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(1)

Economic History

Giandomenico Piluso (DEPS) 29 February-18 May 2016

(2)

Economic History [ 2000514]

60 hours, 9 credits

Monday, 2-4 pm (classroom 1) Tuesday, 2-4 pm (classroom 1)

Wednesday, 2-4 pm (classroom 1)

Office/student consultation hours:

DEPS, second floor, office 219, Tuesday, 10-12 am

Website: http://docenti.unisi.it/giandomenicopiluso/

email: giandomenico.piluso@unisi.it

(3)

The issues

What does “economic growth” mean and how to measure economic development?

Why some countries are rich and others poor?

Does history matter?

complexity and varieties

Just technology? Or institutions and past

choices are as much (or more) relevant in shaping economic patterns?

(4)

The structure

Economic History: A very short introduction

An introduction to macroeconomics:

national accounts and growth theory (and facts)

A global economic history: a long term perspective [timeline]

Major topics in economics and

economic history

(5)

Readings

O. Blanchard, Macroeconomics, Prentice Hall, 2005 (Chap.

2, A Tour of the Book; Chap. 10, The Facts of Growth).

D. Acemoglu, S. Johnson, J. Robinson, Institutions as a fundamental cause of long-run growth

(http://economics.mit.edu/files/4469).

R.C. Allen, Global Economic History. A Very Short

Introduction, Oxford and New York: Oxford University Press, 2011.

K.G. Persson and Paul Sharp, An Economic History of

Europe. Knowledge, Institutions and Growth, 600 to the Present, Cambridge: Cambridge University Press, 2015 (second edition).

(6)

Tests and examinations

Partial examinations: a mid-term examination (11 April 2016) and a final examination (24 May 2016)

Written tests:

multiple-choice and free-response questions:

multiple-choice questions: 11

free-response questions: 2 (a shorter and a longer, to choose from 4)

a definition (e.g., “What is a definition of GDP?”)

(7)

A very short introduction to economic growth

# 1

29 February 2016

(8)

Why are some countries so rich

and other countries so poor?

(9)

Does history matter?

Two variables are plotted in the chart: income and longevity

Longevity appears related to income

As shown, global inequality has been created by the very success of modern economic growth [Deaton, 2013]

A. Inequality is related to growth, so it appears as a dynamic phenomenon:

the Great Divergence [Pomeranz, 2000]

(10)

An unequal world,

a world of differences

Inequality between people and nations is

related to levels of wealth, longevity, health The world is more and more unequal, even

though poverty is relatively decreasing

(particularly, if we take China into account) How can we explain emerging differences in

income and longevity around the world?

Why have some nations succeeded, “the rich”, and others failed, “the poor”?

(11)

Let us start with population

Population behaviour (birth/death rate) and wellbeing depend on resources Population wellbeing is a function of

income, that is of technology + capital and related productivity

Differences in income and longevity

vary not simply over time, but, rather,

in history, as data tell us…

(12)

World population

or Malthus goes to the attic

(13)

Some rough facts

The dynamics of the world population suggest an enduring long-term stagnation (in the first millennium)

Afterwards, the population grew at a very low rate up to 1750 ca, but grew!

After the industrial revolution world population grew at a very (and increasing) high rate,

even almost geometrically in the last century

(14)

The Malthusian world

Malthus [1798] explained the long-term stagnation until the late XVIII century as a result of scarcity In fact, the size of the population depends on the

size of the economy (tech + K) and a slowly growing economy checks its expansion

pop = births – deaths [CBR - CDR/1000]

How does population reach its equilibrium?

Positive checks (mortality rate): famine, disease, war, but with low levels of income

Negative checks (fertility rate): delaying marriage or not marrying at all, with high levels of income

(15)

An equal world, regardless of classes and wealth

Before the Great

Transformation (i.e., the industrial revolution) life expectancy at birth as a measure of opportunity was rather equal “across the board”, at least in the UK

The life expectancy of the dukes was similar to, or even lower than, that of the general population

Q. Was life expectancy a good measure of material

wellbeing or wealth before the industrial revolution?

(16)

Population and Growth

# 2

1 March 2016

(17)

The post-Malthusian world

The industrial revolutions allowed the population to grow since a larger and more productive

economy could support more people (and even richer and healthier people who lived longer) Industrial revolutions have made productivity

gains a permanent condition through technological innovation [Mokyr, 2005]

But they have not been a universal phenomenon Some countries industrialised, whilst others

deindustrialised or stagnated

Hence, the Great Divergence [Pomeranz, 2000]

(18)

World population, 1820-2012

Population (in billions) Average growth rate (%)

1500 0.4 -

1600 0.5 0.2

1700 0.6 0.2

1820 1.0 0.5

1850 1.2 0.5

1900 1.6 0.6

1950 2.5 0.8

1990 5.3 1.8

2000 6.0 1.5

2012 7.0 1.4

(19)

World population by macroregions, 1750-2150

A clear correlation between

economic growth (industrialisation) and population size, that is its growth rate, at least until the 1950s

(20)

Population growth, 1750-2050

(21)

Living longer,

a measure of wellbeing and growth

The Great Divergence in longevity:

developed economies (right green bar)

vs “developing” or “less developed” economies (left grey bar)

(but today India has a higher life expectancy than Scotland in

1945! Why?) A longer life partly

explains population growth and size

(22)

A slightly closer look

In the last 50 years the “less developed regions” of the world have got a reduction in mortality rates

