IDEAS home Printed from https://ideas.repec.org/p/enp/wpaper/eprg1823.html
   My bibliography  Save this paper

Objective vs. Subjective Fuel Poverty and Self-Assessed Health

Author

Listed:
  • Manuel Llorca

    (Durham University Business School, Durham University)

  • Ana Rodríguez-Álvarez

    (Oviedo Efficiency Group, Department of Economics, University of Oviedo, Spain)

  • Tooraj Jamasb

    (Durham University Business School, Durham University.)

Abstract

Policies towards fuel poverty often use relative or absolute measures. The effectiveness of the official indicators in identifying fuel poor households and assessing its impact on health is an emerging social policy issue. In this paper we analyse objective and perceived fuel poverty as determinants of self-assessed health in Spain. In 2014, 5.1 million of her population could not afford to heat their homes to an adequate temperature. We propose a latent class ordered probit model to analyse the influence of fuel poverty on self-reported health in a sample of 25,000 individuals in 11,000 households for the 2011-2014 period. This original approach allows us to include a ‘subjective’ measure of fuel poverty in the class membership probabilities and purge the influence of the ‘objective’ measure of fuel poverty on self-assessed health. The results show that poor housing conditions, fuel poverty, and material deprivation have a negative impact on health. Also, individuals who rate themselves as fuel poor tend to report poorer health status. The effect of objective fuel poverty on health is stronger when unobserved heterogeneity of individuals is controlled for. Since objective measures alone may not fully capture the adverse effect of fuel poverty on health, we advocate the use of approaches that allow a combination of objective and subjective measures and its application by policy-makers. Moreover, it is important that policies to tackle fuel poverty take into account the different energy vectors and the prospects of a future smart and integrated energy system.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Manuel Llorca & Ana Rodríguez-Álvarez & Tooraj Jamasb, 2018. "Objective vs. Subjective Fuel Poverty and Self-Assessed Health," Working Papers EPRG 1823, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  • Handle: RePEc:enp:wpaper:eprg1823
    as

