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Energy Poverty

Area: Policy and financing

The in-depth study of energy poverty as a social phenomenon commenced in the late 19th century through the works of British social researchers Booth and Rowntree (O’Connor, 2016). This era was characterised by significant social and economic transformation, and these scholars were troubled by the living conditions and welfare of impoverished urban populations, who were residing in congested and unsanitary environments.

Throughout the 20th century, poverty in policy contexts became quite narrowly defined as a lack of income. However, it was another social concern in the UK that led to the development of concepts like ‘fuel poverty’ or ‘energy poverty’ a century after Booth and Rowntree.[i] Following the 1973 oil crisis, the Child Poverty Action Group took the initiative to address how increasing energy costs were affecting low-income households in the UK (Johnson & Rowland, 1976). As essentials like heating, electricity, and fuels became necessary for maintaining a decent standard of living in modern British society, this advocacy group pushed for government financial support. Later, Bradshaw and Hutton (1983) introduced a narrower definition of energy poverty: “the inability to afford adequate heat in the home”. Since then, studies on energy poverty have typically excluded motor fuels, as they fall under transport poverty, a related but separate area of study (Mattioli et al., 2017).

Energy poverty, as defined by Bouzarovski and Petrova (2015, p. 33), refers to "the inability to secure or afford sufficient domestic energy services that allow for participation in society." Although the precise boundaries of relevant domestic energy usage are still debated, this definition expands beyond mere heating as it encompasses energy used for cooling, which is particularly relevant in warmer climates (Thomson et al., 2019). Moreover, it enables a socially and culturally dependent understanding of what it means to participate in society (Middlemiss et al., 2019). On 13 September 2023, the European Union (2023) officially defined energy poverty as “a household’s lack of access to essential energy services, where such services provide basic levels and decent standards of living and health, including adequate heating, hot water, cooling, lighting, and energy to power appliances, in the relevant national context, existing national social policy and other relevant national policies, caused by a combination of factors, including at least non-affordability, insufficient disposable income, high energy expenditure and poor energy efficiency of homes”.

The doctoral thesis and subsequent book by Brenda Boardman, Fuel Poverty: From Cold Homes to Affordable Warmth (1991), marked a significant breakthrough in energy poverty research. She emphasised the detrimental impact of energy-inefficient housing on health and quality of life. In the decades that followed, substantial literature confirmed her qualitative findings (Thomson et al., 2017). Notably, studies have demonstrated the adverse effects of living in energy poverty on physical health (Liddell & Morris, 2010), mental health (Liddell & Guiney, 2015), stress levels (Longhurst & Hargreaves, 2019), social isolation (Harrington et al., 2005), and absenteeism (Howden-Chapman et al., 2007).

Boardman’s work introduced an indicator that has remained influential to this date, although it was not the first attempt to operationalise the concept of fuel poverty (Isherwood & Hancock, 1979). Her ‘2M’ indicator categorises a household as energy poor if it needs to allocate twice the median share of its budget for energy expenses to heat its home adequately. Boardman calculated this threshold to be 10% at that time. Due to its simplicity and ease of comprehension, many governments directly adopted this 10% threshold without considering specific contextual circumstances. Since the early nineties, numerous attempts have been made to develop alternative indicators. Highly influential ones include ‘Low Income High Cost’ (LIHC) by John Hills (2012), ‘Low Income Low Energy Efficiency’ (LILEE) that subsequently became the official British indicator (BEIS, 2022), and a 'hidden' energy poverty indicator by (Meyer et al., 2018). Critiques of these indicators focus, amongst other things, on their simplicity and perceived 'technocratic' approach (Croon et al., 2023; Middlemiss, 2017).

This marked the beginning of significant government commitment, initially in the UK and later in other countries to address energy poverty. Although certain forms of cold weather payments had already been introduced by the UK's Conservative administrations, it was under the successive governments of Blair and Brown, following the publication of Boardman's work, that programmes such as the Winter Fuel Payment and Warm Home Discount were implemented (Koh et al., 2012). The UK examples highlight bipartisan support for addressing energy poverty, with both the Conservatives and Labour backing these efforts. This policy objective has also gained momentum in various legislative contexts, leading the EU to incorporate energy poverty alleviation as a fundamental pillar of the European Green Deal and a specific goal of its landmark Social Climate Fund (European Commission, 2021).

