PRESENTATION TO THE 37 TH ANNUAL IAEE INTERNATIONAL CONFERENCE, NEW - - PowerPoint PPT Presentation

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PRESENTATION TO THE 37 TH ANNUAL IAEE INTERNATIONAL CONFERENCE, NEW - - PowerPoint PPT Presentation

PRESENTATION TO THE 37 TH ANNUAL IAEE INTERNATIONAL CONFERENCE, NEW YORK CITY, MONDAY 16 JUNE 2014 Karen Turner, Centre for Energy, Resource and Environmental Studies (CERES), Heriot-Watt University, Edinburgh, Scotland (K.Turner@hw.ac.uk)


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SLIDE 1

PRESENTATION TO THE 37TH ANNUAL IAEE INTERNATIONAL CONFERENCE, NEW YORK CITY, MONDAY 16 JUNE 2014 Karen Turner, Centre for Energy, Resource and Environmental Studies (CERES), Heriot-Watt University, Edinburgh, Scotland (K.Turner@hw.ac.uk) Co-authored with Simon Koesler (ZEW, Mannheim, Germany) and Kim Swales (University of Strathclyde, Glasgow, Scotland)

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SLIDE 2

Potential for ‘rebound effects’ from increased energy efficiency to erode

potential/expected energy savings subject of much academic debate and policy concern

Increased efficiency in industrial/productive energy use? Rebound

trigger: lowers marginal cost of energy services

Encouraging increased use of energy service in question Lowering output price, boosting economic productivity and

competitiveness

Both in sector where efficiency improves and downstream Process of productivity-led economic growth, extent of which is

determined by conditions in economy in question

Economy-wide rebound studies, mainly using CGE techniques (and

focusing on efficiency in productive energy use) have tended to have a national focus

What if we extend focus to the global economy? Important where have policy frameworks such as EU 20-20-20 – can we

assume that energy efficiency changes in one country and energy use in

  • thers are independent?

Will rebound grow as expand boundaries of the economy?

We calculate rebound (%) as 1+(AES/PES).100, where reflect share of total energy

use affected by efficiency improvement through parameter attached to PES

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SLIDE 3

Concerned with international spillover effects Don’t get clear signals from trade theory – 2x2x2 models don’t consider

intermediates (focus on final goods/services) or changes in efficiency in use of intermediates

So need a numerical model to experiment with Here, global CGE – Germany, other EU27 (aggregated to one region in

results) and ‘rest of the world’

8 sectors per region, including 2 produced energy supply (electricity and

gas, E, and coke, refined petroleum and nuclear, CPN)

Restrictive assumptions for first step – fixed non-produced factors at

national level, no investment or excess labour supply, just mobility across sectors in response to changing returns

Model exogenous and costless increase in energy-augmenting

technological progress in KLEM production function at KE nest

Get some surprising results to try to explain: Key – rebound doesn’t rise as expand boundaries of the economy Falls – due to combination of relative competitiveness and energy supply

effects

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SLIDE 4
  • Positive supply shock giving

boost to demand for German manufacturing – more competitive

  • But negative demand shock to

energy supply in Germany – reduced intermediate demand

  • Positive multiplier effects in
  • ther sectors but also crowding
  • ut because increased factor

prices

  • Replacement with output by

external sectors (where smaller increase in factor and output prices)

  • Only negative external impacts

in (1) ROW electricity and gas (Russia) as direct supplier to German manufacturing; (2) REU and ROW manufacturing (only small net boost to global sector in value terms) Table 5 Changes in sectoral price, output and energy use Scenario 2: 10% increase in energy efficiency in German manufacturing

