Barriers to Technology Adoption and Development

Transcription

Barriers to Technology Adoption and Development
Barriers to Technology Adoption and Development
Stephen L. Parente, Edward C. Prescott
The Journal of Political Economy, 1994
Amir Abbas Salarkia, Sadegh Eghdami
Graduate School of Management and Economics
Sharif University of Technology
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Introduction
Weakness of Standard neoclassical growth model to account
for both:
huge disparity in income level across countries;
and fast speed of convergence of Development miracles
A new Theory based on Technology Adoption Barriers
Such as: regulatory & legal constraints, bribes that must be paid,
violence or threat of violence, worker strikes, …
This is not a theory of growth but rather is a theory of relative
income!
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Model Economy
Business Sector
π‘Œπ‘‘ =
πœƒπ‘˜
β„Žπ‘‘ . 𝐴𝑑 . 𝑁𝑑 . 𝐾𝑑
0 < πœƒπ‘˜ < 1,
𝑁𝑑 ∈ 0, 𝑁
Given certain restrictions on technology parameters, this
production function is CRS in Aggregate
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Business Sector
The increase in a firm’s Technology depends on the level of firm’s
technology relative to the level of world knowledge:
𝑋𝐴𝑑 = πœ‹
𝐴𝑑+1
𝐴𝑑
𝑆
π‘Šπ‘‘
𝛼
𝑑𝑆 ⟹ 𝑋𝐴𝑑
πœ‹ 𝐴𝑑+1 𝛼 βˆ’ 𝐴𝑑 𝛼
=
.
1+𝛼
π‘Šπ‘‘ 𝛼
πœ‹ indexes for the size of technology Adoption barriers
World Knowledge grows at constant rate and all firms have access
to this knowledge:
π‘Šπ‘‘ = π‘Š0 (1 + 𝛾)𝑑
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An implication of this assumption is that development rates
increase over time
The number of years to develop from low income to moderate income economy
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Business Sector
A firm’s stock of technology relative to world knowledge:
𝑍𝑑 ≑
In BGP
𝑍𝑑
π‘Œπ‘‘
π‘Š0𝛼
𝐴𝛼+1
𝑑
1 + 𝛾 𝛼 π‘‘βˆ’1 (1 + 𝛼)
remains constant
πœƒπ‘§ ≑ 1 (1 + 𝛼) ,
𝑋𝑧𝑑 ≑ 𝑋𝐴𝑑
πœƒ
πœƒ
π‘Œπ‘‘ = πœ‡. β„Žπ‘‘ . (1 + 𝛾)(1βˆ’πœƒπ‘§)𝑑 . 𝑁. 𝐾𝑑 π‘˜ . 𝑍𝑑 𝑧
𝑍𝑑+1
1
=
(1 + 𝛾)(1βˆ’πœƒπ‘§ )
1
. 𝑍𝑑 + 𝑋𝑧𝑑
πœƒπ‘§
πœ‹
CRS condition: πœƒπ‘˜ + πœƒπ‘§ < 1 β†’ there is an optimum firm size
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Value of a firm’s dividends at time t:
𝑉𝑓𝑑 = π‘Œπ‘‘ βˆ’ 𝑀𝑑 β„Žπ‘‘ 𝑁 βˆ’ π‘Ÿπ‘˜π‘‘ 𝐾𝑑 βˆ’ 𝑋𝑧𝑑
∞
𝑉(𝑍0 ) =
Assume there are 𝐿
𝑁
max
β„Žπ‘‘ , 𝐾𝑑 , 𝑍𝑑+1 ∞
𝑑=0
𝑝𝑑 𝑉𝑓𝑑
𝑑=0
firms with same initial technology!
