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Food Supply and Demand in Asia: Challenges and Opportunities for Policy and Technology Interventions Mark W. Rosegrant Director Environment and Production Technology Division International Conference on Asian Food Security (ICAFS 2014) Grand Copthorne Waterfront Hotel Singapore August 21-22, 2014 Outline Drivers of agricultural growth and food security Scenario modeling methodology Baseline projections of supply, demand and food security Alternative technology scenarios Conclusions and policy implications Drivers of Agricultural Growth and Food Security Demand and Supply Drivers Demand drivers – Population growth: 9 billion people in 2050 – Urbanization - World 2008 = 50% urban; 2050 = 78%; - Asia: 2008 = 44% 2050 = 64% – Income growth – Biofuels and bioenergy – GHG mitigation and carbon sequestration Supply drivers – Water and land scarcity – Climate change – Investment in agricultural research – Science and technology policy Scenario Modeling Methodology The IMPACT3 Modeling Suite Linked system of hydrological, water use, crop simulation, and partial equilibrium economic models IMPACT Global Hydrological Model Climate Forcing Crop Management DSSAT Crop Models • Effective P Potential ET IRW Pop & GDP growth Area & yield growth IMPACT • • IMPACT Water Simulation Model • • Irrigation Water Demand & Supply WATER STRESS Water Projections Water demand and supply for domestic, industrial, livestock and irrigation users Water supply reliability • Food Projections Crop area / livestock numbers, yields, and production Agricultural commodity demand Agricultural commodity trade and prices Mal-nourishment DSSAT Crop Models Simulate plant growth and crop yield by variety day-by-day, in response to • Temperature • Precipitation • Soil characteristics • Applied nitrogen • CO2 fertilization DSSAT-based simulations at crop-specific locations (using local climate, soil and topographical attributes) Baseline Projections of Supply, Demand and Food Security Annual Average Growth of GDP per capita and Population between 2010 and 2050 – Baseline Projections 6 5 4 Population 3 2 2.5 1 0 Percent Growth Rate per Year Percent Growth Rate per Year Per Capita GDP 2 1.5 1 0.5 0 Source: IFPRI IMPACT Model, September 2011 simulations World Crop Yields Annual Average Growth Rate, Historical and Projected 1970-1990 (FAO) 1990-2010 (FAO) 2010-2050 (IMPACT Baseline) Percent Growth Rater per Year 3.5 3 2.5 2 1.5 1 0.5 0 Maize Rice Soybeans Wheat Source: IFPRI IMPACT Model, September 2011 simulations Asia: Cereal Yield Growth Projected Baseline Annual Average Growth Rate Percent Growth Rater per Year 1.60 1.40 1.20 1.00 0.80 0.60 0.40 0.20 0.00 China India Central Asia South East Asia Other East Asia Other South Asia Source: IFPRI IMPACT Model, September 2011 simulations Asia: Total Cereal Crop Area Baseline Projections 2010 2050 120 Million Hectares 100 80 60 40 20 0 China India Central Asia South East Asia Other East Asia Other South Asia Source: IFPRI IMPACT Model, September 2011 simulations Asia: Per Capita Demand - Baseline Projections Cereal for Food 2050 200 180 160 140 120 100 80 60 40 20 0 Meat 2010 2050 120 100 China India Central Asia South East Other East Other Asia Asia South Asia Kg per Capita Kg per Capita 2010 80 60 40 20 0 China India Central Asia South East Other East Other South Asia Asia Asia Source: IFPRI IMPACT Model, September 2011 simulations Asia: Projected Net Trade in Cereals Baseline Projections China India Central Asia South East Asia Other East Asia Other South Asia 40 Million Metric Tons 20 0 -20 -40 -60 -80 -100 2010 2050 -120 -140 Source: IFPRI IMPACT Model, September 2011 simulations Change (%) in World Prices, 2010-2050, Baseline Projections Cereals 60 Meat 40 30 20 60 10 50 0 Rice Wheat Maize Other Grains Soybeans Sorghum Percent Change Percent Change 50 40 30 20 10 0 Beef Pork Lamb Poultry Source: IFPRI IMPACT Model, September 2011 simulations Asia: Projected Net Trade in Meat Baseline Projections China India Central Asia South East Asia Other East Asia Other South Asia 5 Million Metric Tons 0 -5 -10 2010 2050 -15 -20 Source: IFPRI IMPACT Model, September 2011 simulations Asia: Population at the Risk of Hunger Baseline Projections 2010 2050 250 Millions 200 150 100 50 0 China India Central Asia South East Asia Other East Asia Other South Asia Source: IFPRI IMPACT Model, September 2011 simulations Alternative Food and Water Scenarios to 2050—Specific Technology Scenarios Potential Impact of Agricultural Technology Adoption on Global Food Security Impacts of agricultural technologies on farm productivity, prices, hunger, and trade flows were site-specifically estimated using DSSAT biophysical model linked with IMPACT global partial equilibrium agriculture sector model. Rosegrant, M.W., J. Koo, N. Cenacchi, C. Ringler, R. Robertson, M. Fisher, C. Cox, K. Garrett, N.D. Perez, and P. Sabbagh. 