Scenario 2 Price Output Energy use GER E 0.2732%

  • 0.9322%
  • 0.9261%

SER 0.3186% 0.0675% 0.0612% TRN 0.2820%

  • 0.2761%
  • 0.1814%

CON 0.2368% 0.1145% 0.0690% MAN

  • 0.0833%

0.4328%

  • 4.3559%

CPN 0.1741%

  • 0.7427%
  • 0.7105%

FOB 0.2479%

  • 0.5512%
  • 0.5910%

PRI 0.2628%

  • 0.6743%
  • 0.6907%

REU E 0.0065% 0.0073% 0.0053% SER 0.0044% 0.0059% 0.0044% TRN 0.0059% 0.0292% 0.0296% CON 0.0026% 0.0032% 0.0018% MAN

  • 0.0003%
  • 0.0719%
  • 0.0780%

CPN 0.0057%

  • 0.0172%
  • 0.0247%

FOB 0.0059% 0.0872% 0.0842% PRI 0.0062% 0.0403% 0.0395% ROW E 0.0000%

  • 0.0008%
  • 0.0010%

SER 0.0002% 0.0014% 0.0019% TRN 0.0005% 0.0087% 0.0085% CON 0.0000% 0.0002% 0.0001% MAN

  • 0.0004%
  • 0.0183%
  • 0.0194%

CPN 0.0001% 0.0003%

  • 0.0002%

FOB 0.0005% 0.0113% 0.0115% PRI 0.0001% 0.0027% 0.0025%

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SLIDE 5
  • General equilibrium rebound

effects at all levels

  • In own-sector, not restricted to

direct rebound

  • Net decrease total industrial

energy use all regions, reflecting crowding out, and also negative demand shock in case of energy

  • Increased returns to labour and

capital boost household energy use in Germany (and also slightly in REU)

  • Other scenario – 10% increase

energy efficiency in ALL German production sectors

  • Similar pattern of results
  • But energy supply effects much

more important….

Table 3 General equilibrium rebound effects Scenario 1: 10% increase in energy efficiency in all German sectors

Own-country production Rp Own-country total Rd Global EU Rg World Rg Rebound [%] 46.60 50.18 47.28 46.58 Change [percentage points] 3.58

  • 2.90
  • 0.70

Table 6 General equilibrium rebound effects Scenario 2: 10% increase in energy efficiency in German manufacturing

Own-sector Ri Own-country production Rp Own-country total Rd Global EU Rg World Rg Rebound [%] 56.44 47.63 51.31 50.22 48.11 Change [percentage points]

  • 8.81

3.68

  • 1.09
  • 2.11
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SLIDE 6

INCOME EFFECTS

  • Positive supply shock in Germany so

that, produce more, enable more consumption

  • Spreads to REU and ROW through

increased imports to intermediate and final demands But also PRICE EFFECTS

  • Fixed factors – increased returns
  • Enabling increased household

consumption

  • But also putting upward pressure on

prices at home and abroad

  • In Germany, partly mitigated by lower

input costs through energy efficiency increase

  • But in REU and ROW, further

negative impact on relative competitiveness – net crowding out in FOB and PRI

Figure 3: Changes in sectoral price, output and energy use in Germany (Scenario 1)

  • 8.00%
  • 7.00%
  • 6.00%
  • 5.00%
  • 4.00%
  • 3.00%
  • 2.00%
  • 1.00%

0.00% 1.00% 2.00% E SER TRN CON MAN CPN FOB PRI Price Output Energy use

Figure 4: Changes in sectoral price, output and energy use in the rest of Europe (Scenario 1)

  • 0.40%
  • 0.30%
  • 0.20%
  • 0.10%

0.00% 0.10% E SER TRN CON MAN CPN FOB PRI Price Output Energy use

Figure 5: Changes in sectoral price, output and energy use in the rest of the World (Scenario 1)

  • 0.05%
  • 0.04%
  • 0.03%
  • 0.02%
  • 0.01%

0.00% 0.01% 0.02% E SER TRN CON MAN CPN FOB PRI Price Output Energy use

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SLIDE 7
  • ENERGY SUPPLY EFFECTS
  • General increase in efficiency also

applies to German energy supply so substitution in favour of domestic energy

  • But, reduced demand for energy

from all German production sectors (efficiency and crowding

  • ut)
  • Coupled with decreased demand

in contracting external sectors

  • Despite increased household

energy use

  • Net impact – contraction in global

energy supply

  • In short-run, excess capacity may

push energy supply prices down, exacerbating rebound

  • But here (longer run outcome)

capital drawn away from energy, limiting price decrease and dampening rebound internally and externally

