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Divergence Big Time: Economic Growth Since 1870

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Title: Divergence Big Time: Economic Growth Since 1870


1
Divergence Big Time Economic Growth Since 1870
  • Nick Crafts

2
Modern 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

3
World 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

4
GDP/Person Growth ( per year)
5
Levels 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

7
The 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

8
World Growth Rate and Income Variability
Parameter Values a .02 b .025 ? min
.001 ? max .03 ? .5
Annual Growth Rate
Log Standard Deviation
9
Underlying 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

10
The 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

11
Why 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

12
Why 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

13
Sources of Labour Productivity Growth ( per
year) (Bosworth Collins, 2003)
14
TFP 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

15
Growth 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

16
Catch-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)

17
Social 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

18
Investment 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?

19
Rule 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

20
Rule of Law Kaufmann et al. (2006)
21
Social 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

22
International Differences in TrustKnack Keefer
(1997)
23
Trust 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

24
Institutional 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?

25
The 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.

26
Divergence 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)
28
Geography and Income
  • Geography may preclude full convergence
  • Natural resources and market access
  • Direct and indirect effects

29
Economic 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

30
World Market Access
31
More 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

32
Natural Resource Curse?
  • How might it work?
  • Dutch disease
  • Exposure to external shocks
  • Detrimental to institutional quality
  • Makes civil conflict much more likely

33
Natural 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 ....

34
Growth 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)

35
Explaining Differences in per capita Income
Growth between East Asia and Africa, 1965-1990
36
The Future of World Growth
  • NICK CRAFTS
  • University of Warwick

37
Questions
  • 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?

38
Context
  • Demographics
  • US productivity performance
  • Catch-up growth experiences
  • The BRICs Hypothesis
  • Past surprises

39
BRICs 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

40
Purchasing 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

41
The 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

42
Price Levels and Real Incomes, 2000




















































50,000
40,000
30,000
20,000
10,000
Real per-capita income (in 1996 US dollars)
43
GNP/PERSON, 2004
44
Implications 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

45
Rules 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

46
GDP 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

47
Labour 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

48
World GDP Growth ( per year)
49
Rise of China and India
50
Naïve 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

51
Naïve Extrapolation
52
Components 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

53
Business 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

54
Business as Usual with Demographics
55
Demographics and Convergence in China India
56
Demographics BRICs
57
BRICs Growth Rates
58
Projected GDP at Market Exchange Rate (2003 US
bn)
59
Brazil 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?

60
Rule of Law in the BRICs
61
Chinese 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

62
Growth of total factor productivity in China
63
Chinese Productivity Growth Falls to 3
64
Wildcards
  • AIDS epidemics
  • Globalization backlash
  • Back to the 1970s
  • Latin America takes off

65
Latin America Takes Off
66
Summary
  • 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
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