This document summarizes research on the distribution of domestic energy technologies in Great Britain from 2008 to 2011. It finds that adopters of these technologies tend to be home-owning residents of detached, rural homes who report environmentally friendly views and actions. Those seriously considering adoption also tend to have higher energy spending. Rejecters of these technologies are more often urban renters living in non-detached housing who report less environmentally friendly attitudes. The research finds some differences between adopters of solar PV and solar thermal technologies and highlights equity issues in the uneven distribution of benefits from these technologies.
The Distribution of Domestic Energy-Tech in Great Britain: 2008 – 2011
1. The Distribution of Domestic Energy-Tech
in Great Britain: 2008 – 2011
Dr Ben Anderson
Research & Policy Workshop I
17th December 2013
@dataknut
2. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contents
Why bother?
Meet the data
Distributions
Factors predicting adoption
Summary
2
3. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contents
Why bother?
Meet the data
Distributions
Factors predicting adoption
Summary
3
4. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Why bother?
Equity:
– Uneven distribution of benefits
Regressive:
– Benefits may accrue to the well off
Uptake may asymptote
– To something…
4
5. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contents
Why bother?
Meet the Data
Distributions (over time)
Factors predicting adoption
Summary
5
6. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Meet the Data
2008
2009
2010
✔
2011
✔
2013
2012
✔
✔
British Household Panel Survey
– Wave 18 (2008-9)
– N households = 6,500
We are here!
Understanding Society
– Waves 1-4 (2009-2013)
Data for waves 1-3 available now
Eco-Tech & Behaviours/Attitudes
– N households = 30,000
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8. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
What Energy-Tech?
Energy ‘production’
– Solar PV (electricity)
– Wind Turbines (electricity)
– Solar Thermal (hot water)
Key questions:
– Who is adopting?
– What factors predict this?
– What difference does it make?
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9. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Key variables:
Solar PV Solar Thermal Wind Turbine
Both
30%
198
13
5.05%
4.33%
2.44%
1471
828
88.51%
90.51%
94.86%
30775
32254
5.91%
4.58%
2.66%
2011
Considered
& rejected
0.04%
30095
No
0.58%
1716
Considering
0.53%
180
Energy Tech uptake
Yes
1558
905
Solar PV
only
35%
Solar
Thermal
only
35%
9
10. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Key variables
Solar PV Solar Thermal Wind Turbine
198
13
5.05%
4.33%
2.44%
1471
828
88.51%
90.51%
94.86%
30775
32254
5.91%
4.58%
2.66%
2011
Considered &
rejected
0.04%
30095
No
0.58%
1716
Considering
0.53%
180
Energy Tech uptake
Yes
1558
905
‘Environmentally friendly’
– Mean individual level actions + household level behaviours
Socio-economic
– Tenure, Occupancy, Income, education levels, energy consumption
10
11. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contents
Why bother?
Meet the data
Distributions
Factors predicting adoption
Summary
11
12. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Over time…
9.0%
16,000
8.0%
14,000
7.0%
12,000
6.0%
10,000
5.0%
8,000
4.0%
6,000
3.0%
4,000
2.0%
1.0%
2,000
0.0%
0
2008
2009
2010
N households
Have installed energy-tech
Considering installing energy-tech
Have thought about it & decided not to
Source: Own calculations of pooled BHPS (W18) & USOC (W1) GB sub-sample
Weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
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13. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Over equivalised income quartiles
2.5%
12.0%
Has energy tech
Considering energy tech
10.0%
2.0%
Equivalised income
Q4 (highest)
1.5%
Equivalised income
Q4 (highest)
8.0%
Q3
Q3
6.0%
Q2
1.0%
Equivalised income
Q1 (lowest)
0.5%
Q2
4.0%
Equivalised income
Q1 (lowest)
2.0%
0.0%
0.0%
2008
2009
2010
2008
2009
2010
Equivalised income: controls for household size (persons, OECD approach)
13
Source: Own calculations of pooled BHPS (W18) & USOC (W1) GB sub-sample weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
14. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Over accommodation type
3.00%
Has energy tech
14.00%
Considering energy tech
12.00%
2.50%
10.00%
2.00%
Detached
1.50%
8.00%
Detached
Semi-detached
Terrace
Semi-detached
6.00%
Terrace
Other
1.00%
Other
4.00%
0.50%
2.00%
0.00%
0.00%
2008
2009
2010
2008
2009
2010
Equivalised income: controls for household size (persons, OECD approach)
14
Source: Own calculations of pooled BHPS (W18) & USOC (W1) GB sub-sample weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
15. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Over tenure
1.60%
Has energy tech
12.00%
Considering energy tech
1.40%
10.00%
1.20%
8.00%
1.00%
Own
0.80%
Own
6.00%
Social rent
Social rent
Other/private rent
0.60%
Other/private rent
4.00%
0.40%
2.00%
0.20%
0.00%
0.00%
2008
2009
2010
2008
2009
2010
Confirms: DECC (2012) Identifying trends in the deployment of domestic solar PV under the Feed-in Tariff scheme
15
