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Modeling Carbon Leakage Risk in Poland Technical workshop Karsten Neuhoff Warsaw, 3.4.2013

Modeling Carbon Leakage Risk in Poland

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Technical workshop. Karsten Neuhoff. Warsaw , 3.4.2013. Modeling Carbon Leakage Risk in Poland. Avoid job and emission leakage. Untill 2020 with free allocation, then revisit options. 50%. Casting of iron. Lime. Preparation of yarn. 40%. Allocation dependent (direct) CO 2 costs / GVA. - PowerPoint PPT Presentation

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Page 1: Modeling Carbon Leakage Risk in Poland

Modeling Carbon Leakage Risk in Poland

Technical workshop

Karsten NeuhoffWarsaw, 3.4.2013

Page 2: Modeling Carbon Leakage Risk in Poland

Avoid job and emission leakage

2

Pot

entia

l Max

imum

Val

ue a

t Sta

ke (M

VAS

) a

nd N

et V

alue

at S

take

(NVA

S)

Cem

ent

Bas

ic ir

on &

ste

el

Lime

Fertilisers & Nitrogen

Alu

min

ium

Other inorganicbasic chemicals

Pulp &paper

Malt

Coke ovenIndustrial gases

Non-wovens

Refined petroleum

Household paper

Hollow glassFinishing of textiles

Rubber tyres & tubes manufact.

Copper

Casting of iron

UK GDP

Allocation dependent (direct) CO2 costs / GVAElectricity (indirect) CO2 costs / GVA

Flat glassVeneer sheets

0%

10%

20%

30%

40%

0.2% 0.4% 0.6% 0.8% 1.0%

4%2%

50%

Starches& starch products

Preparation of yarn

Other textile weaving

Retreading/rebuilding tyres

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)

Value of free allocation relative to cost of emission 2009

Untill 2020 with free allocation, then revisit options

Bas

ed o

n C

limat

e S

trate

gies

wor

k fro

m 2

007,

ver

ified

with

rece

nt d

ata

Page 3: Modeling Carbon Leakage Risk in Poland

Value chain of concrete production

3

Illustrative for UK

0%

10%

20%

30%

40%

50%

60%

70%

0 500 1000 1500 2000 2500 3000 3500Cumulative gross value added (mio €)

Cos

t inc

reas

e re

lativ

e to

val

ue a

dded

(20

€/t C

O2)

Cost increase from higher electricity prices

Clin

ker

Cem

ent

Concrete products (concrete products for construction; mixed concrete etc)

Total cost increase

Cost increase passed on fromfirst production stage (clinker)

Source: Climate Policy after Copenhagen – The role of Carbon Pricing, Cambridge University Press 2011

Page 4: Modeling Carbon Leakage Risk in Poland

Value chain of steel production using BOF process

4

0%

10%

20%

30%

40%

50%

0 500 1000 1500 2000 2500 3000

Semi finished Hot rolled Iron and steel

Illustrative for UK

Cumulative gross value added (mio €)

Cos

t inc

reas

e re

lativ

e to

val

ue a

dded

(20

€/t C

O2)

Total cost increase from higher electricity prices

Total cost increase from CO2 pricing

Cost increase from passed on CO2

pricing of first production stage only

Source: Climate Policy after Copenhagen – The role of Carbon Pricing, Cambridge University Press 2011

Page 5: Modeling Carbon Leakage Risk in Poland

Source: TNO – Greenhouse gas efficiency of industrial activities in EU and Non-EU

Distortions from different C-efficiency in EU countries?

Page 6: Modeling Carbon Leakage Risk in Poland

Leakage concerns differ accross sectors

Potential leakage channels illustrated at the example of some potentially effected commodities

Page 7: Modeling Carbon Leakage Risk in Poland

Main options to address leakage for sectors with concern

Karsten Neuhoff, 22.3.20127Regenerativwirtschaft im europäischen Verbund?

Page 8: Modeling Carbon Leakage Risk in Poland

Focus use of measures to address leakage

4. Limit how far down the value chain

2. Limit scale to emissions of best available technology

3. Limit to costs incurred from tax / allowance auction

1.Limit to com-modities with leakage risk

Page 9: Modeling Carbon Leakage Risk in Poland

Energy intensive products

Karsten Neuhoff, 22.3.20129Regenerativwirtschaft im europäischen Verbund?