It could be the uneven result of income increase (market health), treatment and

innovation (public health), plus education which

improve the effectiveness of

both [Deaton, 2013] [Source: Deaton, 2013]

(23)

China and India, 1950-2010

Both China and India have improved their income per capita after the 1980s

The IMR, related to poverty

diseases, decreased in both countries but following different patterns:

steadily in India, slowing down after 1979 reforms in China Where’s the answer: i) partly,

income growth; ii) partly,

technology/intervention “bonus”

[Source: Deaton, 2013]

(24)

A larger population, a larger income

GDP per capita, price adjusted 2000US$

An overall success, although unequally spread around the world, as seen, and even within a

nations:

“A large income is the best recipe for

happiness I ever heard of” [Austen, Mansfield Park, 1814]

(25)

The demographic transition

Population behaviour changes in response of changing

incentives as income per capita grows

A demographic

transition model (DTM) may offer a simplified idea of the interaction of factors

(26)

Population structure and the DTM

The DTM produces a sea change in the population

structure by age

Such changes (stage 4) can robustly

influence fiscal budgets, pension systems and even political preferences

(27)

The Great Escape

# 3

2 March 2016

(28)

What does it mean?

The Great Escape from what?

The Great Escape is from hunger, disease and premature death [Fogel, 2004]

This is the “natural” condition of humanity up to the industrial revolution: the normalcy of the past

the low average growth rate of population (0.2 pc/year) is a measure of both

instability (crops) and exposure to major shocks (e.g. the Black Death, 1346-1353)

(29)

The Black Death in Europe, the

Mediterranean and England population

CDR was even higher in certain areas, such as Germany, or in some Italian cities (Florence, Sienna), where

density was incredibly high for the then current urbanisation rates: CDR oscillated between 30 and 60%

The bubonic plague hit a population which was probably reaching the upper limit of the ancien régime economy’s potential

The Mediterranean commercial space was an effective “vector”

(30)

The Great Escape in Europe

Europe has been the first region to escape from hunger, disease and premature

death

Why Europe first?

The more immediate cause has been

technology innovation and productivity improvements

But has the European population model been responsible for such a result?

(31)

Competing explanatory models for the Great Escape

i) The “family structure model”

Western Europe was distinctive, wasn’t it?

having a preventive check demographic

system so that birth and death rates were lower

In such a context the standard of living was

higher and provided more scope for savings and investment

As a result Western Europe’s lead grew over time. But, have a check…

(32)

Was actually England a positive check society?

Vital rates (CBR – CDR)

depict a different England, with no positive checks as CBR started growing,

while CDR declined, after 1750 when industrial

revolution set in motion Economic growth

(technological innovation) better explains population dynamics

[Source: Wrigley and Shofield, 1989]

(33)

So, was it the economy enough?

ii) Increase in productivity/income as a result of capital accumulation + technological

innovation

The first industrial revolution (ca 1750-1860) provided more income (increasing living standards) and a wider range of goods and services [Allen, 2006]

But was it enough?

+ iii) control of disease through public health measure (e.g., vaccines, water supply)

(34)

The Great Escape:

nutrition and public health control

The agricultural revolution (intensive high farming) in the XVIII cent.:

per capita income grew and steady improvements in nutrition (stronger and healthier workers)

[Fogel, 1994]

+ Public health control: drinking water

supply/sewage, sanitation, vaccines [Deaton, 2013]

e.g., variolation (smallpox): Royal Family, 1721)

at last breaking up the long-lasting fecal-oral link

(35)

What did a better health mean in Western Europe?

Public health control (reducing

diseconomies) reduced infant mortality, extended average life expectancy and improved health/workers’ efficiency

a “natural experiment in history”: John Snow (physician), London, 1852: mapped cholera deaths and matched them with offending

water companies: sanitation was the response

Better-off workers (net nutrition – nutrition lost to disease) meant higher efficiency

(36)

Just higher “individual”

efficiency?

Public health improved the living standard and provided more scope for savings and investment

But it offered also a major opportunity to

invest more in human capital (education), perfecting individual abilities, thus

favouring technological innovation in the

long run: in a word, capabilities [Sen, 1999]

and a demand for public investments (with positive feedback effects)

(37)

And technological innovation (in historical perspective)

Technology (innovation) is the first apparent factor which accounts for growth in productivity and income

Does exist a correlation between a higher income today and innovation in the past?

Actually, higher levels of “technology adoption” in the past are positively

correlated with a current higher income Why?

(38)

Why does history matter

in technological innovation?

New technologies stem out from existing technologies

A “rich technological heritage” provides an extensive knowledge and a better

understanding of the potential of new technologies

There are positive feedbacks between

technology, science and human capital Lower costs and learning by doing

(39)

Are cumulative effects a trap?

Undoubtedly, cumulative effects matter and can lock some countries in a (poverty) trap

technology, physical capital, human capital, knowledge (R&D) (the “Great Left Behind”)

But historically they are not insurmountable barriers to economic growth, as they can offer “demonstration effects”

catching up strategies (USA, D, J), industrial

targeted policies (J, KR), technology transfers (China)

(40)

Just a one-way story?

Sometimes the history of economic growth is represented as a history of material

progress with no pitfalls at all

But the story of economic progress is a story of growth and increasing inequality, both amongst nations and within countries

This course will provide some methods and empirical evidence to understand how and why

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