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Energy poverty in Europe
and its relationship to the
Energy Union strategy
Dr Harriet Thomson
Professor Stefan Bouzarovski
Dr Saska Petrova
Dr Neil Simcock
University of Manchester
What	is	energy	poverty?	
When	a	household	is	unable	to	secure	materially-	
and	socially-necessitated	levels	of	domes6c	energy	
services	(Bouzarovski	and	Petrova,	2015)	
Core	drivers	include:	
•  Energy	needs	and	prac@ces	
•  Affordability	and	ability	to	access	cheaper	fuels	
•  Efficiency	of	built	fabric	and	equipment	
•  Household	income	
•  Policy	marginalisa@on
EVALUATE	project	
•  Energy	Vulnerability	and	Urban	Transi@ons	in	Europe	
(EVALUATE)	www.urban-energy.org	
•  Five-year	European	Research	Council	funded	project	
•  Aims	to	establish	the	driving	forces	of	urban	energy	
poverty	in	the	post-socialist	states	of	Eastern	and	
Central	Europe	
•  Mul@-scalar:	ins@tu@ons,	households,	and	buildings	
•  Mul@-methods:	interviews,	energy	diaries,	local	
surveys,	sta@s@cal	modelling	and	more
EVALUATE:	An	urban	
and	neighbourhood	
level	approach	
•  Focusing	on	dynamics	within	
two	inner-city	
neighbourhoods,	while:	
•  Exploring	na@onal	and	city-
level	processes		
•  Local	support	(Gdansk	
University,	Charles	
University,	CEU,	CUW,	Ss.	
Cyril	and	Methodius	
University)
A	po?ed	history…	
•  1979	-	Bri@sh	civil	servants	iden@fied	the	issue	
•  1991	-	Brenda	Boardman	published	her	seminal	book	
•  2001	-	Concerns	first	raised	at	the	EU-level	in	an	ECSC	
opinion	document	
•  2003	-	Explicit	recogni@on	given	to	household	
customers	in	revised	gas/electricity	market	direc@ves	
•  2009	-	Energy	poverty	given	legal	recogni@on	in	3rd	
energy	package	
•  2016	–	ongoing	Energy	Union	reviews,	opportunity	to	
further	incorporate	energy	poverty	measures
UK	(2001-2013):	
“A	household	is	said	to	be	in	fuel	poverty	if	it	
needs	to	spend	more	than	10%	of	its	income	
on	fuel	to	maintain	an	adequate	level	of	
warmth”		
	
England	(new	LIHC	2013-):	
A	household	is	said	to	be	in	fuel	poverty	if	it	
1.	has	required	fuel	costs	that	are	above	
average	(the	na@onal	median	level)		
2.	were	they	to	spend	that	amount,	they	
would	be	lec	with	a	residual	income	below	
the	official	poverty	line	(60%	median	
income)	
	
Ireland	(2016-):	
“…a	household	that	spends	more	than	10%	
of	their	income	on	energy	is	considered	to	be	
in	energy	poverty.”		
	
(Department	of	Communica@ons,	Energy	&	
Natural	Resources,	2016:	8).		
France	(2009-):	
A	person	is	considered	fuel	poor	"if	he/she	
encounters	par@cular	difficul@es	in	his/her	
accommoda@on	in	terms	of	energy	supply	
related	to	the	sa@sfac@on	of	elementary	
needs,	this	being	due	to	the	inadequacy	of	
financial	resources	or	housing	condi@ons”	
	
Slovakia	(2015-):	
“Energy	poverty	under	the	law	No.	250/2012	Coll.	Of	Laws	is	a	status	when	average	
monthly	expenditures	of	household	on	consump@on	of	electricity,	gas,	hea@ng	and	hot	
water	produc@on	represent	a	substan@al	share	of	average	monthly	income	of	the	
household”	(Strakova,	2014:	3).
