Measuring Up: How Do We Align Aid With Priorities? David Wheeler - - PowerPoint PPT Presentation
Measuring Up: How Do We Align Aid With Priorities? David Wheeler - - PowerPoint PPT Presentation
Measuring Up: How Do We Align Aid With Priorities? David Wheeler Center for Global Development Allocation Calculus N W R Objective Function 0 i 1 i S = Scale of donor activity V i p R S 1 i
N i i
R W
1
i i p
V i i
S R
1
N i T i i
I B c
1
N i p V i
i i
S W
1
1
j j i i j i
p V p V S S
* *
Objective Function Vulnerability Reduction Budget Constraint Welfare Function First-Order Conditions
S = Scale of donor activity V = Scale of vulnerability p = Project success prob. c = Unit cost of donor activity I = Total sectoral budget
Allocation Calculus
Allocating Resources: Where? How Much?
Main Ideas
- Some Representation for All Countries
- Policies and Institutions (PI) Affect Project Outcomes
- Likelihood of Project Success is Proportional to PI
- Valuation of Impacts is the Same Everywhere
Allocating Resources: Where? How Much? If we expect all projects to succeed:
Country Share of Total Investment = Country Share
- f Total Problem
To account for different success rates:
Country Share of Total Investment
=
Country Share
- f Total Problem,
Weighted by Success Rate
Measuring Up: World Bank Investment Priorities 2000-2004
Deaths From Waterborne Disease
Effectiveness of Policy and Institutions: CPIA Ratings
Probability of Project Success: OED Ratings
Optimal Water and Sanitation Investment
Actual Water Supply and Sanitation Loans*
*Investments included are the environmental components, including non-bank co-financing of currently active World Bank water supply and sanitation projects and urban environmental projects and a fraction of environmental institutional development projects.
Overall Impressions
- Problems Have Very Different Patterns
- Big Gaps Between Actual & Optimal
- Actual Loans Are Too Concentrated
- Some Regional Imbalances Are Clear
Measuring Up: GEF Resource Allocation 2004-2005
Combined Biodiversity Threat Areas
WWF Ecoregions
Measuring Up: Allocating Adaptation Assistance 2011
Sea-Level Rise, 2007 - 2100
50 100 150 200 250 300
1 2 3 4 5
Sea-Level Rise (Meters) LDC Population Displaced (Millions)
Source: Global Warming and Agriculture: Impact Estimates by Country William R. Cline CGD, 2007
Not Available Losses Gains 25+ % 15-25% 5-15% 0-5% 25+ % 15-25% 5-15% 0-5%
Agricultural Productivity Loss: 2008-2080 (IPCC Model A2)
Projected Agricultural Productivity Through 2080 Developing-Country Regions and Sub-Regions*
- 15
15 30 45 60 20 40 60 80 100
Country Rank Productivity Loss (%)
* William R. Cline, Global Warming and Agriculture (2007)
200 400 600 800 1000 20 40 60 80 100
Country Rank
Flood Risk Damage Index, 1960-2000 Distribution of Developing Countries*
* Wheeler, Center for Global Development (2007)
Global Climate Risk, 1970-2008: Probability of Being Affected by an Extreme Weather Event* (Per 100,000)
500 1500 2500 3500 4500
1970 1975 1980 1985 1990 1995 2000 2005
* 11-Year Centered Moving Average
% of Countries With Extreme Weather Impacts 1970-2008*
10 20 30 40 50 60 70 1970 1980 1990 2000 2010
Africa Asia Americas Europe
* 5-Year Moving Average
*
Extreme Weather Sea Level Rise Agricultural Productivity Loss Adaptation to Climate Change: Three Views of Assistance Priorities (1) Physical Impacts*
Source: Center for Global Development
Extreme Weather Sea Level Rise Agricultural Productivity Loss Adaptation to Climate Change: Three Views of Assistance Priorities (2) Vulnerability*
Source: Center for Global Development
*
Extreme Weather Sea Level Rise Agricultural Productivity Loss Adaptation to Climate Change: Three Views of Assistance Priorities (3) Project Factors*
Source: Center for Global Development
*
Africa: Physical Climate Impacts
Source: Center for Global Development
Africa: Physical Climate Impacts
Source: Center for Global Development
Africa: Physical Climate Impacts
Source: Center for Global Development
Africa: Physical Climate Impacts
Source: Center for Global Development