Three Lectures on Economic Efficiency and Growth Thorvaldur Gylfason Outline and aims Present a policy-oriented overview of the theory and empirical evidence of economic growth Trace linkages between economic growth and its main determinants: saving, investment, and economic efficiency Exogenous vs. endogenous growth Liberalization, stabilization, privatization Education, institutions, natural resources Outline and aims Lecture I Saving, efficiency, and economic growth Lecture II Economic policy and growth Lecture III Education, natural resources, institutions, and empirical evidence Introduction Growth theory As old as economics itself Smith, Marshall, Schumpeter, Keynes Explicit growth theory started with Harrod and Domar in 1940s Why important? Unfashionable in 1960s and 1970s Limits to growth, etc. Growth and development Growing apart Country B: 2% a year GNP per capita Investment Efficiency Institutions Threefold difference after 60 years Policy Country A: 0.4% a year 0 60 Years National economic output Economic growth: The short run vs. the long run Economic growth in the long run Potential output Actual output Upswing Business cycles in the short run Downswing Time Other comparisons 1) 2) 3) 4) 5) 6) West-Germany vs. East-Germany Austria vs. Czech Republic US vs. USSR South Korea vs. North Korea Taiwan vs. China Finland vs. Estonia See my Pictures of Growth www.hi.is/~gylfason/pictures2.htm Further comparisons 1) 2) 3) 4) 5) 6) Thailand vs. Burma Mauritius vs. Madagascar Botswana vs. Nigeria Tunisia vs. Morocco Spain vs. Argentina Dominican Republic vs. Haiti Singapore and Malaysia: GNP per capita 1962-2001 30000 Malaysia 25000 Singapore 20000 15000 Current US$, Atlas method 10000 5000 19 62 19 66 19 70 19 74 19 78 19 82 19 86 19 90 19 94 19 98 0 Botswana and Nigeria: GNP per capita 1962-2001 3500 Botswana 3000 Nigeria 2500 2000 Current US$, Atlas method 1500 1000 500 19 62 19 66 19 70 19 74 19 78 19 82 19 86 19 90 19 94 19 98 0 Spain and Argentina : GNP per capita 1962-2001 18000 16000 Argentina 14000 Spain 12000 10000 Current US$, Atlas method 8000 6000 4000 2000 19 62 19 66 19 70 19 74 19 78 19 82 19 86 19 90 19 94 19 98 0 Mauritius and Madagascar: GNP per capita 1962-2001 4500 4000 Mauritius 3500 Madagascar 3000 2500 Current US$, Atlas method 2000 1500 1000 500 19 62 19 66 19 70 19 74 19 78 19 82 19 86 19 90 19 94 19 98 0 Ireland and Greece: GNP per capita 1962-2001 25000 Ireland 20000 15000 Greece Current US$, Atlas method 10000 5000 19 62 19 66 19 70 19 74 19 78 19 82 19 86 19 90 19 94 19 98 0 Basic growth theory A. B. C. Harrod-Domar model Solow model Endogenous growth model Harrod-Domar model Two assumptions S sY K vY Implications for growth s g v 0.21 g 0.04 0.03 3 SI S sY I K K sY vY vY Y s s vY vY Y v Harrod-Domar model Three propositions about growth s g v dg 0 ds dg 0 dv dg 0 d Solow model gn Four assumptions Y Y nt L L0e F A const. Y ( AL) K a 1 a S sY I K K Y g an (1 a ) s an (1 a ) g K Solow model Endogenous output/capital ratio y g an (1 a ) s k Exogenous Exogenous Endogenous Y ( AL) K a 1 a y Ak 1 a y a Ak k Solow model Dynamic stability of output/capital ratio K k L k K L y n k 0 k s y k K L s n sAk a n k dk (1 a ) asAk 0 dk Solow model Dynamic stability of output/capital ratio dk asAk (1 a ) 0 dk k E k Solow model Two equations in two unknowns, y and k y Ak 1 a n y s k sA k n s y n 1 a a A 1 a 1 a Solow model Output per head n y s E y Ak1 a Output/capital ratio Capital per worker k Solow model s y n 1 a a A Four propositions about long-run growth dy 0 ds dy 0 dA dy 0 dn dy 0 d 1 a Closed-form solution to Solow model Y ( AL) K a 1 a yˆ Y / AL kˆ K / AL 1 a ˆ yˆ k K I K sY K L L0e nt A A0e qt AL A0 L0e ( n q )t K syˆ kˆ AL Closed-form solution to Solow model K K K ˆ k 2 2 ( AL) syˆ kˆ nkˆ qkˆ AL AL A L kˆ yˆ g kˆ s n q skˆ a n q kˆ kˆ kˆ ˆa ˆ n q k s 1 a k s ˆ k 1 a a kˆ kˆ n q kˆ s n q Closed-form solution to Solow model a ˆ vk kˆ v a ˆ v k v kˆ v a kˆ 1 a ˆ v k v