Economy-wide Modelling of Climate Targets

Economy-wide modelling of climate
targets and policies
Niven Winchester
Climate change is ‘
a man-made disaster of global
scale
’ and ‘
our greatest threat in thousands of years
Sir David Attenborough
Outline
Economy-wide policy modelling
New Zealand climate policy
The 
C
limate 
P
o
L
icy 
AN
alysis (CPLAN) model
Distributional impacts
Conclusions
Economy-wide Policy Modelling
Computable general equilibrium (CGE) models for climate policy
analysis include:
Economic, energy and agricultural sectors and their interactions
Greenhouse gas (GHG) emissions linked to activities
New and emerging technologies
‘No free lunch’ constraints
Climate and other policies
Built on national statistics, economic theory, and estimates of
behavioural responses
Include ‘everything’ but are not ‘models of everything’
New Zealand Climate Policy
The 
Zero Carbon Act
 
provides a framework for New Zealand to
develop and implement climate change policies
The Act sets long-term targets for two baskets of greenhouse gases
Reduce biogenic methane by 24-27% below the 2017 level by 2050
Gross emissions equal removals by forestry (net zero) for other GHGs
Established an independent Climate Change Commission (CCC)
Contracted development of tools for climate policy analysis
The 
C
limate 
P
o
L
icy 
AN
alysis (
CPLAN
) Model
New Zealand-focused recursive-dynamic CGE model of economic activity
and GHG emissions developed for the Climate Change Commission
Used to evaluate emission budgets and policies to meet New Zealand’s
long-term climate goals
Builds on the Economic Projection and Policy Analysis (EPPA) model at the
Massachusetts Institute of Technology.
Represents 36 sector, all greenhouse gases (CO
2
 CH
4
, N
2
O, F-gases) and new
technologies
Informed by/linked to sectoral models
Linked to a distributional impacts module to evaluate impacts on
subgroups
7
CPLAN sectors
2014 emissions matrix, MtCO
2
e
 
Abatement opportunities are represented by (1)
substitution among fuels, and (2) substitution from fuels to
capital-labor (price-induced energy efficiency
improvements)
Illustrative production function
Emissions reduction options
Explicit technologies
EVs for private and commercial transport
Methane-reducing technology for dairy, beef & sheep agriculture
Biomass for process heat
Electrification of process heat
CCS for geothermal electricity
Fuel switching
Price-driven energy efficiency
Exogenous energy efficiency and emissions intensity improvements
Reducing output
Emission pathways to meet Zero Carbon Act targets
Emission prices are reasonable…
….under the specified technology assumptions
Large increases in wind and solar generation…
and carbon capture and storage for geothermal electricity
Household transport is fully electrified and 65% of commercial road
transport is electrified by 2050
Distributional Impacts
The 
D
istribution 
I
mpacts 
M
odule – 
E
mployment (
DIM-E
) downscales
results from CPLAN to estimate employment impacts for subgroups
Uses the Integrated Data Infrastructure
Conclusions and next steps
CPLAN is a bespoke, New Zealand-focused CGE model for climate
policy analysis
CPLAN can be linked with the DIM-E to estimate distributional
impacts
Next steps
Document CPLAN and DIM-E (in progress)
Improve model functionality and expand climate policy modelling capacity in
New Zealand (never ending)
Useful quotes
If we have data, let’s look at data. If all we have are opinions, let’s go
with mine
 (Jim Barksdale)
If you torture the data enough, nature will always confess
 (Ronald
Coase)
All models are wrong, some are useful
 (George Box)
The best we can do is ‘fail better’ (Samuel Beckett)
Slide Note
Embed
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Climate change is a pressing global issue, with significant implications for our future. The Economy-wide Policy Modelling in New Zealand focuses on developing effective climate policies through models like the Climate PoLicy ANalysis (CPLAN) and the Zero Carbon Act. These models incorporate economic, energy, and agricultural sectors, along with greenhouse gas emissions and new technologies. By setting long-term targets and establishing independent commissions, countries like New Zealand aim to mitigate climate change impacts and transition towards a sustainable future.

  • Climate change
  • Policy modelling
  • New Zealand
  • Zero Carbon Act
  • Climate policies

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  1. Economy-wide modelling of climate targets and policies Niven Winchester

  2. Climate change is a man-made disaster of global scale and our greatest threat in thousands of years Sir David Attenborough

  3. Outline Economy-wide policy modelling New Zealand climate policy The Climate PoLicy ANalysis (CPLAN) model Distributional impacts Conclusions

  4. Economy-wide Policy Modelling Computable general equilibrium (CGE) models for climate policy analysis include: Economic, energy and agricultural sectors and their interactions Greenhouse gas (GHG) emissions linked to activities New and emerging technologies No free lunch constraints Climate and other policies Built on national statistics, economic theory, and estimates of behavioural responses Include everything but are not models of everything

  5. New Zealand Climate Policy The Zero Carbon Act provides a framework for New Zealand to develop and implement climate change policies The Act sets long-term targets for two baskets of greenhouse gases Reduce biogenic methane by 24-27% below the 2017 level by 2050 Gross emissions equal removals by forestry (net zero) for other GHGs Established an independent Climate Change Commission (CCC) Contracted development of tools for climate policy analysis

  6. The Climate PoLicy ANalysis (CPLAN) Model New Zealand-focused recursive-dynamic CGE model of economic activity and GHG emissions developed for the Climate Change Commission Used to evaluate emission budgets and policies to meet New Zealand s long-term climate goals Builds on the Economic Projection and Policy Analysis (EPPA) model at the Massachusetts Institute of Technology. Represents 36 sector, all greenhouse gases (CO2CH4, N2O, F-gases) and new technologies Informed by/linked to sectoral models Linked to a distributional impacts module to evaluate impacts on subgroups

