Elsevier

Energy Economics

Volume 102, October 2021, 105491
Energy Economics

Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan

https://doi.org/10.1016/j.eneco.2021.105491Get rights and content

Highlights

  • The study applied a new type of energy poverty measure to France and Japan.

  • Domestic energy needs and energy poverty rates are greater in France than in Japan.

  • Regional energy poverty prevalence reflects circumstantial factors like climate.

  • Energy used for heating is crucial in the context of energy poverty and inequality.

  • Cross-country comparisons of regions with similar circumstances are useful.

Abstract

In recent years, energy poverty has become an important issue in both developed and developing countries. Although several previous studies have already examined various aspects of energy poverty, there remains an important question with respect to the definitions and indicators that can be relied on to measure energy poverty. A better understanding of the methodological issues regarding the measurement of energy poverty is crucial for the framing and implementation of policies devoted to fighting this phenomenon.

This study applies a new type of measure of energy poverty based on a direct measurement approach in which energy poverty is identified directly based on the actual use of domestic energy services by each household. Using this approach, the study reconsiders the regional aspects of energy poverty both methodologically and empirically, highlighting the pivotal role of climatic and spatial differences in the prevalence of regional energy poverty. The results demonstrate that circumstantial factors such as climate must be taken into account to obtain an accurate picture of energy poverty.

Furthermore, this study provides an international comparison analysis on energy poverty and energy inequality by region in France and Japan. The results clarify that the energy types used for heating, i.e., gas in France and kerosene in Japan, are essential in the context of energy poverty and inequality. Replacing gas and kerosene with low-carbon energy, while guaranteeing people's energy needs, is the key to realizing an inclusive low-carbon energy transition in both countries. This study highlights the significance and usefulness of cross-border comparisons of regions with similar climatic or other circumstantial factors.

Introduction

As the world moves aggressively toward decarbonization, energy or fuel poverty has become an important issue in both developed and developing countries. Energy poverty is now defined as the inability of “a socially and materially necessitated level of domestic energy services” (Bouzarovski and Petrova, 2015, p. 31) or “domestic energy services required to live a decent and healthy life” (Middlemiss and Gillard, 2015, p. 147), and not just the inability of “affordable warmth” (Boardman, 1991, p. 200). In line with the above definitions, the EU Energy Poverty Observatory defines energy poverty as a condition characterized by experiencing inadequate levels of essential energy services such as adequate warmth, cooling, lighting, and the energy to power appliances.1

The UK government was the first to acknowledge this phenomenon and establish policies to fight it. In fact, the energy poverty concept was born in the UK in the 1970s under the leadership of activist organizations that brought the issue to the attention of authorities and the general population in light of its health consequences, in particular, winter mortality induced by the inability of some households to get an appropriate level of warmth. Awareness of energy poverty is growing rapidly, and in Europe, the issue is being increasingly integrated within the activities of the European Union. It is estimated that more than 50 million households in the EU experienced energy poverty in 2019. Even in other countries outside Europe, such as Australia, China, India, and Japan, there has been a burgeoning interest in the energy poverty issue (Okushima, 2016, Okushima, 2017; Sadath and Acharya, 2017; Poruschi and Ambrey, 2018; Robinson et al., 2018b; Awaworyi Churchill et al., 2020; Awaworyi Churchill and Smyth, 2020; Gupta et al., 2020; Lin and Wang, 2020).

This growing interest in energy poverty is explained by its negative on affected population. In particular, during the last couple of years, a multidisciplinary literature discussed negative impacts of energy poverty on human health and well-being (Liddell and Morris, 2010; Poortinga et al., 2017; Thomson et al., 2017; Bosch et al., 2019; Kahouli, 2020). Such literature argues that energy poverty may increase morbidity rates as well as mortality risk. In fact, cold temperatures are strongly related to cardiovascular and respiratory diseases, and double the risk of respiratory problems, in particular, in the case of children. Cold also increases the risk of infections and minor illnesses such as colds and flu. It also exacerbates existing conditions such as arthritis and rheumatism, and negatively affects mental health by increasing the stress on households. Healy (2003) argues that mortality risk is one of the most extreme health consequences of energy poverty. In the same context, Marmot Review Team (2011) states that energy poverty impairs children's educational attainment, emotional well-being and resilience, reduces dietary opportunities and choices, and increases the risk of accidents and injuries at home. Moreover, it also impedes everyday life work or study and has serious social consequences such as reduction in social interaction and exclusion.