n q v s a s s a a n q t ˆ ˆ e vk k0 nq n q a Closed-form solution to Solow model k̂ s ˆ lim k t n q 1 a s lim yˆ t n q Y lim y lim t t L 1 a a s A n q k̂0 time 1 a a s A0e n q qt 1 a a Solow model: Convergence kˆ an q kˆ kˆ 0.70.01 0.01 0.04kˆ 0.7 0.06 k 0.04kˆ e e 0.04t 0.5 t 17 0.04t 0.8 t 40 Output per head Solow model: Convergence n y s Rich country’s initial income per head y Ak1 a Poor country’s initial income per head Capital per worker k An Increase in the Saving Rate C Output per head C’ P F E Capital per worker An Increase in Static Efficiency C Output per head P’ F P E Capital per worker An Increase in Population Growth or Depreciation C’ Output per head C P E F Capital per worker An Increase in Dynamic Efficiency (Technical Progress) C’ Output per head C F P’ P E Capital per worker Solow model: Conclusion Three main points to note Long-run growth is exogenous: g = n + q No role for economic forces, policy or institutions, just technology But education is good for growth Model implies convergence Poor countries grow more rapidly than rich The medium term can be quite long Growth is endogenous for a long while Solow model with education Y ( AH ) K a H Le 1 a bt AH grows at n + q + b g nqb dg 0 ds Education stimulates long-run growth Endogenous growth Y AL K a 1 a A E ( K / L) Y EK g sE g nq a Economic growth, g Endogenous growth Saving rate times efficiency minus depreciation C B 45° O Population growth g nq g sE A dg 0 ds dg 0 dE Technological progress, q A tax on education and endogenous growth Y AGK G tK Y At K EK E At g s At Inflation, money, and endogenous growth M Y K P M Y K PK M E PK 1 gs 1 M 1 PK 1 Education and endogenous growth, again R&D model (Romer) Y A(1 b) L A BbLA A BbL A dg 0 ds g BbL n dg 0 db Education and endogenous growth, once more Human capital model (Lucas) Y AL K a Ac 1 a g n 1 h a Y (cL) K a c 1 h c 1 a dg 0 ds How growth becomes endogenous Solow model: when s rises, E = Y/K falls due to decreasing returns to capital, so g stays put Y ( AL) K a 1 a y Ak 1 a y a Ak k Endogenous growth: when s rises, E stays put due to constant returns to capital, so g rises Y EK Y y E f (k ) K k Empirical growth research 1) Cross-country regressions 2) 3) Cross sections vs. panels Averages vs. initial values of independent variables 4) 5) Large samples, beginning in 1960 or 1970 Cost of simultaneity bias vs. cost of discarding available data Recursive modeling vs. instruments Levels of income vs. rates of growth Recursive modeling Growth regression g = a0 – a1y0 + a2x + a3z (1) where x is exogenous and z is endogenous z = b0 + b1y0 – b2x (2) where z is, say, education and x is natural resource reliance Eq. (2) makes z exogenous, so (1) and (2) can be estimated by OLS TSLS calls for instruments that help explain z without being correlated with g: Not easy Levels of income vs. rates of growth g a by0 cx Levels of income vs. rates of growth g a by0 cx g g y y0 T ln( 1 ) y0 T ( ) 100 100 Levels of income vs. rates of growth g a by0 cx g g y y0 T ln( 1 ) y0 T ( ) 100 100 T y y0 (a by0 cx) 100 Levels of income vs. rates of growth g a by0 cx g g y y0 T ln( 1 ) y0 T ( ) 100 100 T y y0 (a by0 cx) 100 y y0 x T a 100 T c 100 Levels of income vs. rates of growth g a by0 cx g g y y0 T ln( 1 ) y0 T ( ) 100 100 T y y0 (a by0 cx) 100 y y0 x T a 100 T 1 b 100 T c 100 Absolute convergence: Growth rates Growth of GDP per capita 1960-2000 (%) 15 y = -0,864x + 8,3057 R2 = 0,1821 10 5 0 4 6 8 10 -5 -10 Log of GNP per capita 1960 12 Absolute convergence: Levels of income 12 Log of GNP per capita 2000 y = 0,6575x + 3,2827 R2 = 0,4523 10 8 4 6 45º 4 4 5 6 7 8 9 10 Log of GNP per capita 1960 11 12 From efficiency to growth Basic result If it – anything! – increases economic efficiency, it is also good for growth Follows from Harrod-Domar model as well as from endogenous-growth theory and also, as a proposition about the medium run, from the Solow model In practice, Solow model and endogenous growth