E.g. WEM, WAM, WPI
Waste
Waste reduction
Waste diversion
By landfill type and year
By landfill type
LFG historical rates
Source: MfE waste team
Biological
C&D
Bulk waste/"Domestic"
Food
Garden
Industrial
Wood
Inert
Biological
C&D
Bulk waste/"Domestic"
Food
Garden
Industrial
Wood
Inert
Source: MfE waste team
LFG wet open
LFG wet closed
LFG dry open
LFG dry closed
No LFG
LFG wet open
LFG wet closed
LFG dry open
LFG dry closed
No LFG
Source: MfE waste team
Source: MfE waste team
Source: MfE waste team
Historical and projected baseline
Historical and projected baseline
Source: MfE waste team
Source: MfE waste team
Source: MfE waste team
Source: MfE waste team
Waste by type (kt)
Diversion (kt)
LFG rate by dest type
Landfill placement
DDOCm deposited
DDOCm accumulated
DDOCm decomposed
Methane correction factor
DDOC by waste type
k-values by waste type
CH4 generated
CH4 fraction
Non-oxidised proportion
CH4 recovered
Emissions from landfill
Compost (kt)
AD (kt)
Emissions from compost
Compost emissions factor
Emissions from AD
AD emissions factor
Open burning (kt)
Emissions from open burn
Open burning EFs
Incineration (kt)
Recycling (kt)
Domestic/industrial split
Emissions from wastewater
E.g. WEM, WAM, WPI
Ag
Exo stocking rate
Uptake (if exogenous), cost, productivity impact for:
- Low-CH4 breeding
-Methane inhibitor
-Methane vaccine
-Bovea
-Seaweed - bromoform
-GM Rye-Grass
-Ecopond
-Nitrification inhibitor
-GM Rye-Grass
- Low-CH4 breeding
-Methane inhibitor
-Methane vaccine
-Bovea
-Seaweed - bromoform
-GM Rye-Grass
-Ecopond
-Nitrification inhibitor
-GM Rye-Grass
1 = Measures get paid the same marginal price
2 = Measures get paid their costs.
Both approaches use HWEN approach to monies available to pay for measures.
2 = Measures get paid their costs.
Both approaches use HWEN approach to monies available to pay for measures.
Pastoral mit subsidy
Urease inihibitor scenario
0 defaults to MPI baseline
Productivity improvement
Production SR relationship
For dairy, sheep and beef:
CH4 Enteric
CH4 Manure mgm't
N20 Ag. Soils
CH4 from drymatter
Prop'n costs which are capital
CH4 Enteric
CH4 Manure mgm't
N20 Ag. Soils
CH4 from drymatter
Prop'n costs which are capital
Source: MPI agricultural projections
-Dairy
-Sheep n beef
-Exotic forest
-Horticulture
-Arable
-Other farm
-Native p89
-Retired
-Dairy
-Sheep n beef
-Exotic forest
-Horticulture
-Arable
-Other farm
-Native p89
-Retired
Source: MPI agricultural projections
WEM and WAM Enteric, Manure, Ag. Soils, other
WEM and WAM Enteric, Manure, Ag. Soils, other
Source: MPI agricultural projections
Historical and projected for urea, other N, and indirect
Historical and projected for urea, other N, and indirect
Source: Inventory for historical, MPI for projected.
CH4 % for manure mgnt and burning
CH4 % for manure mgnt and burning
Source: MPI agricultural projections
Dairy cattle
Beef cattle
Sheep
Deer
Goat
Swine
Poultry broiler
Poultry layer
Other poultry
Lamb
Dairy cattle
Beef cattle
Sheep
Deer
Goat
Swine
Poultry broiler
Poultry layer
Other poultry
Lamb
Source: MPI agricultural projections
Baseline meat production
Source: MPI agricultural projections
Source: Stats NZ Agricultural Production Survey
For dairy, sheep and beef:
CH4 Enteric
CH4 Manure mgm't
N20 Ag. Soils
CH4 from drymatter
Prop'n costs which are capital
CH4 Enteric
CH4 Manure mgm't
N20 Ag. Soils
CH4 from drymatter
Prop'n costs which are capital
For dairy, sheep and beef:
CH4 Enteric
CH4 Manure mgm't
N20 Ag. Soils
CH4 from drymatter
Prop'n costs which are capital
CH4 Enteric
CH4 Manure mgm't
N20 Ag. Soils
CH4 from drymatter
Prop'n costs which are capital
Source: Dairy NZ economic survey.
