3D Political Map

3D Political Map is potential methodology for quantitative comparison of different sociopolitical models. The assumption is that there are three aspects of such a model that provide complete, with minimal redundancy and minimal ideological bias, specification of every political model.

  • Economy as a system of knowledge, skills and practices concerning distribution and redistribution of resources within community or society.
  • Ecology as a system of knowledge, skills and practices concerning circulation of matter and energy between a community and its surrounding natural environment (including humans).
  • Governance as a system of knowledge, skills and practices concerning decision-making process.

One of the reasons to develop new methodology is complete obsolescence of existing 1- and 2- dimensional classifications, full of unsolicited aggregation of parameters. They are unable to grasp diversity of concepts people try to explore. In the age of disruption, when old models are clearly inadequate, we need to be able to identify new avenues of political development — whether we like any particular one, or not.

Thus, my initial proposal is to apply quantitative rather than qualitative approach, using following parameters:

For economy: Reverse Gini coefficient of income.

Gini coefficient shows the level of concentration of resources within the population. While absolute levels of wealth very much depend on external conditions, the way it is shared among community members is direct effect of political paradigm the community follows.

Originally, Gini coefficient was intended to measure inequality. My proposal, which is grounded in my belief that equality is better than inequality, assumes “reverse” coefficient, with formula G’ = 1-G (where G = Gini coefficient for given population).

There is also room for more sophisticated approach, which may go beyond nominal wealth/income and take as an input the level of material needs fulfilled in the population.

For ecology: environmental sustainability index (To Be Determined)

This is the part of methodology that is the least defined as I write this text (January 2019). We will need to measure general balance of resources (including humans) between community and its immediate environment. We need to know how community manages resources in their disposal, especially regarding regeneration. We also need to know its waste balance.

For governance: direct influence index (To Be Elaborated).

Again, here we will measure concentration vs. equality. The measure will be a percentage of population, having direct influence on decisions concerning them. It should be measured in the most technical way possible, without paying attention to ideology.

This is just the beginning of the process. Please share your thoughts and opinions in comments below. Everyone is invited to contribute.

 

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