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동의어 포함
Title page 1
Contents 6
Acknowledgments 10
About the Authors 12
Key Findings and Messages 14
Executive Summary 19
Abbreviations 31
1. Unveiling Harm's Way 33
INTRODUCTION 33
A HAZARD-PRONE REGION 34
MORE POOR PEOPLE IN HARM'S WAY? 42
FLOODS IN CITIES: ARE POOR INDIVIDUALS ALWAYS MORE EXPOSED? NOT NECESSARILY 51
ONE IN FOUR POOR PEOPLE LIVE IN HIGH-VALUE ECOSYSTEMS, MANY EXPOSED TO CLIMATE HAZARDS 55
PEERING INTO THE FUTURE 57
NOTES 61
REFERENCES 63
2. Risk of Climate Hazards 67
INTRODUCTION 67
HOW MANY PEOPLE IN LAC ARE VULNERABLE TO CLIMATE HAZARDS, AND WHO ARE THEY? 67
CLIMATE HAZARDS RISK: THE IMMEDIATE IMPACT ON INCOMES, ASSETS, AND POVERTY 72
CLIMATE HAZARDS RISK: LONG-TERM CONSEQUENCES 77
NOTES 86
REFERENCES 87
3. Protecting Poor People from Climate Hazard Risks 92
THE CASE FOR ADAPTATION NOW 92
PREVENTION 97
INSURANCE 114
COPING 121
STRONGER TOGETHER: THE POWER OF COMBINED INSTRUMENTS AND SYSTEMS FOR CLIMATE ADAPTATION 130
NOTES 133
REFERENCES 134
4. Improving Adaptation 141
INTRODUCTION 141
INCENTIVES 142
INFORMATION AND TECHNOLOGY 147
INVESTMENTS 155
INSTITUTIONS 162
NOTES 171
REFERENCES 172
APPENDIX A. Background Papers 179
Glossary 181
FIGURE ES.1. Number of casualties and people affected by climate disasters, 1970-2024 22
FIGURE ES.2. Impact of climate shocks on the country poverty gap, by type of social protection system 25
FIGURE 1.1. Components of climate hazard risk 34
FIGURE 1.2. Frequency of climate hazards in LAC 36
FIGURE 1.3. Number of climate disasters in LAC, by subregion, 2003-23 36
FIGURE 1.4. Estimates and projections of levels of urbanization by major world regions, 1850-2050 51
FIGURE 1.5. Historical average temperature across LAC, 1900-2020 58
FIGURE 1.6. Frequency of Atlantic cyclones in the past 50 years, by maximum wind speed threshold (duration 〉2 days) 58
FIGURE 2.1. Number of people vulnerable to poverty induced by structural factors or by types of risk 69
FIGURE 2.2. Percentage of poor individuals and individuals with CRI vulnerability 70
FIGURE 2.3. Average income required per person to overcome gap between postshock income and the poverty line, by risk source 70
FIGURE 2.4. Number of casualties and affected people by climate disasters, 1970-2024 79
FIGURE 2.5. Deaths from and population affected by climate hazards, per 100,000 population, by country income level, 1970-2024 80
FIGURE 3.1. Conceptual framework to understand adaptation 94
FIGURE 3.2. Deaths by hurricane category and country-level capacity to provide climate services 98
FIGURE 3.3. Number of LAC countries by capacity to provide climate services and early warning systems 99
FIGURE 3.4. Poorer households search or receive less warning information against floods 100
FIGURE 3.5. Effects of floods on population 103
FIGURE 3.6. Annual decrease in flood-related mortality 104
FIGURE 3.7. Flood-related deaths in cities protected and not protected by a dam 104
FIGURE 3.8. City-level economic impact of floods and mitigation via critical infrastructure 105
FIGURE 3.9. Mean municipal change in household living standards (HLS) of FONDEN beneficiary municipalities a year after being affected... 117
FIGURE 3.10. Poverty and risk-induced vulnerability to poverty 124
FIGURE 3.11. Percentage of vulnerable households with social assistance 125
FIGURE 3.12. Impact of climate shocks on the country poverty gap, by type of social protection system 128
FIGURE 4.1. Key factors to improve adaptation responses 142
FIGURE 4.2. Model forecasts of Hurricane Beryl's trajectory 148
Boxes 7
Box 1.1. Climate hazards data 37
Box 1.2. Poverty measurement and poverty maps in LAC 46
Box 1.3. Exposure to severe flood risk across socioeconomic groups 50
Box 1.4. Summary of attribution studies 59
Box 2.1. Channels through which climate hazards can affect incomes in the short term 73
Box 2.2. The hidden mortality costs of droughts in LAC: Pollution from power swaps 79
Box 2.3. The macroeconomic consequences of materialized climate hazards 84
Box 3.1. Heat waves and inequality (continued) 107
Box 3.2. Caribbean Catastrophe Risk Insurance Facility: Balancing benefits and challenges 117
Box 3.3. Nicaragua's experience with a hybrid insurance approach 119
Box 3.4. Few climate risk financing mechanisms are catered to poor individuals 126
Box 3.5. Paraguay's conditional cash transfer program, Tekoporã, and its asset-building graduation program, Tenonderã 130
Box 4.1. Warning and trust to reduce heat-related mortality 151
Box 4.2. Public asset databases and prototype risk models in LAC 153
Box 4.3. Climate adaptation financing sources in LAC 155
Box 4.4. Unlocking private sector participation in insurance schemes outside LAC 159
Box 4.5. How to judge the welfare benefits of adaptation policies 161
Box 4.6. Fairness in adaptation investments: Weighing the impact on different groups 162
Box 4.7. Anticipatory transfers and funding to adapt safety nets against climate hazards 168
Box 4.8. Reducing drought vulnerability and clientelism in Brazil 170
Maps 9
MAP ES.1. Hazard exposure and poverty rates in LAC ($6.85, 2017 PPP) 21
MAP 1.1. Population exposure to climate hazards 41
MAP 1.2. Climate hazard exposure and poverty rates in LAC (-$6.85, 2017 PPP) 48
MAP 1.3. Distribution of flood hazard and multidimensional poor population in Cali, Colombia 53
MAP 1.4. Poverty rates in areas of high-value ecosystems 56
MAP 3.1. Overlays of monetary poverty and protected areas (as share of total land) in LAC 111
FIGURE B1.3.1. Households in high-risk flood areas by wealth quintiles and rural and urban areas, Dominican Republic, 2021 50
FIGURE B2.1.1. An asset-based framework to explain household income generation 73
Box Maps 9
MAP B1.2.1. Poverty rates in LAC using ($6.85, 2017 PPP), 2020-24 47
MAP B1.4.1. Attribution studies on the role of climate change in extreme weather events in LAC 60
MAP B3.1.1. Land surface temperature and SUHI severity, multidimensional poverty, and their overlap for Barranquilla, Colombia,... 107
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