REBOUND EFFECT FOR PRIVATE TRANSPORT AND ENERGY SERVICES IN THE UK - - PowerPoint PPT Presentation

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REBOUND EFFECT FOR PRIVATE TRANSPORT AND ENERGY SERVICES IN THE UK - - PowerPoint PPT Presentation

REBOUND EFFECT FOR PRIVATE TRANSPORT AND ENERGY SERVICES IN THE UK IAEE European Conference, Vienna, September 3-6, 2017 Mona Chitnis (University of Surrey) Roger Fouquet (LSE) Steve Sorrell (University of Sussex) Outline Rebound


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SLIDE 1

REBOUND EFFECT FOR PRIVATE TRANSPORT AND ENERGY SERVICES IN THE UK

Mona Chitnis (University of Surrey) Roger Fouquet (LSE) Steve Sorrell (University of Sussex) IAEE European Conference, Vienna, September 3-6, 2017

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SLIDE 2

Outline

  • Rebound mechanisms
  • Data overview
  • Model
  • Results
  • Discussion
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SLIDE 3

Lower running cost for heating Lower heating cost and fuel bills Lighting

Less emissions More emissions

Higher room temperature or leaving the heating on for longer

Rebound mechanisms for households

Direct Rebound Indirect Rebound

More or less emissions

Total Rebound=Direct Rebound+Indirect Rebound

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SLIDE 4

Energy Price (e.g. pence per kWh) Data Sources (e.g. BEIS, ONS) Energy Service Price (e.g. £ per lumen-hour) Energy Efficiency (e.g. lumen-hours per kWh) Energy Service Consumption (e.g. millions of lumen-hours) Energy Consumption (e.g. TWh for lighting)

 / p p

E S 

E S   

Measuring energy service price and Consumption

pE

E

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SLIDE 5

Energy services in this presentation

Lighting Heating Wet and cold appliances Electronics and computing Cooking Car

5

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SLIDE 6

Average efficiency by energy service in the UK 1964-2015 (index, 1964=100)

6

0% 200% 400% 600% 800% 1000% 1200% 1400% 0% 50% 100% 150% 200% 250% 300% 350% 400% 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Electronics & computing (1964=100) Lighting, Heating, Wet & cold, Cooking, Car (1964=100) Lighting Heating Wet & cold appliances Cooking Car transport Electronics & computing

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SLIDE 7

7

Real price of energy services (index, 1964=100) Real price of energy for services (index, 1964=100)

20 40 60 80 100 120 140 20 40 60 80 100 120 140 160 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015

Electronics & computing ( 1964=100) Lighting, Heating, We & cold, Cooking, Car (1964=100)

Lighting Heating Cooking Electronics & computing Wet & cold appliances Car transport

60 80 100 120 140 160 180 200

Lighting and Appliances, Cooking, Heating, Car (1964=100)

Lighting and Appliances Cooking Heating Car transport

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SLIDE 8

Consumption of energy services per equivalised person (index, 1964=100)

8

Energy consumption per equivalised person (index, 1964=100)

1000 2000 3000 4000 5000 6000 7000 50 100 150 200 250 300 350 400 450 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Electronics & computing (1964=100) Lighting, Heating, Wet & cold, Cooking, Car (1964=100)

Lighting Wet & cold appliances Cooking Heating Car transport Electronics & computing 100 200 300 400 500 600 700 800 900 1000 50 100 150 200 250 300 350 400 450 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Electronics & computing (1964=100) Lighting, Wet & cold, Cooking, Heating, Car (1964=100) Lighting Wet & cold appliances Heating Cooking Car transport Electronics & computing

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SLIDE 9

) i ( ) s (

S S

p ) s i ( i i p

  

 

Total Rebound =

where:

Total rebound estimation (in terms of CO2)

s s i i

w u w u

x x i 

Direct Indirect

: own-price elasticity of service s : cross-price elasticity of service i with respect to service s ui: CO2 intensity of service i us: CO2 intensity of service s wi: budget share of service i ws: budget share of service s

) s (

S

p

 ) i (

S

p

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SLIDE 10

Household expenditure Energy services Lighting Heating Wet and cold appliances Electronics and computing Cooking Transport Car Other transport Other goods and services

Two stage budgeting model

Stage 1 Stage 2

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SLIDE 11

Almost Ideal Demand System (AIDS)

where: wr=budget share of category r Pz=price of category z x=total expenditure per equivalised person P=Laspeyres-like price index  Adding up:  Symmetry:  Homogeneity:

   

