MACROECONOMICS. Key Concepts. The Importance of Economic Growth. The Wealth of Nations. GDP Growth. Elements of Growth. Total output Output per capita

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MACROECONOMICS AND THE GLOBAL BUSINESS ENVIRONMENT The Wealth of Nations The Supply Side PowerPoint by Beth Ingram adapted by R Helg Copyright 2005 John Wiley & Sons, Inc. All rights reserved. 3-2 Key Concepts GDP Growth Total output Output per capita Elements of Growth Labor Capital Total Factor Productivity 3-3 The Importance of Economic Growth "No society can surely be flourishing and happy, of which the far greater part of the members are poor and miserable." --Adam Smith 1

3-4 GDP Growth An increase over time in the quantity of goods and services produced by an economy Rate of growth Real GDP: adjusts for inflation Real GDP per capita: adjusts for size of population 3-5 World GDP per capita: the capitalist economic system at work World GDP per capita (1990 International Geary-Khamis dollars) 6 000 Source: Angus Maddison, Historical Statistics for the World Economy 5 000 4 000 3 000 2 000 1 000 0 1 1000 1500 1600 1700 1820 1900 2000 3-6 Regional GDP per capita 2

3-7 GDP per capita: Europe vs. China they are coming back! 3-8 Aggregate Real GDP 3-9 Real per capita GDP 3

3-10 Aggregate Real GDP 3-11 Real per capita GDP 3-12 Real GDP per capita, Top Ten PPP US $ $40,000 $35,000 $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $0 Norway Ireland United States Denmark Switzerland Equatorial Guinea Iceland Canada Austria Netherlands Source: OECD, Author s calculation 4

3-13 Real GDP per capita, Bottom Ten PPP US $ $900 $800 $700 $600 $500 $400 $300 $200 $100 $0 Zambia Niger Ethiopia Madagascar Guinea- Bissau Congo, Dem. Rep. of the Burundi Tanzania, U. Rep. of Malawi Sierra Leone Source: OECD, Author s calculation 3-14 Importance of Growth Growing population Improving standards of living GDP per capita Life expectancy Poverty reduction 3-15 Growing population 5

3-16 Improves standards of living 3-17 Life expectancy 3-18 Poverty reduction: monetary poverty 6

3-19 Poverty reduction: non-monetary poverty Human Development Index for geographic areas (weighted average) 1870 1913 1950 1995 Australasia 0.539 0.784 0.856 0.933 North America 0.462 0.729 0.864 0.945 Western Europe 0.374 0.606 0.789 0.933 Eastern Europe 0.278 0.634 0.786 Latin America 0.236 0.442 0.802 Eastern Asia 0.306 0.746 China 0.159 0.650 Sourth Asia 0.055 0.166 0.449 Africa 0.181 0.435 Source: Crafts (2000) 3-20 Growth, poverty and inequality 3-21 Inequality and Growth: no systematic relationship 0.80 More Inequality 0.70 0.60 0.50 0.40 0.30 0.20-10 -5 0 5 10 15 20 Growth Rate 7

1820 1850 1870 1890 1910 1929 1950 1960 1970 1980 1992 3-22 World income inequality 0.9 World Income Inequality 1: the long run (mean logarithmic deviation) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 source: Bourguignon-Morrison Within group inequality Between group inequality Total inequality Continuously increased between 1820 and 1980. Between 1820 and 1930 within country inequality has been the most important component of world income inequality. After 1930 the leading component has become across country inequality. 3-23 World income inequality World Income Inequality 2: the last 30 years (mean logarithmic deviation) 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 source: Sala-i-M artin (2002) 0.1 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 Within group inequality Betw een group inequality Total inequality After 1980 world income inequality has inverted its trend and started reducing. Mainly due to the fast convergence in per capita income between China (from 1980) and India (from 1990), on one side, and the developed countries, on the other. Note also the increase in the role played by within country inequality. 3-24 Compounding is a wonderful thing 1999 GDP per capita (US = $30600) Years to attain US 1999 level 1% growth 3% growth 6% growth 9% growth Actual growth rate (1990-99) Germany $25350 20 years 7 years 4 years 3 years 1.5% UK $22640 32 years 11 years 6 years 4 years 2.1% Brazil $4420 196 years 66 years 34 years 23 years 1.7% China $780 370 years 145 years 64 years 44 years 9.8% Ethiopia $100 577 years 194 years 99 years 67 years 2.2% 8

