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27-30 April 2 009 London Group Canberra 1 Some economic aspects of climate change Instruments and statistics by Torstein Bye Director , Economics, Energy and Environment Statistics Norway [email protected] Introduction Instruments – basic characteristics Instrument classification Instruments and statistics A Norwegian example Summary and conclusion
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Introduction Instruments – basic characteristics Instrument classification

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Page 1: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 1

Some economic aspects of climate changeInstruments and statistics

byTorstein Bye

Director , Economics, Energy and EnvironmentStatistics Norway

[email protected]

• Introduction

• Instruments – basic characteristics

• Instrument classification

• Instruments and statistics

• A Norwegian example

• Summary and conclusion

Page 2: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 2

Introduction

• The Stern report (Stern, 2008)– Climate change and economic consequences Cost of mitigation, cost of

adaptation, Cost efficient approach to mitigate

• Eurostat/OECD definition of environmental related taxes

• Combating climate change is about instruments – classification issues.

• A range of instruments, – Economic instruments, technology instruments, regulatory instruments etc.– All instruments create shadow prices in the market –i.e. economic instruments– To understand effects are important when deciding upon what statistics we need

• We produce a comprehensive number of consistent statistical tables– that allows us to perform consistent analyses both of driving forces, – and the impact of the instruments on emissions– Where does the statistics come from

• We exemplify some interesting aspects– by combining actual figures for Norway from a set of such consistent tables.

• Concludes

Page 3: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 3

Environmental taxes - classification• (Eurostat 2001/OECD):

– A tax whose tax base is a physical unit (or a proxy of it) of something that has a proven, specific negative impact on the environment

It was decided to include all taxes on energy and transport, to include resource taxes but to exclude resource taxes on the petroleum sector, and to exclude VAT.

It seems random and not principal?

• Pigou (1920) – The economics of welfare: – A tax that corrects for negative externalities related to economic

activity (cf. the environment)

• Bye and Bruvoll (2008) – Multiple instruments to change energy behaviour – the emperors new clothes?

Resource rent (Ricardo, Hotelling), monopoly rent Capture Infrastructure cost – Ramsey (1927) ? Income generation – Ramsey (1927) Externalities (Pigou (1920)

• Problem OECD: Value added tax, labour tax?• Example: less than 20 percent of OECD/Eurostat env.taxes

for Norway are really environmental taxes – cf. Bruvoll, Næss and Smith (2009) - forthcoming

Page 4: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 4

Taxes and subsidies

p1b

p0

p1a

t

x0bx1

b x0a x1

a x0x1

D1b

D0 SD1

D0b Da

Discriminatory taxes

Bye and Bruvoll (2008):Multiple instruments to change energy behaviour

– the emperor new clothes

p1g

p0

p1b

s

x0g x1

g x0bx1

b x0 x1

SbS1gS0

g

S1S0

D

rent

Discriminatory subsidies

Negative externality

Positive externality

Discrimination

Page 5: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 5

Green and White certificates

p0

x0g x1

g

x0bx1

b

x0 x1

g(p)

g(p+pc)

h(p)

h(p)+g(p)

h(p)+g(p+pc)

f(p+apc)

f(p)

p1

pc

Green certificates -supply

p2

p0

x0b x0

ax1a x0x1

Db

S0

Da

S2

p1a

p1b

x1b x2

b x2a

White certificates -demand

Taxes are bad – subsidies are bad – I do not want to pay

GC: Free certificate on supply – purchaser obligation

WC: Obligation to save – trade for supplier

Page 6: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 6

Brown certificate – or carbon trade

p*

p0a

DbDa

A1a

A0a

A1b

A0b

p*

p0b

Limit the amount:

A shadow price occur

Initial allocation

Distribution of cost and benefits

Taxes an subsidies

Page 7: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 7

Supplementary instruments• Regulation - shadow price – “tax” – “subsidy”

• Standards - shadow price – “tax” and “subsidy”

• R&D – subsidy – and a “tax”

• Market concentration – regulation?– Good for the environment - Tax and subsidy

• All instruments are fundamentally a combination of:– a “tax” and a “subsidy”

• When producing statistics: – we should remember that and treat them equally

Fundamentally:

Page 8: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 8

Instruments and statistics - fundamentals

Sector   Gasoline Fuel oil Coke Coal Wood Waste Intermediates

Primary industries

Agriculture

Top down versus bottom up approachThe fundamental bottom up approachInput – output or activity tablesA detailed sector listA detailed commodity listAmount of emission carrier Physical or economic values (fixed prices)Energy account and national accountBridging table to energy balancesBrings discipline to the statistical workAnalyses of driving forcesAnalysis of the effects of instrumentsThe role of UN

