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Impact Of Greenhouse Gas Abatement Targets On Agricultural Activity

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National Reduction Target 20% to 30% on 2005 levels by 2020 ... sunk cost, culling highly improbable. Irish Ag is export focused ... – PowerPoint PPT presentation

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Title: Impact Of Greenhouse Gas Abatement Targets On Agricultural Activity


1
Impact Of Greenhouse Gas Abatement Targets On
Agricultural Activity
  • Patrick Gillespie
  • Rural Economy Research Centre (RERC)
  • Teagasc
  • RERC Seminar
  • 21st September, 2009

2
  • Introduction
  • Background
  • Methodology
  • Results
  • Conclusion/Discussion

3
Introduction
  • National Reduction Target 20 to 30 on 2005
    levels by 2020
  • Member States decide how to meet targets
  • Emissions Trading Scheme
  • Non-ETS sectors
  • No specific reduction targets for Agriculture (to
    date), however
  • Prominence of Agriculture makes sig. reduction
    target likely

4
Introduction
  • What effect will various reductions have?
  • Policy Question - What is an appropriate target
    for Agriculture?
  • Ultimately a Political decision, this analysis
    informs that debate
  • What profile will Agriculture have in a
    sustainable Irish economy?
  • ESRI ISus project
  • FAPRI-Ireland GHG as subcomponent
  • What effect has the downturn had already w.r.t.
    GHGs from Irish Ag?
  • Silver Lining Hypothesis?
  • Latest Update Sept. 2009
  • Preliminary Results

5
Background
  • Agriculture is a significant component (gt25) of
    total Irish GHG Emission
  • Ambitious reduction targets are likely
  • Livestock based production is dominant in Ireland
  • Bovines are a major GHG source (CH4 Methane and
    N2O Nitrous Oxide)
  • Agriculture is not part of the Emissions Trading
    Scheme (ETS)
  • Therefore, no prospect for buying further
    emissions rights in this sector
  • other non-ETS sources include transport,
    households, services, small industrial
    installations waste
  • Irish Agriculture constituted about 40 of
    non-ETS sector in 2006

6
Background
7
Background
8
Background
  • IPCC EPA Classifications
  • EPA responsible for GHG accounts
  • EPA follows IPCC methodology
  • Tiered Hierarchy
  • Default Emission Factors
  • Research into Country/Region specific EFs
    encouraged
  • Default EFs used for all except cattle

9
Background
  • Data Sources
  • Primarily Central Statistics Office
  • DAFF
  • SEI
  • EPA and Teagasc
  • Main Reporting Documents
  • NIR - National Inventory Reports (Govt. Public)
  • CRF - Common Reporting Format (IPCC)

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Methodology
  • FAPRI-Ireland GHG model
  • A partial equilibrium economic model of Irish
    agriculture
  • The model simulates over a 10/15 year horizon and
    projects
  • crop areas harvested and animal inventories
  • commodity supply and use balances
  • input and output prices
  • Input use and expenditures
  • sector output, input and income accounts
  • The model is nested within a larger model of EU
    and global agriculture
  • This allows it to incorporate market and policy
    developments at EU (CAP reform) and International
    levels (WTO)
  • Model converts agricultural activities to
    emissions

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Methodology
  • Interactions with ESRI models
  • Inputs from HERMES
  • Population, Price Deflators, Industrial Wage
    Rate, GDP, and Exchange Rates
  • Outputs to ISus
  • CH4, N2O, NH3, Output, Fertilisers, Pesticides,
    Energy
  • FAPRI-Ireland GHG spreadsheet based, ESRI models
    use MATLAB
  • Full conversion to MATLAB originally planned
  • Resource constraints (software licenses) made
    that infeasible
  • Now GHG calculation for Agriculture happens in
    the Excel based model, and outputs are exported
    back to the larger ISus model

23
Methodology
Model Interactions
24
Methodology
  • Commodity model provides
  • Livestock numbers, enterprise areas and input
    applications
  • Livestock emission factors provide
  • amount of methane produced by the animal on an
    annual basis
  • vary by animal type (dairy cow highest, horses,
    goats lowest)
  • Emissions factors for fertiliser animal waste
  • Converted to Methane and Nitrous Oxide
  • GWP factors used to bring to common base of
    Carbon Dioxide equivalents (CO2 Eq.)