   

r rz r rz r r r r

, , , 1    

t r z z rz z t t r zt ij r rt

t w ) P / x ln( p ln w

t

           

 

1

r rz

rz rz 

 

r, z: 1, 2, 3

r rt r L t

p ln w P ln

Stage 1:

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SLIDE 12

Almost Ideal Demand System (AIDS)

t i r j j ij r j rt rt i jt ij i r it

t w ) P / x ln( p ln w

t

           

 

 

1

i it L rt

p ln w P ln

i

Stage 2: i, j: 1, …, 4

where: wi=budget share of service i Pj=price of service j xr=total expenditure on services per equivalised person Pr=Laspeyres-like price index

  • Adding up:
  • Symmetry:
  • Homogeneity:

   

   

1 ij i ij i i i i

, , , 1    

ij ij 

 

i ij

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SLIDE 13

Elasticities for two-stage budgeting model

r i ) r ( i

E E E 

] e [ w E e e

) z )( r ( rz j ) z ( i ) r ( ij ) r ( rz ij

    

Within group elasticities: Total/between group elasticities:

r r r

w E    1

rz r z r rz rz

w w e       Income elasticity Uncompensated price elasticity Income elasticity Uncompensated price elasticity

rs

 : Kronecker’s delta

equal to one when r=s and zero elsewhere.

 UK household annual time series data 1964-2015  Iterative Seemingly Unrelated Regressions (ISUR) method for system estimation ■ Combined elasticities of stages 1 and 2 to obtain total price and expenditure elasticities for each energy and transport service (Edgerton 1997).

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SLIDE 14

Estimated average elasticities

Lighting Heating Wet & cold appliances Electronics & computing Cooking Car Expenditure elasticity 0.96 1.29 1.10 0.99 0.81 0.89

Total expenditure elasticities for energy services

Price elasticity Lighting Heating Wet & cold appliances Electronics & computing Cooking Car Lighting

  • 0.936

0.381 0.088 0.059 0.036

  • 0.037

Heating 0.040

  • 0.696

0.065 0.031 0.044

  • 0.050

Wet & cold appliances 0.050 0.343

  • 0.922

0.044 0.049

  • 0.043

Electronics & computing 0.061 0.438 0.098

  • 0.939

0.064

  • 0.039

Cooking 0.037 0.382 0.084 0.048

  • 0.917
  • 0.032

Car

  • 0.004
  • 0.03
  • 0.006
  • 0.003
  • 0.004
  • 0.54

Total price elasticities for energy services

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SLIDE 15

Estimated average rebound effects

Lighting Heating Wet & cold appliances Electronics & computing Cooking Car Lighting 93.6%

  • 39.4%
  • 8.0%
  • 5.1%
  • 3.7%

1.8% Heating

  • 3.9%

69.6%

  • 5.7%
  • 3.8%
  • 3.9%

1.4% Wet & cold appliances

  • 5.5%
  • 39.3%

92.2%

  • 5.2%
  • 5.2%

1.8% Electronics & computing

  • 7.0%
  • 35.6%
  • 8.3%

93.9%

  • 5.7%

2.0% Cooking

  • 3.6%
  • 42.7%
  • 8.0%
  • 5.5%

91.7% 1.9% Car 0.7% 9.7% 1.4% 0.7% 0.6% 54.2%

Rebound effects between energy and transport services Direct, indirect and total rebound effects for energy and transport services

Direct rebound Indirect rebound (energy and transport services only) Total rebound Lighting 93.6%

  • 54.3%

39.31% Heating 69.6%

  • 15.9%

53.68% Wet & cold appliances 92.2%

  • 53.3%

38.92% Electronics & computing 94.0%

  • 54.5%

39.40% Cooking 91.7%

  • 57.8%

33.91% Car 54.2% 13.1% 67.26%

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SLIDE 16

Discussion

  • Data assumptions and limitations
  • No backfire, but rebound is not negligible and should not be

neglected

  • Indirect rebound plays an important role
  • Direct rebound is insensitive to the estimation method/variables in

the AIDS model

  • Indirect rebound of non-energy goods is neglected
  • Average rebound over the sample period
  • rebound over the sample period
  • Comparison with rebound based on energy/transport fuel demand
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SLIDE 17

REBOUND EFFECT FOR PRIVATE TRANSPORT AND ENERGY SERVICES IN THE UK

Mona Chitnis (University of Surrey) Roger Fouquet (LSE) Steve Sorrell (University of Sussex) IAEE European Conference, Vienna, September 3-6, 2017