To tackle with these negative consequences of energy poverty, a primary question to answer is how to measure this phenomenon. Identifying households experiencing energy poverty is crucial for the framing and implementation of policies devoted to fighting the phenomenon. Based on an earlier contribution by Isherwood and Hancock (1979), Boardman (1991) suggested the 10% indicator to measure energy poverty, which has since been largely used. It defines a household in energy poverty as one whose energy costs exceed 10% of its income. Since then, a number of studies have proposed different methods from different points of view, but there is still no definitive method. In fact, the 10% indicator, which is now known to have various shortcomings, is still widely used worldwide.2

In this context, there exists an important question as to whether the phenomenon of energy poverty can be assessed using a unidimensional indicator with a uniform criterion (threshold) (Okushima, 2017, Okushima, 2019). Energy poverty research is now widespread worldwide, and circumstantial factors behind the energy poverty phenomenon, including climate, vary from country to country as well as region to region. Adequate consideration of factors that affect people's energy needs is required to obtain a more accurate picture of national or regional energy poverty, although it has often been overlooked in the literature (Bouzarovski and Simcock, 2017; Okushima, 2019).

Against this background, this study makes the following contributions to the energy poverty scholarship. First, the study reconsiders the evaluation of regional energy poverty both methodologically and empirically. Despite the importance of regional differences in energy poverty prevalence and those in circumstantial factors (energy vulnerability factors) such as climate, income, energy infrastructure, and housing types between regions, studies on such spatial aspects are still scarce (Castaño-Rosa and Okushima, 2021). This study aims to fill this gap in the literature.

Second, to achieve this objective, this study introduces a new type of energy poverty measure based on the direct measurement approach developed by Okushima (2019) in which energy poverty is identified directly based on the actual use of domestic energy services by each household. This feature makes this measure different from existing measures such as the 10% indicator, which identifies energy poverty on the basis of the share of energy expenditure in income. The study addresses regional energy poverty issues with this approach, while it can also contribute to the debate on energy (in)efficiency. In fact, energy (in)efficiency is fundamentally related to the energy use. In the measurement of energy poverty, research shows that annual variations in energy poverty rates, which are evaluated by existing (expenditure-type) measures, can be much related to transitory prices variations, rather than a sustainable change like a change in energy efficiency (e.g., Hills, 2011). In this context, the direct measurement approach could be more reliable to identify energy-poor households. As shown below, the approach yields the results different from those by the 10% indicator.

Another feature of the measure is its inclusion of multiple (poverty) thresholds that can reflect a variety of energy vulnerability factors, such as climate or housing type, which determine the risk of falling into energy poverty. This study sets multiple thresholds in line with the typology of households with respect to energy vulnerability factors. It focuses on three energy vulnerability factors: climatic, dwelling (detached or apartment), and socio-demographic (having elderly members or not). In particular, the research argues that addressing climatic differences effectively is vital for the appropriate measurement of energy poverty.

The third contribution is the application of this energy poverty measure within the framework of an international comparative study of France and Japan. Energy poverty is a worldwide problem that is deeply associated with the specific socio-economic or even cultural characteristics of each country. The international community shares the common goal of fighting this problem, but the challenge has just begun. In this context, comparative studies of national experiences would be insightful, and international cooperation can help overcome the problem more efficiently and appropriately. Nevertheless, only a few studies on energy poverty have performed an international comparison analysis. For example, Kyprianou et al. (2019) performed a comparative study of five EU countries: Cyprus, Spain, Portugal, Bulgaria, and Lithuania; Bonatz et al. (2019) analyzed the differences in the characteristics of energy poverty in China and Germany; and Teschner et al. (2020) performed a comparative analysis of a European and a non-European country, i.e., Romania versus Israel.

