general equilibrium models for norway and technological change some lessons learned
Skip this Video
Download Presentation
General equilibrium models for Norway and technological change - some lessons learned

Loading in 2 Seconds...

play fullscreen
1 / 17

General equilibrium models for Norway and technological change - some lessons learned - PowerPoint PPT Presentation

  • Uploaded on

General equilibrium models for Norway and technological change - some lessons learned. Taran Fæhn, SSB Modellforum CenSES OG CREE 24. oktober i 2013. Background.

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

PowerPoint Slideshow about 'General equilibrium models for Norway and technological change - some lessons learned' - amelie

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
general equilibrium models for norway and technological change some lessons learned

General equilibriummodels for Norway and technologicalchange- somelessonslearned

Taran Fæhn, SSB



24. oktober i 2013


Traditional approaches to abatement costs overestimate the costs of climate policies - potential abatement options are omitted

TOP-DOWN models – CGE (SSB’s MSG6)

  • Assume technologies of today (when calibrating) and of yesterday (when estimating)
  • Disregard most opportunities for future technologies
  • BOTTOM-UP models – e.g. MARKAL/TIMES:
  • Exogenous consumption and production patterns
  • Disregard most reallocations and interactions among factor and output markets

Complement each other Iteration of integration are possible solutions

studies of climate policies in presence of technological change lessons from ssb analyses
Studies of climate policies in presence of technological changeLessons from SSB analyses
  • Soft-linking MSG6 and MARKAL

(Bjertnæs,Martinsen&Tsygankova 2013, Martinsen 2011)

  • Integrating technological information into MSG(-TECH)

(Klimakur,2010; Fæhn&Jacobsen,2010)

  • Comparing MSG-TECH and bottom-up analyses

(Fæhn,Gulbrandsen&Lindegaard,2010; Fæhn,Isaksen&Rosnes,2013)

  • Endogenising technological development

(Bye&Jacobsen,2011; Heggedal&Jacobsen,2011)

  • Further plans
a soft linking mgs6 and markal bjertn s martinsen tsygankova eneco 39 2013 martinsen enpol 2011
A. Soft-linking MGS6 and MARKAL Bjertnæs,Martinsen&Tsygankova (EnEco 39/2013) Martinsen (EnPol 2011)

Analysis Designs:

1) Shiftedtheclimate policy (a uniform CO2tax) in MARKAL

2) Madethe same shift in MSG


3a) AddedontoMSG’semissioneffectsthose from MARKAL

  • Total technology-inducedemissionreductions not dispersedonindustries

4a) Alsoinsertedannuitiesofinvestment and operationcostsinto MSG

  • Costsroughlyallocatedonindustriesbasedonemissions in thereference scenario and added to the input costs

5a) Studiedrevenues and recycling in the MSG modelwithnoiterations


3b) Feddemandresponses from MSG6 into MARKAL

4b) Re-simulatedthetaxshift in MARKAL-account for endo. demand

a soft linking mgs6 and markal
A. Soft-linking MGS6 and MARKAL

Main lessons:

  • Planned to iterate all shifts, butretreated to two separate studies focussingon MSG and MARKAL, respectively

(labour-consumingcommunication, solutions, many runs)

  • A considerablejob to match sectors and coherentreferencestates
  • Overlapping endogeneity (e.g. different endogenousel.pricemechanisms) -> iteration problems

Easier to usethe inputs (beforethemodel’sendogeneity) than

the outputs (aftersimulation) of MARKAL.

B. Integratingtechnologicalinformation

into MSG(-TECH)

Klimakur,2010(macroeconomic computations)

Research question:

Social abatement costs of meeting global, European and domestic emission caps within 2020 (Stortingetsklimaforlik)

Analysis design:

  • Data on industry-specific technological options inserted in MSG-TECH for emission-intensive manufacturing, petroleum and road transport
  • MSG-TECH can endogenously determine what technology options are cost-effective for a given policy


  • Half of the abatement comes as investments in climate technologies
  • The rest results from down-scaling and reallocation of resources to other activities
  • The marginal abatement costs are relatively high (1500 kr/t)
B. Integratingtechnologicalinformation

into MSG(-TECH)

illustration: Petroleum industry:

The MSG adjustments:

  • Abatement curve= Relationship between accumulated abatement and marginal costs
  • Total abatement = abatement in the traditional model+resulting from climate technology inv.
  • Total abatement costs= integral above curve = added input costs in the industry (less efficient inputs)

10 detailed projects, types:


Wind power installations

Power efficiency improvements


The technological abatement curve

B. Integratingtechnologicalinformation

into MSG(-TECH)


Fæhn og Jacobsen, 2010(ØA5 /2010)

Research question:

Allowing for technologicaladaptations

The significance in terms ofabatementcosts

Analysis design:

Same domesticcap in MSG6 and MSG-TECH


Marginal costs fall to 1/3 comparedwiththose in a traditional CGE modelwhenallowing for agents’ technologyoptions (in manufacturing, petroleum and road transport).