Over the last three decades, public interest in energy poverty as a 'wicked' problem has surged, particularly during the recent energy crisis. This crisis began in 2021 when energy markets tightened due to a post-pandemic economic rebound, and it worsened dramatically after Russia's invasion of Ukraine in February 2022 (IEA, 2023). Extensive research on the impact of this price surge on energy poverty levels has been carried out throughout Europe and globally (Guan et al., 2023; Simshauser, 2023). Consequently, energy poverty has become a significant focal point in discussions related to the 'just transition,' especially within the realm of energy justice, as it serves as a valuable concept for targeting policies towards a specific vulnerable group in this context (Carrosio & De Vidovich, 2023).

 

 

[i] ‘Fuel poverty' and 'energy poverty' are used interchangeably, with the former being more common in the UK and the latter in mainland Europe (Bouzarovski & Petrova, 2015). Previously, scholars in the UK used 'energy poverty' to denote a lack of access to energy and 'fuel poverty' when affordability was the concern (Li et al., 2014). However, this distinction is no longer maintained.

References

BEIS. (2022). Methodology handbook LILEE with projection. https://www.gov.uk/government/publications/fuel-poverty-statistics-methodology-handbook

Boardman, B. (1991). Fuel Poverty: From Cold Homes to Affordable Warmth. Pinter Pub Limited.

Bouzarovski, S., & Petrova, S. (2015). A global perspective on domestic energy deprivation: Overcoming the energy poverty–fuel poverty binary. Energy Research & Social Science, 10, 31-40. https://doi.org/10.1016/j.erss.2015.06.007

Bradshaw, J., & Hutton, S. (1983). Social policy options and fuel poverty. Journal of Economic Psychology, 3(3-4), 249-266.

Carrosio, G., & De Vidovich, L. (2023). Towards eco-social policies to tackle the socio-ecological crisis: energy poverty as an interface between welfare and environment. Environmental Sociology, 9(3), 243-256. https://doi.org/10.1080/23251042.2023.2207707

Croon, T. M., Hoekstra, J. S. C. M., Elsinga, M. G., Dalla Longa, F., & Mulder, P. (2023). Beyond headcount statistics: Exploring the utility of energy poverty gap indices in policy design. Energy Policy, 177. https://doi.org/10.1016/j.enpol.2023.113579

European Commission. (2021). Proposal for a Regulation of the European Parliament and of the Council Establishing a Social Climate Fund. https://eur-lex.europa.eu/resource.html?uri=cellar:9e77b047-e4f0-11eb-a1a5-01aa75ed71a1.0001.02/DOC_3&format=PDF

European Union. (2023). Directive (EU) 2023/1791 of the European Parliament and of the Council of 13 September 2023 on energy efficiency and amending Regulation (EU) 2023/955 (recast). OJ L 231, 20.9.2023. http://data.europa.eu/eli/dir/2023/1791/oj

Guan, Y., Yan, J., Shan, Y., Zhou, Y., Hang, Y., Li, R., ... & Hubacek, K. (2023). Burden of the global energy price crisis on households. Nature Energy8(3), 304-316.

Harrington, B. E., Heyman, B., Merleau-Ponty, N., Stockton, H., Richie, N., & Heyman, A. (2005). Keeping warm and staying well: findings from the qualitative arm of the Warm Homes Project. Health Soc Care Community, 3, 259-267. https://doi.org/doi: 10.1111/j.1365-2524.2005.00558.x.

Hills, J. (2012). Getting the measure of fuel poverty: final report of the Fuel Poverty Review. http://eprints.lse.ac.uk/43153

Howden-Chapman, P., Matheson, A., Crane, J., Viggers, H., Cunningham, M., Blakely, T., Cunningham, C., Woodward, A., Saville-Smith, K., O'Dea, D., Kennedy, M., Baker, M., Waipara, N., Chapman, R., & Davie, G. (2007, Mar 3). Effect of insulating existing houses on health inequality: cluster randomised study in the community. BMJ, 334(7591), 460. https://doi.org/10.1136/bmj.39070.573032.80

IEA. (2023). Global Energy Crisis: How the energy crisis started, how global energy markets are impacting our daily life, and what governments are doing about it. https://www.iea.org/topics/global-energy-crisis

Isherwood, B. C., & Hancock, R. M. (1979). Household expenditure on fuel: distributional aspects.

Johnson, M., & Rowland, M. (1976). Fuel Debts & The Poor.