  7. CPLAN sectors Transport Road Transport Air transport Water transport Private transport Agriculture Dairy farming Beef and sheep farming Other animal products Horticulture Forestry Fishing Energy-intensive manufacturing Chemical, rubber & plastic products Cement manufacturing Non-ferrous metals (e.g., aluminium) Iron and steel Energy extraction & distribution Crude oil extraction Refined oil products Coal extraction Natural gas extraction and distribution Coal electricity Gas electricity Hydroelectricity Other sectors Mining of metal ores Dairy products Meat products Other food processing Wood processing Paper and paper products Textiles, clothing and footwear Trade Construction Services Wind electricity Solar electricity Geothermal electricity Electricity transmission and distribution 7

  8. Transport model Other policies Forestry model CPLAN Electricity model Agricultural model

  9. Sector rmk b_s oap hor frs fsh col cru gas oxt oil ecoa egas eoth tnd crp nmm nfm i_s fmp mil mtp ofd w_p mvh omf rtp wtp wtpi atp atpi cns afs ser c hht CO2-oil 0.464267 0.001806 0.048165 0.336352 0.004266 0.059178 0.061786 0.001025 0.221889 0.002716 0.004217 0.144417 0.034797 0.019994 0.170273 0.145296 0.000463 4.87E-06 0.118288 0.000109 0.064308 0.000362 0.63794 0.481291 0.027016 0.002214 0.767559 0.1108 CO2-other CH4 0.582579 14.99999 3.191652 0.401176 14.40323 1.892139 0.018002 0.66634 0.019177 0.096779 0.022425 1.857706 0.004154 0.01425 0.000391 0.001322 0.225358 0.307959 0.005147 0.297816 0.40215 0.000647 0.000397 0.000604 1.214258 0.645509 0.165902 0.095597 1.303193 0.027978 0.043736 0.067492 0.337045 0.043169 0.068852 0.0044 0.05191 0.112919 0.032769 0.020059 0.016855 0.004529 0.098899 0.55402 1.208638 0.003971 0.013577 0.333922 0.012939 0.262773 0.114649 0.074426 0.334479 0.050362 0.004735 0.000215 0.000726 0.093346 0.036617 0.021395 6.655738 0.043785 0.000919 0.319047 9.32E-05 0.000807 0.92748 0.845624 0.00022 2.57542 0.350806 0.022116 0.001619 0.02773 0.087727 0.00272 0.304213 0.271897 0.104145 0.064129 0.276429 0.025517 6.348731 CO2-gas CO2-coal N2O F-gases 0.00992 0.00428 7.61E-05 0.00704 0.007199 3.022442 0.00164 0.000244 0.253569 0.8305 0.538385 1.73238 0.320019 0.000296 0.000516 0.002781 0.004876 0.00082 0.001438 0.000893 0.001566 0.031062 0.049483 0.04119 4.08E-05 0.058465 1.320392 0.00706 0.054508 0.000725 0.002468 0.00196 0.000147 0.007012 0.00045 0.001181 0.002064 4.069908 0.118901 0.074597 0.12737 0.001113 2014 emissions matrix, MtCO2e 8.55E-05 0.000176 0.073405 4.73E-05 5.64E-05 0.00832 0.02132 0.091961

  10. Illustrative production function Abatement opportunities are represented by (1) substitution among fuels, and (2) substitution from fuels to capital-labor (price-induced energy efficiency improvements)

  11. Emissions reduction options Explicit technologies EVs for private and commercial transport Methane-reducing technology for dairy, beef & sheep agriculture Biomass for process heat Electrification of process heat CCS for geothermal electricity Fuel switching Price-driven energy efficiency Exogenous energy efficiency and emissions intensity improvements Reducing output

  12. Emission pathways to meet Zero Carbon Act targets Biogenic methane Other GHGs (net) 35 45 40 30 35 25 30 GHGs (MtCO2e) GHGs (MtCO2e) 20 25 20 15 15 10 10 5 5 0 0 Policy Reference Policy Reference

  13. Emission prices are reasonable .under the specified technology assumptions Biogenic methane emissions price Other GHG emissions price 120 400 350 100 300 Carbon Price (NZ$/tCO2e) Carbon Price (NZ$/tCO2e) 80 250 60 200 150 40 100 20 50 0 0

  14. Large increases in wind and solar generation and carbon capture and storage for geothermal electricity

  15. Household transport is fully electrified and 65% of commercial road transport is electrified by 2050 Household electric road transport Commercial electric road transport 100 Percent of travel by electric vehciles 100 Percent of travel by electric vehciles 90 90 80 80 70 70 60 60 50 50 40 40 30 30 20 20 10 10 0 0 Policy Reference Policy Reference

  16. Distributional Impacts The Distribution Impacts Module Employment (DIM-E) downscales results from CPLAN to estimate employment impacts for subgroups Uses the Integrated Data Infrastructure DIM-E Results CPLAN Employment impacts for ANZIC 3-digit industries Employment impacts by subgroups (regions, income groups, ethnicity, age groups etc.) Employment impacts for 36 sectors Worker characteristics by industry

  17. Conclusions and next steps CPLAN is a bespoke, New Zealand-focused CGE model for climate policy analysis CPLAN can be linked with the DIM-E to estimate distributional impacts Next steps Document CPLAN and DIM-E (in progress) Improve model functionality and expand climate policy modelling capacity in New Zealand (never ending)

  18. Useful quotes If we have data, let s look at data. If all we have are opinions, let s go with mine (Jim Barksdale) If you torture the data enough, nature will always confess (Ronald Coase) All models are wrong, some are useful (George Box) The best we can do is fail better (Samuel Beckett)

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