•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

Page 10: Modeling Carbon Leakage Risk in Poland

The Need for European Perspective for Investment

Karsten Neuhoff, 22.3.201210

- Other regions accelerate implementation of carbon pricing

Graph: Left: Michaelowa et a., right: Andreas Türk, Sonja Klinsky, Michael Mehling, Xin Wang 2012, Climate Strategies

EU ETS WCI

(2013)RGGI PRChina

(2013?)

NSW

NZ ETS

TokyoKorea(2015?)Taiwan(201x?)

Australian ETS 2012

South African Carbon Tax

Page 11: Modeling Carbon Leakage Risk in Poland

Economy wide – energy prices drive efficiency

Karsten Neuhoff, 22.3.201211Regenerativwirtschaft im europäischen Verbund?

Source: Newbery, D. M. (2003). Sectoral Dimensions of Sustainable Development: Energy and Transport. Economic Survey of Europe 2: 73-93

Denmark

JapanNorway

Austria

ItalyGermany Luxembourg

Switzerland SwedenPortugalFrance Finland

Spain

UnitedKingdom

Netherlands

Greece

New Zealand

Belgium

United States

Australia

Mexico

Turkey

Hungary

Korea

Canada

Slovakia

Czech RepublicPoland

0

200

400

600

800

1,000

1,200

1,400

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0Average energy intensity (kg oil equivalent/US $1995 GDP)

Ave

rage

ene

rgy

pric

e U

S$/

t oil

equi

vale

nts

Best fit constant price elasticity of -1.0 a

Page 12: Modeling Carbon Leakage Risk in Poland

Macro impact – replacing fuel imports with local activity

Karsten Neuhoff, 22.3.201212

Fuel import costs relative to GDP (2011)

Source: Based on BP Statistical Review of World Energy June 2012Assuming average gas price matches average oil price (most LT gas contracts track oil price with 6 months lag)

0%

1%

2%

3%

4%

5%

6%

Poland Germany

Coal import costs

Gas import cost

Oil import cost

Page 13: Modeling Carbon Leakage Risk in Poland

Employment in Renewables – driver in Germany

Karsten Neuhoff, 22.3.201213

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 Abschätzung der aktuellen Bruttobeschäftigung in den Bundesländern

Wind Power

Bio MassSolar

Total382.000 (2011) 101.000 (2011)

125.000 (2011) 124.000 (2011)

Page 14: Modeling Carbon Leakage Risk in Poland

-6%

-3%

0%

3%

6%

9%

Belgi

um Fo

undin

gGe

rman

y Fou

nding

Luxe

mbo

urg F

ound

ingDe

nmar

k 197

3

Slove

nia 20

04

Fran

ce Fo

undin

gIta

ly Fo

undin

gNe

ther

lands

Foun

ding

Belgi

um Fo

undin

gGe

rman

y Fou

nding

Luxe

mbou

rg Fo

undin

gDe

nmar

k 197

3

Fran

ce Fo

undin

gIta

ly Fo

undin

gNe

ther

lands

Foun

ding

1985 - 1994 1995 - 1998 1999 - 2003 2004 - 2007

Founding members

Unite

d King

dom

1973

Portu

gal 1

986

Austr

ia 19

95Sw

eden

1995

Irelan

d 197

3Gr

eece

1981

Spain

1986

Finlan

d 199

5

Unite

d King

dom

1973

Portu

gal 1

986

Austr

ia 19

95Sw

eden

1995

Irelan

d 197

3Gr

eece

1981

Spain

1986

Finlan

d 199

5Cy

prus

2004

Joining during 20th century

Rom

ania

2007

Bulga

ria 20

07

Rom

ania

2007

Bulga

ria 20

07

2007

Benefits of an integrated European approach

GDPgrowth

Czec

h Rep

ublic

2004

Hung

ary 2

004

Lithu

ania

2004

Polan

d 200

4

Cypr

us 20

04Es

tonia

2004

Latv

ia 20

04M

alta 2

004

Slova

kia 20

04

Czec

h Rep

ublic

2004

Hung

ary 2

004

Lithu

ania

2004

Polan

d 200

4Slo

venia

2004

Esto

nia 20

04La

tvia

2004

Malt

a 200

4Slo

vakia

2004

Joining 2004

Page 15: Modeling Carbon Leakage Risk in Poland

Vielen Dank für Ihre Aufmerksamkeit.

DIW Berlin — Deutsches Institutfür Wirtschaftsforschung e.V.Mohrenstraße 58, 10117 Berlinwww.diw.de

RedaktionKarsten [email protected]