Measuring energy poverty in Greece

Papada, Lefkothea; Kaliampakos, Dimitris

doi:10.1016/j.enpol.2016.04.004

Cited by 193 publications

(93 citation statements)

References 12 publications

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“…Contrary to some beliefs, fuel poverty is also a deprivation and health issue in milder climates (Healy, 2004). Some studies have analysed fuel poverty in countries in Southern Europe: Miniaci et al (2014) in Italy, Charlier and Legendre (2016) and Legendre and Ricci (2015) in France, Papada and Kaliampakos (2016) in Greece, or Linares Llamas et al (2017) for Spain are some examples. 2 A significant challenge from social policy perspective is to define suitable measures of fuel poverty and their relationship with health status of individuals.…”

Section: Introductionmentioning

confidence: 99%

Objective vs. subjective fuel poverty and self-assessed health

2020

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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 selfassessed 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. 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 policymakers. Moreover, it is important that policies to tackle fuel poverty take...

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Section: Introductionmentioning

confidence: 99%

Objective vs. subjective fuel poverty and self-assessed health

2020

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“…Concerning spatial differences within countries, in Greece, Papada and Kaliampakos (2016) have found that areas in colder climatic zones or higher altitudes are characterized by higher numbers of households paying more than 10 per cent of their income on energy bills (also see . Healy and Clinch (2004) have studied rates of energy poverty in Ireland, finding that the shares of households affected by the condition vary geographically between 15 and 18.9 per cent, but with more notable differences in terms of absolute figures-rural areas and Dublin record the greatest number of households living in the condition.…”

Section: Energy Justicementioning

confidence: 99%

“…The justice implications of specifically geographical forms of inequality have rarely been examined. Although a substantial body of literature demonstrates how the occurrence and prevalence of energy poverty is uneven across space (Burholt & Windle, 2006;Papada & Kaliampakos, 2016;Thomson & Snell, 2013), such work has principally focused on the drivers or consequences of energy poverty itself, and does not explicitly engage with questions of justice and injustice.…”

Section: Energy Justicementioning

confidence: 99%

Energy Poverty

Bouzarovski

2018

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Terms of use: Documents in EconStor mayCover illustration: Détail de la Tour Eiffel © nemesis2207/Fotolia.co.uk EVALUATE is a multi-sited study, involving extensive research across a variety of cities and countries. Focusing primarily on four Central and Eastern European cities (Budapest, Gdanśk, Prague and Skopje) the project has undertaken a customized survey with 2435 households, supplemented with insights from in-depth household interviews, 'energy diaries' and energy efficiency audits in the homes of approximately 160 households living in the four cities. EVALUATE has entailed 195 expert interviews in a much wider range of sites across the world, as well as an analysis of micro-data from national and European Union surveys of energy poverty. It has led to more than 200 dissemination activities, while laying the basis for the European Energy Poverty Observatory as well as a new European Co-operation for Science and Technology Action on 'European Energy Poverty: Agenda Co-Creation and Knowledge Innovation'.EVALUATE benefited from a range of parallel knowledge exchange and dissemination events, funded with the support of the UK Energy EVALUATE has engaged a team of outstanding individuals whose contribution to the project has been immeasurable: the core group has consisted of Neil Simcock, Sergio Tirado Herrero, H...

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“…The justice implications of specifically geographical forms of inequality have rarely been examined. Although a substantial body of literature demonstrates how the occurrence and prevalence of energy poverty is uneven across space (Burholt & Windle, 2006;Healy, 2017;Papada & Kaliampakos, 2016;Thomson & Snell, 2013), such work has principally focused on the drivers or consequences of energy poverty itself, and does not explicitly engage with questions of justice and injustice.…”

Section: Energy Justicementioning

confidence: 99%

“…Concerning spatial differences within countries, in Greece, Papada and Kaliampakos (2016) have found that areas in colder climatic zones or higher altitudes are characterized by higher numbers of households paying more than 10 per cent of their income on energy bills (also see Katsoulakos, 2011). Healy and Clinch (2004) have studied rates of energy poverty in Ireland, finding that the shares of households affected by the condition vary geographically between 15 and 18.9 per cent, but with more notable differences in terms of absolute figures-rural areas and Dublin record the greatest number of households living in the condition.…”

Section: Energy Justicementioning

confidence: 99%

Understanding Energy Poverty, Vulnerability and Justice

Bouzarovski

2017

Energy Poverty

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This chapter outlines past and current definitional issues at the nexus of energy poverty, energy vulnerability, energy justice and energy transitions. It traces the historical development of scientific understandings centring on these topics, while exploring their interactions and interdependencies. The chapter starts from the multiple definitional controversies surrounding fuel poverty and energy poverty, to then discuss the different ways in which notions of energy vulnerability and energy justice have enriched traditional understandings. The latter has been achieved, in part, thanks to a fuller appreciation of the services and production chains via which energy circulates across territories.

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Measuring energy poverty in Greece

Cited by 193 publications

References 12 publications

Objective vs. subjective fuel poverty and self-assessed health

Objective vs. subjective fuel poverty and self-assessed health

Energy Poverty

Understanding Energy Poverty, Vulnerability and Justice

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