Koh, L., Marchand, R., Genovese, A., & Brennan, A. (2012). Fuel Poverty: Perspectives from the front line. https://www.sheffield.ac.uk/polopoly_fs/1.272226!/file/Fuel_Poverty-perspectives_from_the_front_line.pdf

Li, K., Lloyd, B., Liang, X.-J., & Wei, Y.-M. (2014). Energy poor or fuel poor: What are the differences? Energy Policy, 68, 476-481. https://doi.org/10.1016/j.enpol.2013.11.012

Liddell, C., & Guiney, C. (2015, Mar). Living in a cold and damp home: frameworks for understanding impacts on mental well-being. Public Health, 129(3), 191-199. https://doi.org/10.1016/j.puhe.2014.11.007

Liddell, C., & Morris, C. (2010). Fuel poverty and human health: A review of recent evidence. Energy Policy, 38(6), 2987-2997. https://doi.org/10.1016/j.enpol.2010.01.037

Longhurst, N., & Hargreaves, T. (2019). Emotions and fuel poverty: The lived experience of social housing tenants in the United Kingdom. Energy Research & Social Science, 56. https://doi.org/10.1016/j.erss.2019.05.017

Mattioli, G., Lucas, K., & Marsden, G. (2017). Transport poverty and fuel poverty in the UK: From analogy to comparison. Transport Policy, 59, 93-105. https://doi.org/10.1016/j.tranpol.2017.07.007

Meyer, S., Laurence, H., Bart, D., Middlemiss, L., & Maréchal, K. (2018). Capturing the multifaceted nature of energy poverty: Lessons from Belgium. Energy Research & Social Science, 40, 273-283. https://doi.org/10.1016/j.erss.2018.01.017

Middlemiss, L. (2017). A critical analysis of the new politics of fuel poverty in England. Critical Social Policy, 37(3), 425-443. https://doi.org/doi.org/10.1177/0261018316674851C

Middlemiss, L., Ambrosio-Albalá, P., Emmel, N., Gillard, R., Gilbertson, J., Hargreaves, T., Mullen, C., Ryan, T., Snell, C., & Tod, A. (2019). Energy poverty and social relations: A capabilities approach. Energy Research & Social Science, 55, 227-235. https://doi.org/10.1016/j.erss.2019.05.002

O’Connor, A. (2016). Poverty knowledge and the history of poverty research. In D. Brady & L. M. Burton (Eds.), The Oxford Handbook of the Social Science of Poverty (pp. 169-192). Oxford University Press.

Simshauser, P. (2023). Fuel poverty in Queensland: horizontal and vertical impacts of the 2022 energy crisis. Cambridge Working Papers in Economics, CWPE 2257. Retrieved from http://www.econ.cam.ac.uk/cwpe

Thomson, H., Simcock, N., Bouzarovski, S., & Petrova, S. (2019). Energy poverty and indoor cooling: An overlooked issue in Europe. Energy and Buildings, 196, 21-29. https://doi.org/10.1016/j.enbuild.2019.05.014

Thomson, H., Snell, C., & Bouzarovski, S. (2017, May 31). Health, Well-Being and Energy Poverty in Europe: A Comparative Study of 32 European Countries. Int J Environ Res Public Health, 14(6). https://doi.org/10.3390/ijerph14060584

 

Created on 17-10-2023 | Update on 06-11-2023

Related definitions

Just Transition

Author: T.Croon (ESR11)