2014. Food security in a world of natural resource scarcity: The role of agricultural technologies. IFPRI, Washington, D.C. http://www.ifpri.org/publication/food-security-world-natural-resource-scarcity Technology Assessment Scope Global & Regional Eleven technologies Three Crops • Wheat • Rice • Maize No-Tillage Integrated Soil Fertility Management Organic Agriculture Precision Agriculture Crop Protection Drip Irrigation Sprinkler Irrigation Water Harvesting Drought Tolerance Heat Tolerance Nitrogen Use Efficiency Crop model (DSSAT) linked with Global Partial Equilibrium Agriculture Sector Model (IMPACT) DSSAT Technology strategy (combination of different practices) Corresponding geographically differentiated yield effects IMPACT Food demand and supply Effects on world food prices and trade Food security and malnutrition Global DSSAT Results Yield Change (%) – Maize, Rice, & Wheat, 2050 vs. Baseline Source: Rosegrant et al. 2014 Regional DSSAT Results, Maize: NUE, ISFM, and No-till, 2050 vs. Baseline Source: Rosegrant et al. 2014 Regional DSSAT results, Maize: Drought Tolerance, Heat Tolerance and Crop Protection (disease), 2050, compared to baseline Source: Rosegrant et al. 2014 Environmental Impacts: Change in Site-specific Water Use – Irrigated Maize, Wheat (Compared to conventional furrow irrigation) Prominent impacts of 28% less water applied 22% more water productivity Improved Irrigation Technologies Increased water savings (less water used) Increased water productivity (more biomass produced per unit water input) Source: Rosegrant et al. 2014 IMPACT Economic Results Adoption Pathway Ceilings (%) Technology Ceiling Drought tolerance 80 Heat tolerance 75 Nitrogen-use efficiency 75 No-till 70 Integrated soil fertility management 40 Water harvesting 40 Drip irrigation 40 Sprinkler irrigation 40 Precision agriculture 60 Crop protection-diseases 50 Crop protection-weeds 50 Crop protection-insects 50 Percent Change in Total Production, Developing Countries: Maize, Rice, Wheat, 2050 with Technology vs. 2050 Baseline (IMPACT) Source: Rosegrant et al. 2014 Price Effects of Technologies, 2050, compared to Baseline: Global – Combined Technologies 0.0 -10.0 Maize Rice Wheat -20.0 -30.0 -40.0 -50.0 -60.0 No-Till Heat Tolerance Integrated Soil Fertility Mgt Water Harvesting Irrigation - Drip Drought tolerance Nitrogen Use Efficiency Precision Agriculture Irrigation - sprinkler Crop Protection Source: Rosegrant et al. 2014 Food Security Effects of Technology relative to 2050 Baseline Malnourished Children Pop. at-risk-of-hunger 0.0 -5.0 -10.0 -15.0 -20.0 -25.0 -30.0 -35.0 -40.0 No till Drought tolerance Heat tolerance Nitrogen use efficiency Integrated soil fertility mgt Precision agriculture Water harvesting Sprinkler irrigation Drip irrigation Crop Protection - insects Source: Rosegrant et al. 2014 Percent Change in Harvested Area, 2050, Compared to Baseline: Global – Combined Technologies 0.0 Maize Rice Wheat -10.0 Percentage -20.0 -30.0 -40.0 -50.0 -60.0 No-Till Nitrogen Use Efficiency Water Harvesting Crop Protection Drought tolerance Integrated Soil Fertility Mgt Irrigation - sprinkler Heat Tolerance Precision Agriculture Irrigation - Drip Source: Rosegrant et al. 2014 Conclusions and Policy Implications Building Sustainable Productivity Growth and Resilient Agricultural and Food Systems 1. Accelerate investments in agricultural R&D for productivity growth 2. Promote complementary policies and investments 3. Reform economic policies 1. Accelerate Investments in Agricultural R&D for smallholder productivity Invest in technologies for Global public spending on agric. R&D, 2008 (%) Crop and livestock breeding • High-yielding varieties • Biotic- and abiotic-stress resistant varieties Modernize breeding programs in developing countries through provision of genomics, high throughput gene-sequencing, bioinformatics and computer GMOs where genetic variation does not exist in the crop • Nitrogen use efficiency • Drought, heat and salinity tolerance • Insect and disease resistance Source: ASTI 2012 2. Promote Complementary Policies and Investments Invest in rural infrastructure and irrigation Increase access to high-value supply chains and markets e.g. fruits, vegetables, and milk Regulatory reform: Reduce hurdles to approval and release of new cultivars and technologies • Remove impediments (e.g. restrictive “notified” crop lists, excessive testing and certification requirements, foreign investment barriers, ad hoc biosafety decision-making) Extension of farming systems: minimum tillage, integrated soil fertility management, integrated pest management, precision agriculture 3. Reform Economic Policies Support open trading regimes to share climate risk Use market-based approaches to manage water and environmental services combined with secure property rights Reduce subsidies that distort production decisions and encourage water use beyond economically appropriate levels • Fertilizer, energy, water subsidies • Savings invested in activities that boost farm output and income