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SGM

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Title: SGM


1
SGM
P.R. Shukla
2
Second Generation Model
3
Top-Down Economic Models
  • Project baseline carbon emissions over time for a
    country or group of countries
  • Find the least-cost way to meet any particular
    emissions constraint
  • Provide a measure of the carbon price, in dollars
    per metric ton
  • Provide some measure of the overall cost of
    meeting an emissions target

4
Key SGM Characteristics
  • Computable General Equilibrium
  • 12 Global Regions (Developed in International
    Collaborations)
  • Multiple Greenhouse Gases
  • Internally Generated Demographics
  • Vintaged Capital Stocks
  • Explicit Energy Technology
  • Land Resource Constraints

5
SGM 2000 Structure and Sectors
6
Computable General Equilibrium
  • Based on Economic Principles.
  • All economic activities are included in some
    sector of the model.
  • Market equilibrium -- ALL markets must clear
    simultaneously.
  • Maximization Behavior -- consumers, utility
    producers, net worth.

7
SGM Regions
  • Annex I
  • United States
  • Canada
  • Western Europe
  • Japan
  • Australia
  • Former Soviet Union
  • Eastern Europe
  • Non Annex I
  • China
  • India
  • Middle East
  • Mexico
  • South Korea
  • Rest of World

8
Multiple Greenhouse Gases
  • CO2
  • CH4
  • CO
  • N2O
  • NOx
  • SOx
  • NMHC

9
Internal Demographics
  • Age structure gender of the population is
    developed internally using
  • fertility rates
  • survival rates
  • net migration rates
  • Labor force participation rates can be age
    gender specific.

10
SGM Inputs Outputs
  • Factors of Production
  • Capital,
  • Labor,
  • Land,
  • Agriculture,
  • Energy,
  • Materials.
  • Model Outputs
  • Agriculture,
  • Energy,
  • Materials,
  • Savings,
  • Consumption
  • GDP.

11
Energy Focus
  • 8 Energy Sectors
  • Resources and Reserves of Energy Resources
  • Vintaged Energy Using Technologies

12
SGM Is Part of GCAM
  • SGM is part of the Global Change Assessment
    Modeling (GCAM) System, an integrated assessment
    model
  • computes concentrations of greenhouse bases such
    as CO2,
  • can compute DT and sea level rise.

13
Production Decisions
  • Production occurs out of existing capacity and
    its vintage
  • limited by previous investments,
  • then current technologies
  • Retirement of old capacity occurs when
  • Cannot cover operating expenses
  • Old age -- fixed life, or
  • Policy -- forced retirement

14
Production Functions

)
,
,
,

,
,
,
(
a
a
a
a
M
E
L
K
f
Q
Mt
Et
Lt
Kt
t
t
t
t
t
  • Technical coefficients control change in
    input-output ratios over time.
  • Energy coefficient is similar to AEEI (Autonomous
    Energy Efficiency Improvement).

15
New Capacity
  • Investment is based on expected profitability.
  • available technology
  • price expectations,
  • policy expectations
  • Price Policy Expectations can be either forward
    or backward looking.

16
Investment
  • Capital market balances supply and demand of
    loanable funds.
  • Investment resources distributed among
    investments with positive expected net
    profitability
  • no resources flow to expected losers
  • the higher the expected rate of return, the
    greater the share of the investment pool

17
Energy Production
  • Energy production out of reserves.
  • Additions to reserves from the resource base.
  • additions depend on expected profitability
  • resource availability.

18
Energy Technology
  • Hierarchical model.
  • sectors,
  • sub-sectors,
  • technologies.
  • Explicit energy technologies can be introduced
    into the model.
  • e.g. natural gas combined cycle turbines for
    power generation.

19
Issues the SGM Can Address
  • Assessing impacts of greenhouse gas emissions
    mitigation policies on GDP, consumption and
    energy.
  • Value of emissions rights trading.
  • Value of when flexibility.
  • Relative costs and benefits to regions of the
    world of alternative protocol formulations.

20
SGM Strengths
  • Built specifically for climate policy analysis.
  • Multiple greenhouse gases.
  • Part of an Integrated Assessment model -- e.g.
    can compute CO2 concentrations or DT.
  • General equilibrium -- all markets clear.
  • Detailed energy supply sector.
  • Can be run in alternative foresight modes.
  • Internal demographics.
  • International Collaborations.

21
SGM Limitations
  • Not a business cycle model -- does not estimate
    inflation or unemployment policy impacts.
  • Limited energy end-use detail.
  • Provides no sub-national disaggregation for the
    United States.

22
SGM Data Requirements
23
Model Integration
Top-Down Economic Model (integration tool)
international trade
Region A
Region B
Bottom-Up
Ecosystem
Energy Technology
Impacts
Climate Scenarios
24
India Results
25
Real GNP and components
Reference Scenario
26
Energy Consumption
Reference Scenario
27
Electricity by sub-sector
Reference Scenario
28
CO2 Emissions
Reference Scenario
1000
900
800
700
600
Teragrams carbon
500
400
300
200
100
0
1990
1995
2000
2005
2010
2015
2020
2025
2030
Base
29
Policy scenarios
  • Alternate growth scenarios
  • Low 5
  • High 7
  • Alternate tax scenarios
  • Fixed tax 25, 50, 100 per tC
  • Increasing tax

30
Policy scenarios
  • Advanced technology scenarios
  • High Solar
  • Medium Solar with 5 tax
  • Medium Solar with 25 tax

31
Real GNP
32
Energy consumption
33
Energy Mix Low Growth
34
Energy Mix High Growth
35
Results
Tax Scenarios
36
Energy Consumption
Tax Scenarios
37
Energy Consumption Fuel-wise
Tax Scenarios
38
Energy Consumption 100 Tax
Compare Ref.
39
CO2 Emissions
Tax Scenarios
40
Change in GNP over base case
Tax Scenarios
41
Change in GNP over base case
Tax Scenarios
42
CO2 Emissions Cumulative
Tax Scenarios
43
Results
Advance Technology Scenarios
44
CO2 Emissions
45
CO2 Emissions
46
Solar in Electricity
47
Change in GNP over base case
48
Change in GNP over base case
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