Figure 3: Changes in sectoral price, output and energy use in Germany (Scenario 1)

  • 8.00%
  • 7.00%
  • 6.00%
  • 5.00%
  • 4.00%
  • 3.00%
  • 2.00%
  • 1.00%

0.00% 1.00% 2.00% E SER TRN CON MAN CPN FOB PRI Price Output Energy use

Figure 4: Changes in sectoral price, output and energy use in the rest of Europe (Scenario 1)

  • 0.40%
  • 0.30%
  • 0.20%
  • 0.10%

0.00% 0.10% E SER TRN CON MAN CPN FOB PRI Price Output Energy use

Figure 5: Changes in sectoral price, output and energy use in the rest of the World (Scenario 1)

  • 0.05%
  • 0.04%
  • 0.03%
  • 0.02%
  • 0.01%

0.00% 0.01% 0.02% E SER TRN CON MAN CPN FOB PRI Price Output Energy use

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SLIDE 8

1.Previous work for Scotland and UK – importance of energy supply

response with ‘negative multiplier’ and ‘disinvestment’ effects dampening rebound over time

We’ve also found to be important in case of increased efficiency in household energy

use 2.General importance of supply responses – investment in capital, wage

setting and labour supply, international mobility etc.

Very simplistic treatments here in traditional neo-classical global model - priority areas

for international analyses 3.Source and nature of energy efficiency improvements – e.g. linking energy

use to capital goods that embody efficiency improvements in ‘production of energy services’

4.General issue of how we model energy supply – how are capacity and

price decisions made?

5.But also continued numerical experiments (with sensitivity analyses

targeting key elements of model specification) for efficiency improvements in different sectors

Here, difference in relative importance of energy supply and competitiveness/price

effects in determining contractions in rebound as expand boundaries

E.g. what if focus on increased general efficiency in energy supply itself?

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SLIDE 9

= 1 +

  • 100,

(1) = 1 +

  • 100,

(2)

  • = ∆
  • = ∆ + ∆

  • =
  • + ∆

  • ,

(3) = + ∆

  • 100.

(4) = + ∆

  • 100.

(5) 100

d g g d i

E R R E γ

= +

  • (6)
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SLIDE 10

Table Y Changes in output [Billion 2009 USD] Scenario 2: 10% increase in energy efficiency in German manufacturing

Scenario 2 GER REU ROW Total across regions Total across sectors 5.002

  • 0.860
  • 1.973

2.169 Electricity & gas

  • 1.579

0.054

  • 0.016
  • 1.541

Services 2.186 0.825 0.571 3.582 Transport

  • 0.424

0.245 0.255 0.076 Construction 0.337 0.065 0.010 0.412 Manufacturing 6.631

  • 3.124
  • 3.422

0.085 Fuels (CPN)

  • 0.526
  • 0.063

0.005

  • 0.584

Food, bev., tob.

  • 0.940

0.824 0.424 0.308 Primary (extract)

  • 0.683

0.315 0.200

  • 0.168
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SLIDE 11

Table X Changes in output [Billion 2009 USD] Scenario 1: 10% increase in energy efficiency in all German sectors

Scenario 1 GER REU ROW Total across regions Total across sectors 10.117

  • 1.311
  • 0.065

8.741 Electricity & gas

  • 3.331
  • 1.364
  • 0.713
  • 5.408

Services 9.647 1.364 1.158 12.169 Transport 1.006

  • 0.424
  • 0.469

0.113 Construction 1.222 0.035 0.006 1.263 Manufacturing 0.305 1.210 2.286 3.801 Fuels (CPN)

  • 0.423
  • 1.326
  • 0.648
  • 2.397

Food, bev., tob. 0.900

  • 0.134
  • 0.099

0.667 Primary (extract) 0.791

  • 0.672
  • 1.587

1.468