Area: Policy and financing

Justice theory is as old as philosophical thought itself, but the contemporary debate often departs from the Rawlsian understanding of justice (Velasquez, Andre, Shanks, & Meyer, 1990). Rawls (1971) argued that societal harmony depends on the extent to which community members believe their political institutions treat them justly. His First Principle of ‘justice as fairness’ relates to equal provision of ‘basic liberties’ to the population. His Second Principle, later referred to as the ‘Difference Principle’, comprises unequal distribution of social and economic goods to the extent that it benefits “the least advantaged” (Rawls, 1971, p. 266).1[1] As this notion added an egalitarian perspective to Rawlsian justice theory, it turned out to be the most controversial element of his work (Estlund, 1996). The idea of a ‘just transition’ was built on these foundations by McCauley and Heffron (2018), who developed an integrated framework overarching the ‘environmental justice’, ‘climate justice’ and ‘energy justice’ scholarships. The term was first used by trade unions warning for mass redundancies in carbon-intensive industries due to climate policies (Hennebert & Bourque, 2011), but has acquired numerous interpretations since. This is because the major transition of the 21st century, the shift towards a low-carbon society, will be accompanied by large disturbances in the existing social order. In this context, a just transition would ensure equity and justice for those whose livelihoods are most affected (Newell & Mulvaney, 2013). A just transition implies that the ‘least advantaged’ in society are seen, heard, and compensated, which corresponds with three key dimensions conceptualised by Schlosberg (2004): distributive, recognitional, and procedural justice. Distributive justice corresponds with Rawls’ Difference Principle and comprehends the just allocation of burdens and benefits among stakeholders, ranging from money to risks to capabilities. Recognitional justice is both a condition of justice, as distributive injustice mainly emanates from lacking recognition of different starting positions, as well as a stand-alone component of justice, which includes culturally or symbolically rooted patterns of inequity in representation, interpretation, and communication (Young, 1990). Fraser (1997) stressed the distinction between three forms: cultural domination, nonrecognition (or ‘invisibility’), and disrespect (or ‘stereotyping’). Procedural justice emphasises the importance of engaging various stakeholders – especially the ‘least advantaged’ – in governance, as diversity of perspectives allows for equitable policymaking. Three elements are at the core of this procedural justice (Gillard, Snell, & Bevan, 2017): easily accessible processes, transparent decision-making with possibilities to contest and complete impartiality. A critique of the just transition discourse is that it preserves an underlying capitalist structure of power imbalance and inequality. Bouzarovski (2022) points to the extensive top- down nature of retrofit programmes such as the Green New Deal, and notes that this may collide with bottom-up forms of housing repair and material intervention. A consensus on the just transition mechanism without debate on its implementation could perpetuate the status quo, and thus neglect ‘diverse knowledges’, ‘plural pathways’ and the ‘inherently political nature of transformations’ (Scoones et al., 2020). However, as Healy and Barry (2017) note, understanding how just transition principles work in practice could benefit the act of ‘equality- proofing’ and ‘democracy-proofing’ decarbonisation decisions. Essentially, an ‘unjust transition’ in the context of affordable and sustainable housing would refer to low-income households in poorly insulated housing without the means or the autonomy to substantially improve energy efficiency. If fossil fuel prices – either by market forces or regulatory incentives – go up, it aggravates their already difficult financial situation and could even lead to severe health problems (Santamouris et al., 2014). At the same time, grants for renovations and home improvements are poorly targeted and often end up in the hands of higher income ‘free-riding’ households, having regressive distributional impacts across Europe (Schleich, 2019). But even when the strive towards a just transition is omnipresent, practice will come with dilemmas. Von Platten, Mangold, and Mjörnell (2020) argue for instance that while prioritising energy efficiency improvements among low-income households is a commendable policy objective, putting them on ‘the frontline’ of retrofit experiments may also burden them with start-up problems and economic risks. These challenges only accentuate that shaping a just transition is not an easy task. Therefore, both researchers and policymakers need to enhance their understanding of the social consequences that the transition towards low-carbon housing encompasses. Walker and Day (2012) applied Schlosberg’s dimensions to this context. They conclude that distributive injustice relates to inequality in terms of income, housing and pricing, recognitional justice to unidentified energy needs and vulnerabilities, and procedural injustice to inadequate access to policymaking. Ensuring that the European Renovation Wave is made into a just transition towards affordable and sustainable housing therefore requires an in-depth study into distributive, recognitional and procedural justice. Only then can those intertwining dimensions be addressed in policies.   [1] To illustrate his thesis, he introduces the ‘veil of ignorance’: what if we may redefine the social scheme, but without knowing our own place? Rawls believes that most people, whether from self-interest or not, would envision a society with political rights for all and limited economic and social inequality.  

Created on 03-06-2022 | Update on 06-06-2022

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Performance Gap in Retrofit

Author: S.Furman (ESR2)

