Interstate Politics (IP): Difference between revisions

From Pardee Wiki
Jump to navigation Jump to search
(Created page with "The most recent and complete interstate politics model documentation is available on Pardee's [http://pardee.du.edu/ifs-interstate-politics-model-documentation website]. Altho...")
 
No edit summary
Line 1: Line 1:
The most recent and complete interstate politics model documentation is available on Pardee's [http://pardee.du.edu/ifs-interstate-politics-model-documentation website]. Although the text in this interactive system is, for some IFs models, often significantly out of date, you may still find the basic description useful to you.
The most recent and complete interstate politics model documentation is available on Pardee's [http://pardee.du.edu/ifs-interstate-politics-model-documentation website]. Although the text in this interactive system is, for some IFs models, often significantly out of date, you may still find the basic description useful to you.


The interstate politics module traces changes in power balances across states and regions, allows exploration of changes in the level of interstate threat, and represents possible action-reaction processes and arms races with associated potential for conflict among countries. For more on how this data may used and analyzed within IFs, please read below.
The interstate politics module traces changes in power balances across states and regions, allows exploration of changes in the level of interstate threat, and represents possible action-reaction processes and arms races with associated potential for conflict among countries. For more on how this data may used and analyzed within IFs, please read below.  
<header><hgroup>
 
== Structure and Agent System: Interstate Interaction ==
== Structure and Agent System: Interstate Interaction ==
</hgroup></header>
 
{| class="tableGrid" style="width: 100%" cellspacing="0" cellpadding="5" border="0"
{| class="tableGrid" style="width: 100%" cellspacing="0" cellpadding="5" border="0"
|-
|-
Line 28: Line 28:
As with the domestic socio-political environment, and unlike the use of cohort-component structures in demographics and of markets and social accounting matrices for economics, there is no completely standard organizing structure that is widely used for representing interstate/international systems. Yet the representation of power-based interaction systems, including interactions related to relative power and to action-reaction dynamics, is common. IFs builds significantly on that conceptual and theoretical base.
As with the domestic socio-political environment, and unlike the use of cohort-component structures in demographics and of markets and social accounting matrices for economics, there is no completely standard organizing structure that is widely used for representing interstate/international systems. Yet the representation of power-based interaction systems, including interactions related to relative power and to action-reaction dynamics, is common. IFs builds significantly on that conceptual and theoretical base.


Among the most important understandings of students of interstate/international interaction is that conflict and cooperation are not really opposites in relationships. Although the balance of conflict and cooperation will vary within and across relationships, Intensity of interaction often brings both.
Among the most important understandings of students of interstate/international interaction is that conflict and cooperation are not really opposites in relationships. Although the balance of conflict and cooperation will vary within and across relationships, Intensity of interaction often brings both.  
<header><hgroup>
 
== Dominant Relations: Interstate Politics ==
== Dominant Relations: Interstate Politics ==
</hgroup></header>
 
=== Interstate Politics: Dominant Relations ===
=== Interstate Politics: Dominant Relations ===


Line 50: Line 50:


== Interstate Politics Flow Charts ==
== Interstate Politics Flow Charts ==
== Power ==
IFs computes a power indicator that shows each actor’s portion of global power. It does so by weighting (wpwghtpow) each actor’s share of global GDP (at exchange rates or purchasing power parity), population, a measure of technological sophistication (with GDP per capita as a proxy), government size, military spending, conventional power, and nuclear power. Weights of one "1" add the term to the power calculation, and weihts of 0 remove the term from power calculation.
[[File:IP1.gif|border|center]] Conventional and nuclear power have their own dynamics, dependent primarily on military spending. Parameters direct a share of that into nuclear power and determine the translation of spending into actual conventional power, with an assumption that Less Developed Countries can leverage spending into more power because of lower wages and other costs. Given country/regional conventional and nuclear power, it is possible to compute world conventional and nuclear power (CPOW, NPOW).
<header><hgroup>
<header><hgroup>
== Power ==
== Threat Level ==
</hgroup></header>
</hgroup></header>
IFs computes a power indicator that shows each actor’s portion of global power. It does so by weighting (wpwghtpow) each actor’s share of global GDP (at exchange rates or purchasing power parity), population, a measure of technological sophistication (with GDP per capita as a proxy), government size, military spending, conventional power, and nuclear power. Weights of one "1" add the term to the power calculation, and weihts of 0 remove the term from power calculation.
The threat that any state poses to another (and which may lead to conflict, war, or nothing) is affected by many factors. IFs conceptualizes of threat in concrete terms, namely the probability of what is called a militarized international dispute (MID).
 
