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Global Foresight Modeling
for Food and Agriculture
Results from the IMPACT Model
Keith Wiebe
k.wiebe@cigar.org
International Food Policy Research Institute
Washington DC, 18 December 2019
Exploring alternative futures to 2050
Scenarios of population, income, technology, climate, & policy
Collaboration in foresight modeling
CGIAR foresight team
AfricaRice, Bioversity, CIAT, CIFOR, CIMMYT,
CIP, ICARDA, ICRAF, ICRISAT, IFPRI, IITA, ILRI,
IRRI, IWMI, and WorldFish
AgMIP
PIK, Purdue, Wageningen, EC/JRC, IIASA,
NIES, USDA/ERS, and others
Other partners
Oxford, CSIRO, World Bank, IFAD, ADB,
NEDA, KREI, FAO, OECD, and others
The IMPACT system of models
Increased investment in ● agricultural R&D
● irrigation and water-use efficiency
● improved access to markets
Live demo
Enhancing foresight for
global food systems change
Visit:
www.foresight4food.net
Foresight and Scenarios in Simple Terms
Scenario 1: Crocodile lunch
Scenario 2: Lucky escape
Scenario 3: Smooth ride
Scenario 4: unseen dead end
FORESIGHT
Food Systems Model
Link to Blog and
Diagram
Framework for Understanding Foresight
Link to Framework
Document
Food system foresight workshops in Ghana, Zambia and Nepal
Foresight should
be demand
driven…
Three different examples
of demand:
Program Level – AVISA
General Context and
Decision Support – BID
Specific Decision Support -
WB
Climate Impacts in LAC
• Developed in
conjunction
with the World
Bank, foresight
analyses have
served as both
context and
decision
support
information.
Several more
on the way.
The role of foresight tools in
food and agriculture-related decision-making.
Some examples at the European Commission
Webinar Launching the Global Foresight for Food and Agriculture Tool
Webinar, 18 December 2019
Ignacio Pérez Domínguez
Joint Research Centre, Directorate D Sustainable Resources
Unit D4 Economics of Agriculture
Economic model support to CAP
Outlook Trade
BioeconomyClimate Change
Operational Models for Foresight work
CAPRI
agriculture, static,
EU-regional
AGLINK-COSIMO
agriculture, dynamic, global
AGMEMOD
agriculture, dynamic, EU Member
States
IFM-CAP
agriculture, static,
EU farms, supply
MAGNET/GTAP
all sectors, ag. focus, static, global
GLOBIOM
agriculture and forestry, global
POLES
energy, EU Member States
hard link
soft link
iterative link
Climate Change and CAP: EcAMPA
(Economic assessment of GHG mitigation policy options for EU agriculture)
20% emission target,
no subsidies
20% emission target,
80% subsidies
Domestic production Effects, Beef Supply, % change versus 2030 baseline
Climate Change: AGMIP & PESETA
 JRC contribution to the AGMIP project (www.agmip.org)
 PESETA: Projection of Economic impacts of climate change in Sectors of the
EU based on bottom-up Analysis.
 Main model used: CAPRI
 Shared Socioeconomic Pathway 2: "business as usual" prospective view about
the world, including assumptions about macroeconomic developments to
2050
 Climate Change Effect: assessed through the potential effects on agricultural
yields of a RCP8.5 (i.e. "high climate change") climate trajectories
Pure biophysical
effect
Market-adjusted
effect
The European Commission’s science
and knowledge service
Joint Research Centre
THANK YOU !
ignacio.perez-dominguez@ec.europa.eu
Q & A
Launching the Global Foresight for Food and Agriculture Tool

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Launching the Global Foresight for Food and Agriculture Tool

  • 1.
  • 2. Global Foresight Modeling for Food and Agriculture Results from the IMPACT Model Keith Wiebe k.wiebe@cigar.org International Food Policy Research Institute Washington DC, 18 December 2019
  • 3. Exploring alternative futures to 2050 Scenarios of population, income, technology, climate, & policy
  • 4. Collaboration in foresight modeling CGIAR foresight team AfricaRice, Bioversity, CIAT, CIFOR, CIMMYT, CIP, ICARDA, ICRAF, ICRISAT, IFPRI, IITA, ILRI, IRRI, IWMI, and WorldFish AgMIP PIK, Purdue, Wageningen, EC/JRC, IIASA, NIES, USDA/ERS, and others Other partners Oxford, CSIRO, World Bank, IFAD, ADB, NEDA, KREI, FAO, OECD, and others
  • 5. The IMPACT system of models Increased investment in ● agricultural R&D ● irrigation and water-use efficiency ● improved access to markets
  • 7.
  • 8. Enhancing foresight for global food systems change Visit: www.foresight4food.net
  • 9. Foresight and Scenarios in Simple Terms Scenario 1: Crocodile lunch Scenario 2: Lucky escape Scenario 3: Smooth ride Scenario 4: unseen dead end FORESIGHT
  • 10. Food Systems Model Link to Blog and Diagram
  • 11. Framework for Understanding Foresight Link to Framework Document
  • 12. Food system foresight workshops in Ghana, Zambia and Nepal
  • 13.
  • 14. Foresight should be demand driven… Three different examples of demand: Program Level – AVISA General Context and Decision Support – BID Specific Decision Support - WB
  • 16. • Developed in conjunction with the World Bank, foresight analyses have served as both context and decision support information. Several more on the way.
  • 17.
  • 18. The role of foresight tools in food and agriculture-related decision-making. Some examples at the European Commission Webinar Launching the Global Foresight for Food and Agriculture Tool Webinar, 18 December 2019 Ignacio Pérez Domínguez Joint Research Centre, Directorate D Sustainable Resources Unit D4 Economics of Agriculture
  • 19. Economic model support to CAP Outlook Trade BioeconomyClimate Change
  • 20. Operational Models for Foresight work CAPRI agriculture, static, EU-regional AGLINK-COSIMO agriculture, dynamic, global AGMEMOD agriculture, dynamic, EU Member States IFM-CAP agriculture, static, EU farms, supply MAGNET/GTAP all sectors, ag. focus, static, global GLOBIOM agriculture and forestry, global POLES energy, EU Member States hard link soft link iterative link
  • 21. Climate Change and CAP: EcAMPA (Economic assessment of GHG mitigation policy options for EU agriculture) 20% emission target, no subsidies 20% emission target, 80% subsidies Domestic production Effects, Beef Supply, % change versus 2030 baseline
  • 22. Climate Change: AGMIP & PESETA  JRC contribution to the AGMIP project (www.agmip.org)  PESETA: Projection of Economic impacts of climate change in Sectors of the EU based on bottom-up Analysis.  Main model used: CAPRI  Shared Socioeconomic Pathway 2: "business as usual" prospective view about the world, including assumptions about macroeconomic developments to 2050  Climate Change Effect: assessed through the potential effects on agricultural yields of a RCP8.5 (i.e. "high climate change") climate trajectories Pure biophysical effect Market-adjusted effect
  • 23. The European Commission’s science and knowledge service Joint Research Centre THANK YOU ! ignacio.perez-dominguez@ec.europa.eu
  • 24. Q & A

Notas do Editor

  1. Include GREENING report?