Pan-European	data	context	
•  No	dedicated	survey	of	energy	poverty	
•  Main	data	source	is	the	EU	Sta@s@cs	on	Income	and	
Living	Condi@ons:	
1)  Ability	to	afford	to	keep	the	home	warm	
2)  Leaking	roof,	damp,	and/or	rot	in	home	
3)  Arrears	on	u@lity	bills	in	the	last	12	months	
•  As	well	as	Household	Budget	Surveys	
•  Provides	actual	expenditure	data	at	na@onal	level	
•  Not	currently	standardised	across	Europe
Core	EU-SILC	Index	of	Fuel	Poverty	(CIFP)	
•  Previous	research	has	combined	indicators	at	the	
country-level	to	produce	single	composite	scores	
(Healy	&	Clinch,	2002;	Thomson	&	Snell,	2013)	
•  The	interrela@on	of	indicators	at	the	household-
level	is	under-explored	
•  CIFP	is	a	summa@ve	index	that	adds	up	the	
number	of	EU-SILC	indicators	reported,	with	a	
possible	range	of	0	–	3	
•  First	pan-EU	household-level	index	of	energy	
poverty	severity
CorrelaUons	between	EU-SILC	indicators	
•  Moderate	associa@ons	between	the	core	variables		
•  The	fact	they	are	not	highly	correlated	suggests	that	
the	variables	are	capturing	different	aspects	of	energy	
poverty	
U@lity	arrears	 Leak/damp/rot	 Cannot	afford	warm	home	
U@lity	arrears	 1.00	 .35	 .47	
Leak/damp/rot	 .35	 1.00		 .39	
Cannot	afford	warm	home	 .47	 .39	 1.00		
Tetrachoric	correla@on	coefficient	matrix	of	key	EU-SILC	indicators		
Data:	EU-SILC	2007	Cross	Sec@onal		
All	correla@ons	are	sta@s@cally	significant	at	the	p	<	.001	level
Country	
Number	of	indicators	reported	(%	of	households)	
One	 Two	 Three	
Austria	 15.6	 2.6	 0.3	
Belgium	 20.2	 4.0	 0.6	
Bulgaria	 42.8	 25.3	 6.4	
Cyprus	 30.4	 15.2	 3.0	
Czech	Republic	 15.5	 2.4	 0.3	
Denmark	 10.5	 1.2	 0.1	
Estonia	 22.4	 3.8	 0.6	
Finland	 10.4	 0.9	 0.1	
France	 15.8	 3.4	 0.7	
Germany	 15.4	 2.7	 0.5	
Greece	 26.8	 8.8	 2.5	
Hungary	 23.2	 10.5	 3.3	
Ireland	 19.4	 4.8	 0.8	
Italy	 23.2	 6.3	 1.6	
Latvia	 31.7	 13.5	 3.0	
Lithuania	 31.3	 9.8	 1.9	
Luxembourg	 16.4	 0.8	 0.0	
Malta	 22.1	 4.8	 0.3	
Netherlands	 16.3	 1.6	 0.2	
Poland	 22.2	 7.6	 2.3	
Portugal	 32.6	 11.2	 1.2	
Romania	 29.1	 11.6	 4.6	
Slovakia	 15.1	 2.1	 0.5	
Slovenia	 32.1	 9.9	 1.4	
Spain	 24.0	 4.2	 0.5	
Sweden	 11.1	 1.2	 0.1	
United	Kingdom	 16.5	 3.6	 0.5
Country	rankings	-	2010	
2010	Equal	 2010	Severity	
Finland	 1	 1	
Denmark	 2	 2	
Sweden	 3	 3	
Luxembourg	 4	 4	
Slovakia	 5	 6	
Netherlands	 6	 5	
Czechia	 7	 7	
Austria	 8	 8	
Germany	 9	 9	
France	 10	 10	
UK	 11	 11	
Belgium	 12	 12	
Ireland	 13	 13	
Estonia	 14	 14	
Malta	 15	 15	
Spain	 16	 16	
Italy	 17	 17	
Poland	 18	 18	
Hungary	 19	 20	
Greece	 20	 19	
Lithuania	 21	 22	
Slovenia	 22	 21	
Portugal	 23	 23	
Romania	 24	 24	
Latvia	 25	 25	
Cyprus	 26	 26	
Bulgaria	 27	 27	
Key:	