Fisheries

Forestry

Manufacturing

Pulp and paper

Machinery

Metals

Other

Construction  

Electricity etc  

Private Services

Banking

Insurance

Transport

Other

Public services  

Residential  

Sector   Gasoline Fuel oil Coke Coal Wood Waste Intermediates

Primary industries

Agriculture

Emission coefficient of compound x on the cell activity from table 1

Technology informationCO2 – straightforward – carbon in CO2 outCH4 – burning technologyHFC, CFC, SF6 – Process technology

Fisheries

Forestry

Manufacturing

Pulp and paper

Machinery

Metals

Other

Construction  

Electricity etc  

Private Services

Banking

Insurance

Transport

Other

Public services  

Residential  

Sector   Gasoline Fuel oil Coke Coal Wood WasteIntermediates

Primary industries

Agriculture

Amount of emissions of compound x – the product of table 1 and 2

Fisheries

Forestry

Manufacturing

Pulp and paper

Machinery

Metals

Other

Construction  

Electricity etc  

Private Services

Banking

Insurance

Transport

Other

Public services  

Residential  

Page 9: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 9

Instruments and statistics – “technologies”

Sector Gasoline Fuel Coke Coal Wood WasteIntermedia

tes

  P T S P T S P T S P T S P T S P T S P T S

Agriculture

Table 3 - split into processes (P) - Transport (T) and Stationary (S) end uses –Why; - discriminatory or - different environmental impact - tax rates per unit - subsidies vary - allowances vary? - certificates vary? - regulation vary?Tax rates for each emission activitySame principle for all instrumentsOECD data base of environmental taxes, exemptions, reimbursement, caps etchttp://www.oecd.org/env/policies/database - cf the criticism above

Manufacturing

Services

Households

Page 10: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 10

Instruments and statistics • Taxes – Table 4x-x (taxes and discrimination – accounts)

– Tax rate on volumes of proven environmental impact - Ex. emissions of carbon dioxide.

– Data collection and definition – are tax rates split ?: Simple in theory – difficult in practice ? cf. Eurostat (2001)

– Ramsey, environmental, energy, resource, transportation infrastructure, – Bye and Bruvoll (2008b)

Harmonize with the total collected taxes measured in public accounts– (i.e. a tax account matrix).

– Steinbach et al. (2008a) Environmental taxes in the context of the SEEA

• Subsidies – table 5x-x (complexity versus registers)– Measure keeps prices below their market value for consumers and above market value for

producers – In practice - direct transfers or tax credits (foregone income)– In UNEP (2004) direct transfers, public R&D, preferential tax treatments, price controls and loans-

lower than market interest rate – Our paper has a much broader definition of subsidies - only possible to calculate indirectly –cf.

market responses – relevant data for analysis – make analysis possible– Data collection

Subsidies are normally launched to investment projects in terms of a specific amount or a lump sum to producing facilities based on a production basis (for instance a feed in tariff – i.e. a unit subsidy) for facilities that want to save the use of input (energy efficiency projects) on the demand side, either lump sum

or per unit. Lump sum subsidies are normally linked to some kind of volume measures, i.e. they may be transformed to a

unit measure. In practice this measure is complex and some data transformation processes are needed to make the

measures comparable in units. Subsidies are normally directed towards detailed projects, i.e. these data are on matrix form, cfr. table 3. The bright side - government will normally establish some kind of a register

– Steinbach et al. (2008b) discusses Environmental subsidies in the context of the SEEA manual.

Page 11: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 11

Instruments and statistics• Carbon market – table 6x-x – cf create 50 percent reduction in 2050?

– Shadow price of regulation – equals the ”tax”• Two sets of additional statistical tables

– Initial assignment of free allowances in volumes (implies also a value transfer – volume times the market price)

– Economic and volume capturing the trading of emission permits– Aggregates over the columns in table 3:

normally directed towards sectors and not activities – but who knows what happens

• Data source– The assigned amount of allowances may be collected from public registers

grandfathered, i.e. based on historic emissions, other free emissions (for instance for new facilities). Surrendered emission, The “verified” emissions follow from table 3.

– Trade of permits – both volumes and values (some may not be tradable) Allowances – public registers CDM trade –public registers JI trade –public registers Verified emissions – table 3 Net trade on exchange – accounting principle

– The permit market in the context of the SEEA manual and the SNA - Olsen (2008).