    Download full text from publisher

    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1823.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Euan Phimister, Esperanza Vera-Toscano and Deborah Roberts, 2015. "The Dynamics of Energy Poverty: Evidence from Spain," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    2. Raffaele Miniaci & Carlo Scarpa & Paola Valbonesi, 2008. "Distributional Effects of Price Reforms in the Italian Utility Markets," Fiscal Studies, Institute for Fiscal Studies, vol. 29(1), pages 135-163, March.
    3. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Energy poverty in the UK: Is there a difference between rural and urban areas?," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204213, Agricultural Economics Society.
    4. Clinch, J. Peter & Healy, John D., 2001. "Cost-benefit analysis of domestic energy efficiency," Energy Policy, Elsevier, vol. 29(2), pages 113-124, January.
    5. Dorothee Charlier and Berangere Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    6. 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.
    7. Ormandy, David & Ezratty, Véronique, 2012. "Health and thermal comfort: From WHO guidance to housing strategies," Energy Policy, Elsevier, vol. 49(C), pages 116-121.
    8. Maciej Lis & Katarzyna Salach & Konstancja Swiecicka, 2016. "Heterogeneity of the fuel poor in Poland – quantification and policy implications," IBS Working Papers 08/2016, Instytut Badan Strukturalnych.
    9. Marcel Kerkhofs & Maarten Lindeboom, 1995. "Subjective health measures and state dependent reporting errors," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 221-235, May.
    10. Vilches, Alberto & Barrios Padura, Ángela & Molina Huelva, Marta, 2017. "Retrofitting of homes for people in fuel poverty: Approach based on household thermal comfort," Energy Policy, Elsevier, vol. 100(C), pages 283-291.
    11. Florian Fizaine & Sondès Kahouli, 2019. "On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population," Applied Economics, Taylor & Francis Journals, vol. 51(11), pages 1081-1110, March.
    12. Scarpellini, Sabina & Rivera-Torres, Pilar & Suárez-Perales, Inés & Aranda-Usón, Alfonso, 2015. "Analysis of energy poverty intensity from the perspective of the regional administration: Empirical evidence from households in southern Europe," Energy Policy, Elsevier, vol. 86(C), pages 729-738.
    13. John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
    14. Fernandez-Blanco, Victor & Orea, Luis & Prieto-Rodriguez, Juan, 2009. "Analyzing consumers heterogeneity and self-reported tastes: An approach consistent with the consumer's decision making process," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 622-633, August.
    15. Deller, David, 2018. "Energy affordability in the EU: The risks of metric driven policies," Energy Policy, Elsevier, vol. 119(C), pages 168-182.
    16. 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.
    17. 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.
    18. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    19. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    20. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
    21. Papada, Lefkothea & Kaliampakos, Dimitris, 2018. "A Stochastic Model for energy poverty analysis," Energy Policy, Elsevier, vol. 116(C), pages 153-164.
    22. Recalde, Martina & Peralta, Andrés & Oliveras, Laura & Tirado-Herrero, Sergio & Borrell, Carme & Palència, Laia & Gotsens, Mercè & Artazcoz, Lucia & Marí-Dell’Olmo, Marc, 2019. "Structural energy poverty vulnerability and excess winter mortality in the European Union: Exploring the association between structural determinants and health," Energy Policy, Elsevier, vol. 133(C).
    23. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
    24. Maciej Lis & Agata Miazga & Katarzyna Salach, 2016. "Location, location, location. What accounts for regional variation of fuel poverty in Poland?," IBS Working Papers 09/2016, Instytut Badan Strukturalnych.
    25. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    26. Andrew Clark & Fabrice Etilé & Fabien Postel-Vinay & Claudia Senik & Karine Van der Straeten, 2005. "Heterogeneity in Reported Well-Being: Evidence from Twelve European Countries," Economic Journal, Royal Economic Society, vol. 115(502), pages 118-132, March.
    27. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    28. Peter Heindl, 2015. "Measuring Fuel Poverty: General Considerations and Application to German Household Data," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 71(2), pages 178-215, June.
    29. repec:dau:papers:123456789/14815 is not listed on IDEAS
    30. Waddams Price, Catherine & Brazier, Karl & Wang, Wenjia, 2012. "Objective and subjective measures of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 33-39.
    31. Fahmy, Eldin & Gordon, David & Patsios, Demi, 2011. "Predicting fuel poverty at a small-area level in England," Energy Policy, Elsevier, vol. 39(7), pages 4370-4377, July.
    32. Dorothée Charlier & Bérangère Legendre, 2016. "Fuel Poverty: A Composite Index Approach," Policy Papers 2016.06, FAERE - French Association of Environmental and Resource Economists.
    33. Anderson, Will & White, Vicki & Finney, Andrea, 2012. "Coping with low incomes and cold homes," Energy Policy, Elsevier, vol. 49(C), pages 40-52.
    34. 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.
    35. Liddell, Christine & Morris, Chris, 2010. "Fuel poverty and human health: A review of recent evidence," Energy Policy, Elsevier, vol. 38(6), pages 2987-2997, June.
    36. Thomas F. Crossley & Federico Zilio, 2018. "The health benefits of a targeted cash transfer: The UK Winter Fuel Payment," Health Economics, John Wiley & Sons, Ltd., vol. 27(9), pages 1354-1365, September.
    37. William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015. "Inflated Responses in Measures of Self-Assessed Health," American Journal of Health Economics, MIT Press, vol. 1(4), pages 461-493, Fall.
    38. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    39. Florian Fizaine & Sondès Kahouli, 2018. "On the power of indicators: how the choice of the fuel poverty measure affects the identification of the target population," Policy Papers 2018.01, FAERE - French Association of Environmental and Resource Economists.
    40. John Hills, 2011. "Fuel Poverty: The problem and its measurement. Interim Report of the Fuel Poverty Review," CASE Reports casereport69, Centre for Analysis of Social Exclusion, LSE.
    41. Ürge-Vorsatz, Diana & Tirado Herrero, Sergio, 2012. "Building synergies between climate change mitigation and energy poverty alleviation," Energy Policy, Elsevier, vol. 49(C), pages 83-90.
    42. Raffaele Miniaci & Carlo Scarpa & Paola Valbonesi, 2014. "Fuel poverty and the energy benefits system: The Italian case," IEFE Working Papers 66, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    43. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
    44. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    45. Scarpellini, Sabina & Alexia Sanz Hernández, M. & Moneva, José M. & Portillo-Tarragona, Pilar & Rodríguez, María Esther López, 2019. "Measurement of spatial socioeconomic impact of energy poverty," Energy Policy, Elsevier, vol. 124(C), pages 320-331.
    46. Lawson, Rob & Williams, John & Wooliscroft, Ben, 2015. "Contrasting approaches to fuel poverty in New Zealand," Energy Policy, Elsevier, vol. 81(C), pages 38-42.
    47. John Hills, 2012. "Getting the measure of fuel poverty: Executive summary," CASE Briefs 31, Centre for Analysis of Social Exclusion, LSE.
    48. Miniaci, Raffaele & Scarpa, Carlo & Valbonesi, Paola, 2014. "Energy affordability and the benefits system in Italy," Energy Policy, Elsevier, vol. 75(C), pages 289-300.
    49. repec:aen:journl:eeep4_1_phimister is not listed on IDEAS
    50. 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. 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.
    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. 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.
    4. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).
    5. Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
    6. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    7. 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).
    8. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    9. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    10. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    11. Cadaval, María & Regueiro-Ferreira, Rosa Ma & Calvo, Santiago, 2022. "The role of the public sector in the mitigation of fuel poverty in Spain (2008–2019): Modeling the contribution of the BonoSocial deElectricidad," Energy, Elsevier, vol. 258(C).
    12. 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).
    13. 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.
    14. Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
    16. Dorothee Charlier and Berangere Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    17. Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.
    18. Davillas, Apostolos & Burlinson, Andrew & Liu, Hui-Hsuan, 2022. "Getting warmer: Fuel poverty, objective and subjective health and well-being," Energy Economics, Elsevier, vol. 106(C).
    19. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    20. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).

    More about this item

    Keywords

    Fuel poverty in Spain; self-assessed health; latent class ordered probit model.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:enp:wpaper:eprg1823. 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: Ruth Newman (email available below). General contact details of provider: https://edirc.repec.org/data/jicamuk.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.