Area: Design, planning and building

The performance gap in retrofit refers to the disparity between the predicted and actual energy consumption after a retrofit project, measured in kWh/m2/year. This discrepancy can be substantial, occasionally reaching up to five times the projected energy usage (Traynor, 2019). Sunikka-Blank & Galvin (2012) identify four key factors as contributing to the performance gap: (1) the rebound effect, (2) the prebound effect, (3) interactions of occupants with building components, and (4) the uncertainty of building performance simulation outcomes. Gupta & Gregg (2015) additionally identify elevated building air-permeability rates as a factor leading to imbalanced and insufficient extract flowrates, exacerbating the performance gap. While post occupancy evaluation of EnerPhit—the Passivhaus Institut certification for retrofit—has shown far better building performance in line with predictions, the human impact of building users operating the building inefficiently will always lead to some sort of performance gap (Traynor, 2019, p. 34). Deeper understanding of the prebound effect and the rebound effect can improve energy predictions and aid in policy-making (Galvin & Sunikka-Blank, 2016). Therefore, the ‘prebound effect’ and the ‘rebound effect’, outlined below, are the most widely researched contributors to the energy performance gaps in deep energy retrofit.   Prebound Effect The prebound effect manifests when the actual energy consumption of a dwelling falls below the levels predicted from energy rating certifications such as energy performance certificates (EPC) or energy performance ratings (EPR). According to Beagon et al. (2018, p.244), the prebound effect typically stems from “occupant self-rationing of energy and increases in homes of inferior energy ratings—the type of homes more likely to be rented.” Studies show that the prebound effect can result in significantly lower energy savings post-retrofit than predicted and designed to achieve (Beagon et al., 2018; Gupta & Gregg, 2015; Sunikka-Blank & Galvin, 2012). Sunikka-Blank & Galvin’s (2012) study compared the calculated space and water heating energy consumption (EPR) with the actual measured consumption of 3,400 German dwellings and corroborated similar findings of the prebound effect in the Netherlands, Belgium, France, and the UK. Noteworthy observations from this research include: (1) substantial variation in space heating energy consumption among dwellings with identical EPR values; (2) measured consumption averaging around 30% lower than EPR predictions; (3) a growing disparity between actual and predicted performance as EPR values rise, reaching approximately 17% for dwellings with an EPR of 150 kWh/m²a to about 60% for those with an EPR of 500 kWh/m²a (Sunikka-Blank & Galvin, 2012); and (4) a reverse trend occurring for dwellings with an EPR below 100 kWh/m²a, where occupants consume more energy than initially calculated in the EPR, referred to as the rebound effect. Galvin & Sunikka-Blank (2016) identify that a combination of high prebound effect and low income is a clear indicator of fuel poverty, and suggest this metric be utilised to target retrofit policy initiatives.   Rebound Effect The rebound effect materializes when energy-efficient buildings consume more energy than predicted. Occupants perceive less guilt associated with their energy consumption and use electrical equipment and heating systems more liberally post-retrofit, thereby diminishing the anticipated energy savings (Zoonnekindt, 2019). Santangelo & Tondelli (2017) affirm that the rebound effect arises from occupants’ reduced vigilance towards energy-related behaviours, under the presumption that enhanced energy efficiency in buildings automatically decreases consumption, regardless of usage levels and individual behaviours. Galvin (2014) further speculates several factors contributing to the rebound effect, including post-retrofit shifts in user behaviour, difficulties in operating heating controls, inadequacies in retrofit technology, or flawed mathematical models for estimating pre- and post-retrofit theoretical consumption demand. The DREEAM project, funded by the European Union, discovered instances of electrical system misuse in retrofitted homes upon evaluation (Zoonnekindt, 2019). A comprehensive comprehension of the underlying causes of the rebound effect is imperative for effective communication with all retrofit stakeholders and for addressing these issues during the early design stages.   Engaging residents in the retrofit process from the outset can serve as a powerful strategy to mitigate performance gaps. Design-thinking (Boess, 2022), design-driven approaches (Lucchi & Delera, 2020), and user-centred design (Awwal et al., 2022; van Hoof & Boerenfijn, 2018) foster socially inclusive retrofit that considers Equality, Diversity, and Inclusion (EDI). These inclusive approaches can increase usability of technical systems, empower residents to engage with retrofit and interact with energy-saving technology, and enhance residents’ energy use, cultivating sustainable energy practices as habitual behaviours. Consequently, this concerted effort not only narrows the performance gap but simultaneously enhances overall wellbeing and fortifies social sustainability within forging communities.

