Troy Thompson
Gentry
- Joined
- May 21, 2019
- Messages
- 64
- City
- Floodwood
- Country
- United States
One of the most common arguments against monarchic forms of government is that they promote inequality. I was curious as to what actual, like, data might say as to this subject, so I decided to divide the nations of the world into a number of data sets to compare monarchies and non-monarchies with respect to two measures of inequality, namely the Coefficient of Human Inequality (which is a wide-based measure that attempts to take account of not only income/wealth inequality, but also inequality in education and health) and the Gini Coefficient (which focuses primarily on income/wealth inequality). I also figured that it might be worthwhile to look at corruption data, seeing as corruption can be intimately related to inequality (as it can both cause and be caused by it).
It should be noted that none of the data sets in application contain all of the countries that I've assigned to the respective data sets in principle, and there is some inconsistency between the different measures, and in some cases the number of states included in each data set might be insufficient to create a reliably representative statistic.
The CHI and Gini data I've used is taken from the United Nations, while the measure of corruption I've used is taken from Transparency International's Corruption Perceptions Index data. In order to create a comparison, I calculated the mean for each set from the data presented. For the CHI and Gini data, lower coefficients mean less inequality. For the CPI data, higher indices mean less corruption (100 being absolutely no corruption, 0 being the most corruption that could theoretically be possible).
Coefficient of Human Inequality
It should be noted that none of the data sets in application contain all of the countries that I've assigned to the respective data sets in principle, and there is some inconsistency between the different measures, and in some cases the number of states included in each data set might be insufficient to create a reliably representative statistic.
The CHI and Gini data I've used is taken from the United Nations, while the measure of corruption I've used is taken from Transparency International's Corruption Perceptions Index data. In order to create a comparison, I calculated the mean for each set from the data presented. For the CHI and Gini data, lower coefficients mean less inequality. For the CPI data, higher indices mean less corruption (100 being absolutely no corruption, 0 being the most corruption that could theoretically be possible).
Coefficient of Human Inequality
- Monarchies, Generally (22): 13.9
- Non-Monarchies, Generally (130): 20.6
- Constitutional Monarchies (21): 13.2
- Constitutional Republics (126): 20.4
- Absolute Monarchies (1): 29.4
- One-Party States (3): 22.7
- Transitional States (1): 30.9
- G20 Monarchies (4): 7.1
- G20 Non-Monarchies (14): 16.4
- EU Monarchies (8): 9.1
- EU Non-Monarchies (21): 9.0
- Arab League Monarchies (1): 16.0
- Arab League Non-Monarchies (10): 28.2
- ASEAN Monarchies (2): 17.4
- ASEAN Non-Monarchies (6): 20.0
- Monarchies, Generally (22): 36.5
- Non-Monarchies, Generally (132): 38.5
- Constitutional Monarchies (21): 35.7
- Constitutional Republics (128): 38.5
- Absolute Monarchies (1): 51.5
- One-Party States (3): 37.8
- Transitional States (1): 36.7
- G20 Monarchies (4): 33.5
- G20 Non-Monarchies (14): 40.6
- EU Monarchies (7): 30.7
- EU Non-Monarchies (22): 31.3
- Arab League Monarchies (2): 37.2
- Arab League Non-Monarchies (11): 35.0
- ASEAN Monarchies (2): 42.1
- ASEAN Non-Monarchies (5): 37.8
- Monarchies, Generally (34): 60
- Non-Monarchies, Generally (142): 39
- Constitutional Monarchies (30): 61
- Constitutional Republics (134): 40
- Absolute Monarchies (4): 57
- One-Party States (6): 31
- Transitional States (2): 16
- G20 Monarchies (5): 72
- G20 Non-Monarchies (14): 48
- EU Monarchies (7): 78
- EU Non-Monarchies (22): 61
- Arab League Monarchies (8): 50
- Arab League Non-Monarchies (13): 24
- ASEAN Monarchies (4): 42
- ASEAN Non-Monarchies (6): 42