Mazol

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Regime Type and
Economic
Development
By James Mazol
Research Question and
Background
 Are authoritarian governments better than democracies
at promoting economic development?
 Economic Development and Political Legitimacy –
Seymour Martin Lipset (1959)
 Autocracies superior in organizing and employing resources
 Less fearful of public opinion
 Overall more efficient
 Samuel Huntington’s Theory of a “Directing Agent”
(1968)
 Better and more willing “enforcers”
 East Asian “Tigers” and China
Hypotheses
 On average, democracies will be better than
autocracies at promoting economic
development
 As a country’s corruption level decreases,
economic development will increase
 As a country’s level of business regulation
increases, economic development will
decrease
Independent Variable
 Regime Type: Democracy or Autocracy
 Source: Freedom House, Freedom in the
World Index 2006
 120 electoral democracies
 45 autocracies
 Received 6 or 7 in Political Rights ranking
 Freedom House designates 6 or below as
autocratic government
Dependent Variable
 Components of Economic Development
 Overall wealth, growth, distribution, level of
development
 Growth – Real GDP growth %, CIA World Factbook, 2006
 Wealth – GDP/capita, International Monetary Fund Index,
2006
 Distribution – Gini Coefficient, UN Human Development
Report, 2006
 Development Level – Development List, Triennial Review of
UNCTAD (Conference on Trade and Development)
 50 countries are classified as Least Developed Countries (LDC)
 Lowest indicators of socioeconomic development with the lowest
Human Development Index ratings of all the countries in the world
Data Analysis –
Comparison of Means
 Gini – Nearly the same
 Democracies = 41.02
 Autocracies = 39.06
 Growth – Autocracies 1/3 higher
 Democracies = 4.6%
 Autocracies = 6.96%
 GDP – Democracies have double the wealth
 Democracies = $12,978
 Autocracies = $6380
Data Analysis
Measures of Association
Report
Electoral Democracy
or Autocracy?
Electoral Democracy
Autocratic
Total
Mean
N
Std. Deviation
Mean
N
Std. Deviation
Mean
N
Std. Deviation
What is
the GDP
Per Capita
($ at PPP)
12978.750
120
12526.440
6380.2667
45
7200.4176
11179.164
165
11681.406
How Equally
is Incom e
Dis tributed
(100 = perfect
inequali ty)
41.0224
85
11.57851
39.0583
24
9.62085
40.5899
109
11.16472
Eta
Percent
GDP growth
4.6092
120
2.22643
6.9644
45
6.16165
5.2515
165
3.85873
What is the GDP Per
Capita ($ at PPP) *
Electoral Democracy or
Autocracy?
How Equally is Income
Distributed (100 = perfect
inequality) * Electoral
Democracy or Autocracy?
Percent GDP growth *
Electoral Democracy or
Autocracy?
Eta Squared
.252
.064
.073
.005
.273
.074
ANOVA Table
What is the GDP Per
Capita ($ at PPP) *
Electoral Democracy or
Autocracy?
Between Groups
How Equally is Income
Dis tributed (100 = perfect
inequality) * Electoral
Democracy or Autocracy?
Between Groups
Within Groups
Percent GDP growth *
Electoral Democracy or
Autocracy?
(Combined)
Sum of
Squares
1.4E+009
df
1
Mean Square
1424944875
128550408.5
Within Groups
2.1E+010
163
Total
2.2E+010
164
72.193
1
72.193
13390.106
107
125.141
13462.299
108
181.549
2260.383
1
163
2441.932
164
(Combined)
Total
Between Groups
Within Groups
Total
(Combined)
181.549
13.867
F
11.085
Sig.
.001
.577
.449
13.092
.000
Regime type and mean GDP per
capita
Regime type and GDP growth
Regime type and Gini
How much influence does
regime type have?




Evidence does not support hypothesis
GDP and Growth statistically significant
Gini not statistically significant
Eta Square
 GDP (p/capita) - .064
 Gini - .005
 Growth - .074
Does Democracy Lead to a
More Developed Country?
