Analytical Tools To Assist Climate-Smart Agriculture Policy Making
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Transcript of Analytical Tools To Assist Climate-Smart Agriculture Policy Making
Analytical Tools
TO ASSIST CSA POLICY MAKING
M A R K W . R O S E G R A N TENVIRONMENT AND PRODUCTION TECHNOLOGY DIVISIONINTERNATIONAL FOOD POLICY RESEARCH INSTITUTE, WASHINGTON, DC
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
productivity
resilience/adaptation
low GHGemission
CLIMATE-SMARTAGRICULTURE COMPONENTS
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
TECHNOLOGY ASSESSMENT
climatesmart?
Yield risk under CC
Yield bounce after shock
GHG emission against baseline
Technology characterization
CLIMATE-SMARTNESS
ProductivityResilience
GHG Emission
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
CLIMATE-SMARTNESS
ProductivityResilience
GHG EmissionOverall
Decision-makers will need to choose technologies or investments accounting for tradeoffs.
TECHNOLOGY ASSESSMENT
Need for multi-objective decision-making tools that rationalize the evaluation of choices.
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
WHAT DOES CSA MEAN FOR… the country as a whole? other non-ag land-uses? the global economy?
ECONOMIC FEASIBILITYASSESSMENT
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
Economicallyviable?
Large-scale effects+ other land-uses
Wide uptake ofCSA options
Policy scenario analysis
CLIMATE-SMARTNESS
ProductivityResilience
GHG EmissionOverall
Global economic forces
ECONOMIC FEASIBILITY ASSESSMENT
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
WHEREGeospatial Baseline & Targeting
WHICHCommodity Priority Setting
WHATTechnology Characterization & Inventory
+Integrated Impact Assessments
SUPPORTING TOOLS
HOWPolicy Simulation & Scenario-Making Tools
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
POLICY SIMULATIONEXAMPLE
Simulating the aggregate effects of crop choices by individual risk-averse farmers due to climate change.
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
AdoptionForum SustainabilityPrioritization
1
2
3
Prioritizingagricultural
commodities according to CSA criteria
Stakeholder engagement and scenario exploration
Economic effects of wide-scale adoption of
CSA
Evaluation of long-term
economic & financial
sustainability
POLICY-MAKING ENABLING ENVIRONMENT
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
Rainfall and Drought History
Commodity Priority
Setting Tool
Agritech Toolbox
SUPPORTING TOOLSEXAMPLES
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
CSA INDICATORS FOR COUNTRY LEVELEXAMPLES
Water efficientmanagement
Soil fertility management
TECHNOLOGY
Road quality and density
Accuracy of weather and climate forecasts
INFRA-STRUCTURE
Social safety nets
Planning with CC risk assessment
POLICY
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
CONCLUDINGREMARKS
CSA forces us to shifts the emphasis from policies that aim at a single targets to policies that have multiple objectives.
CSA changes the planning time horizon: policies and analyses necessarily spanlong time periods of 20-30 years.
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
CONCLUDINGREMARKS
Therefore, CSA requires the use of integrated modeling frameworks thatwork at multiple geographical scales to:
1) Prioritize investments and provide an accurate understanding of tradeoffs
2) Design long-term economically and politically sustainable policies
analytical toolsTO ASSIST CSA POLICY MAKING | GFIA 2015
CONCLUDINGREMARKS
More importantly, given its complexity, CSA requires an even closer collaboration between policy makers and research community.