By region
-Milking cows (thousand)
-Effective Area (kha)
-Milk solids production (million kg)
-EBITR, including effect of free allocation ($/ha,yr)
By region
-Milking cows (thousand)
-Effective Area (kha)
-Milk solids production (million kg)
-EBITR, including effect of free allocation ($/ha,yr)
Source: Beef and Lamb economic report
By region
-Land area (ha x10^3)
-Stock units (x 10^3)
-Meat prod'n (kt)
-Revenue ($/ha, nominal)
-Mean and quintile EBITR ($/ha/yr, nominal)
By region
-Land area (ha x10^3)
-Stock units (x 10^3)
-Meat prod'n (kt)
-Revenue ($/ha, nominal)
-Mean and quintile EBITR ($/ha/yr, nominal)
Source: Stats NZ APS for historical, MPI for projected
-Total non-urea fertiliser
-Total urea fertiliser
-Total fertiliser use
-Total non-urea fertiliser
-Total urea fertiliser
-Total fertiliser use
Ongoing costs ($m/yr)
Establishment costs ($m)
Years to recover establishment costs
Year costs quoted for
Establishment costs ($m)
Years to recover establishment costs
Year costs quoted for
Source: various hort reports cited
- Discount factor
- Output after conversion
- Discounted production array
- 2019 Revenue ($/ha/yr)
- 2019 Costs (incl. depreciation) ($/ha/yr)
- 2019 EBIT ($/ha/yr)
- Costs excl. depreciation ($/ha/yr)
- Prop'n of non-dep'n costs which are related to harvest
- Harvest-related costs ($/ha/yr)
- Non-harvest-related ($/ha/yr)
Initial up-front cost ($/ha)
Proportion to be capitalised
Depreciation element
- Discount factor
- Output after conversion
- Discounted production array
- 2019 Revenue ($/ha/yr)
- 2019 Costs (incl. depreciation) ($/ha/yr)
- 2019 EBIT ($/ha/yr)
- Costs excl. depreciation ($/ha/yr)
- Prop'n of non-dep'n costs which are related to harvest
- Harvest-related costs ($/ha/yr)
- Non-harvest-related ($/ha/yr)
Initial up-front cost ($/ha)
Proportion to be capitalised
Depreciation element
exogenous (0) or endogenous (1)
Mitigation price signal
From year, approach (exogenous or same as ETS price), and level of free allocation
Only if enabled
Regional forestry costs/ha
Regional wood revenue/ha
Regional carbon revenue/ha
Regional forestry EBIT
Regional hort EBIT
Dairy MS/cow
Total milksolids
Dairy emissions/head W/O mit
Dairy emissions/head incl.mit
Dairy mitigation uptake
Dairy manure emissions/head
# dairy cows
Dairy land use switching
Dairy soil emissions/ha
Dairy land area
Dairy bio emissions
Project dairy economics
Milksolids/ha
Mitigation cost
Dairy emissions cost
Dairy revenue
Dairy costs
Dairy EBIT-sensitivity
SnB stocking rate
SnB meat/SU
SnB mitigation uptake
Meat production
SnB stock units
Meat production/ha
SnB land area
SnB mitigation impact
SnB enteric/SU
SnB Emissions/SU incl. mit
SnB manure emissions %
SnB soil emissions %
SnB emissions/ha
Crown land has very low stocking rates so the reduction in ag emissions is less
SnB bio emissions
SnB EBIT
SnB revenue
SnB non-carbon costs
SnB mitigation costs
SnB land value
SnB EBIT quantiles
SnB switching equation
Forestry switching limits
Manley equation or exogenous
Dairy land use switching
Price level relative to most recent historical year for dairy, meat and horticulture
Manley equation or exogenous
Manley equation or exogenous
SnB land area
Fertiliser emissions/ha
Fert reduction from mngt
Total fertiliser emissions
Exo hort scen
Project inventory
ETS
Frst
Price level relative to most recent historical year
Pulp log prices
Exo exotic forest
Exo native forest
Exo deforest
Exo land retirement
Greenwood moisture per
Dry wood energy density (GJ/t)
Standard rotation year
Years get carbon credits up to for standard rotation
Without HWP - used for ETS
With HWP - used for inventory reporting
Forest thin year
Discount rates
GJ/MWh
Dry wood energy density (GJ/t)
Standard rotation year
Years get carbon credits up to for standard rotation
Without HWP - used for ETS
With HWP - used for inventory reporting
Forest thin year
Discount rates
GJ/MWh
Based on analysis of LUC splits in Sheep & Beef historical stats
Source: MPI LULUCF model
For P89,P90 planted and natural
-Total tC/ha
- Annual increment
- Percent of P89 NF converted from GWB
For P89,P90 planted and natural
-Total tC/ha
- Annual increment
- Percent of P89 NF converted from GWB
From year, approach (exogenous or same as ETS price), and level of free allocation
Forestry EBIT
Non-carbon revenue
Forestry carbon revenue
Forestry costs/ha
Land-use change approach
Price-driven native afforest
Total native afforest
Total exotic afforest
The year up to which an exotic forest would be credited with NZUs.
Including registration type (stock-change or averaging)
Source: Scion (Peter Hall, 2023)
Regional PV of:
-Relative yield
-Establishment
-Annual overhead
-Thinning cost
-Roads and landings
-Harvest cost
Regional PV of:
-Relative yield
-Establishment
-Annual overhead
-Thinning cost
-Roads and landings
-Harvest cost
Source: MPI
Exotic / planted forest
Native / natural forest
Proportion of exotic forest that is non-harvested
Non-harvested pine
Deforestation (ha)
P89 Exotic, P90 Exotic, P89 Native, P90 Native
Prop'n of deforested native which is regenerating P89 & P90
Exotic deforestation age P89 & P90
Non CO2 CH"
Non CO2 N2O
Exotic / planted forest
Native / natural forest
Proportion of exotic forest that is non-harvested
Non-harvested pine
Deforestation (ha)
P89 Exotic, P90 Exotic, P89 Native, P90 Native
Prop'n of deforested native which is regenerating P89 & P90
Exotic deforestation age P89 & P90
Non CO2 CH"
Non CO2 N2O
Source: MPI website
Historical P89 and P90 exotic hectares by vintage and region
Historical P89 and P90 exotic hectares by vintage and region
Deforestation
Source: MPI website
Historical P89 and P90 exotic hectares by vintage and region
Historical P89 and P90 exotic hectares by vintage and region
Project harvest ha
Land area under forest
Afforestation removals
Source: MPI LULUCF model
For P89,P90 planted and natural
-Total tC/ha
- Annual increment
- Percent of P89 NF converted from GWB
For P89,P90 planted and natural
-Total tC/ha
- Annual increment
- Percent of P89 NF converted from GWB
Deforest emissions
ETS stock change surrenders
ETS stock change supply
ETS avg accounting supply
Including registration type (stock-change or averaging)
Split by ETS category
Harvest volumes
HIP
Biomass supply
Biogas supply
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