Title: Divergence Big Time: Economic Growth Since 1870
1Divergence Big Time Economic Growth Since 1870
2Modern Economic Growth
- Post industrial revolution era
- Driven by technological progress that has
substantial impact on productivity growth - Need appropriate institutions and policies to
take advantage of the opportunity - Penalty for getting it wrong gets much bigger
income divergence is not new but increases
dramatically
3World GDP Growth ( per year)
- 1500-1820 0.32
- 1820-1870 0.93
- 1870-1913 2.11
- 1913-1950 1.82
- 1950-1973 4.90
- 1973-2001 3.05
- 1820-2001 2.22
4GDP/Person Growth ( per year)
5Levels of GDP/Person (1990,ppp)
6- 20th CENTURY DIVERGENCE
- BUT
- 21st CENTURY CONVERGENCE
- (Lucas, 2000)
- The restoration of inter-society income equality
will be one of the major economic events of the
century to come
7The Lucas Model
- Countries that start growing later have faster
initial growth and then experience growth
proportional to income gap with leader - Dy/y a bx
- where x is the number of 50 year periods since
1800. Hazard rate for beginning modern economic
growth (l) evolves from 0.001 to 0.03
8World Growth Rate and Income Variability
Parameter Values a .02 b .025 ? min
.001 ? max .03 ? .5
Annual Growth Rate
Log Standard Deviation
9Underlying Argument
- Obstacles to growth removed through imitation of
institutions, policies, technologies - Capital mobility and financial liberalization
relax the savings constraint - Capital will increasingly flow from rich to poor
(high K/L to low K/L) countries as the pure
neoclassical model predicts
10The Solow Model in a Globalized World
- Y/L A(K/L)a
- Diminishing returns to capital accumulation
- Technology universal
- Factors mobile, K/L equalized across countries
- SO
- Beta and sigma convergence
11Why Might the Solow Model Be Wrong ?
- TFP is not the same across all countries
- Obstacles to factor mobility prevent equalization
of K/L - Geography, institutions or economic policies
differ
12Why Do Some Countries Produce So Much More Output
per Worker Than Others?
- Hall Jones (1999) account for international
differences in Y/L levels using a neoclassical
production function - Their results show massive differences in TFP
contrary to the assumptions of the Solow model - Labour productivity and TFP are inversely
correlated with institutional quality
13Sources of Labour Productivity Growth ( per
year) (Bosworth Collins, 2003)
14TFP Growth
- In the textbook Solow model equates to
technological progress - In practice reflects both technological progress
and changes in the efficiency with which factors
of production are used - Very rapid TFP growth typically has both these
components - Negative TFP growth unlikely to mean technology
has gone backwards
15Growth Accounting Results
- TFP growth and capital deepening both much
stronger in East Asia than in Africa - Investment and innovation contribute more to
growth in East Asia than in Africa - Yet scope for catch-up was much greater in Africa
in 1970s
16Catch-Up Growth
- Not automatic requires social capability
- Persistence of bad institutions may preclude
catch-up (North) - Generally speaking, conditionality has not worked
- Occasionally big reforms happen (e.g., Dengs
China)
17Social Capability
- Incentive structures that inform investment and
innovation - Formal and informal institutions matter
- Rule of law, contract enforcement and property
rights are key - Institutional reform is often difficult
18Investment and Innovation
- Capital accumulation and technological progress
are key sources of growth - Institutions affect incentives to invest and to
innovate and the quality of investment - Can you appropriate the benefits?
- How much external finance will there be?
19Rule of Law (Kaufmann et al., 2005)
- the extent to which agents have confidence in
and abide by the rules of society based on
aggregations of components which include the
effectiveness and predictability of the judiciary
and the enforceability of contracts - Should be positively related to investment and
innovation - Captures Norths central concept of institutional
quality
20Rule of Law Kaufmann et al. (2006)
21Social Capital
- Features of social organization such as trust,
norms and networks that can improve the
efficiency of society (Putnam) - Informal institutions in Norths terminology
- Not amenable to top-down reform
- Hard to quantify
22International Differences in TrustKnack Keefer
(1997)
23Trust and GrowthKnack Keefer (1997)
- Trust reduces transactions costs, increases
incentives to invest and innovate - TRUST is positively correlated with growth 10
percentage point increase raises growth by 0.8
percentage points - Associational activity does not raise growth
24Institutional Diversity
- Is it a one size fits all world?
- Substitutes for prerequisites
- Addressing co-ordination problems
- Does the developmental state fit well with the
belief that property rights institutions dominate
outcomes?
25The Chinese Economic Miracle
- Gradualism not big bang
- Context-specific reforms
- No private property seriously flawed capital
market - BUT
- Fully reflects importance of incentive
structures decollectivization of agriculture,
competition in industry (TVEs) etc.
26Divergence Big Time
- Persistent and widening income gaps characterize
modern economic growth era - Institutional/policy failures matter much more
when growth opportunities increase BUT there is a
strong geographic correlation of development
outcomes - Does this mean that geography undermines the
mainstream assumption of a level playing field
for development?
27(No Transcript)
28Geography and Income
- Geography may preclude full convergence
- Natural resources and market access
- Direct and indirect effects
29Economic Geography and International Inequality
(Redding and Venables, 2004)
- Most (60-70) cross-country income variation
accounted for simply by location relative to
other countries - market access (export demand)
- supplier access (import supply)
- Move 50 closer to trading partners would raise
income by about 25
30World Market Access
31More Results from Redding Venables
- Moving Sri Lanka and Zimbabwe to Central Europe
would raise income by 67 and 80 respectively - Making Sri Lanka and Zimbabwe open economies
would raise income by 21 and 28 respectively - Other variables do affect income levels including
institutions
32Natural Resource Curse?
