(Statistician General’s warning: no significance tests or confidence intervals were harmed in the writing of this post. Appropriate model assumptions not guaranteed. Do not use without consulting a trained and licensed statistician.)
I haven’t done one of these posts on the history of political regimes in a while, but I am preparing something for a class on the topic of the relationship between political regimes and economic development, and figured it’s a nice addition to the series. Besides, it is always a good time to put up pretty graphs on this blog.
What is the relationship between political regimes and economic development? The basics of this relationship in the post-WWII era seem pretty well understood: basically, the richer the country, the more likely it is to be “democratic” (in the sense I’ve discussed here and here, where democracy is conceived as a system of normatively regulated competition for control of states including the usual paraphernalia of elections, freedoms of speech and assembly, etc.), though the reasons for why this is the case remain disputed, and there are obvious and significant exceptions to this pattern. Conversely, the academic literature suggests that democratic regimes have a slight and indirect long-term development advantage, though the evidence for this claim is much more controversial, and there is no consensus on how this particular advantage operates, if it exists at all (for a meta-analysis of studies on this topic, see here).
Here I want to look at how the relationship between development and democracy has changed over the past 60 years. For our purposes in this post I am going to use the Unified Democracy Scores developed by Pemstein, Meserve, and Melton. These scores basically aggregate the information contained in nine other democracy scores – Polity IV, DD, Freedom House, and six other lesser known indexes – in such a way as to indicate the “uncertainty” associated with particular country ratings. The score for a given country ranges between around -2 and around 2, with higher numbers being “more democratic.” A score of “zero” can be interpreted as a cut-off between more or less “open” regimes and more or less “closed” regimes, though we could also use three breaks, with regimes at one end of the distribution being clearly “dictatorships,” regimes at the other end being clearly “democratic,” and regimes in the middle being “hybrid” regimes of various kinds – competitive authoritarian, tutelary democracies, democratizing monarchies, etc. As an example, here are the scores for the year 2008, split into three quantiles to indicate
these broad regime categories:
Unified Democracy Scores, 2008 |
(The length of each horizontal line is the 95% confidence
interval for the score; in general, small democracies at the top of the scale have
more uncertain ratings, while dictatorships at the bottom of the scale have narrower
confidence intervals, indicating less disagreement about the classification of
dictatorships than about the determination of the level of democracy beyond a certain point). A
three way split works quite well: the countries in red are the more obvious
dictatorships, while the countries in blue are more clearly democratic, and the
countries in green have the sorts of problematic hybrid regimes that are
difficult to classify with certainty as either wholly democratic or wholly
undemocratic.
Using those breaks, here is what the distribution of regimes
looks like since the 1950s:
Distribution of regime types since 1950 |
Fully closed regimes had their peak in the late 70s and
early 80s, but the end of the Cold War pushed many of these to at least hold
elections, as we saw in
this post. But how has this distribution evolved in terms of income per capita?
Consider this plot:
Income per capita per year and regime type |
(GDP data from the Penn
World Table). Each circle shows the median income of the particular regime
type for a given year, where the size of the circle is proportional to the
number of regimes that fall into that category. The lines show a lowess fit for
the overall trend growth of income for each particular regime type. I interpret
the story the graph tells as follows.
The median income of
democratic regimes has been higher than the median income of both hybrid and
fully authoritarian regimes since at least the 1950s, and the gap has in general
widened, not narrowed, even as the number of democratic countries has
increased. (From this graph we cannot tell, however, whether the gap has
widened because democratic countries have grown faster, or because
non-democratic countries that grew fast turned into democracies; from the graphs below, we may infer that it was a mixture of both). The gap was
highest during “peak authoritarianism” in the late 1970s and early 1980s, when most
poor and newly independent countries were either hybrid regimes or
dictatorships, but it stopped growing after the end of the cold war, when a
number of relatively poor countries became democratic.
Interestingly, whereas before the end of the cold war the median hybrid regime was also richer than the median dictatorship, this pattern is reversed after the end of the cold war. Full authoritarianism proved almost impossible to sustain in poor countries without the patronage of the major powers or natural resource wealth; for the most part only relatively rich dictatorships, or dictatorships that retained a special relationship with a major non-democratic country, survived, whereas most poor countries today have some sort of hybrid regime. Thus in 2008, the list of full dictatorships included Saudi Arabia, North Korea, Myanmar (Burma), Qatar, Libya, Swaziland, Uzbekistan, Turkmenistan, Laos, China, Eritrea, Cuba, UAE, Oman, Equatorial Guinea, Sudan, Iran, and Syria. (Not all of these had GDP data in the Penn World Table – North Korea, for example. Note also that some of these regimes have large levels of uncertainty associated with them – the list could very well have included Brunei, for example, instead of Iran; but the basic point does not appear to change if we switch some of these around. I haven’t really checked, since this is only a blog post and checking requires some actual programming, but one could check by drawing new samples of democracy scores from within the distribution Pemstein, Meserve, and Melton generate. That’s the fun thing about the UD scores. It is also worth noting that some of these regimes appear to have survived the end of the cold war only because they had unifying enemies – Eritrea, Cuba, and Iran come to mind; fear can be just as stabilizing as wealth.)