3-25 Analysis of Growth Capital (buildings, infrastructure and machines) Output (GDP) Total Factor Productivity (technological knowledge and efficiency) Labour (Hours worked, number of of workers) 3-26 GDP per capita: decomposition GDP GDP per capita = Population GDP Hours Number Employed Labor Force = Hours Number Employed Labor Force Population Labor Labor Productivity Average Hours Hours Worked Worked Employment Rate Rate Labor Labor Force Force Participation Rate Rate 3-27 GDP per capita: decomposition Labor productivity Average hours worked Employment rate = 1 Unemployment Rate Labor force participation rate 9

3-28 GDP per capita decomposition 3-29 Role of Inputs More inputs means more output Diminishing returns 1 worker = $10 in output 2 workers = $18 in output 3 workers = $24 in output Marginal return is $8 in output Marginal return is $6 in output 3-30 Production Function Output = TFP Capital Stock a Labor Hours (1-a) Real GDP A parameter (a number, 0 < a < 1) Total Factor Productivity 10

3-31 Cobb-Douglas example Real GDP 1000 900 800 700 600 500 400 300 200 100 0 TFP = 1 Capital = 500 a=0.6 0 500 1000 1500 2000 2500 Hours worked 3-32 0.6 0.4 Output = (500) (Labor Hours) Real GDP 1000 900 800 700 600 500 400 300 200 100 0 0 500 1000 1500 2000 2500 Hours Worked 3-33 0.6 0.4 Output = (Capital Stock) (1000) Output 1800 1600 1400 1200 1000 800 600 400 200 0 0 500 1000 1500 2000 2500 Capital Stock 11

3-34 Implications for labor productivity Output = TFP Capital Stock a Labour Hours (1-a) Production function in intensive form: GDP Capital = TFP Labor Hours Labor Hours a Labor Productivity 3-35 Changes in Labor Productivity Total Factor Productivity Capital per Labor Hour 3-36 Labor Productivity = TFP (Capital Stock/Labor Hours) a Labor Productivity 12 8 500 1000 Capital Stock per labor hour 12

3-37 Output Growth Assuming hours worked per capita constant we have: % ΔGDP per capita = % ΔLabor Productivity And: Capital % Δ Labor Productivity = % Δ TFP + a % Δ Labor Hour 3-38 Increase in TFP Output/Labor Hour = TFP (Capital/Labor Hour) a Labor Productivity y 2 y 1 k 1 Capital Stock per Labor Hour 3-39 Growth in Output Increase in labor supply May have no impact on GDP per capita Not sustainable Increase in capital stock Must increase at faster rate than labor Increase in TFP No diminishing returns in this framework 13

3-40 Economic growth: case study 1 Case study 1: The relative slow rate of growth of the European economy if compared to that of the US especially after the second half of the 90s. 3-41 Economic growth After the WW II Europe converged to the US both in terms of GDP per capita and in terms of labour productivity (= GDP per hour worked). This catching-up pattern experienced two major breaks in the last 30 years: - Break 1: GDP per capita convergence ended after 1975 - Break 2: labour productivity convergence was reversed after 1995 3-42 Economic growth 14

3-43 Economic growth There are two different interpretations of this: a) The glass is half empty (Sapir Report) b) The glass is half full (Blanchard) 3-44 Economic growth - Half empty UE experienced: strong convergence in GDP per capita for 2 decades and a half weak convergence in the 70s divergence after the first half of the 90s EU GDP in 1970 and in 2000 is approximatively the 70% of the US one 3-45 Economic growth Half full This is true, but it is valid only for output per capita. The picture is much less negative when we consider output per hour worked: EU is approx 90% of the US one. The difference is due to the fact that European employees work less hours during the year. 15