IFs approaches calculation of that threat from two directions. The first is through the use of data on historic threat levels by dyad. The second is solely through the evolution of key factors that have been shown to give rise to disputes. The user can control whether the model should rely primarily upon historic patterns or primarily upon predicted ones with a convergence parameter (wpthrconv).
 
Regardless of the basic approach (data-based or predictive), the evolution of threat over time depends upon a variety of underlying factors. IFs groups these roughly into two categories: power and nonpower terms, explained in detail elsewhere. It should be noted, however, that three factors seem to carry special weight in determining the threat of disputes: contiguity, whether or not countries are great powers, and the existence or absence of territorial disputes between countries.

Revision as of 05:24, 6 February 2017

The most recent and complete interstate politics model documentation is available on Pardee's website. Although the text in this interactive system is, for some IFs models, often significantly out of date, you may still find the basic description useful to you.

The interstate politics module traces changes in power balances across states and regions, allows exploration of changes in the level of interstate threat, and represents possible action-reaction processes and arms races with associated potential for conflict among countries. For more on how this data may used and analyzed within IFs, please read below.

Structure and Agent System: Interstate Interaction

System/Subsystem
Interstate interaction
Organizing Structure
Cooperation and conflict
Stocks
Power, threat levels
Flows
Aid flows
Key Aggregate  Relationships 
(illustrative, not comprehensive)
Changes in power, relative power, threat, action-reaction
Key Agent-Class Behavior  Relationships
(illustrative, not comprehensive)
Spending on military, aid
 
Alliances
 
War

As with the domestic socio-political environment, and unlike the use of cohort-component structures in demographics and of markets and social accounting matrices for economics, there is no completely standard organizing structure that is widely used for representing interstate/international systems. Yet the representation of power-based interaction systems, including interactions related to relative power and to action-reaction dynamics, is common. IFs builds significantly on that conceptual and theoretical base.

Among the most important understandings of students of interstate/international interaction is that conflict and cooperation are not really opposites in relationships. Although the balance of conflict and cooperation will vary within and across relationships, Intensity of interaction often brings both.

Dominant Relations: Interstate Politics

Interstate Politics: Dominant Relations

Threat of states towards each other is a function of many determinants. For instance, contiguity or physical proximity creates contact and therefore the potential for both threat and peaceful interaction. Cultural similarities and differences affect threat levels. Yet certain factors are more subject to rapid change over time than are contiguity or culture. Among factors that change, the relative power of states and of their level of democratization substantially affect threat levels.

For a causal diagram see Process: Power and Process: Threat Level.

For equations see IP Equations: Power and IP Equations: Threat Formulation.

Key dynamics are directly linked to the dominant relations:

  • Power is a function of population, GDP, technology, and conventional and nuclear military expenditures, in an aggregation with weights that the user can change (wpwghtpow).
  • Democratization is computed in the domestic socio-political model.

Interstate Politics: Selected Added Value

The larger interstate politics model provides representation and control over a changing index of the probability of war, based on threat levels. It is possible stochastically to introduce war based on that probability and to feed back the destruction of war to population levels and economic capital.

Interstate Politics Flow Charts

Power

IFs computes a power indicator that shows each actor’s portion of global power. It does so by weighting (wpwghtpow) each actor’s share of global GDP (at exchange rates or purchasing power parity), population, a measure of technological sophistication (with GDP per capita as a proxy), government size, military spending, conventional power, and nuclear power. Weights of one "1" add the term to the power calculation, and weihts of 0 remove the term from power calculation.

IP1.gif

Conventional and nuclear power have their own dynamics, dependent primarily on military spending. Parameters direct a share of that into nuclear power and determine the translation of spending into actual conventional power, with an assumption that Less Developed Countries can leverage spending into more power because of lower wages and other costs. Given country/regional conventional and nuclear power, it is possible to compute world conventional and nuclear power (CPOW, NPOW).

<header><hgroup>

Threat Level

</hgroup></header> The threat that any state poses to another (and which may lead to conflict, war, or nothing) is affected by many factors. IFs conceptualizes of threat in concrete terms, namely the probability of what is called a militarized international dispute (MID).

IFs approaches calculation of that threat from two directions. The first is through the use of data on historic threat levels by dyad. The second is solely through the evolution of key factors that have been shown to give rise to disputes. The user can control whether the model should rely primarily upon historic patterns or primarily upon predicted ones with a convergence parameter (wpthrconv).

Regardless of the basic approach (data-based or predictive), the evolution of threat over time depends upon a variety of underlying factors. IFs groups these roughly into two categories: power and nonpower terms, explained in detail elsewhere. It should be noted, however, that three factors seem to carry special weight in determining the threat of disputes: contiguity, whether or not countries are great powers, and the existence or absence of territorial disputes between countries.