Source: Own calculations of pooled BHPS (W18) & USOC (W1) GB sub-sample weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
16. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Over energy consumption quartiles
2.5%
14.0%
Has energy tech
Considering energy tech
12.0%
2.0%
10.0%
Energy spend Q4
(highest)
1.5%
Q3
Energy spend Q4
(highest)
8.0%
Q3
Q2
6.0%
Q2
Energy spend Q1 (lowest)
1.0%
4.0%
Energy spend Q1 (lowest)
0.5%
2.0%
0.0%
0.0%
2008
2009
2010
2008
2009
2010
Confirms: DECC (2012) Identifying trends in the deployment of domestic solar PV under the Feed-in Tariff scheme
16
Source: Own calculations of pooled BHPS (W18) & USOC (W1) GB sub-sample weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
17. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Over ‘Environmentally friendly’ quartiles
2.5%
Has energy tech
12.0%
Considering energy tech
10.0%
2.0%
Enviro Friendly HH Q4
(highest)
1.5%
Enviro Friendly HH Q4
(highest)
8.0%
Q3
Q3
6.0%
Q2
1.0%
Enviro Friendly HH Q1
(lowest)
0.5%
Q2
4.0%
Enviro Friendly HH Q1
(lowest)
2.0%
0.0%
0.0%
2008
2009
2010
2008
2009
2010
Index: Mean of individual level scores + recycling + green electricity tariff
Source: Own calculations of pooled BHPS (W18) & USOC (W1) GB sub-sample weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
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18. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Distributions
Urban vs rural
0.12
0.025
Has energy tech
Considering energy tech
0.1
0.02
0.08
0.015
Urban
0.06
Urban
Rural
Rural
0.01
0.04
0.005
0.02
0
0
2008
2009
2010
2008
2009
2010
Confirms: DECC (2012) Identifying trends in the deployment of domestic solar PV under the Feed-in Tariff scheme
18
Source: Own calculations of USOC (W1) GB sub-sample weighted for non response and correcting for survey design
Error bars = 95% Confidence intervals
19. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contents
Why bother?
Meet the data
Distributions
Factors predicting adoption
Summary
19
20. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Adopted Energy Tech
Other effects: rural (positive)
But: low explanatory power => Lots of unexplained variance
Source: Logistic regression of BHPS (W18), USOC (W1) GB sub-sample. Error bars = 95% Confidence Intervals for coefficients
20
21. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
‘Seriously Considering’ Energy Tech
Other effects: rural (positive)
But: low explanatory power => Lots of unexplained variance
Source: Logistic regression of BHPS (W18), USOC (W1) GB sub-sample. Error bars = 95% Confidence Intervals for coefficients
21
22. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
‘Rejected’ all Energy Tech
Other effects: rural (negative)
But: low explanatory power => Lots of unexplained variance
Source: Logistic regression of BHPS (W18), USOC (W1) GB sub-sample. Error bars = 95% Confidence Intervals for coefficients
22
23. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Adopted Solar PV/Solar Thermal
Other effects: rural (positive) for Solar Thermal but not Solar PV
High explanatory power => but much captured by intercept (not shown)
And small n for adoption groups
Source: Logistic regression of BHPS (W18), USOC (W1) GB sub-sample. Error bars = 95% Confidence Intervals for coefficients
23
24. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contents
Why bother?
Meet the data
Distributions
Factors predicting adoption
Summary
24
25. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Summary
Adopters generally:
– home-owning, (large) detached & rural
– higher reported ‘enviro friendly’ views/actions
Those seriously considering generally:
– As above
– Already have some form of energy tech
– Highest energy spenders
Rejecters generally:
– Urban renters, not detached
– Lower reported ‘enviro friendly’ views/actions
– Lower energy spend
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26. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Contrasts:
Solar PV & Solar Thermal Adopters:
– Different housing type ‘effects’?
– Different income ‘effects’?
– Different ‘attitudinal’ effects
Overall:
– Emphasis on constraints over choice
– Equity issues are clear…
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27. @dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011
Thank you
Questions?
– b.anderson@soton.ac.uk
– @dataknut
http://www.energy.soton.ac.uk/esrc-sdai-attitudes
27
Editor's Notes
Mention 2011 cases added to December 2010 (spill over)Uptake low (flat?)Sings of flattening of ‘thinking about’?
Clear (equivalised) income pattern in 2011 for ‘has’ – substantial income differentiation for ‘thinking about’ too.
Clear (equivalised) income pattern in 2011 for ‘has’ – substantial income differentiation for ‘thinking about’ too.
Domination of home-owners in ‘have’ & ‘thinking about’ -> clear issues of capability/control/opportunity etcReflect on FiTs -> redistribution of wealth to better-off home owners
No clear pattern for ‘has’ – possibly higher consumers (NB – not equivalised)Higher consumers always more likely to be considering but on the rise for others too
So first movers more likely to be ‘more enviro friendly’ but only in 2010 (possibly) and definitely 2011‘Thinking about’ – higher differentiation over time – but stabilising?