Created on 08-09-2023 | Update on 01-12-2023

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Social Value

Author: L.Ricaurte (ESR15)

Area: Community participation

Social value (SV) is a wide-ranging concept that encompasses the wider economic, social and environmental well-being impacts of a specific activity. Given its applicability across various sectors, diverse interpretations and definitions exist, often leading to its interchangeable use with other terms, such as social impact. This interchangeability makes it difficult to establish a universally accepted definition that satisfies all stakeholders, contributing to the term’s adaptability and to a variety of methods for identification, monitoring, measurement and demonstration. Nevertheless, common themes emerge from literature definitions. First, SV involves maximizing benefits for communities and society beyond an organisation's primary goals, which requires innovation and a focus that goes beyond financial values. It is often referred to as the added value of an intervention. Second, the short-, medium- and long-term effects of activities, as well as their broader community reach, need to be assessed in terms of a life-cycle project perspective. Thirdly, SV aligns with the triple bottom line of sustainability, which underlines social, environmental and economic considerations in well-being. In the UK, SV gained prominence with the introduction of the Public Services (Social Value) Act 2012. This legislation mandates organisations commissioning public services to consider and account for the wider impacts of their operations (UK Government 2012; UKGBC, 2020, 2021). The Act has provided incentives to quantitatively measure the impact of projects on communities and standardise approaches in the built environment, a sector that has been significantly influenced by this regulatory framework. Organisations such as the UK Green Building Council (UKGBC) have played a crucial role in shaping a common agenda through reports such as Delivering Social Value: Measurement (2020) and Framework for Defining Social Value (2021), which set out the steps needed to determine social value. Recognising that SV is strongly influenced by contextual factors, these publications emphasize the challenge for formulating an all-encompassing definition. Instead, they advocate for focusing efforts on developing context-specific steps and methods for measurement.     However, the existing literature is mainly concerned with SV during the procurement and construction phases, overlooking the SV of buildings during the use phase and the potential opportunities and benefits they offer to users. This bias is due to the construction sector's rapid response to the Act and its easier access to certain types of information. This influences the prominence of certain data in project’s impact assessments and SV reports, such as employment opportunities, training, placements, and support of local supply chains through procurement. More intangible outcomes such as community cohesion, quality of life improvements, enhanced social capital, cultural preservation, empowerment and long-term social benefits are rarely featured as they are deemed more challenging to quantify due to their subjective or qualitative nature. Similarly, there remains a lack of clarity and consensus regarding a standardised approach to assessing the added value created. The challenge stems from diverse interpretations of value among stakeholders, influenced by their unique interests and activities. Communicating something inherently subjective becomes particularly daunting due to these varying perspectives. Additionally, translating all outcomes into financial metrics is also problematic. This is primarily due to the unique circumstances that characterise each development and community, making it impractical to hastily establish targets and universal benchmarks for their assessment. (Raiden et al., 2018; Raiden & King, 2021a, 2023). This complexity is recognised by Social Value UK (2023: n.p.), stating: “Social value is a broader understanding of value. It moves beyond using money as the main indicator of value, instead putting the emphasis on engaging people to understand the impact of decisions on their lives.” Moreover, the growing significance and momentum that SV is gaining are evident in the emergence of analogous legislations that have appeared in recent years and that have a direct influence on shaping how the built environment sector operates in their respective countries. Noteworthy examples of social value-related regulations include the Well-being of Future Generations Act 2015 in Wales; the Procurement Reform Act 2014 in Scotland; the social procurement frameworks in Australia; the Community Benefit Agreements in Canada; the Government Procurement Rules in New Zealand; and the Environmental, Social, and Governance (ESG) criteria considered in various countries around the world, among others.   Identifying and measuring social value SV should be an integral aspect of project development and, therefore, must be considered from the early stages of its conception, taking into account the entire lifecycle. The literature highlights a three-step process for this: 1) identifying stakeholders, 2) understanding their interests, and 3) agreeing on intended outcomes (UKGBC 2020, 2021). More recently, Raiden & King (2021b) linked the creation of SV to the achievement of the United Nations Sustainable Development Goals (SDGs). In the context of the built environment, SV can contribute to reporting on the SDGs, elevating the value the sector creates to society onto the international agenda (Caprotti et al., 2017; United Nations, 2017). While SDG 11 “Make cities and human settlements inclusive, safe, resilient and sustainable”, is often placed within the remit of the built environment, SV programmes developed by social housing providers, for example, extend the sector’s impact beyond