are hard to distinguish So, let’s look more closely at efficiency Liberalization Increases Economic Efficiency D H Domestic, distorted price ratio E Traditional output C O G Modern output Liberalization Increases Economic Efficiency World price ratio D H If output gain = E and price distortion = c, then E = mc2 Traditional Output output gain OC = modern output CA = traditional output OA = total output O Domestic, distorted price ratio E Price distortion F C A G Modern output B Liberalization Increases Economic Efficiency World price ratio Welfare gain D H Exports J K E Traditional output Price distortion Output gain Domestic, distorted price ratio Imports F C O A G Modern output B Liberalization Increases Economic Efficiency Welfare gain D H J E M Traditional output N Transition takes time: From E to F via M, N, and Q Price Q distortion F C O A G Modern output B Liberalization Increases Economic Efficiency Welfare gain D World price ratio J K E Productivity gain Price AB = static gain BC = dynamic gain distortion AC = AB + BC = total gain F A G Traditional output O Modern output H B C Stabilization Increases Economic Efficiency Distorted price ratio D C Inflation distortion E F Real capital If output gain = E and inflation distortion = c, then, again, E = mc2 Output gain Undistorted price ratio G H O Output after Output before 45° Financial capital A B Privatization Increases Economic Efficiency Undistorted price ratio D E Distorted price ratio H Public output Price and quality distortion F J Output gain 45° O N Private output A K G B From efficiency to growth: Same story time and again Free trade is good for growth – Reduces the inefficiency that results from restrictions on trade Price stability is good for growth – Reduces inefficiency resulting from inflation Privatization is good for growth – Reduces inefficiency resulting from SOEs Education is good for growth – Reduces the inefficiency that results from inadequate education Investment and growth, 1965-1998 Growth of GNP per capita 1965-1998, adjusted for initial income (% per year) 6 An increase in investment by 4% of GDP is associated with an increase in per capita growth by 1% per year 4 2 Botswana Thailand 0 0 5 10 15 20 25 30 -2 1% -4 Jordan 4% -6 r = 0.65 Nicaragua -8 Gross domestic investment 1965-1998 (% of GDP) 35 Education and growth, 25 point increase in secondary1965-1998 Aschool enrolment goes along with an increase in per capita growth by 1% per year Per capita economic growth 1965-98, adjusted for initial income (% per year) 6 4 2 Japan Thailand Finland 0 0 50 100 -2 -4 Ghana -6 Diminishing returns: The additional benefit from education becomes smaller as enrolment increases r = 0.72 -8 Secondary-school enrolm ent 1980-97 (%) Natural resources and growth, 1965-1998 Growth of GNP per capita 1965-98, adjusted for initial income (%) 6 An increase in the natural capital share by 8% goes along with a decrease in per capita growth by 1% per year 4 Mauritius 2 0 0 10 20 30 40 50 Cameroon -2 Mali -4 Madagascar -6 r = -0.64 -8 Share of natural capital in national wealth 1994 (%) 60 Growth of GDP per capita 1960-2000, adjusted for initial income (% per year) Democracy and growth, 1965-1998 8 Equatorial Guinea Botswana 6 Singapore Korea 4 Saudi-Arabia China Cyprus Malaysia 2 0 -10 -5 0 5 -2 -4 -6 r = 0.48 -8 Index of dem ocracy 1960-2000 10 Growth regressions Based on World Bank data World Development Indicators, published each year on CD Wide coverage: 208 countries, 42 years Could also use Penn data (compiled by Summers and Heston), but they cover fewer countries Here, we report cross-sectional evidence, representing each country by a single observation for each variable Conclusion Saving and efficiency are good for growth Efficiency gains take many different forms Liberalization, stabilization, privatization Conversion of inputs into output is not solely a matter of technology, but also efficiency, so economic policy matters