Exploring the World of Growth and Development

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Transcription:

Exploring the World of Growth and Development Ping Wang Department of Economics Washington University in St. Louis January 2018

1 Data source: Acemoglus (2009), Aghion-Howitt (2009), Jones (1998, 2015) B. The Big Picture 1. Long Term Development of the World Economy Five ancient empires: Greek empire (2000-300BC) Babylonian empire (1696-539BC) Egyptian empire (4000-30BC) The rise of Europe: o Roman empire (27BC-1461) o Spanish empire (1519-1898) o Dutch empire (1579-1795) o British empire (1689-1997) o German empire (1871-1918) The rise of America (1776-now) Chinese empire (2852BC-1911) Indian empire (3300BC-1818)

World development since 1000: 2

World development since mid-19 th century: 3

4 A closer look at 5 representative economies since 1600 (Ngai 2004): Note: Sustainable growth in real income per capita only started 1780.

2. The Post-WWII Era 5

6 B. Cross-Country Study of Economic Growth 1. Overview Distribution of world real GDP per capita

Cross-country growth experiences compared 7

Cross-country income mobility: 8

Growth miracles and disasters (1969-1990) 9

10 2. Determinants of Economic Growth: Using neoclassical theory as an organizing framework, Jones-Manuelli (1997), Boldrin-Chen-Wang (2004) and Jones (2015) provided comprehensive surveys on the sources of per capita real GDP growth The determinants of economic growth: o physical capital accumulation: saving, investment o labor force growth: labor participation o human capital enhancement: education (years of schooling), learning by doing, job training o population growth (a negative factor): fertility choice o total factor productivity (TFP): R&D and technology invention, imitation, and adoption o other factors: trade (final goods, intermediate goods) institutions finance geography urbanization policy (monetary, fiscal)

11 Capital Accumulation and Growth Country I/Y (%) Yi/YUS*100 (1990) Yi/Yi (%) Country H Index Yi/YUS*100 (1990) Yi/Yi (%) U.S. 24.0 100 2.1 U.S. 11.8 100 2.1 Algeria 23.3 14 2.2 Argentina 6.7 19 0.7 Zambia 27.9 4-0.8 Philippines 6.7 14 1.3 Guyana 25.1 7-0.9 Korea 9.2 45 6.3 Japan 36.6 80 5.6 New Zealand 12.3 63 1.4 Singapore 32.6 60 6.4 Norway 10.6 81 3.7

Physical capital: 12

U.S. Capital-Output Ratio 13

U.S. Relative Price of Investment 14

U.S. Capital Shares 15

Human capital: 16

U.S. Skilled Labor Growth and Skill Premium 17

Population growth: 18

Fertility of Advanced Countries 19

20 TFP growth: TFP growth versus per capita real GDP growth JAP IRE ICE FIN AUS GRE NOR GER POR ITA BEL SPA DEN,UK FRA AUL,SWE NEZ SWI CAN US per capita real GDP growth

21 R&D R&D-GDP Share SWE JAP SWI US FIN FRA GER NED UK DEN NOR AUL BEL CAN AUS NEZ IRE ITA SPA GRE POR ICE per capita real GDP growth

R&D Employment Share 22

U.S. R&D Growth 23

Patents Growth (Granted by USPTO) 24

Trade 25

Institutions democracy and IP protection 26

Finance 27

Geography 28

Urbanization 29

3. Economic growth, consumption and life expectancy 30

31 4. Have rich countries suffered growth slowdown? Growth rate versus initial level of development Convergence of the Rich (OECD)

Nonconvergence of the Poor 32

Cross-Country Disparities in Income and Factor Inputs (Wang-Wong-Yip 2018) 33

34 The concept of convergence and conditional convergence Convergence in per capita real GDP (Baumol-Barro): o β-convergence: the higher the initial per capita real GDP is, the lower the per capita real GDP growth will be o σ-convergence: the cross-country per capita real GDP is decreasing over time Problems: o Galton Fallacy (regression toward the mean) o Twin-peak hypothesis (Quah 1996) o Endogeneity problems o Measurement errors o Kitchen sink regressions

35 C. Why Formal Theory Matters? Albert Einstein: [I]t is quite wrong to try founding a theory on observable magnitudes alone... It is the theory which decides what we can observe. Formal theory can help organizing the stylized facts observed, explaining causal relationships, offering economic predictions and drawing useful policy implications D. Basic Technical Tools To build up formal dynamic general equilibrium theory, basic tools are: calculus/matrix algebra, probability theory, mathematical statistics & stochastic process, basic real/functional analysis & measure theory constrained optimization methods (Lagrangian) optimal control (Maximum Principle) & stochastic control recursive methods and dynamic programming overlapping-generations (OLG) approach dynamic games