a	=	%	of	households	repor@ng	1	indicator	
b	=	%	of	households	repor@ng	2	indicators	
c	=	%	of	households	repor@ng	3	indicators	
Scenario	1	-	Equal	weighUng:	
0.3333	a	+	0.3333	b	+	0.3333	c	
Scenario	2	-	Severity	weighUng:	
0.1667	a	+	0.3333	b	+	0.5000	c	
•  The	CIFP	has	been	compared	with	official	UK	
measures	of	energy	poverty,	and	shows	good	
face	validity,	par@cularly	with	the	10%	defini@on	
•  Posi@ve	associa@on	between	income	poverty	
and	CIFP,	with	a	strong	income	disparity:	
Number	of	CIFP	indicators	
Median	disposable	household	
income	(EU27)	
0	 €24,245.00	
1	 €17,000.00	
2	 €10,800.00	
3	 €8,073.00
Regions	at	risk	
•  52	million	+	households	in	EU27	
(Thomson,	2015)	
•  Reflects	exis@ng	regional	structural	
inequali@es	(Bouzarovski	and	Tirado	
Herrero,	2015)	
•  Southern,	Central	and	Eastern	Europe	
most	at	risk	of	energy	poverty	
2010	Equal	 2010	Severity	
Finland	 1	 1	
Denmark	 2	 2	
Sweden	 3	 3	
Luxembourg	 4	 4	
Slovakia	 5	 6	
Netherlands	 6	 5	
Czechia	 7	 7	
Austria	 8	 8	
Germany	 9	 9	
France	 10	 10	
UK	 11	 11	
Belgium	 12	 12	
Ireland	 13	 13	
Estonia	 14	 14	
Malta	 15	 15	
Spain	 16	 16	
Italy	 17	 17	
Poland	 18	 18	
Hungary	 19	 20	
Greece	 20	 19	
Lithuania	 21	 22	
Slovenia	 22	 21	
Portugal	 23	 23	
Romania	 24	 24	
Latvia	 25	 25	
Cyprus	 26	 26	
Bulgaria	 27	 27
Regions	at	risk	
•  52	million	+	households	in	EU27	
(Thomson,	2015)	
•  Reflects	exis@ng	regional	structural	
inequali@es	(Bouzarovski	and	Tirado	
Herrero,	2015)	
•  Southern,	Central	and	Eastern	Europe	
most	at	risk	of	energy	poverty	
2010	Equal	 2010	Severity	
Finland	 1	 1	
Denmark	 2	 2	
Sweden	 3	 3	
Luxembourg	 4	 4	
Slovakia	 5	 6	
Netherlands	 6	 5	
Czechia	 7	 7	
Austria	 8	 8	
Germany	 9	 9	
France	 10	 10	
UK	 11	 11	
Belgium	 12	 12	
Ireland	 13	 13	
Estonia	 14	 14	
Malta	 15	 15	
Spain	 16	 16	
Italy	 17	 17	
Poland	 18	 18	
Hungary	 19	 20	
Greece	 20	 19	
Lithuania	 21	 22	
Slovenia	 22	 21	
Portugal	 23	 23	
Romania	 24	 24	
Latvia	 25	 25	
Cyprus	 26	 26	
Bulgaria	 27	 27	
Southern	Europe:	
•  Whilst	more	temperate,	indoor	hea@ng	is	
required	at	various	points	throughout	the	year	
•  Poor	energy	efficiency	standards	
•  Challenging	macroeconomic	circumstances	and	
prolonged	fiscal	austerity	=		
–  Real	loss	of	household	income	
–  Cuts	in	financing	for	energy-related	infrastructure	
•  High	levels	of	dependence	on	imported	energy	in	
island	states	of	Cyprus	and	Malta	
•  Growing	electrifica@on	for	indoor	cooling	and	
appliances
Regions	at	risk	
•  52	million	+	households	in	EU27	
(Thomson,	2015)	
•  Reflects	exis@ng	regional	structural	
inequali@es	(Bouzarovski	and	Tirado	
Herrero,	2015)	
•  Southern,	Central	and	Eastern	Europe	
most	at	risk	of	energy	poverty	