13-46 Economic growth Δ%(GDP/Pop) = = Δ%(GDP/Hours) + Δ%(Hours/Pop) GDP per capita growth = Hourly labour productivity growth + Hour worked per capita growth The difference is due to the fact the European employee work a smaller number of hours per year wrt to US citizens. 3-47 Economic growth Half full (continues) for example, between 1970 and 2000 the number of hours worked per person decreased by 23% in France and increased by 26% in the US The Europeans have decided to increase leisure rather than income But this is not the only explanation available 3-48 GDP per capita: expanded decomposition GDP/Pop = (GDP/Hours)* (Hours/Pop) = (a) (a) GDP...= Hours HourN.Empsl... N.EmplLab.Forc..e Lab.FPoporce.. 15 564 PPoopp64Labour LabourProductivity 1-Unemployment Rate Rate (b) (b) (e) (e) Labour Average Hours Hours Worked LabourForce Worked Participation (d) Rate Rate (d) (f) (f) (g) (g) 16

3-49 Economic growth Blanchard s explanation focus on the second term on the right (however, it s decline explains only one third of the decline hours per capita) Other explanations: Prescott (2004): all decline in hours per capita was caused by higher labour taxes in Europe Ljungqvist-Sargent (2006): European welfare system increases unemployment and reduces labour force partecipation Alesina, Glaeser, Sacerdote (2006): decline in hours is mainly due to the political pressure by trade unions and left-wing parties to reduce hours and lower the retirement age 3-50 Economic growth But in the last 10 years European performance in terms of hourly labour productivity has not been good...probably because of the slower diffusion of information technologies 3-51 Economic growth source: Ark (2004) 40 Labour Productivity (GDP per hour worked) in 1999 US$ 38 36-5% -8% 34-4% 32-10% 30 28 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 European Union United States 17

3-52 Case study 2: Growth accounting for Japan, Germany, the UK, and the United States, 1913 1950. 3-53 Growth accounting for Japan, Germany, the UK, and the United States, 1950 1973. 3-54 Growth accounting for Japan, Germany, the UK, and the United States, 1973 1992. 18

3-55 Europe and Asia Total Of Which Output: Capital Labor TFP Golden Age 1950-73 France 5.0% 1.6% 0.3% 3.1% UK 3.0% 1.6% 0.2% 1.2% W. Germany 6.0% 2.2% 0.5% 3.3% Asian Miracle 1960-94 China 6.8% 2.3% 1.9% 2.6% Hong Kong 7.3% 2.8% 2.1% 2.4% Indonesia 5.6% 2.9% 1.9% 0.8% Korea 8.3% 4.3% 2.5% 1.5% Thailand 7.5% 3.7% 2.0% 1.8% Singapore 8.5% 4.4% 2.2% 1.5% Europe relied on capital and TFP Asian countries have relied on capital 3-56 Growth Accounting Japan Capital growth important through out Labor, TFP important 50 73 US TFP important until 73 Labor important after 73 UK and Germany rely less on labor 3-57 Growth Accounting Asian Tigers, 1966-1990 19

3-58 Growth accounting in emerging markets, 1960 1994. 3-59 Summary Importance of Growth Sources of Growth GDP per capita Hourly productivity Number of hours worked Productivity Capital Accumulation TFP Growth Accounting Copyright 2005 John Wiley & Sons, Inc. All rights reserved. Reproduction or translation of this work beyond that permitted in Section 117 of the 1976 United States Copyright Act without the express written permission of the copyright owner is unlawful. Request for further information should be addressed to the Permissions Department, John Wiley & Sons, Inc. The purchaser may make back-up copies for his/her own use only and not for distribution or resale. The Publisher assumes no responsibility for errors, omissions, or damages caused by the use of these programs or from the use of the information contained therein. 20