Electoral Democracy or Autocracy? * Is the Country Highly Underdeveloped? Crosstabulation
Electoral Democracy
or Autocracy?
Total
Electoral Democracy Count
% within Electoral
Democracy or Autocracy?
% of Total
Autocratic
Count
% within Electoral
Democracy or Autocracy?
% of Total
Count
% within Electoral
Democracy or Autocracy?
% of Total
Is the Country Highly
Underdeveloped?
Either Highly
Developed
Least
or Medium
Developed
Developed
Country
103
17
Total
120
85.8%
14.2%
100.0%
62.4%
30
10.3%
15
72.7%
45
66.7%
33.3%
100.0%
18.2%
133
9.1%
32
27.3%
165
80.6%
19.4%
100.0%
80.6%
19.4%
100.0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
Value
7.691 b
6.514
7.121
df
1
1
1
Symmetric Measures
Asymp. Sig.
(2-sided)
.006
.011
.008
Exact Sig.
(2-sided)
Nominal by
Nominal
.008
7.644
1
Exact Sig.
(1-sided)
.007
.006
165
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 8.
73.
Directional Measures
Lam bda
Goodman and
Kruskal tau
Sym m etric
Electoral Dem ocracy or
Autocracy? Dependent
Is the Country Hi ghly
Underdeveloped?
Dependent
Electoral Dem ocracy or
Autocracy? Dependent
Is the Country Hi ghly
Underdeveloped?
Dependent
N of Valid Cases
Value
.000
b. Using the asymptotic standard error assuming the null
hypothesis.
Asym p.
a
Std. Error
.000
Approx. T
.b
b
Approx. Si g.
.b
b
.000
.000
.
.000
.000
.
.047
.036
.006
.047
.036
.006
a. Not as s um ing the null hypothes is.
b. Cannot be com puted because the as ym ptotic s tandard error equals zero.
c. Bas ed on chi-s quare approxim ation
Phi
Cramer's V
a. Not assuming the null hypothesis.
a. Computed only for a 2x2 table
Nom i nal by
Nom i nal
Value Approx. Sig.
.216
.006
.216
.006
165
b
.
b
.
c
c
Data Analysis
17 Democracies are LDCs – 14.2%
15 Autocracies are LDCs – 33.3%
Small Chi-Square, statistically significant
Cramer’s V - .216 indicates strong
relationship
 LDC definition includes more than just
economic development




Other factors that may
influence development
 Business Regulation – World Bank, Doing Business
Report, 2006
 Starting a business index
 Countries ranked individually 1-172, with 172 the hardest
 Time, cost, K investment
 Good indicator of level of overall regulation of business
 Corruption – Transparency International, Corruption
Perceptions Index, 2006
 Draw on expert opinion surveys
 1-10 ranking, with 10 = extremely low levels of government
corruption
Corruption Correlations
Correlations
How Corrupt is the
Country? (10 = not
corrupt)
How Equally is Income
Dis tributed (100 =
perfect inequality)
What is the GDP Per
Capita ($ at PPP)
Percent GDP growth
Pears on Correlation
Sig. (2-tailed)
N
Pears on Correlation
Sig. (2-tailed)
How Equally
How Corrupt
is Income
What is
is the
Dis tributed
the GDP
Country? (10
(100 = perfect Per Capita
Percent
= not corrupt)
inequality)
($ at PPP)
GDP growth
1
-.342**
.873**
-.227**
.000
.000
.008
136
104
136
136
-.342**
1
-.400**
-.213*
.000
.000
.026
109
109
1
-.115
.142
N
104
Pears on Correlation
Sig. (2-tailed)
N
.873**
.000
136
109
165
165
Pears on Correlation
Sig. (2-tailed)
N
-.227**
.008
136
-.213*
.026
109
-.115
.142
165
1
**. Correlation is s ignificant at the 0.01 level (2-tailed).
*. Correlation is s ignificant at the 0.05 level (2-tailed).