- How might it work?
- Dutch disease
- Exposure to external shocks
- Detrimental to institutional quality
- Makes civil conflict much more likely
33Natural Resource Curse Revisited (Sala-I-Martin
Subramanian, 2003)
- Much more careful econometrics says effect of oil
and minerals exports on growth is - negative
- non-linear
- robust
- Works only through institutions
- Natural resource share in exports 55 compared
with zero reduces expected growth by about 1
percentage point through predicted impact on
institutional quality - BUT natural resources not per se bad news ......
if Nigeria were Norway ....
34Growth Regressions
- Explore correlations in cross-country growth
experience
Gyp a b(y/p)o c policy d Institutions
e geography
- Results highlight importance of good institutions
but also point to role of good policy (openness,
education) and growth penalty from unfavourable
geography (transport costs, climate)
35Explaining Differences in per capita Income
Growth between East Asia and Africa, 1965-1990
36The Future of World Growth
- NICK CRAFTS
- University of Warwick
37Questions
- What will future world growth be?
- What will happen to regional shares of world GDP?
- What are the key parameters?
- What are the main risks?
38Context
- Demographics
- US productivity performance
- Catch-up growth experiences
- The BRICs Hypothesis
- Past surprises
39BRICs Hypothesis
- Goldman-Sachs (2003) highlighted change in world
economic structure consequent on rapid growth of
big developing economies - Brazil Russia India China BRICs
- GS story based on catch-up and convergence in
real GDP per head in these economies (TFP
converges at 1.5 per year) - Balassa-Samuelson hypothesis means BRICs share
of world GDP rises faster measured at market
exchange rates rather than PPP
40Purchasing Power Parity (ppp)
- PPP theory E/ PUS/PE
- where PUS is the dollar price of a reference
basket of goods in the US and PE is the euro
price of the same basket in Europe - Equivalently PUS E/ x PE such that if PPP
holds both countries price levels are equal when
measured in terms of the same currency - NB the real exchange rate q/ (E/ x PE)/
PUS is constant in PPP always obtains
41The Balassa-Samuelson Hypothesis
W PT PT W AT
AT
PN W PN W PN gt PN
AN AN
- Relative prices of non-tradables lower in poor
countries since labour productivity gap lower in
non-tradables - Price level is lower in poor countries PPP is
systematically violated - Empirically log relative price level 0.4 log
relative real income per person
42Price Levels and Real Incomes, 2000
50,000
40,000
30,000
20,000
10,000
Real per-capita income (in 1996 US dollars)
43GNP/PERSON, 2004
44Implications of Balassa-Samuelson
- Income levels in China relative to US higher
measured at PPP than at current exchange rates - Chinese real exchange rate will rise if catch-up
growth countries - Chinese growth in constant US will be faster
than growth measured in constant renmimbi - 2005-30 according to BRICs 8.8 vs 5.2
45Rules of Thumb
- 3 growth is as good as it gets in a mature
economy - Catch-Up growth rates can be 2 or 3 times faster
- Catch-up depends on social capability and is
often incomplete - Emerging markets are exciting but risky
46GDP Growth, 1995-2004( per year annual average)
- OECDOld EU 2.2New EU 3.7USA 3.4Japan
1.2
- EmergingChina 8.7India 6.1Russia 2.9
47Labour Productivity Growth, 1995-2004 per year
annual average
- OECDOld EU 1.5New EU 4.3USA 2.5Japan
2.3
- EmergingChina 6.3India 3.8Russia 3.3
48World GDP Growth ( per year)
49Rise of China and India
50Naïve Extrapolation
- After the Golden Age of OECD growth world growth
slowed until Asia took off - World growth has been increasing as weights of
China and India rise - Naïve extrapolation builds this in to the future
but is implausible
51Naïve Extrapolation
52Components of Growth
- Rate of growth of output Rate of growth of
labour force Rate of growth of labour
productivity - DY/Y DL/L D (Y/L)/(Y/L)
- DL/L demographics matter
- D(Y/L)/(Y/L) scope for catch-up, social
capability, technological advance are key
53Business as Usual with Demographics
- Use UN population projections
- Age-structure effects important
- Labour force growth in Asia will slow down
- Overall, demographics have a strong retarding
effect on future growth
54Business as Usual with Demographics
55Demographics and Convergence in China India
56Demographics BRICs
57BRICs Growth Rates
58Projected GDP at Market Exchange Rate (2003 US
bn)
59Brazil and Russia
- Not central to the BRICs hypothesis
- By no means guaranteed to succeed in long-term
catch-up growth - Does either have the required social capability?
- Will Russia succumb to the Natural Resource Curse?
60Rule of Law in the BRICs
61Chinese Productivity Growth
- Can be expected to slow down as scope for
catch-up is reduced in any case - Requires further reforms to be sustained at a
very rapid rate and is vulnerable to reform
failures - Exerts a very strong impact on future world GDP
growth
62Growth of total factor productivity in China
63Chinese Productivity Growth Falls to 3
64Wildcards
- AIDS epidemics
- Globalization backlash
- Back to the 1970s
- Latin America takes off
65Latin America Takes Off
66Summary
- World growth is very likely to slow down in the
next 25 years - Negative surprises easier to imagine than
positives - Chinese productivity growth has central role in
outcomes