Implications of Slowing Growth for Global Poverty Reduction. David Laborde & Will Martin

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Implications of Slowing Growth for Global Poverty Reduction David Laborde & Will Martin Samarkand Conference 4 November 2016

Road Map Dramatic progress in poverty redn under the MDGs Linked to more rapid economic growth in developing countries Sustainable Development Goals (SDGs)-- eliminate poverty & hunger by 2030 Global Economic Outlook has deteriorated since 2012 Implications for eliminating global poverty & hunger? Methodology Results

Progress & Background

MDGs & Sustainable Dev Goals MDG 1 set a target of halving the proportion of people under $1/day (now $1.90) between 1990 & 2015 This goal was very easily achieved Essentially by 2008 7 years early And the poverty headcount has since halved again Between 2012 & 2015, the SDGs were agreed With a target of eliminating poverty by 2030

Past Progress: Poverty Headcount % 50 45 40 1990, 37.1 35 30 25 20 2008, 18.65 15 2015, 9.6 10 5 0 1981 1984 1987 1990 1993 1996 1999 2002 2005 2008 2010 2011 2012 2015

Regional Poverty Rates, % Country Year Headcount Armenia 2014 2.3 Azerbaijan 2008 0.5 Georgia 2014 9.8 Kazakhstan 2013 0.04 Kyrgyz Republic 2014 1.3 Russian Federation 2012 0.04 Tajikistan 2014 19.5 Turkmenistan 1998 42.3 Uzbekistan 2003 66.8 World Bank Povcalnet

1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 GDP Growth (%) Convergence since 1990 reversing 200 years of divergence 10 8 6 4 2 0-2 -4 Year High Income Countries Low Income Countries Middle Income Countries

The Deteriorating Global Outlook

Comparing 2012 & 2015 GDP growth projections to 2017 9.00 8.00 7.00 6.00 5.00 4.00 3.00 2.00 1.00 0.00 BRA CAN CHN DEU FRA GBR IDN IND JPN NGA RUS USA w2012 w2015

Growth in Per Capita GDP, 2012-30,% 160% 140% 120% 100% 80% 60% 40% 20% 0% HIC Previous Forecast Updated Forecast LMIC

Methodology

Analytical framework Macro scenarios based on IMF WEO forecasts: Use MIRAGRODEP model to track implications for prices & wages Household survey models for 285,000 households to capture impacts

Scenarios & implementation GDP- (HIC, Russia, Brazil,China) Scenario 0 Scenario 1 Scenario 2 2012 forecast 2015 forecasts 2015 forecast GDP Others 2012 forecast 2015 forecasts 2015 forecasts Savings rate Unchanged China: 50% to 40% by 2020, 40% to 35% by 2030. Oil exporters stabilize consumption Current Account Balance Remittances Natural Resource endowments Unchanged As % of source ctry unskilled wages Unchanged Surplus Redn in China Strong Surplus Redn in oil exporters % of source ctry unskilled wages Calibrated for Gulf ctries, US, Russia, Australia, China to target oil, gas, coal prices As in Scenario 1 As in scenario 1 % of source ctry unskilled wages As in scenario 1

MIRAGRODEP framework Global dynamic CGE model Distinguishes private & government households Extended to include international remittances Major drivers Total Factor productivity Terms of trade, including changes in mineral prices Saving rates Current account imbalances Remittances

Household modelling Based on processed, harmonized household surveys Detailed consumption patterns: price effects Different income sources: Business sales (production patterns, price effects, productivity effects) Wages (price effects, fixed per capita endowments) Other factor incomes (price & quantity effects thru accumulation) Remittances (value changes) Scale up results from 76% of the world s poor to all using kmeans clusters

Household framework W = π p, w, τ e p, w, u W is household real income e is cost of expenditure π is profit from household business p is commodity prices w is factor prices τ is productivity level

1st order impacts of change in τ Direct impact on profit dw = π τ τ +(π p e p ) p Net sales*δprice Net Labor Sales*wage change + (e w π w ) w

Results

average annual rate, % Average TFP growth rate 2012-30 6.0 5.0 4.0 3.0 2.0 S0 S1 S2 1.0 0.0

Growth Rate 2011-2030, % Real Unskilled Wages 2012-30, % 400 350 300 250 200 150 S0 S1 S2 100 50 0

Real Prices in 2030 vs Baseline, % World Agric Prices Oilseeds 4.81 6.32 Processed Food 1.97 2.67 Wheat 3.75 4.00 Sugar 5.36 5.89 Dairy 1.51 1.79 Non Agricultural World Prices Energy -26.96-24.36 Minerals -9.30-8.20 Capital Goods 1.65 1.79 Aggregate World Prices Agriculture 2.39 3.19 Manufacturing 0.77 1.16 Services 0.82 1.00 Extraction -22.34-20.04 S1 S2

Global Poverty Headcount under S0,S1,S2 $1.90, a day, 2011 PPP

Key findings Updated 2030 Extreme poverty rate projection: 5.2% vs 4.8% 38 million people will not leave extreme poverty compared to previous projections Average extreme poverty rate in rural areas will be 7.5% rather than 7.1%

Why so small impact on overall poverty? Poverty reduction is very robust Given the large decline in growth Many countries reach very low poverty rates Higher growth in some vulnerable economies But many countries especially in Africa still have sizeable poverty rates Business as usual does not get us to zero poverty

Conclusions The growth slowdown is likely to reduce the rate of poverty reduction to 2030 Leaves us far from SDG1 goal of eliminating poverty Although the change from the baseline is surprisingly small Poverty rates remain high in a few countries And higher in rural than in urban areas Pointing to a need for targeted poverty reduction measures

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