Asia’s Growth Challenges
Ulrich Volz SOAS University of London & DIE
I.S.E.O Summer School “The Global Economy: Searching for a New Equilibrium” 17-24 June 2017, Istituto di Studi Economici e per l'Occupazione
Asias Growth Challenges Ulrich Volz SOAS University of London & - - PowerPoint PPT Presentation
Asias Growth Challenges Ulrich Volz SOAS University of London & DIE I.S.E.O Summer School The Global Economy: Searching for a New Equilibrium 17-24 June 2017, Istituto di Studi Economici e per l'Occupazione Over the last half
Ulrich Volz SOAS University of London & DIE
I.S.E.O Summer School “The Global Economy: Searching for a New Equilibrium” 17-24 June 2017, Istituto di Studi Economici e per l'Occupazione
– ‘Chinese dream’
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– Finding new growth models – how to avoid or
– Demographic change – Maintaining social cohesion – Safeguarding financial stability – Aligning growth with environmentally sustainable development – how to manage a green transformation to low-carbon growth?
(3) Conclusions
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*Japan, Hong Kong, Korea, Singapore, Taiwan, Indonesia, Malaysia, Thailand
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Source: National Geophysical Data Center, National Oceanic and Atmospheric Administration, http://ngdc.noaa.gov/eog/maps.html DMSP OLS Global Composites Version 4, “stable lights data” 7
Source: National Geophysical Data Center, National Oceanic and Atmospheric Administration, http://ngdc.noaa.gov/eog/maps.html DMSP OLS Global Composites Version 4, “stable lights data” 8
0% 10% 20% 30% 40% 50% 60% 70% 1700 1820 1870 1913 1950 1970 1980 1995 2010 2020 2030 2040 2050
Source: ADB (2011): Asia 2050: Realizing the Asian Century, Manila: Asian Development Bank. 9
Source: World Economic Forum (2017).
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11
Source: World Bank, March 2017. 10.000 20.000 30.000 40.000 50.000 60.000
1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Brunei Hong Kong Japan Korea Singapore
12
Source: World Bank, March 2017. 2.000 4.000 6.000 8.000 10.000 12.000
1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Cambodia China Indonesia Laos Malaysia Myanmar Philippines Thailand Vietnam
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58,8 8,7 90,1 1,6 25,6 75,2 8,9 96,2 15,5 16,2 1,0 2,2
20 40 60 80 100 1991 2015 1991 2015 %
Low Middle High Developing Asia World
Estrada, G., X. Han, D. Park, and S. Tian (Forthcoming): Asia’s Middle-Income Challenge: An Overview, Manila: Asian Development Bank. 14
Source: PovcalNet, the on-line tool for poverty measurement developed by the Development Research Group, World Bank. http://iresearch.worldbank.org/PovcalNet/. Note: These regional estimates are based on $1.9/day in 2011 PPP except Bangladesh, Cabo Verde, Cambodia, Lao PDR, and Jordan which use $1.9/day in 2005 PPP. 15
Source: Kharas, H. (2017): “The Unprecedented Expansion of the Global Middle Class: An Update.” Global Economy & Development Working Paper 100, Washington, DC: Brookings Institution.
1,38 2,023 2,784 3,492 1 2 3 4 5 6 2015 2020 2025 2030 North America Europe Central and South America Asia Pacific Sub-Saharan Africa Middle East and North Africa
16 *Middle class is defined as comprising households with per capita incomes between $10 and $100 per person per day in 2005 PPP
Source: Kharas, H. (2017): “The Unprecedented Expansion of the Global Middle Class: An Update.” Global Economy & Development Working Paper 100, Washington, DC: Brookings Institution. 17
Source: UNDP, March 2017. 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 1990 2000 2010 2014
Brunei Cambodia China Hong Kong Indonesia Japan Korea Laos Malaysia Myanmar Philippines Singapore Thailand Vietnam 18
Source: UNDP, March 2017.