2010	Equal	 2010	Severity	
Finland	 1	 1	
Denmark	 2	 2	
Sweden	 3	 3	
Luxembourg	 4	 4	
Slovakia	 5	 6	
Netherlands	 6	 5	
Czechia	 7	 7	
Austria	 8	 8	
Germany	 9	 9	
France	 10	 10	
UK	 11	 11	
Belgium	 12	 12	
Ireland	 13	 13	
Estonia	 14	 14	
Malta	 15	 15	
Spain	 16	 16	
Italy	 17	 17	
Poland	 18	 18	
Hungary	 19	 20	
Greece	 20	 19	
Lithuania	 21	 22	
Slovenia	 22	 21	
Portugal	 23	 23	
Romania	 24	 24	
Latvia	 25	 25	
Cyprus	 26	 26	
Bulgaria	 27	 27	
Southern	Europe:	
•  Whilst	more	temperate,	indoor	hea@ng	is	
required	at	various	points	throughout	the	year	
•  Poor	energy	efficiency	standards	
•  Challenging	macroeconomic	circumstances	and	
prolonged	fiscal	austerity	=		
–  Real	loss	of	household	income	
–  Cuts	in	financing	for	energy-related	infrastructure	
•  High	levels	of	dependence	on	imported	energy	in	
island	states	of	Cyprus	and	Malta	
•  Growing	electrifica@on	for	indoor	cooling	and	
appliances	
Central	and	Eastern	Europe:	
•  Demise	of	communism	brought	about	rapid	and	
substan@al	restructuring	to	move	towards	a	
market-based	economy	
•  Measures	included	fiscal	austerity,	widespread	
priva@sa@on,	and	deregula@on	of	the	economy	
•  Income	inequali@es	and	decreased	purchasing	
power	
•  Very	poor	housing	stock	quality	
•  Liberalisa@on	of	energy	markets	resulted	in	
removal	of	subsidies	but	without	corresponding	
safety	nets	
–  Caused	significant	increases	in	the	cost	of	hea@ng	and	
other	energy	services	
–  Issues	of	non-payment	of	u@lity	bills
Energy	poverty	in	post-socialist	CEE	
Czech	Republic	vs	Hungary	vs	Poland	
0%	
5%	
10%	
15%	
20%	
25%	
30%	
35%	
2005	 2006	 2007	 2008	 2009	 2010	 2011	 2012	
%	households	
PL	
HU	
CZ	
Percentage	of	households	spending	more	than	20%	of	their	income	on	
domes@c	energy	(equivalised	units),	2005-2012	
Bouzarovski	and	Tirado	Herrero	(2016)
A	domesUc	energy	affordability	gap		
Household	incomes	vs	energy	expenditures	in	Hungary	
Domes@c	energy	price	index,	infla@on	rate	and	rate	of	increase	in	earnings;	
	Hungary,	1992-2013	
Purchasing	
power	gains	
Domes@c	energy	
affordability	gap	
Bouzarovski	et	al.	(2015)
Natural	gas	–	a	‘price	hike’	
The	growing	per	unit	cost	of	an	imported	fuel	
Price	indices	of	main	domes@c	energy	carriers,	infla@on	rate	and	rate	of	
increase	in	wages	and	pensions;	Hungary,	2000-2013	
Bouzarovski	et	al.	(2015)
Further	EVALUATE	findings	
•  Energy	poverty	is	complex	and	dynamic,	varying	
spa@ally	and	temporally	
•  Summer@me	cooling	is	a	significant	issue	
•  Some	households	are	switching	to	tradi@onal	fuels,	
such	as	firewood,	as	a	coping	mechanism	
•  Typologies	that	challenge	no@ons	of	vulnerability:	
•  Short-term	residents	-	ocen	renters	and	in	early	adulthood	
