Global Climate Change and its Distributional Impacts Maurizio Bussolo, Rafael de Hoyos, Denis Medvedev and Dominique van der Mensbrugghe The World Bank “Future of the.
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Global Climate Change and its Distributional Impacts Maurizio Bussolo, Rafael de Hoyos, Denis Medvedev and Dominique van der Mensbrugghe The World Bank “Future of the Global Economy” 11th Annual Conference on Global Economic Analysis Helsinki, 12-14 June, 2008 ENVISAGE: Model features • Standard dynamic global CGE. • Flexible aggregation (regions and sectors) and time frame. • 2001 GTAP-based base year including IEA-based energy demand and trade (MTOE) and estimates of CO2 emissions by sector and fuel (shifting to 2004). • Integrated climate module with links from emissions to radiative forcing to temperature change. • Flexible energy demand system. • Flexible emissions control—carbon taxes, caps, cap and trade, demand exemptions. Energy demand nest Energy bundle Electric bundle Non-electric bundle Existing and alternative technologies Oil and gas bundle Coal bundle Coal and alternative technologies Oil bundle Oil and alternative technologies Gas bundle Gas and alternative technologies Three scenarios • Baseline, or business-as-usual, with climate change damages • Baseline without climate change damages. • Global mitigation scenario—targetting 500 ppm concentration by 2050 Key baseline assumptions • UN population forecast—labor force growth equated to growth of working age population (15-65). • Savings rate driven by growth and youth and elderly dependency rates. • Trend productivity in agriculture is exogenous (2.5% per annum), with temperature-based damage function. • Productivity in manufacturing is higher than in services (2%). • Productivity is calibrated through 2015 and then fixed. • Autonomous energy efficiency improvement (AEEI) increases by 1% per annum (in all regions and sectors). • Capital account is exogenous. Baseline GDP 8 160 Developing growth rate, left-axis 7 140 6 120 5 100 4 80 High-income growth rate, left-axis 3 60 2 40 1 20 0 0 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050 Developed, right-axis Source: Simulations with World Bank’s ENVISAGE model. $2001 trillion Percent per annum Developing, right-axis Baseline Emissions 4.0 40 World growth rate, left-axis 3.5 35 3.0 30 2.5 25 2.0 20 1.5 15 1.0 10 0.5 5 0.0 0 GtC Percent per annum Developing, right-axis 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050 Source: Simulations with World Bank’s ENVISAGE model. High-income, right-axis Concentration, forcing and temperature 6 500 5 Concrentation ppm Concentration Forcing 400 4 300 3 200 2 Temperature 100 1 0 0 2001 2010 2020 2030 2040 2050 Radiative forcing (W/m2) and temperature (°C) 600 Impacts of Climate Change Real income, difference from baseline with no damage, trillions of 2001US$ 0.0 -0.2 -0.4 Other developing India China High income -0.6 -0.8 -1.0 -1.2 -1.4 -1.6 -1.8 -2.0 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050 Impacts of Climate Change Real income, perce nt difference from baseline with no damage in 2050 India China Other LAC energy exporters Sub Saharan Africa Rest of developing East Asia Rest of South Asia MENA Energy exporters Rest of Europe and Central Asia Rest of LAC Russia Brazil Indonesia and Malaysia EU 27 and EFTA Rest of high income Japan United States Rest of MENA Canada -7 -6 -5 -4 -3 -2 -1 0 1 2 Climate change damages and food imports Perce nt difference in nominal food imports in 2050 relative to baseline India Rest of South Asia Sub Saharan Africa Rest of developing East Asia Other LAC energy exporters Rest of LAC Indonesia and Malaysia Rest of MENA MENA Energy exporters Canada Rest of Europe and Central Asia Rest of high income Russia China EU 27 and EFTA Brazil United States Japan -50 -40 -30 -20 -10 0 10 Percent reduction in emissions Perce nt reduction in CO2 emissions relative to baseline in 2050 China India World total Rest of Europe and Central Asia Rest of LAC Rest of developing East Asia United States Russia Rest of high income Canada MENA Energy exporters Indonesia and Malaysia Rest of South Asia Sub Saharan Africa EU 27 and EFTA Rest of MENA Other LAC energy exporters Japan Brazil -90 -80 -70 -60 -50 -40 -30 -20 -10 0 $93 per ton of carbon in 2050 Real income losses/gains from mitigation Perce nt change in real income relative to baseline in 2050 India China Other LAC energy exporters Climate change damages Sub Saharan Africa Rest of developing East Asia Mitigation Rest of South Asia MENA Energy exporters Rest of Europe and Central Asia Rest of LAC Russia Brazil Indonesia and Malaysia EU 27 and EFTA Rest of high income Japan United States Rest of MENA Canada -8 -6 -4 -2 0 2 4 Density of log(household per capita income or consumption, 1993 PPP) Global income distribution 0.5 Observed (2000) BaU (2050) BaUnd (2050) 0.4 0.4 0.3 0.3 0.2 0.2 0.1 0.1 0.0 0 Note: Source: 2 4 BaU = baseline, BaUnd = baseline with no damages. Simulations with World Bank’s GIDD model. 6 8 10 Climate change impacts on poverty Percent of total number of poor 100 80 60 40 Poor in agriculture Poor in non-agriculture 20 0 2000 Note: Source: BaU, 2050 BaUnd, 2050 GBL, 2050 BaU = baseline, BaUnd = baseline with no damages, GBL = global mitigation scenario. Simulations with World Bank’s GIDD model. Growth incidence of climate damages and mitigation Percentage change in real income or consumption 20 No damages from climate change Global mitigation via uniform tax 15 10 5 0 -5 0 Source: 20 40 Simulations with World Bank’s GIDD model. 60 80 100 Incidence of damages from climate change Composition of 10 percent of global population most affected by climate change Non-agricultural households in Eastern Europe and Central Asia Agricultural households in Latin America and the Caribbean Non-agricultural households in Latin America and the Caribbean Agricultural households in South Asia Non-agricultural households in South Asia Source: Simulations with World Bank’s GIDD model. Take away messages • Standard SRES ‘worse case’ baseline scenarios are too optimistic • Staying at 550 ppm will require a major effort • Negative effects from climate change on agricultural output will be significant with income, trade and poverty impacts • No major cost from ‘modest’ mitigation efforts • Poor are hardest hit from climate change • Caveats -- many