SDG 11, covering a broader range of areas  (Clarion Housing Group, 2023; Peabody, 2023). This aspect is also echoed in the Royal Institute of British Architects (RIBA) Sustainable Outcomes Guide, which links the SDGs to specific outcomes, including the creation of SV (Clark & HOK, 2019). Over the past decade, various methodologies have been proposed to undertake the intricate task of assessing value beyond financial metrics, drawing inspiration from the work of social enterprises. Among the most prominent and widely adopted by diverse stakeholders in the sector are the Social Return on Investment (SROI), Cost-Benefit Analysis (CBA) — sometimes referred to as SCBA when given the social epithet—, and the well-being valuation approach. (Fujiwara & Campbell, 2011; Trotter et al., 2014; Watson et al., 2016; Watson & Whitley, 2017). The widespread implementation of these approaches can be explained by the development of tools such as the UK Social Value Bank, linked to the well-being valuation method. This tool, used to monetise ‘social impacts’, is endorsed by influential stakeholders in the UK’s housing sector, including HACT (2023), or the Social Value Portal and National TOMs (Themes, Outcomes and Measures) (Social Value Portal 2023). In the measuring of SV, these methodologies unanimously emphasize the importance of avoiding overclaiming or double-counting outcomes and discounting the so-called deadweight, which refers to the value that would have been created anyway if the intervention had not taken place, either through inertia or the actions of other actors. While the development of these approaches to measuring SV is pivotal for advancing the social value agenda, some critics contend that there is an imbalance in presenting easily quantifiable outcomes, such as the number of apprenticeships and jobs created, compared to the long-term impact on the lives of residents and communities affected by projects. This discrepancy arises because these easily quantifiable metrics are relatively simpler to convert into financial estimates. Steve Taylor (2021), in an article for The Developer, pointed out that the methods employed to measure social value, coupled with the excessive attention given to monetisation and assigning financial proxy values to everything, may come at the expense of playing down the bearing of hard-to-measure well-being outcomes: “As long as measurement of social value is forced into the economist’s straightjacket of cost-benefit analysis, such disconnects will persist. The alternative is to ask what outcomes people and communities actually want to see, to incorporate their own experiences and perspectives, increase the weighting of qualitative outcomes and wrap up data in narratives that show, holistically, how the pieces fit together. We loosen the constraints of monetisation by mitigating the fixed sense of value as a noun; switching focus to its role as an active verb – to ‘value’ – measuring what people impacted by changes to their built environment consider important or beneficial.” The process of comprehensively measuring and reporting on SV can be challenging, time-consuming and resource-intensive. It is therefore important that stakeholders truly understand the importance of this endeavour and appreciate the responsibilities it entails. Recently, Raiden and King (2021a, 2023) have highlighted the use of a mixed-methods approach for assessing SV, proposing it as a strategy that can offer a more thorough understanding of the contributions of actors in the field. They argue that an assessment incorporating qualitative methods alongside the already utilized quantitative methods can provide a better picture of the added value created by the sector. These advancements contribute to the overarching goal of showcasing value and tracking the effects of investments and initiatives on people's well-being. Nevertheless, a lingering question persists regarding the feasibility of converting all outcomes into monetary values. Social value in architecture and housing design In the field of architecture, the RIBA, in collaboration with the University of Reading, took a significant step by publishing the Social Value Toolkit for Architecture (Samuel, 2020). This document provides a set of recommendations and examples, emphasizing why architects should consider the SV they create and providing guidance on how to identify and evaluate projects, incorporating techniques such as Post-Occupancy Evaluation. This is a remarkable first step in involving architects in the SV debate and drawing attention to the importance of design and the role of architecture in creating value (Samuel, 2018). More recently, Samuel (2022:76) proposed a definition of SV in housing that places the well-being of residents at the centre of the discussion. Accordingly, SV lies in “fostering positive emotions, whether through connections with nature or offering opportunities for an active lifestyle, connecting people and the environment in appropriate ways, and providing freedom and flexibility to pursue different lifestyles (autonomy).” In this context, it is also relevant to highlight the work of the Quality of Life Foundation (QoLF) & URBED, who published The Quality of Life Framework (URBED, 2021). This evidence-based framework identifies six themes in the built environment crucial for assessing relationships between places and people:  control, health, nature, wonder, movement, and community. More recently, Dissart & Ricaurte (2023) have proposed the capability approach as a more comprehensive conceptual basis for the SV of housing. This approach expands the work of the QoLF, focusing the discussion on the effective freedoms and opportunities that the built environment, specifically housing, offers its inhabitants. It serves as a means to gauge the effectiveness of housing solutions and construe SV.

Created on 16-11-2023 | Update on 08-12-2023

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