Transcript Document
Technical workshop
Modeling Carbon Leakage
Risk in Poland
Karsten Neuhoff
Warsaw, 3.4.2013
Avoid job and emission leakage
50%
Casting of iron
Preparation of yarn
40%
Allocation dependent (direct) CO2 costs / GVA
Electricity (indirect) CO2 costs / GVA
10%
Basic iron & steel
20%
Aluminium
Other inorganic
basic chemicals
30%
Cement
Potential Maximum Value at Stake (MVAS)
and Net Value at Stake (NVAS)
Lime
Copper
Household paper
Non-wovens
Industrial gases
Coke oven
Fertilisers & Nitrogen
Starches& starch
products
Refined petroleum
4%
2%
0%
0.2%
0.4%
Malt
Other textile weaving
Flat glass
Veneer sheets
Retreading/
rebuilding tyres
Rubber tyres &
tubes manufact.
Hollow glass
Finishing
of textiles
Pulp &
paper
0.6%
0.8%
1.0%
UK
GDP
Value of free allocation relative to
cost of emission 2009
2
Industrial activities with the highest cost increase from carbon pricing, and their contribution to UK GDP,
assumed carbon price increase 20 €/t CO2, electricity price increase 10 €/MWh. Only sector with more
than 0.5 Mill. tonnes CO2/EU27 added by Commission: Other organic chemicals (NACE 2414)
Based on Climate Strategies work from 2007, verified with recent data
Untill 2020 with free allocation, then revisit options
Illustrative for UK
60%
Cement
70%
Clinker
Cost increase relative to value added (20 €/t CO2)
Value chain of concrete production
50%
Concrete products (concrete products
for construction; mixed concrete etc)
40%
Total cost increase
30%
Cost increase passed on from
first production stage (clinker)
20%
Cost increase from higher
electricity prices
10%
0%
0
500
1000
1500
2000
2500
3000
3500
Cumulative gross value added (mio €)
Source: Climate Policy after Copenhagen – The role of Carbon Pricing, Cambridge University Press 2011
3
Value chain of steel production using BOF process
Cost increase relative to value added (20 €/t CO2)
Illustrative for UK
50%
Semi finished
Iron and steel
Hot rolled
40%
30%
Total cost increase from CO2 pricing
20%
Cost increase from passed on CO2
pricing of first production stage only
10% Total cost increase from
higher electricity prices
0%
0
500
1000
1500
2000
2500
3000
Cumulative gross value added (mio €)
Source: Climate Policy after Copenhagen – The role of Carbon Pricing, Cambridge University Press 2011
4
Distortions from different C-efficiency in EU countries?
Source: TNO – Greenhouse gas efficiency of industrial activities in EU and Non-EU
Leakage concerns differ accross sectors
Potential leakage channels illustrated at the example of some potentially
effected commodities
Main options to address leakage for sectors with concern
7
Regenerativwirtschaft im europäischen Verbund?
Karsten Neuhoff, 22.3.2012
Focus use of measures to address leakage
2. Limit scale to emissions
of best available technology
4. Limit
how far
down
the
value
chain
1.Limit to
commodities
with
leakage
risk
3. Limit to costs incurred
from tax / allowance auction
Energy intensive products
• Poland currenttly net-importer from rest of Europe
• Additional investment pre-empted by imports from ROE
• New investment if product/process requirements change
• Then likely close to demand -> Poland
-> Credible vision is necessary
9
Regenerativwirtschaft im europäischen Verbund?
Karsten Neuhoff, 22.3.2012
The Need for European Perspective for Investment
- Other regions accelerate implementation of carbon pricing
EU ETS
WCI
(2013)
RGGI
Korea
PRChina
Tokyo
(2015?)
(2013?)
Taiwan
(201x?)
South African
Carbon Tax
Australian
NSW
ETS 2012
NZ ETS
10
Graph: Left: Michaelowa et a., right: Andreas Türk, Sonja Klinsky, Michael
Karsten Neuhoff, 22.3.2012 Mehling, Xin Wang 2012, Climate Strategies
Economy wide – energy prices drive efficiency
1,400
Denmark
Average energy price US$/t oil equivalents
1,200
Japan
Norway
1,000
Best fit constant price
a
elasticity of -1.0
Austria
800
Italy
Germany
Luxembourg
Switzerland
Portugal
France
600
Spain
Netherlands
Greece
400
Sweden
Finland
New Zealand
United States
Turkey
Australia
Hungary
Korea
Slovakia
Mexico
United
Kingdom
200
Canada
Czech Republic
Poland
Belgium
0
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Average energy intensity (kg oil equivalent/US $1995 GDP)
0.9
1.0
Source: Newbery, D. M. (2003). Sectoral Dimensions of Sustainable Development: Energy and Transport. Economic Survey
of Europe Regenerativwirtschaft
2: 73-93
im europäischen Verbund?
11
Karsten Neuhoff, 22.3.2012
Macro impact – replacing fuel imports with local activity
Fuel import costs relative to GDP (2011)
6%
5%
4%
Coal import costs
3%
Gas import cost
Oil import cost
2%
1%
0%
Poland
Germany
Source: Based on BP Statistical Review of World Energy June 2012
Assuming average gas price matches average oil price (most LT gas contracts track oil price with 6 months lag)
12
Karsten Neuhoff, 22.3.2012
Employment in Renewables – driver in Germany
Total
382.000 (2011)
Wind Power
101.000 (2011)
Solar
Bio Mass
125.000 (2011)
124.000 (2011)
Philip Ulrich [GWS] Martin Distelkamp [GWS] Dr. Ulrike Lehr [GWS] Dr. Peter Bickel [ZSW]
Andreas
Püttner
[ZSW]
(2012)
Erneuerbar beschäftigt in den Bundesländern, Bericht zur daten‐und modellgestützten
13
Karsten
Neuhoff,
22.3.2012
Abschätzung der aktuellen Bruttobeschäftigung in den Bundesländern
-3%
-6%
BelgiumFounding
GermanyFounding
LuxembourgFounding
Denmark1973
UnitedKingdom1973
Portugal 1986
Austria1995
Sweden1995
CzechRepublic2004
Hungary2004
Lithuania2004
Poland2004
Slovenia2004
Romania2007
FranceFounding
ItalyFounding
NetherlandsFounding
Ireland1973
Greece1981
Spain1986
Finland1995
Cyprus2004
Estonia2004
Latvia2004
Malta2004
Slovakia2004
Bulgaria2007
BelgiumFounding
GermanyFounding
LuxembourgFounding
Denmark1973
UnitedKingdom1973
Portugal 1986
Austria1995
Sweden1995
CzechRepublic2004
Hungary2004
Lithuania2004
Poland2004
Slovenia2004
Romania2007
FranceFounding
ItalyFounding
NetherlandsFounding
Ireland1973
Greece1981
Spain1986
Finland1995
Cyprus2004
Estonia2004
Latvia2004
Malta2004
Slovakia2004
Bulgaria2007
Benefits of an integrated European approach
Founding members
Joining during 20th century
GDP
growth
9%
1985 - 1994
1995 - 1998
Joining 2004
2007
6%
3%
0%
1999 - 2003
2004 - 2007
Vielen Dank für Ihre Aufmerksamkeit.
DIW Berlin — Deutsches Institut
für Wirtschaftsforschung e.V.
Mohrenstraße 58, 10117 Berlin
www.diw.de
Redaktion
Karsten Neuhoff
[email protected]