10 20 30 40 50 60 70 80 90 1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Brunei Cambodia China HongKong Indonesia Japan Korea Laos Malaysia Myanmar Philippines Singapore Thailand Vietnam
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exchange rates under the Bretton Woods and Bretton Woods II systems
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East Asian Miracle”
human capital as the principle engines of growth in High-performing Asian Economies (HPAE)
– HPAE: Japan, 4 tigers (HK, Korea, Singapore, Taiwan), 3 NIEs (Indonesia, Malaysia, Thailand) – High levels of domestic financial savings sustained high investment levels – Agriculture, while declining in relative importance, experienced rapid growth and productivity improvement – Population growth declined more rapidly in HPAE than in
– Some HPAE benefited from initially better-educated labour force and a more effective system of public administration
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“miraculous” about the HPAE’s superior record of growth, but that it was largely due to a superior accumulation of physical and human capital
ingredient for achieving high growth:
– Good macroeconomic management that provided the stable macroeconomic framework necessary for private investment – Policies to increase the integrity of the banking system and to make it more accessible raised level of financial savings – Agricultural policies that stressed productivity – Price distortions were kept within “reasonable bounds” – Openness to foreign ideas and technologies
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different channels to foster development and in some cases the development of specific industries
– Targeting and subsidising credit to selected industries – Encouraging some forms of lending (for exports, to small and medium-size enterprises, to particular sectors) – Keeping deposit rates low and maintaining ceilings on borrowing rates to increase profits and retained earnings – Establishing and supporting government banks – Public investment in applied research – Protection of domestic import substitutes – Establishing firm- and industry specific export targets – Development of export marketing institutions
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i. Finding new growth models – how to avoid or
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Environmental, social and economic development
Source: Johann Dréo (2006)
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28
changing global environment
picked
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30
50,0 55,5 10,3 21,9 11,4 12,8 28,3 9,8
20 40 60 80 100 Middle income rising to high Middle income staying there Physical capital Labor Human capital Productivity
Source: ADB (2017): Asian Development Outlook 2017, Manila: Asian Development Bank. 31
0,3 0,9 0,3 0,6 0,9 Upper-middle income staying there Upper-middle income rising to high
Research & development stock per labour hour*
44 182 50 100 150 200 Upper-middle income staying there Upper-middle income rising to high
Patent applications (resident) per million persons
Source: ADB (2017): Asian Development Outlook 2017, Manila: Asian Development Bank. 32 *Cumulative gross expenditures on R&D measured in 2010 constant $ per unit of labor hour
Low Income Middle Income High Income
5 10 15 20 7 8 9 10 11 12
Log GDP per capita Ratio
Opportunity-driven/necessity-driven early-stage entrepreneurship
Source: ADB (2017): Asian Development Outlook 2017, Manila: Asian Development Bank. 33
2 4
6 7 8 9 10 11
Income per capita (log)
Source: ADB (2017): Asian Development Outlook 2017, Manila: Asian Development Bank. 34
2,9 6,1 9,7
0 2 4 6 8 10 12 Low Middle High Total schooling
0,05 0,20 0,57
0,0 0,5 1,0 Low Middle High Tertiary schooling
Average schooling years by income group
Source: ADB (2017): Asian Development Outlook 2017, Manila: Asian Development Bank. 35
94,2 56,5 20 40 60 80 100 Upper-middle income rising to high Upper-middle income staying there Kilowatt hours per 100 people
Electricity-generating capacity
28,1 10,2 20 40 Upper-middle income rising to high Upper-middle income staying there Per 100 people
Internet users
Source: ADB (2017): Meeting Asia’s Infrastructure Needs, Manila: Asian Development Bank. 37
$881 $459 $1.340 400 800 1.200 1.600 Current Investment Gap Annual Needs $ billion in 2015 prices
Meeting the Investment Gaps, 2016–2020 (annual averages)
Source: ADB (2017): Meeting Asia’s Infrastructure Needs, Manila: Asian Development Bank. 38
– Innovation, human capital and infrastructure play key roles
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demographic transition process
– Move from high fertility and mortality to low fertility and mortality
region and total population is projected to fall by the end of the 21st century in all countries except for the Philippines and Timor-Leste
– Japanese economy already hit hard by demographics – Thailand will be the first developing country in the region to reach its population peak in 2023, followed by China in 2028
in most countries
41
1 2 3 4 5 6 Billions Asia Africa Latin America & Caribbean Europe Northern America Oceania
Asia Africa
Source: United Nations, Department of Economic and Social Affairs, Population Division (2015). World Population Prospects: The 2015 Revision. 42
43
44
45
46
47
48
49
50
51
52
in most countries
shrink by about 10% in China and Thailand between 2010 and 2040
more decades in Malaysia, Myanmar, Indonesia, Cambodia, the Philippines, Lao and Timor-Leste
care systems, old-age care, pension systems, migration…
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30 40 50 60 70 80 90 100 110 120 Cambodia China India Indonesia Lao PDR Malaysia Myanmar Philippines Thailand Timor-Leste Vietnam
Source: United Nations, Department of Economic and Social Affairs, Population Division (2015). World Population Prospects: The 2015 Revision. 54
0,4 0,8 1,2 Developing Asia People's Rep.
India Philippines % points Contribution to annual growth rate per capita GDP,
1981–2010
55
0,0 0,4 0,8 Developing Asia People's Rep.