Aggregate per capita production
𝑦𝑑 = πœ†. β„Žπ‘‘ . (1 + 𝛾)
1βˆ’πœƒπ‘§ 𝑑
πœƒ
πœƒ
. π‘˜π‘‘ π‘˜ . 𝑧𝑑 𝑧
Change units such that πœ† = 1
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House Hold Sector
A continuum of infinitely live households of measure L
∞
𝛽𝑑 𝑙𝑛(𝑐𝑑 ) + πœ™π‘‘ 𝑙𝑛 𝑑𝑑 + πœ™π‘™ 𝑙𝑛(1 βˆ’ β„Žπ‘‘ )
max
𝑐𝑑 ,𝑑𝑑 ,β„Žπ‘‘ ,π‘˜π‘‘+1 ∞
𝑑=0
𝑑=0
∞
𝑠. 𝑑.
∞
𝑝𝑑 𝑐𝑑 + π‘₯𝑑𝑑 + π‘₯π‘˜π‘‘ ≀
𝑑=0
𝑝𝑑 .
𝑑=0
𝑀𝑑 β„Žπ‘‘ + π‘Ÿπ‘˜π‘‘ π‘˜π‘‘ + 𝑣𝑔𝑑 + 𝑣𝑓𝑑 βˆ’ 𝜏 𝑀𝑑 β„Žπ‘‘ + (π‘Ÿπ‘˜π‘‘ βˆ’ π›Ώπ‘˜ )π‘˜π‘‘ + 𝑣𝑓𝑑
𝑑𝑑+1 = 1 βˆ’ 𝛿𝑑 𝑑𝑑 + π‘₯𝑑𝑑
π‘˜π‘‘+1 = 1 βˆ’ π›Ώπ‘˜ π‘˜π‘‘ + π‘₯π‘˜π‘‘
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Model Economy
Government Sector
Government’s Budget Constraint at date t:
𝑔𝑑 + 𝑣𝑔𝑑 = 𝜏 𝑀𝑑 β„Žπ‘‘ + (π‘Ÿπ‘˜π‘‘ βˆ’ π›Ώπ‘˜ )π‘˜π‘‘ + 𝑣𝑓𝑑
Government Policy is a sequence: 𝑔𝑑 , πœπ‘‘ , 𝑣𝑔𝑑
∞
𝑑=0
Assume: πœπ‘‘ = 𝜏 , 𝑔𝑑 = 𝜎(𝑦𝑑 βˆ’ π‘₯𝑧𝑑 )
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Model Economy
Equilibrium Conditions
𝑝𝑑
𝑖𝑑 ≑
βˆ’1
𝑝𝑑+1
π‘Ÿπ‘‘π‘‘ ≑ 𝑖𝑑 + 𝛿𝑑
π‘Ÿπ‘§π‘‘ ≑
1 + 𝑖𝑑 1 + 𝛾
1βˆ’πœƒπ‘§
πœƒπ‘§
βˆ’ 1 . πœƒπ‘§
π‘˜π‘‘ : π‘Ÿπ‘˜π‘‘ π‘˜π‘‘ = πœƒπ‘˜ 𝑦𝑑
𝑧𝑑 : π‘Ÿπ‘§π‘‘ 𝑧𝑑 = πœƒπ‘§ 𝑦𝑑
β„Žπ‘‘ : 𝑀𝑑 (β„Žπ‘‘ ) = (1 βˆ’ πœƒπ‘˜ βˆ’ πœƒπ‘§ )𝑦𝑑
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Equilibrium Conditions
π‘˜π‘‘+1
𝑖𝑑
: π‘Ÿπ‘˜π‘‘ =
+ π›Ώπ‘˜
1βˆ’πœ
𝑐𝑑+1
𝑐𝑑 :
= 𝛽 1 + 𝑖𝑑
𝑐𝑑
π‘Ÿπ‘‘π‘‘ 𝑑𝑑
𝑑𝑑 :
= πœ™π‘‘
𝑐𝑑
πœ™π‘™ 𝑐𝑑
𝑀𝑑 (β„Žπ‘‘ )(1 βˆ’ 𝜏)
β„Žπ‘‘ :
=
1 βˆ’ β„Žπ‘‘
β„Žπ‘‘
Goods market clearing: 𝑐𝑑 + π‘₯𝑑𝑑 + π‘₯π‘˜π‘‘ + 𝑔𝑑 = 𝑦𝑑 βˆ’ π‘₯𝑧𝑑
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Model Economy
Balanced Growth Path
In BGP 𝑦𝑑 , 𝑐𝑑 , π‘₯𝑑𝑑 , π‘₯𝑧𝑑 , π‘₯π‘˜π‘‘ , 𝑔𝑑 , 𝑑𝑑 , π‘˜π‘‘ , 𝑧𝑑 , 𝑣𝑓𝑑 , 𝑣𝑔𝑑 grow at the
same time with the rate of:
(1 + 𝛾)(1βˆ’πœƒπ‘§)
(1βˆ’πœƒπ‘˜ βˆ’πœƒπ‘§ ) βˆ’1
Saving rates have level effect only: difference in policy do
not affect growth rates along BGP
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Model Calibration
Postwar Japanese Development
US balanced growth observations identify all parameters
Instead of πœƒπ‘§ , because π‘₯𝑧 is not reported in national accounts
We assume all parameters except πœ‹ are the same