This study also contributes to the scholarship by providing the first comparative analysis of energy poverty in France and Japan whereas some recent public and private alliances on energy transition between the two countries have been implemented. To the best of our knowledge, this is the first international comparative study of energy poverty in a developed European country and a developed Asian country. Both countries are mature developed countries, now struggling with deep decarbonization efforts in a bid to comply with the Paris Agreement. Both countries are also looking to consolidate their international energy policy cooperation, e.g., on renewables and energy efficiency issues (METI (Ministry of Economy, Trade and Industry), 2019). Moreover, regarding the long-lasting question of the methodology to use to measure energy poverty, the two countries have diverse climates within their national borders, which makes them ideal targets for the application of the direct measurement approach. Despite these commonalities, the political perception of energy poverty is still very different in the two countries. Therefore, Japan, as a latecomer, can be expected to learn a lot from past French experiences to combat energy poverty.

The remainder of this paper is structured as follows. Section 2 reviews the situation on energy poverty in France and Japan. Section 3 presents the details of the methodology used for energy poverty evaluation in this study. Section 4 discusses the results. The final section provides the concluding remarks.

Section snippets

Trends in energy poverty: France and Japan

This section illustrates the energy poverty profile of France and Japan from a regional perspective. It outlines the recent trends in energy poverty and the details of the climatic conditions in both countries in order to give a clear picture of the circumstances under which energy poverty is observed.

Table 1 gives a brief overview of the socio-economic profiles of France and Japan. The total population in Japan is about 126.5 million, which is almost double France's population of 66.99

Methodology

The question of how to gauge energy poverty remains a key issue in energy poverty research. Since the seminal “10% indicator” by Boardman (1991), the literature has been developed further and three types of measures are commonly identified these days: objective factual measures, subjective self-reported measures, and composite indices (see Appendix A for more details). This study applies a kind of objective factual measure with two dimensions: energy services use and income level. This measure

Results and discussion

This section applies the method discussed in Section 3 to France and Japan and evaluates the advantages of the method compared to the affordability types of energy poverty indicators. It also investigates the regional differences in energy use structure in France and Japan, which characterize regional energy poverty in both countries, with the help of energy inequality analysis. This study reconsiders regional energy poverty prevalence in light of circumstantial factors.

Table 7 shows the energy

Concluding remarks

This study used a novel type of evaluation method for energy poverty in which energy poverty is defined by the unfulfillment of adequate levels of domestic energy services. And it applied the method to France and Japan, focusing on regional differences in the domestic energy use structure in both countries. To the best of our knowledge, this study is the first international comparison between a developed European country and a developed Asian country in the field of energy poverty research. The

Credit author statement

Sondès Kahouli: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing - Original Draft, Writing - Review & Editing, Visualization, Supervision. Shinichiro Okushima: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing - Original Draft, Writing - Review & Editing, Visualization, Supervision, Funding acquisition.

Funding

This research was supported by the Grant-in-Aid for Scientific Research (JSPSKAKENHI) [Grant No. JP17K00679 and JP21H03667].

Declaration of Competing Interest

None.

Acknowledgments

The authors are grateful to the editors of this journal for their kind assistance and the three anonymous reviewers for their useful comments and suggestions. In addition, the authors would like to thank the staff of the Statistics Bureau, Ministry of Internal Affairs and Communications Japan, those of the Ministry of the Environment Japan, and Masaya Tokutake for their kind assistance with this study.

References (93)

  • U. Dubois

    From targeting to implementation: the role of identification of fuel poor households

    Energy Policy

    (2012)
  • K. Fabbri

    Building and fuel poverty, an index to measure fuel poverty: an Italian case study

    Energy

    (2015)
  • E. Fahmy et al.

    Predicting fuel poverty at a small-area level in England

    Energy Policy

    (2011)
  • S. Gupta et al.

    Household Energy Poverty Index for India: an analysis of inter-state differences

    Energy Policy

    (2020)
  • E. Hache et al.

    Beyond average energy consumption in the French residential housing market: a household classification approach

    Energy Policy

    (2017)
  • J.D. Healy et al.

    Fuel poverty, thermal comfort and occupancy: results of a national household-survey in Ireland

    Appl. Energy

    (2002)
  • J.D. Healy et al.

    Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland

    Energy Policy

    (2004)
  • P. Heindl et al.

    Dynamic properties of energy affordability measures

    Energy Policy

    (2015)
  • S. Kahouli

    An economic approach to the study of the relationship between housing hazards and health: the case of residential fuel poverty in France

    Energy Econ.

    (2020)
  • I. Kyprianou et al.

    Energy poverty policies and measures in 5 EU countries: a comparative study

    Energy Build.

    (2019)
  • B. Legendre et al.

    Measuring fuel poverty in France: which households are the most fuel vulnerable?

    Energy Econ.

    (2015)
  • C. Liddell et al.

    Fuel poverty and human health: a review of recent evidence

    Energy Policy

    (2010)
  • C. Liddell et al.

    Measuring and monitoring fuel poverty in the UK: national and regional perspectives

    Energy Policy

    (2012)
  • B. Lin et al.

    Does energy poverty really exist in China? From the perspective of residential electricity consumption

    Energy Policy

    (2020)
  • I. Mayer et al.

    The two faces of energy poverty: a case study of households’ energy burden in the residential and mobility sectors at the city level

    Transp. Res. Procedia

    (2014)
  • A. Mazzone

    Thermal comfort and cooling strategies in the Brazilian Amazon. An assessment of the concept of fuel poverty in tropical climates

    Energy Policy

    (2020)
  • S. Meyer et al.

    Capturing the multifaceted nature of energy poverty: lessons from Belgium

    Energy Res. Soc. Sci.

    (2018)
  • L. Middlemiss et al.

    Fuel poverty from the bottom-up: characterising household energy vulnerability through the lived experience of the fuel poor

    Energy Res. Soc. Sci.

    (2015)
  • R. Moore

    Definitions of fuel poverty: implications for policy

    Energy Policy

    (2012)
  • P. Nussbaumer et al.

    Measuring energy poverty: focusing on what matters

    Renew. Sust. Energ. Rev.

    (2012)
  • S. Okushima

    Measuring energy poverty in Japan, 2004–2013

    Energy Policy

    (2016)
  • S. Okushima

    Gauging energy poverty: a multidimensional approach

    Energy

    (2017)
  • S. Okushima

    Understanding regional energy poverty in Japan: a direct measurement approach

    Energy Build.

    (2019)
  • S. Okushima

    Energy poor need more energy, but do they need more carbon?: Evaluation of people’s basic carbon needs

    Ecological Economics

    (2021)
  • T. Oreszczyn et al.

    The warm front study group, determinants of winter indoor temperatures in low income households in England

    Energy Build.

    (2006)
  • L. Papada et al.

    Measuring energy poverty in Greece

    Energy Policy

    (2016)
  • L. Poruschi et al.

    Densification, what does it mean for fuel poverty and energy justice? An empirical analysis

    Energy Policy

    (2018)
  • D. Roberts et al.

    Fuel poverty in the UK: is there a difference between rural and urban areas?

    Energy Policy

    (2015)
  • C. Robinson et al.

    Energy poverty and thermal comfort in northern urban China: a household-scale typology of infrastructural inequalities

    Energy Build.

    (2018)
  • C. Sanchez-Guevara et al.

    Assessing population vulnerability towards summer energy poverty: case studies of Madrid and London

    Energy Build.

    (2019)
  • M. Santamouris et al.

    On the relation between the energy and social characteristics of the residential sector

    Energy Build.

    (2007)
  • C. Sebi et al.

    Community renewable energy in France: the state of development and the way forward

    Energy Policy

    (2020)
  • N. Teschner et al.

    Extreme energy poverty in the urban peripheries of Romania and Israel: policy, planning and infrastructure

    Energy Res. Soc. Sci.

    (2020)
  • H. Thomson et al.

    Quantifying the prevalence of fuel poverty across the European Union

    Energy Policy

    (2013)
  • H. Thomson et al.

    Energy poverty and indoor cooling: an overlooked issue in Europe

    Energy Build.

    (2019)
  • C. Waddams Price et al.

    Objective and subjective measures of fuel poverty

    Energy Policy

    (2012)
  • Cited by (30)

    View all citing articles on Scopus
    View full text