India Philippines % points Contribution to annual growth rate per capita GDP,
2011–2030
56
50 100 150 Uruguay Mexico Costa Rica Chile Brazil USA Sweden Slovenia Spain Hungary Germany Austria Japan Thailand Taipei,China Philippines Korea, Rep. of Indonesia India China, People's … %
Support system for people ages 65 and above, selected economies
Private transfers Public transfers Savings
Asia Europe and USA Latin America
57
– Capitalise on their demographic dividend, which is neither automatic nor guaranteed – Create more jobs and training
– Pursue structural reforms to offset the decline of demographic dividend – Use their large and growing pool of retirement savings to develop the financial market
58
59
60
Source: Atkinson, Piketty, and Saez (2011): “Top Incomes in the Long Run of History,” Journal of Economic Literature, Vol. XLIX. 61
Source: Kanbur et al. (2016).
62
36 35 32 32 31 30 30 30 29 29 27 25 31 20 25 30 35 40 1990 or earliest 2014 or latest
Source: World Bank PovCal data. 63
3,9 7,4 7,1 5,2 4,8 5,7 4,7 8,2 8,2 6,3 6,6 6,8 3 4 5 6 7 8 9 Bangladesh Fiji Georgia Lao PDR Sri Lanka Viet Nam 1990s 2010s
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65
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developing Asian economies where it increased, the same growth in 1990–2013 would have lifted an additional 165 million people out of extreme poverty—equivalent to 4.5% of the region’s population in 2013
estimated to have knocked 4.7 percentage points
67
human capital
– Those with little wealth or low income cannot invest in human capital or wealth- and income-enhancing activities
and institutions
– It can strain social cohesion and lead to conflicts that discourage investment
– Public pressure to enact populist policies may benefit the poor in the short term, but hold back efficiency and growth in the long run
68
deregulation favour:
– skilled over unskilled labour – capital over labour – certain geographical locations (such as urban and coastal areas) over others (such as rural and inland regions)
more unequal income distribution than younger cohorts
69
8,1 26,5 20,3 29,9 29,8 25,0 23,2 24,7 30,8 35,7 44,2 46,2 10 20 30 40 50 1995 2007 1993 2009-10 1990 2010 2002 2008 1994 2009 1995 2005 PRC India Indonesia Pakistan Philippines Thailand Share of between-group inequality, %
Income inequality decomposition by educational attainment of household head
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13 21 22 26 32 35 38 54 10 20 30 40 50 60 Sri Lanka (2009) Philippines (2009) Pakistan (2008) Indonesia (2009) India (2008) Viet Nam (2008) Bhutan (2007) PRC (2007)
Share of spatial inequality to total inequality (%)
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population and reduce urban-rural gaps
disparity
and schools for a wider section of the population
72
– Increase spending on education and health, especially for the poor – Develop better targeted social protection schemes, including conditional cash transfers – Mobilize greater revenues by broadening the tax base
– Develop new growth poles in lagging regions – Strengthen fiscal transfers to invest more in human capital and provide better access to public services in poorer areas – Remove barriers to migration from poor to more prosperous regions
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– Support development of small- and medium-sized enterprises – Remove distortions in factor markets that favor the use of capital over labor – Strengthen labor market institutions to provide necessary protection of workers without imposing excessive costs for businesses – Introduce public employment schemes as a temporary bridge to address pockets of unemployment and underemployment
– Strengthen governance – Level the playing field – Contain monopoly power and corruption – Prevent elite capture – Eliminate social exclusion
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75
Source: Fitch Ratings, from People’s Bank of China, Bank for International Settlements, Hong Kong Monetary Authority and commercial banks data 76
77
– Air and water pollution – Rapid depletion and degradation of natural resources – Deforestation and land degradation – Rapid loss of the region’s rich biodiversity endowment
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support the growing demands of a more numerous, wealthier, and urbanised population
– Changing patterns of consumption and mobility – Clean and ample water, arable land, and unpolluted air are vital ecosystem services necessary to maintain SEA’s economic growth
pursued at the expense of the environment, undermining delivery of these ecosystem services in the future
future development
– Effects on people’s health, livelihood, and security – Compromises the potential of sustained growth and its benefits for future generations
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hectares) required to supply the ecological goods and services we use
actually available to provide these goods and services
80
Japan China Korea Singapore
Source: Global Footprint Network, 2016.
81
Source: Global Footprint Network, 2016.
India Pakistan Bangladesh Sri Lanka
82
Malaysia Philippines Thailand Vietnam
Source: Global Footprint Network, 2016.
83
Cambodia Indonesia Laos Myanmar
Source: Global Footprint Network, 2016.