25
Methodology
26
Meeting National Objectives
  • New targets for Irish GHG emissions for 2020
  • 10 reduction on 2005 (target about 17.1 Mt CO2
    Eq.)
  • 20 reduction on 2005 (target about 15.3 Mt CO2
    Eq.)
  • 30 reduction on 2005 (target about 13.3 Mt CO2
    Eq.)

27
Results - Reference Run 2020 compared with 2005
  • Total cattle population ? 11
  • Beef production ? 10
  • Cattle prices ?13
  • Prices rise as EU production falls
  • Operating surplus ? 5
  • GHG reduction of 10 almost met

28
Results - 30 GHG Reduction2020 compared with
2005
  • Total cattle population ? 35
  • Beef production ? 32
  • Cattle prices ?16
  • Prices rise as EU production falls
  • Value of cattle output ?
  • Total input expenditure ? more
  • Operating surplus ? 2
  • GHG reduction of 30 achieved

29
Reference Run Results2020 compared with 2005
30
Results and discussion
  • GHG emissions reduction scenario
  • 30 reduction in agricultures GHG emissions by
    2020
  • Very large fall in suckler cow numbers required
    if adjustment were only to occur in suckler cow
    numbers
  • By 2020 the suckler herd would have to decline by
    over 70
  • Such a decline leads to a 35 decline in total
    cattle numbers and total beef production
  • Beef output value would decline by 23

31
Results and discussion
  • Reference Scenario Results
  • By 2020 Agricultural GHG emissions projected to
    decline by 8.5 versus 2005
  • Decline in emissions largely due to projected
    reductions in cattle numbers
  • This decline driven by projected contraction in
    suckler cow numbers
  • Dairy cow numbers increase as milk quota
    increases and is eliminated in 2015
  • Increased dairy cow numbers lead to increased GHG
    emissions but these are more than offset by
    reduced suckler cow numbers

32
Results and discussion
  • Update Reference Run
  • GHG emissions now projected to be slightly lower
    in 2020 (? 0.17 relative to original reference
    run)
  • Very little change from original reference run,
    probably down to
  • Income inelastic demand
  • Export focus in agriculture
  • Sunk costs (investment in Cattle)
  • Results still being worked through

33
Conclusions
Decomposition of CO2-equivalent GHG Emissions
34
Conclusions

35
Conclusions
World Ag Model
  • Irish Agri sector is highly export focused
  • 90 of beef exported
  • 80 of dairy products exported
  • Need a global dimension to modelling framework
  • Prospects for Irish agriculture are largely
    influenced by factors external to Ireland

EU Ag Model
Ireland Ag Model
Macro Models
GHG Model
36
Conclusions
  • Adoption of new abatement technologies will
    reduce the need for policy based GHG reduction
    strategies
  • However, such technologies will not get us all
    the way to the targets
  • Reductions in the levels of Irish agricultural
    activity are likely to be necessary, but such
    reductions will not realistically occur in the
    short term and policy must reflect this.
  • Our analysis illustrates the magnitude of the
    reductions in levels of agricultural activity
    that would be required in the absence of new
    abatement technologies

37
Conclusions
  • The effect of the downturn is less than dramatic
  • Food demand is income inelastic
  • Cattle are a not a short term investment and are
    a sig. sunk cost, culling highly improbable
  • Irish Ag is export focused
  • Some markets not as badly effected
  • Sterling depreciation hurts value of exports to
    UK
  • Even apparent worsening of value of exports to UK
    doesnt necessarily correspond to drastic
    reduction in animal production
  • Little if any silver lining to this cloud

38
Conclusions
  • Assumptions and Uncertainties
  • Policy uncertainty is a major unknown
  • Agricultural policy is frequently changing
  • Environmental Policy
  • Global (e.g. WTO)
  • EU (e.g. CAP Reform, milk quota)
  • Domestic
  • Main driver in history
  • Agricultural policy
  • Main driver in the future
  • market based supply and demand factors
  • Macro outlook, exchange rates, population growth

39
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