IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v40y2019i2p27-54.html
   My bibliography  Save this article

A Multidimensional Approach to Measuring Fuel Poverty

Author

Listed:
  • Dorothée Charlier
  • Berangère Legendre

Abstract

In this study we suggest that a more careful and systematic understanding of fuel poverty can be developed through a multidimensional approach to the relationship between monetary poverty, residential energy efficiency, and heating restriction. Our objective is to provide new ways to better identify those who suffer the most from fuel poverty to optimize policy. Thus, the purpose of this paper is to measure poverty in three steps following Sen (1979): (i) combining poverty characteristics into an aggregate measure involving a fuel poverty index (FPI), (ii) identification and comparison of poor people according to existing and new definitions and (iii) testing the robustness of the fuel poverty composite indicator. Our results show that the usual measures reveal a gap that does not consider all the dimensions of fuel poverty, excluding those who are at or above a certain threshold, but who are nevertheless vulnerable.

Suggested Citation

  • Dorothée Charlier & Berangère Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," The Energy Journal, , vol. 40(2), pages 27-54, March.
    • Handle: RePEc:sae:enejou:v:40:y:2019:i:2:p:27-54
    DOI: 10.5547/01956574.40.2.bleg
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.40.2.bleg
    Download Restriction: no
    File URL: https://libkey.io/10.5547/01956574.40.2.bleg?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
    ---><---

    References listed on IDEAS

    as
    1. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    2. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    4. Shonali Pachauri & Daniel Spreng, 2003. "Energy use and energy access in relation to poverty," CEPE Working paper series 03-25, CEPE Center for Energy Policy and Economics, ETH Zurich.
    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. 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).
    2. Joan-Ramon Borrell & Juan Luis Jiménez & Carmen García, 2014. "Evaluating Antitrust Leniency Programs," Journal of Competition Law and Economics, Oxford University Press, vol. 10(1), pages 107-136.
    3. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    4. Binder, Martin & Coad, Alex, 2013. "“I'm afraid I have bad news for you…” Estimating the impact of different health impairments on subjective well-being," Social Science & Medicine, Elsevier, vol. 87(C), pages 155-167.
    5. DorothŽe Charlier & Berang re Legendre & Anna Risch, 2017. "Fuel poverty and indoor pollution: Providing financial support vs. combatting poor housing?," Policy Papers 2017.05, FAERE - French Association of Environmental and Resource Economists.
    6. Riccardo Turati, 2025. "Networks abroad and culture: global individual-level evidence," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-42, March.
    7. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    8. repec:spo:wpmain:info:hdl:2441/53r60a8s3kup1vc9je5h30d2n is not listed on IDEAS
    9. repec:zbw:rwirep:0426 is not listed on IDEAS
    10. Chang, Pao-Li & Lee, Myoung-Jae, 2011. "The WTO trade effect," Journal of International Economics, Elsevier, vol. 85(1), pages 53-71, September.
    11. Ranjula Bali Swain & Maria S. Floro, 2010. "Reducing Vulnerability through Microfinance: Assessing the Impact of Self-Help Groups in India," Working Papers 2010-19, American University, Department of Economics.
    12. Hendrik Schmitz & Matthias Westphal, 2013. "Short- and Medium-term Effects of Informal Care Provision on Health," Ruhr Economic Papers 0426, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    13. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    14. Okudaira, Hiroko & Ohtake, Fumio & Kume, Koichi & Tsuru, Kotaro, 2013. "What does a temporary help service job offer? Empirical suggestions from a Japanese survey," Journal of the Japanese and International Economies, Elsevier, vol. 28(C), pages 37-68.
    15. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    16. Liu, Xiaolu & Li, Xiaoyu & Li, Honglin, 2016. "R&D subsidies and business R&D: Evidence from high-tech manufacturing firms in Jiangsu," China Economic Review, Elsevier, vol. 41(C), pages 1-22.
    17. Yuanyuan Ma & Anne Nolan, 2017. "Public Healthcare Entitlements and Healthcare Utilisation among the Older Population in Ireland," Health Economics, John Wiley & Sons, Ltd., vol. 26(11), pages 1412-1428, November.
    18. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9je5h30d2n is not listed on IDEAS
    19. Origo, Federica, 2009. "Flexible pay, firm performance and the role of unions. New evidence from Italy," Labour Economics, Elsevier, vol. 16(1), pages 64-78, January.
    20. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    21. Steve Bradley & Giuseppe Migali & Jim Taylor, 2013. "Funding, School Specialization, and Test Scores: An Evaluation of the Specialist Schools Policy Using Matching Models," Journal of Human Capital, University of Chicago Press, vol. 7(1), pages 76-106.
    22. Patrick Nussbaumer & Morgan Bazilian & Vijay Modi & Kandeh K. Yumkella, 2011. "Measuring Energy Poverty: Focusing on What Matters," OPHI Working Papers 42, Queen Elizabeth House, University of Oxford.
    23. Schmitz, Hendrik & Westphal, Matthias, 2013. "Short- and Medium-term Effects of Informal Care Provision on Health," Ruhr Economic Papers 426, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    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:sae:enejou:v:40:y:2019:i:2:p:27-54. 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: SAGE Publications (email available below). General contact details of provider: .

    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.