For what value of πœƒπ‘§ is the model consistent with postwar
Japanese development?
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Model Calibration
Postwar Japanese Development
This pattern is consistent with a regime change in 1973
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Model Calibration
Postwar Japanese Development
Consistent with
observations
from BOTH
Countries
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Model Calibration
Postwar Japanese Development
Model predictions
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Output Disparity
Can difference in πœ‹ account for difference in income?
Comparison with Tax Rates
More than
40 times
difference
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3 times
difference
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Output Disparity
Can difference in πœ‹ account for difference in income?
For countries with stable relative income to US in 1950-88:
Country
Per Capita income
Relative to US
Technology
Barrier (𝝅)
United Kingdom
0.6
1.3
Colombia
0.22
2.3
Paraguay
0.16
2.8
Pakistan
0.10
3.5
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Postwar Recoveries and Development Miracles
France
Change in πœ‹
πœ‹=1.01
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πœ‹=1.25
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Postwar Recoveries and Development Miracles
West Germany
Change in πœ‹
πœ‹=1.12
πœ‹=0.88
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Postwar Recoveries and Development Miracles
South Korea
πœ‹=1.44
Change in πœ‹
πœ‹=3.5
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Postwar Recoveries and Development Miracles
Taiwan
πœ‹=1.3
Change in πœ‹
πœ‹=2.42
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Concluding Remarks
Development miracle is a result o reductions in technology
adoption barriers.
The crucial test for the theory is to obtain direct measures
of magnitudes of barriers to technology adoption across
countries.
If the barriers prove to be the key to economic
development, the next step is to understand WHY barriers
vary across countries and times.
Role of trade, …?