Interestingly, whereas before the end of the cold war the median hybrid regime was also richer than the median dictatorship, this pattern is reversed after the end of the cold war. Full authoritarianism proved almost impossible to sustain in poor countries without the patronage of the major powers or natural resource wealth; for the most part only relatively rich dictatorships, or dictatorships that retained a special relationship with a major non-democratic country, survived, whereas most poor countries today have some sort of hybrid regime. Thus in 2008, the list of full dictatorships included Saudi Arabia, North Korea, Myanmar (Burma), Qatar, Libya, Swaziland, Uzbekistan, Turkmenistan, Laos, China, Eritrea, Cuba, UAE, Oman, Equatorial Guinea, Sudan, Iran, and Syria. (Not all of these had GDP data in the Penn World Table – North Korea, for example. Note also that some of these regimes have large levels of uncertainty associated with them – the list could very well have included Brunei, for example, instead of Iran; but the basic point does not appear to change if we switch some of these around. I haven’t really checked, since this is only a blog post and checking requires some actual programming, but one could check by drawing new samples of democracy scores from within the distribution Pemstein, Meserve, and Melton generate. That’s the fun thing about the UD scores. It is also worth noting that some of these regimes appear to have survived the end of the cold war only because they had unifying enemies – Eritrea, Cuba, and Iran come to mind; fear can be just as stabilizing as wealth.)
What about growth? Is any particular regime type
consistently associated with economic growth? Here’s what it looks like when we
plot the relative growth performance of different regimes in every year since 1950:
Economic growth by regime type per year |
(Click for a larger version). Each circle represents the
median growth rate for the regime type indicated by the color; the size of the
circle is proportional to the number of regimes in that category for that year.
The lines show a lowess fit of the trend growth rate of each regime type; the
shaded areas represent automatically generated 95% confidence intervals. (Many
caveats apply. See warning above). Any year where the blue circle is higher
than the red or green circles is a year where the median democracy did better
than the median hybrid regime or the median dictatorship.
As indicated by the width of the confidence intervals around
the red and green lines, dictatorships and hybrid regimes have had more
variability in economic performance than democracies since at least the 1950s:
more growth “miracles” and “disasters,” often in the very same country. (See this
paper by William Easterly for the actual scholarly version of the
argument). To the extent that we can ignore these confidence intervals and
focus only on the trend performance, democracies have not always done better
than these other regimes. In the early post-war era it seems that dictatorships
did better (though most did about as well as democracies), but then decolonization
came along and the growth performance of dictatorships basically cratered.
Indeed, the 80s, when the so-called “third wave” of democratization began, was
also (not coincidentally perhaps?) the time when the “growth gap” between
democracies and hybrid and dictatorial regimes was at its widest. Ominously,
the last decade has seen a reversal of this pattern, which explains much of the
(not very well thought out) commentary about the rise of the “Chinese model.” (Democracies,
in particular, seem to have been much more strongly affected by the financial
crisis that started in 2008 than either dictatorships or hybrid regimes, though
all regimes appear to have been affected to some extent). Yet we should not
make too much of this; even in the last decade, democracies did basically the
same as the other regimes, judging by the overlap in confidence intervals –
their responses seem not to have been too obviously wrong relative to the
responses of authoritarian countries (many
of which benefitted from high oil prices). And we should remember that the
median per capita GDP of democracies is already much higher than that of
dictatorships or hybrid regimes; if we ought to be worried about anything, it is
about the effects of bad economic performance on hybrid regimes, which could potentially lead to a
reversion to more authoritarian forms of government:
Economic growth by regime type per year |
I have purposely refrained from making any big claims about
a general relationship between regime
type and economic performance. From the evidence above, it seems that there has
not been a great deal of difference between different regimes, except in the
80s. But instead of throwing away information by breaking the democracy scores
into categories, we could try to look at what the relationship between the raw
scores and growth rates looks like in general. Here’s my idea (please tell me
if this doesn’t work; there are probably a million problems with it I haven't thought about). For every year, we estimate a
simple linear model of the form growth = a*democracy_score + b*log(gdp_per_capita) +
c + error. We then plot the coefficient a for each year; when this coefficient is
positive, the more democratic the country, the better its performance for that
year, adjusting for its existing level of economic development, and when the coefficient
is negative, the opposite is true, i.e., the less democratic the country the better its growth performance for
that year (many caveats apply). When we do this, we find that more democratic
countries had a clear growth advantage only between the mid-1970s and the
mid-1990s, and that advantage seems to have been lost in the 1990s, even
reversed:
(An even simpler model, not controlling for the existing
level of economic development, gives a broader democracy advantage, extending
back to the 1960s, but not a radically different picture.) It is worth noting
that these relationships are different in different regions: the “democracy
advantage” calculated using this method has been negative in East Asia, South
Asia, and Western Europe for the period 1950-2008, and zero or positive just
about everywhere else:
Interestingly, Polynesia, East Africa, and Central Asia have had some of the largest “democracy advantages”: the more democratic the regimes have been there, the better their growth performance. Looking at entire continents, the broadest democracy advantage by far is in Africa (and it is positive in all).(Many caveats apply: for example, there isn’t a lot of variability in the democracy score in some of these regions, like in Australia and New Zealand, and the calculated coefficients aren't always significant).
Anyway, more could be said, but it’s late and I need to move
on. Any thoughts on how to further this sort of analysis? All code needed to
replicate these plots is available here;
you will need to download the Unified Democracy Scores
and the Penn World Table separately.
You also need this
file of country and region codes.
[Update, 18 May: fixed a small mistake in the last two plots. Results don't change, though the Polynesian "democracy advantage" is now more pronounced]
[Update 2, shortly after: I take it back. It was fine the first time, though it doesn't make much difference.]
[Update 2, shortly after: I take it back. It was fine the first time, though it doesn't make much difference.]