of the MEPI rises. In contrast, virtually no effects are found with affordability indicators. The impact is substantially smaller when the MEPI only considers the subset of objective indicators.

Suggested Citation

  • Erica Delugas and Rinaldo Brau, 2021. "Evaluating the Impact of Energy Poverty in a Multidimensional Setting," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 39-66.
  • Handle: RePEc:aen:journl:ej42-1-brau
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=3601
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Welsch, Heinz & Biermann, Philipp, 2016. "Measuring nuclear power plant externalities using life satisfaction data: A spatial analysis for Switzerland," Ecological Economics, Elsevier, vol. 126(C), pages 98-111.
    2. Kalb, Guyonne & van Ours, Jan C., 2014. "Reading to young children: A head-start in life?," Economics of Education Review, Elsevier, vol. 40(C), pages 1-24.
    3. Ada Ferrer‐i‐Carbonell & Bernard M.S. van Praag, 2002. "The subjective costs of health losses due to chronic diseases. An alternative model for monetary appraisal," Health Economics, John Wiley & Sons, Ltd., vol. 11(8), pages 709-722, December.
    4. 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.
    5. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
    6. Welsch, Heinz & Biermann, Philipp, 2014. "Fukushima and the preference for nuclear power in Europe: Evidence from subjective well-being data," Ecological Economics, Elsevier, vol. 108(C), pages 171-179.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Okorie, David Iheke & Lin, Boqiang, 2022. "Association of energy poverty and catastrophic health expenditure," Energy, Elsevier, vol. 253(C).
    2. Igawa, Moegi & Piao, Xiangdan & Managi, Shunsuke, 2022. "The impact of cooling energy needs on subjective well-being: Evidence from Japan," Ecological Economics, Elsevier, vol. 198(C).
    3. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    4. Laldjebaev, Murodbek & Hussain, Azmat, 2021. "Significance of context, metrics and datasets in assessment of multidimensional energy poverty: A case study of Tajikistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    5. Elizabeth Nsenkyire & Jacob Nunoo & Joshua Sebu & Richard Kwabena Nkrumah & Princella Amankwanor, 2024. "Multidimensional Energy Poverty in West Africa: Implication for Women’s Subjective Well-being and Cognitive Health," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(3), pages 859-880, June.
    6. Rossella Bardazzi & Luca Bortolotti & Maria Grazia Pazienza, 2024. "Are they Twins or Only Friends? The Redundancy and Complementarity of Energy Poverty Indicators in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 585-623, July.
    7. Elizabeth Nsenkyire & Jacob Nunoo & Joshua Sebu & Omowumi Iledare, 2023. "Household Multidimensional Energy Poverty: Impact on Health, Education, and Cognitive Skills of Children in Ghana," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 293-315, February.

    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. Heinz Welsch & Philipp Biermann, 2017. "Energy Affordability and Subjective Well-Being: Evidence for European Countries," The Energy Journal, , vol. 38(3), pages 159-176, May.
    2. Pérez Gelves, Jhon Jairo & Østergaard, Poul Alberg & Díaz Flórez, Guillermo Andrés, 2023. "Energy poverty assessment and the impact of Covid-19: An empirical analysis of Colombia," Energy Policy, Elsevier, vol. 181(C).
    3. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    4. Heinz Welsch, 2024. "Do National Well-Being Scores Capture Nations Ecological Resilience? Evidence for 124 Countries," Working Papers V-443-24, University of Oldenburg, Department of Economics, revised Jan 2024.
    5. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    6. Okushima, Shinichiro, 2021. "Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs," Ecological Economics, Elsevier, vol. 187(C).
    7. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    8. Welsch, Heinz, 2016. "Electricity Externalities, Siting, and the Energy Mix: A Survey," International Review of Environmental and Resource Economics, now publishers, vol. 10(1), pages 57-94, November.
    9. Kobus, Martyna & Kapera, Marek & Maasoumi, Esfandiar, 2024. "Gap in many dimensions: Application to gender," Labour Economics, Elsevier, vol. 89(C).
    10. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    11. Wim Groot & Henriëtte Brink & Bernard Praag, 2007. "The Compensating Income Variation of Social Capital," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 189-207, June.
    12. Ivanov, Boris & Pfeiffer, Friedhelm & Pohlan, Laura, 2020. "Do job creation schemes improve the social integration and well-being of the long-term unemployed?," Labour Economics, Elsevier, vol. 64(C).
    13. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    14. McDonald, Rebecca & Powdthavee, Nattavudh, 2018. "The Shadow Prices of Voluntary Caregiving: Using Panel Data of Well-Being to Estimate the Cost of Informal Care," IZA Discussion Papers 11545, Institute of Labor Economics (IZA).
    15. Joseph Siani, 2015. "A Multidimensional Analysis of Poverty using the Fuzzy Set Approach. Evidence from Cameroonian data," Economics Bulletin, AccessEcon, vol. 35(3), pages 2012-2025.
    16. Joachim Merz & Tim Rathjen, 2014. "Time And Income Poverty: An Interdependent Multidimensional Poverty Approach With German Time Use Diary Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(3), pages 450-479, September.
    17. Verity Watson & Chris Dibben & Matt Cox & Iain Atherton & Matt Sutton & Mandy Ryan, 2019. "Testing the Expert Based Weights Used in the UK’s Index of Multiple Deprivation (IMD) Against Three Preference-Based Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1055-1074, August.
    18. Koen Decancq, 2020. "Measuring cumulative deprivation and affluence based on the diagonal dependence diagram," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 103-117, August.
    19. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP – German Evidence," FFB-Discussionpaper 92, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    20. Ada Ferrer-i-Carbonell & Bernard Van Praag, 2003. "Income Satisfaction Inequality and its Causes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(2), pages 107-127, August.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    Statistics

    Access and download statistics

    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:aen:journl:ej42-1-brau. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.html .

    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.