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The Distribution of Domestic Energy-Tech
in Great Britain: 2008 – 2011
Dr Ben Anderson

Research & Policy Workshop I
17th December 2013
@dataknut
@dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011

Contents
 Why bother?
 Meet the data
 Distributions
 Factors predicting adoption
 Summary

2
@dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011

Contents
 Why bother?

 Meet the data
 Distributions

 Factors predicting adoption
 Summary

3
@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
@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
@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
6
BHPS Wave 18

2,500

2011_03

2011

2011_02

2011_01

✔

2010_12

2010_11

2010_10

2010_09

2010_08

2010

2010_07

✔

2010_06

2010_05

2010_04

2010_03

2010_02

2010_01

2009

2009_12

2009_11

2009_10

2009_09

2009_08

2009_07

2009_06

2008

2009_05

2009_04

2009_03

2009_02

2009_01

2008_12

2008_11

2008_10

2008_09

N households

@dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011

Meet the Data
2012
2013

✔
✔

4,000

3,500

3,000

We are here!

2,000

1,500

1,000

500

0

USOC Wave 1

7
@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?
8
@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
@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
@dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011

Contents
 Why bother?

 Meet the data
 Distributions

 Factors predicting adoption
 Summary

11
@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

12
@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
@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
@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
@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
@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

17
@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
@dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011

Contents
 Why bother?

 Meet the data
 Distributions

 Factors predicting adoption
 Summary

19
@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
@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
@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
@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
@dataknut: The Distribution of Domestic Energy-Tech in Great Britain: 2008 - 2011

Contents
 Why bother?

 Meet the data
 Distributions

 Factors predicting adoption
 Summary

24
@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
25
@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…
26
@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

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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 6
  • 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? 8
  • 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 12
  • 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 17
  • 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 25
  • 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… 26
  • 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

  1. Mention 2011 cases added to December 2010 (spill over)Uptake low (flat?)Sings of flattening of ‘thinking about’?
  2. Clear (equivalised) income pattern in 2011 for ‘has’ – substantial income differentiation for ‘thinking about’ too.
  3. Clear (equivalised) income pattern in 2011 for ‘has’ – substantial income differentiation for ‘thinking about’ too.
  4. 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
  5. 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
  6. 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?
  7. Clear effects for rural esp. recently (PV?)