84
climate change
threaten to undermine future growth, food security, and regional stability
85
Source: World Bank, March 2017.
100.000 200.000 300.000 400.000 500.000 600.000 700.000 1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 Brunei Cambodia HongKong Indonesia Korea Laos Malaysia Myanmar Philippines Singapore Thailand Vietnam
86
Source: World Bank, March 2017.
200.000 400.000 600.000 800.000 1.000.000 1.200.000 1.400.000 2.000.000 4.000.000 6.000.000 8.000.000 10.000.000 12.000.000
China Japan (rights axis) 87
Source: Volz (2016). Note: Scale for China is on the right axis. 88
Source: BP Statistical Review of World Energy. 89
Source: Global Carbon Project (2016).
The top four emitters in 2015 covered 59% of global emissions China (29%), United States (15%), EU28 (10%), India (6%)
90
Source: Global Carbon Project (2016).
Countries have a broad range of per capita emissions reflecting their national circumstances
91
Source: Global Carbon Project (2016).
Depending on perspective, the significance of individual countries changes
92
Source: Global Carbon Project (2016).
Cumulative emissions from fossil-fuel and cement were distributed (1870–2015): USA (26%), EU28 (23%), China (13%), Russia (7%), Japan (4%) and India (3%) Cumulative emissions (1990–2015) were distributed China (21%), USA (20%), EU28 (14%), Russia (6%), India/Japan (4%)
93
Source: Global Carbon Project (2016).
Values for 2011. EU is treated as one region. Units: MtCO2 Flows from location of generation of emissions to location of consumption of goods and services
94
Rest of the world = 75%
Share in 1990–1999
Rest of the world = 60%
Share in 2012
Developing Asia = 25% Developing Asia = 40%
Developing Asia’s share in global greenhouse gas emissions
95 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
Business as usual INDC INDC to 2°C 5 10 15 20 25 30 35 40 45 2015 2020 2025 2030 2035 2040 2045 2050
GtCO2 equivalent/year
INDC = intended nationally determined contribution
96 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
Renewables Coal Gas Nuclear Oil
2 4 6 8 10 2015 2020 2025 2030 2035 2040 2045 2050
INDC to 2°C
Billion tons of oil equivalent Renewable s Coal Gas Nuclear Oil
2 4 6 8 10 2015 2020 2025 2030 2035 2040 2045 2050
Business as usual
Billion tons of oil equivalent
34% (2.1 BTOE) 2% (0.1 BTOE) 11% (0.7 BTOE) 10% (0.6 BTOE) 43% (2.6 BTOE) 34% (3.4 BTOE) 1% (0.1 BTOE) 14% (1.4 BTOE) 41% (4.1 BTOE) 10% (0.9 BTOE)
INDC = intended nationally determined contribution
97 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
5 10 15 20
Trillion US$2005
Research, 0.15 Renewables, 6.66 Nuclear, 0.28 Grid and Storage, 5.53 Fossils with CCS, 4.57 Fossil Fuels, -4.39 Oil Extraction, -2.55
98 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
1 2 3 4 5 2015 2020 2025 2030 2035 2040 2045 2050 % of GDP
Cost of emissions reduction as % of GDP in developing Asia
INDC to 2oC INDC to 2oC with trade
Effect
trade
0,0 0,5 1,0 1,5 2,0 2,5 2015 2020 2025 2030 2035 2040 2045 2050 % of GDP
Cost of emissions reduction as % of GDP in developing Asia
INDC to 2oC with trade Optimal 2oC with trade
Effect
action
99 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
GDP change from climate change under different scenarios (%)
8% gain Business as usual 2oC pathway
Reduction in premature deaths from air pollution in 2050 moving from business as usual to 2oC scenarios
Change in ‘000 deaths annually India PRC Indonesia Rest of East Asia, Southeast Asia, and the Pacific Rest of South Asia
100 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
500 1000 1500 2000 2015 2020 2025 2030 2035 2040 2045 2050 Annual billions of 2005$ Economic costs of Optimal 2°C Co-benefits of Optimal 2°C
With right steps, each $ spending on mitigation could potentially generate $2.2 discounted benefits for developing Asia during 2015–2100
101 Source: ADB (2016): Asian Development Outlook 2016 Update, Manila: Asian Development Bank.
– Removing fossil fuel subsidy – Introducing carbon taxation and/or cap and trade
– Setting renewable energy targets – Introducing energy efficiency mandates
– Leveraging the private sector by reducing investment risk – Providing financial incentives, especially for piloting
– Support for developing countries to mitigate through carbon
– Technical cooperation on clean energy research and development
102
103
addressed to develop viable growth models
– Education and vocational training
– Carbon prices
needed to support equitable development
104