B. Integratingtechnologicalinformation

into MSG(-TECH)

Main lessons:

  • Able to placeeffectson real costs and emissions in the right industries
  • BUT: costsareallocatedoncomponents (inputs) according to original input structure, i.e. onlyrandomly a reasonablefit. Problem: wrong input marketimpact (egelectricitydemand from electrification)
  • Few “observations” in the estimations of abatement curves, particularly do we lack info on expensive techs - extrapolations
  • The points rely on absolute potentials guessed by experts. How absolute are these? Actually cost-dependant?
  • Continuous abatement curves -> Incremental abatement possible; putty-clay a better model for medium-term
  • Information continuously develop
  • Technology costs depend on time and policy regimes – learning (endo?)
C. ComparingMSG-TECH and bottom-up

Fæhn,Gulbrandsen&Lindegaard,2010; (Smføk 5)

Research question:

Klimakur 2020 approachedthequestionofabatementcosts in two different ways – bottom-up and macroeconomicanalysis. Didtheanswerscoincide?

Analysis design:

Systematicidentificationofthe optimal abatementoptions in bothapproaches


  • The methodswerepartlycomplementary
  • Butalsopartly overlapping. Accounting for complementsbut not doublecountingoverlapsleftuswith a Climate Cure 20-30% cheaperthantheapproachesseparatelyfound
  • In addition: Manyoptionswere not included in any(e.g. agric) – and same withcosts (e.g. transition) – down or up?
C. ComparingMSG-TECH and bottom-up


Main lessons:

  • Hybrid modellingcanreachevenfurther - more technologyoptionsshould be considered (binding carbon, energyefficiency in buildings)
  • Problems: Manyoftheomittedoptionsare more thanfree. Need to solvethatpuzzle (omittedcosts?, marketfailures?, non-optimising agents?)
  • More reallocations shouldalso be considered (down-scalingof petroleum, agriculture, fishery – assumedunaffectednow)
C. ComparingMSG-TECH and bottom-up

Fæhn, Isaksen&Rosnes; 2013 (SSB Report 39)

Research question:

Whatabatementwilltakeplace in Norway given a carbon price as in the 2 degree scenario

Process: Studyinganswers from MSG-TECH and MARKAL/TIMES(IEA,2013)

Reference=New policy scenario (current and expectedpolicies)


C. ComparingMSG-TECH and bottom-up

Fæhn, Isaksen & Rosnes; 2013

Main lessons:

  • Otherabatementmeasuresthantechnologicaladaptationsaccount for 1/3 in MSG-TECH. Nevertheless, abatement is far more costly and less is implemented in MSG-TECH than in MARKAL/TIMES
  • MARKAL/TIMES considerably more technology-optimisticthan MSG-TECH


    • Cost (gu)esstimates in MSG-TECH aremade for 2020, and used unchanged for later periods
    • IEA looks at a global (not unilateral) implementation, whichwillspur R&D and learning - and costreductions


    • Costs in IEA arelowerthan in manyother studies of global implementation – also hybrid (NOU, 2012:16)
endogenising technological development
Endogenising technological development

(Bye&Jacobsen,2011; Heggedal&Jacobsen,2011)Until now presented modelling of diffusion – the costs are exogenous, but diffusion endogenous

Reasonable that technological development and cost reductions are endogenous in models of Norway?

  • Adaptation has local aspects – costs fall through learning (internalised or external effects?)
  • (Endogenous) absorptive capacity affect knowledge spillovers from abroad
  • Norway performs endogenous R&D

We have modelled Norwegian R&D on CCS technologies og studied effects of public support and carbon pricing

from msg tech to snow model
From MSG-TECH to SNoW model


Ambition: Make useofourlessonson hybrid modelling

  • Energy efficiency and marketimperfections
  • More realisticfactormarketimpacts
  • (Exogenous) technologydevelopment over time
  • Responsive output in petroleum, agriculture, fisheries
  • Dynamic (forward-looking) simulations (eg. Hyperbolicdiscounting)

CGE modelfamily

  • World exogenous, MSG6-characteristics (SNoW-No)
  • World endogenous (global model)
  • SNoW-TECH (improved MSG-TECH characteristics)
  • Technologicaldevelopment (SNoW&ICE– InducedChange inEnergy technologies)

SNoW-No under development

  • Why?
  • How?
  • How far have wegot?
summing up
Summing up:
  • Success of soft-link solutions more likely if both models operated by the same/closely collaborative teams
  • Hybrid models have become common
  • Norway has much expertise on climate technology details
  • There exists an optimum for how detailed a hybrid model should be – suitable for macro-economic problems
  • There is more potential in hybrid modelling
    • Energy efficiency, factor use, cost development over time….
Takk for oppmerksomheten

[email protected]


Bjertnæs Tsygankova&Martinsen, 2013 Energy Economics 39, 147-58

Bye&Jacobsen, 2011 Energy Economics 33/3, 543-55

Fæhn Gulbrandsen&Lindegaard, 2010 Samfunnsøkonomen5, 4-15

Fæhn Isaksen& Rosnes, 2013 Rapporter 39, SSB

Fæhn&Jacobsen, 2010 Økonomiske analyser 5, 11-16

Heggedal&Jacobsen, 2011 Resource&EnergyEconomics33/4,913-37

Klimakur2020, 2010 Rapport TA2590 KLIF (MDIR)

Martinsen, 2011 Energy Policy 39/6, 3327-36