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Modernization: Theories and Facts
Published online by Cambridge University Press: 13 June 2011
Abstract
What makes political regimes rise, endure, and fall? The main question is whether the observed close relation between levels of economic development and the incidence of democratic regimes is due to democracies being more likely to emerge or only more likely to survive in the more developed countries. We answer this question using data concerning 135 countries that existed at any time between 1950 and 1990. We find that the level of economic development does not affect the probability of transitions to democracy but that affluence does make democratic regimes more stable. The relation between affluence and democratic stability is monotonic, and the breakdown of democracies at middle levels of development is a phenomenon peculiar to the Southern Cone of Latin America. These patterns also appear to have been true of the earlier period, but dictatorships are more likely to survive in wealthy countries that became independent only after 1950. We conclude that modernization need not generate democracy but democracies survive in countries that are modern.
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References
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11 Readers used to the UN or the World Bank GNPfiguresshould be aware that counting incomes at purchasing-power parities tends to increase significantly the levels for poor countries and to decrease slightly the numbers for rich countries. It may be useful for future reference to know what different numbers describe: by 1990, Nigeria had a per capita income of $995, Indonesia had $1,973, Czechoslovakia $4,094, Spain $9,576, and the United States $18,073.
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15 The claim about the prewar period is based on rather heroic backward extrapolation of 1950 incomes, but the levels at which democracies fell in Europe were an order of magnitude lower: we guess it to have been $1,825 in Austria in 1934, $1,974 in Finland in 1930, $1,474 in Germany in 1933, and $1,814 in Italy in 1922.
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37 Suppose that the function which relates regimes to level is Pr[REGIME(t)=DEMOCRACY]=REG(t)=F[α+βLEVEL(t)], where F stands for a normal or logistic distribution. Now subtract and add βLEVEL(0) within the square brackets, to get REG(t)=F(α+βLEVEL(0)+ β[LEVEL(t)-LEVEL(0)]}. Defining LEVEL(0) as INI and LEVEL(t)-LEVEL(0) as DEV(t), and allowing the (cross-sectional) effect of the initial level to differ from the (dynamic) effect of development yields REG(t)= F[α+βc INI+βDDEV(t)].This is the model we estimated, by dynamic probit.
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