109
-.400**
.000
165
Pearson’s R Results
 GDP p/capita = .873 – Very strong positive
relationship
 R square = .76
 GDP growth rate = -.227 – Weak negative
relationship
 R square = .05
 Gini Coefficient = -.342 – Moderate negative
relationship
 R square = .12
 All significant at .01 level
Interpreting Data
 Evidence partially supports hypothesis
 Low levels of corruption lead to wealth,
very strong relationship
 Cannot say it is a major factor of
development because of moderate
negative relationship with Gini
Regression Analysis
What is the GDP Per Capita ($ at PPP)
Corruption and GDP p/capita Regression
What is the GDP Pe r Capita ($ at PPP) = -7910.57 + 4764.42 * corrupt
R-Square = 0.76
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How Corrupt is the Country? (10 = not corrupt)
Regression Analysis
ow Equally is Income Distributed (100 = perfect inequality)
Corruption and Gini Regression
How Equally is Incom e Dis tr ibute d (100 = pe r fe ct ine quality) = 47.89 + -1.70 * cor r upt
R-Squar e = 0.12
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How Corrupt is the Country? (10 = not corrupt)
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Regression Analysis
Corruption and GDP Growth Rate Regression
Pe rce nt GDP grow th = 7.18 + -0.41 * corrupt
R-Square = 0.05
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Regulation Correlations
Correlations
How Equally is Income
Dis tributed (100 =
perfect inequality)
Pears on Correlation
Sig. (2-tailed)
N
What is the GDP Per
Pears on Correlation
Capita ($ at PPP)
Sig. (2-tailed)
N
Percent GDP growth
Pears on Correlation
Sig. (2-tailed)
N
How Easy is it to Start a Pears on Correlation
Bus ines s
Sig. (2-tailed)
N
How Equally
is Income
Dis tributed
(100 = perfect
inequality)
1
**. Correlation is s ignificant at the 0.01 level (2-tailed).
*. Correlation is s ignificant at the 0.05 level (2-tailed).
What is
the GDP
How Easy
Per Capita
Percent
is it to Start
($ at PPP)
GDP growth a Bus ines s
-.400**
-.213*
.340**
.000
.026
.000
109
109
109
106
-.400**
1
-.115
-.542**
.000
.142
.000
109
165
165
146
-.213*
-.115
1
.119
.026
.142
.152
109
165
165
146
.340**
-.542**
.119
1
.000
.000
.152
106
146
146
146
Pearson’s R results
 Gini Coefficient = .340 – moderate positive
relationship
 R square - .12
 GDP growth = .119 – Negligible relationship
 R square - .01
 GDP p/capita = -.542 – strong negative
relationship
 R square – .29
Regression Analysis
Corruption and GDP Growth Rate Regression
Percent GDP grow th = 4.54 + 0.01 * regulation
R-Square = 0.01
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Percent GDP growth
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How Easy is it to Start a Business
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Regression Analysis
How Equally is Income Distribu ted (100 = perfect inequality)
Corruption and GDP Growth Rate Regression
How Equally is Incom e Distributed (100 = perfect inequality) = 33.91 + 0.08 * regulation
R-Square = 0.12
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Regression Analysis
What is the GDP Per Capita ($ at PPP)
Corruption and GDP Growth Rate Regression
What is the GDP Per Capita ($ at PPP) = 20545.35 + -116.31 * regulation
R-Square = 0.29
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How Easy is it to Start a Business

Interpreting Data
 Same conclusion as corruption
 Major factor in wealth creation but not a
definitive factor in development
 Moderate positive relationship with Gini,
that is significant
 As countries level of corruption and
business regulation decrease the level of
wealth will increase
Final Conclusions
 No evidence that either regime type is
better at promoting economic
development
 Regime type not relatively important as a
factor
 Democracies with low levels of corruption
and business regulations will tend to be
wealthy
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