the future of multilateral concessional finance dec 2014 odi london mod hr
TRANSCRIPT
The Future of Multilateral Concessional Finance
Chris Garroway & Helmut Reisen
A REPORT PRODUCED FOR THE BMZ DISCUSSION SERIES ON THE FUTURE OF CONCESSIONAL FINANCE
The Future of Multilateral Concessional Finance
• Background:
• End-of-poverty prospects & declarations 2030• => corollary: IDA+++ eligibility• => as (large) countries would graduate• => demand for concessional funding (CF) down • => raises strategic questions for IFIs:
roles, mandates, & instruments.
• Our study aims at informing those questions
The Multilateral Donor Dilemma
• When Do We Have a Multilateral Donor Dilemma?
Donor Dilemma No Donor Dilemma
1 Poverty ends in LICs & MICs
4 Poverty only in ´stable´ LICs
2 Poverty only in ´fragile´ LICs
5 Poverty in MICs with little taxcapacity
3 Poverty also in MICs with goodcapacity for redistribution
6 Redefinition of eligibility status and of IFI mandates
*Poverty is defined as extreme poverty below $US 1.25 PPP.
The Future of Multilateral Concessional Finance
• Content:
• determinants of future CF demand, NOT supply • poverty scenarios for multilateral CF eligibility• general strategic implications for IFIs• actionable options for IDA, ADF, AfDF, IMF
• (IDB-FSO already reformed => no discussion)• (No supply analysis as too speculative)
Growth Optimism: Justified?• 1870-1990:
´divergence, big time´
• Exceptional 2000s?:
• China >10% in 2000s
• Drop to 7% =>
• LICs growth down 2%
• OECD money & flows?
• Crises => reducedOECD output potential
• Risk of stag-deflation
• IMF-WEO: too rosyduring 2007-2014
-2%
-1%
0%
1%
2%
3%
4%
5%
6%
0 1000 2000 3000 4000 5000 6000
Aver
age
annu
al gr
owth
rate
, GDP
per
capi
ta
GDP per capita
Convergence in non OECD economies, 1960-2000
Persistent (extreme) poverty & growing relative deprivation
• Growth alone not enoughto 'end poverty', inequality optimismneeded too:– Edward-Sumner 2013
– Lakner, Negre & Prydz"shared prosperity" simulations
• "Globalisation" has leftbehind extreme poor(and some relative poor)
Source: Milanovic, 2013
Source: Lakner, Negre, Prydz, 2014
MICs : capacity to mobilise domestic resources &vulnerability to exogenous shocks and global public "bads”
• Marginal Tax Rate Required to Close Poverty Gap
- tax rates on the ´non-poor by US standards´ (>13$/day) -
Source: Garroway & Reisen (2014) based on Ravaillon (2012)
Disaster Hazards and
Poverty Hotspots
ODI (2013), The geography of climate change, disasters and climate extremes 2030
Demand for concessional financeDeterminants Measure/Proxy
National Productivity and Welfare• GNI per capita• GDP per capita, PPP• HH survey means
Extent of poverty and deprivation• <US$1.25 per day headcount• <60% mean headcount• Lorenz curve parameters
Capacity to mobilize domestic financialresources
• MTR to close poverty gap byredistribution from >US13 per day
• Tax effort
Vulnerability to exogenous shocks andglobal public "bads", like climate change
• Disaster damage costs• UN Economic Vulnerability Index• Physical vulnerability to climate
change index
We project a bi-modal distribution of concessional finance eligibility will persist
05
10152025303540
<US$1,035 <US$1,205 US$1,206 - $1,965 >US$1,965
Low income Lower middle incomeLower middle income Lower and uppermiddle income
operational historical
Below cutoffs Above cutoffs
2012 2025
36
20
6 14
<37
Number of eligible countries
Geography of poverty, 2025:poor countries or poor people?
India, 141.7
Democratic Rep of the Congo, 64.1
Nigeria, 62.3 Tanzania, 24.1
Madagascar, 23.0
Indonesia, 19.6
Kenya, 14.7
Zambia, 13.9
Pakistan, 9.9
Uganda, 9.8
32 other countries, 123.2
Millions of people living on less than US$1.25 per day
Mobilize domestic resources?
0%
5%
10%
15%
20%
25%
30%
Nig
eri
aN
icar
agua
Con
go, R
ep.
Sene
gal
Paki
stan
Mad
agas
car
Mal
iB
hut
anT
ajik
ista
nC
ambod
iaS
udan
Mal
div
es
Nepa
lS
ri L
anka
Yem
en
Sie
rra
Leon
eC
ent
rafr
ique
Lao
PD
RT
ogo
Afg
han
ista
nN
iger
India
Hon
dur
asB
angl
adesh
Eth
iopi
aC
ongo
, D
.R.
Uga
nda
Kyr
yz R
ep.
Arm
eni
aR
wan
da
Gui
nea
Cam
ero
on
Observed tax ratio Predicted, if tax effort =1
Source: Calculations based on World Bank, 2014
Tax revenues as a per cent of GDP
Magnitude of damage costsexceeds concessional flows in Asia
7.880
4.300
1.0990.9880.8400.5210.5010.3020.3000.1610.122
1.3261.567
1.982
0.0510.056
1.015
0.0710.1600.0370.0070.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
8.000
9.000
Disaster damage cost, 2012/2013
IDA borrowing FY13
Source: Calculations based on EM-DAT database, 2014
0
50
100
150
200
250
300
350
400
1950 1960 1970 1980 1990 2000 2010
Global cost in billions of current US$
General Implications for Multilateral Concessional Windows
We discuss…
1. Shrinking Multilateral Aid
2. Redefining Eligibility Criteria
3. Smoothening transition periods
4. Introducing Subsovereign Allocation
5. Opening Windows: Global Public Goods
Redefining Eligibility Criteria
• Current practice: IFIs pegged to IDA ´operational cutoff´ (USD 1,195 for FY13)
• From absolute (basic needs) to relative (OECD practice) poverty definition?
• => poorest 5 deciles of all extremely poor
• => extremely poor % of population/LICs
• => add new criteria to GNP/cap: (HDI, MPI)
• => CC => UN EVI; PVCCI.
Smoothening Transition Periods
• Bimodality: losing access to CF + repayments• => need for smoothening transition• from IDA-only via blend to IBRD-only status• Tax effort and suggested cutoff• Ca $2000 = 2x operational cutoff• but close to historical cutoff• + possible contingencies for transition CF:• - project types (GPGs); tax effort; social
inclusion; redistribution; federalism.
Introducing Subsovereign Allocation
• Rural-urban duality + disaster impoverishment =>
• direct CF to local governments (and NGOs).
• India: > ½ bn poor in seven states > IDA limit.
• Can donors justify disengagement?
• Excessive interference? Less for multilaterals (voice)
• EU Structural Funds and the Cohesion Fund : Lessons?
• Channels to local projects in the EU Member States via various national intermediary institutions.
• Risk: sub-state governments’ electoral concerns.
Opening the Windows for Global Public Goods
• Disaster damage cost suggest:
• CF windows target poverty + disasters jointly
• 2 ways 2 use replenishment systems/leverage:
• MDBs => global/regional public goods facilities
• Greening MDB projects -> low-carbon output
Strategic Options for Each Institution
• Some Leitmotivs:
• Option value of waiting
• Comparative advantages for efficient allocation, regional challenges, voice + inclusion of new partners
• Strengthened insurance elements
• => global challenges -> IDA
• => subsovereigns -> RDBs
• => differentiation -> less eligibility links to IDA