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Thanks for your Attention
Questions
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Model Calibration
US Data
𝑐: nondurable goods expenditure plus service expenditures
less real estate services
π‘₯𝑑 : consumer durable expenditures plus residential
structures investment
π‘₯π‘˜ : investment in physical equipment and nonresidential
structures plus inventory investment plus government
investment
π‘¦π‘š = 𝑦 βˆ’ π‘₯𝑧 is measured output
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Model Calibration
US Data
πœπ‘¦π‘š are government receipts
π‘˜ is the value of equipment plus nonresidential capital plus
one-half the value of land
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Model Calibration
US Balanced Growth Development Observation
π‘˜, 𝑑
π‘₯π‘˜ , π‘₯𝑑
π‘‚π‘π‘ π‘’π‘Ÿπ‘£π‘Žπ‘‘π‘–π‘œπ‘›
Growth
Rate
𝑑𝑑+1 = 1 βˆ’ 𝛿𝑑 𝑑𝑑 + π‘₯𝑑𝑑
𝛿𝑑
π‘˜π‘‘+1 = 1 βˆ’ π›Ώπ‘˜ π‘˜π‘‘ + π‘₯π‘˜π‘‘
π›Ώπ‘˜
𝑔 = 0.9 βˆ— π‘”π‘œπ‘£π‘’π‘Ÿπ‘›π‘šπ‘’π‘›π‘‘ 𝑒π‘₯π‘π‘’π‘›π‘‘π‘–π‘‘π‘’π‘Ÿπ‘’
𝜎
𝑔𝑑 = 𝜎 𝑦𝑑 βˆ’ π‘₯𝑧𝑑
𝑉𝑓𝑑 = π‘Œπ‘‘ βˆ’ 𝑀𝑑 β„Žπ‘‘ 𝑁 βˆ’ π‘Ÿπ‘˜π‘‘ 𝐾𝑑 βˆ’ 𝑋𝑧𝑑
𝑔𝑑 + 𝑣𝑔𝑑 = 𝜏 𝑀𝑑 β„Žπ‘‘ + (π‘Ÿπ‘˜π‘‘ βˆ’ π›Ώπ‘˜ )π‘˜π‘‘ + 𝑣𝑓𝑑
𝜏
Observation: πœπ‘¦π‘š = 𝜏(𝑐 + π‘₯π‘˜ +π‘₯𝑑 + 𝑔)
π›Ώπ‘˜
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𝑐𝑑+1
= 𝛽 1 + 𝑖𝑑
𝑐𝑑
Observation: i(average of return on equity)
𝛽
πΊπ‘Ÿπ‘œπ‘€π‘‘β„Ž π‘Ÿπ‘Žπ‘‘π‘’
𝑖𝑑
π‘Ÿπ‘˜π‘‘ =
+ π›Ώπ‘˜
1βˆ’πœ
π‘Ÿπ‘˜
πœƒ
πœƒ
π‘Œπ‘‘ = πœ‡. β„Žπ‘‘ . (1 + 𝛾)(1βˆ’πœƒπ‘§ )𝑑 . 𝑁. 𝐾𝑑 π‘˜ . 𝑍𝑑 𝑧 π›Ώπ‘˜
π‘Ÿπ‘§π‘‘ ≑
1 + 𝑖𝑑 1 + 𝛾
1βˆ’πœƒπ‘§
πœƒπ‘§
βˆ’ 1 . πœƒπ‘§
π‘Ÿπ‘˜π‘‘ π‘˜π‘‘ = πœƒπ‘˜ 𝑦𝑑
Z
(1βˆ’πœƒπ‘˜ βˆ’πœƒπ‘§ ) βˆ’1
π‘Ÿπ‘§
π΄π‘ π‘ π‘’π‘šπ‘π‘‘π‘–π‘œπ‘›: πœƒπ‘§
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𝛾
y
π‘Ÿπ‘§π‘‘ 𝑧𝑑 = πœƒπ‘§ 𝑦𝑑
(1 + 𝛾)(1βˆ’πœƒπ‘§ )
πœƒπ‘˜
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𝑀𝑑 β„Žπ‘‘ = 1 βˆ’ πœƒπ‘˜ βˆ’ πœƒπ‘§ 𝑦𝑑
𝑀(β„Ž)
π‘Ÿπ‘‘π‘‘ = 𝑖𝑑 + 𝛿𝑑
π‘Ÿπ‘‘
π‘Ÿπ‘‘π‘‘ 𝑑𝑑
= πœ™π‘‘
𝑐𝑑
πœ™π‘™
πœ™π‘™ 𝑐𝑑
𝑀𝑑 (β„Žπ‘‘ )(1 βˆ’ 𝜏)
=
1 βˆ’ β„Žπ‘‘
β„Žπ‘‘
πœ™π‘‘
π‘‚π‘π‘ π‘’π‘Ÿπ‘£π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ 𝑐, 𝑑 π‘Žπ‘›π‘‘ β„Ž
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