•  Working	age	families	-	ocen	in	full	employment	and	with	
school-aged	children	
•  Highly	educated	households	in	poor	quality	and/or	
expensive	housing
Moving	forward	-	policy	
•  Need	to	recognise	specific	energy	needs	and	all	
energy	services	(especially	cooling)	
•  Focus	on	other	energy	carriers,	e.g.	hea@ng	oil	
•  Monitor	MS	vulnerable	customer	defini@ons	
•  Adopt	a	broad	EU	defini@on	of	energy	poverty	
•  Include	energy	poverty	in	impact	assessments		
•  Review	&	address	gaps	in	3rd	energy	package	
•  Holis@c	approach,	with	focus	on	long-term	
allevia@on	via	infrastructural	investments
Moving	forward	-	data	
•  Radically	improve	EU	indicators	to	enhance	
our	understanding	of	energy	poverty	
•  See	Thomson	and	Snell	(2014)	for	recommenda@ons	
•  Could	include	repor@ng	requirements	for	MS	and	support	
improved	data	mechanisms		
•  Increase	technical	and	scien@fic	capacity	
•  Promote	data	sharing	and	progression	beyond	
state-of-the-art:	
•  Data4Ac@on	–	good	example	of	data	sharing	
•  EUFPN	htp://fuelpoverty.eu/findresource/	(350+	ar@cles)
Thank	you	
www.urban-energy.org	|	
www.fuelpoverty.eu	
	
@harrimus	
@stefanbuzar	
@curemanchester
Further	reading	
•  Bouzarovski,	S.,	and	Petrova,	S.	(2015).	A	global	perspec@ve	on	domes@c	energy	depriva@on:	
Overcoming	the	energy	poverty–fuel	poverty	binary.	Energy	Research	&	Social	Science,	10:	31-40.	
htp://www.sciencedirect.com/science/ar@cle/pii/S221462961500078X		
•  Bouzarovski,	S.,	and	Tirado	Herrero,	S.	(2015).	The	energy	divide:	Integra@ng	energy	transi@ons,	
regional	inequali@es	and	poverty	trends	in	the	European	Union.	European	Urban	and	Regional	
Studies,	DOI:10.1177/0969776415596449		
•  Bouzarovski,	S.,	Tirado	Herrero,	S.,	Petrova,	S.,	and	Ürge-Vorsatz,	D.	(2015).	Unpacking	the	spaces	
and	poli@cs	of	energy	poverty:	path-dependencies,	depriva@on	and	fuel	switching	in	post-
communist	Hungary.	Local	Environment,	DOI:10.1080/13549839.2015.1075480.		
•  Thomson,	H.,	Snell,	C.,	and	Liddell,	C.	(2016).	Fuel	poverty	in	the	European	Union:	a	concept	in	
need	of	defini@on?	People,	Place	and	Policy.	Available	at:	
htp://extra.shu.ac.uk/ppp-online/fuel-poverty-in-the-european-union-a-concept-in-need-of-
defini@on/		
•  Thomson,	H.	(2015).	Exploring	the	incidence	and	intensity	of	fuel	poverty	in	the	EU.	Available	at:	
•  htp://urban-energy.org/2015/07/02/workshop-report-fuel-poverty-and-energy-vulnerability-in-
europe/.		
•  Thomson,	H.,	and	Snell,	C.	(2014).	Fuel	Poverty	Measurement	in	Europe:	a	Pilot	Study.	University	
of	York.	Available	at:	
htp://fuelpoverty.eu/wp-content/uploads/2014/06/Fuel-Poverty-Measurement-in-Europe-Final-
report-v2.pdf

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