Page 12: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 12

Instruments and statistics

• Green certificates – table 7x-x – cf at least 20 percent of EU market in 2020– Approval - delivery of the number of certificates by technology choice and firms

in public registers– The value of the certificate on the pool /exchange– Energy balance (residential) or the energy account (territorial) framework

depends upon national or international framework?

• White certificate - table 8x-x – cf. at least 20 percent of EU market in 2020 – Public register of how much each firm/sector is supposed to save– The principal agent assumption eases the data collection.

Each agent (for instance a distribution company for electricity) has to verify the savings and the cost for each principal (consumer)

• Regulation table – table9x-x– Regulations are normally set up by public firms on a firm specific regime. – Public sector should follow up on their own regulation

both the regulated and the verified outcome is registered – consistency check to table 3

– The information needed then should be based on these registers.

Page 13: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 13

A Norwegian example (table 3,4,6) – CO2 “taxes”

0,00

50,00

100,00

150,00

200,00

250,00

300,00

350,00

0 5 10 15 20 25 30 35 40 45

mill. tonnes CO2

NOK/tonne CO2

Extraction of oil and gas

Households

Average CO2-tax in Norw ay: 184 NOK/tonne CO2

Gas

term

inal

s

Domestic sea transport

Land transport ex/cabs, railw ay and bus transport

Pro

duct

ion

of r

efin

ed o

il pr

oduc

ts

Iron

and

ste

el

Cem

ent,

lime

and

gyps

um

Fis

hing

Alu

min

um Pla

stic

, rub

ber

prod

uctio

n

dec 2008: 15 €/tonne CO2

oct 2008: 25 €/tonne CO2

Page 14: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 14

A Norwegian example–who pays how much?

0

50

100

150

200

250

300

350

400

450

500

550

600

650

700

750

800

850

0 5 10 15 20 25 30 35 40 45

”Processing emissions

~0.4 bill.€

~0.3 bill. €

~0.8 bill. €

Sea- and land transport

Households

Extraction of oil and gas

LandfillsNOK/tonne CO2

mill. tonnes CO2

EU/ETS oct 2008: 25 €/tonne CO2

Page 15: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 15

Summary and conclusion• Mitigation is about instruments

• What is an environmental tax?

• Complex instruments introduced

• All instruments are combinations of “taxes and subsidies”

• Statistics for just one instrument is “a lie”?

• Statistics for all instruments on the same principle

• Input/output matrix

• Tax rates

• Registers

• Accounting

• Analyses made possible– Driving forces– Effect of instruments – partially/bilaterally/trilaterally/multilaterally

Page 16: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 16

Some questions raised:• The paper advocates that all instruments in climate policy reduce to a combination of taxes and

subsidies. Does the London Group agree?• The paper advocates that it is important that statistics gather information on instruments in

climate policy in a detailed manner, which makes it possible to study the market and technology effects of instruments. Does the LG agree?

• To follow the impact of climate policy it is important that as many instruments as possible are included in the statistics. For some instruments it seem easy, for others it is more complex. However, research on how to include complex instruments should be emphasised?

• The paper advocates that the statistical detailed setup for instruments should follow the statistical setup for emissions (i.e. the national and energy account setup). Does the LG agree?

– For statistical purposes this eases the data gathering as values may be based on tax rates and emission accounts.

– Consistency may be checked by aggregation of these tax rates emission accounts calculations and total public tax accounts.

• Emission permits should be included in the statistical system on the same basis?– This includes tradable permits in the markets, which may be calculated indirectly, see

below– This includes JI – which may be found in national registers– This includes CDM – which may be found in national registers– This includes free allowances –which may be found in national registers

• We should include new instruments as green and white certificates?• Statistics for regulations should be gathered – how to include them should be studied further?• Important lessons are to be learned from the OECD-database

– However the DEFINITIONS of environmental taxes ARE disputed?

Page 17: Introduction Instruments – basic characteristics Instrument classification

27-30 April 2009London Group Canberra 17

CO2 taxes

Other environmental taxes (taxes on other climate gas emissions, NOx, SO2 and waste)

Motor vehicle registration tax

Annual motor

vehicle tax

Petrol tax, environm. elements excepted

Diesel tax, envir. elements excepted

Electricity consumption tax

Other

Norwegian environmental taxes as share of ”environmentally related taxes” reported to Eurostat

Total reported taxes: 8.2 bill EuroEnvironmental taxes: 1.4 bill Euro (<20%)

Sources: Bruvoll, Næss and Smith (2009) (forthcoming)Ministry of Finance (2007): An evaluation of Norwegian excise taxes, NOU 2007:8