This paper aims at describing a case where system dynamics modeling was used to evaluate the effects of information and material supply lead-time variation on sales contributions margins and operating cash conversion cycle of a commodity export business.  An empirical dynamic model, loaded with econometric theory of price effect on competitive demand, was used to describe the input data.  The model simulation outputs proved themselves relevant in analyzing the complex interconnections of multiple variables affecting  the profitability in a commercial routine, supporting the decision process among sales managers.

This model illustrates the current practice and consequences of government spending. Following the direction of the arrows from right to left the model shows the following sequence based on current practice:

Government Spending at a certain point leads to spending in excess of tax receipts. This will automatically lead to the issue of treasuries in the belief that the excess spending must be financed by borrowing (although the government has the capacity to create  money). This in turn will increase the national debt.

 Consequences that follow from this practice:

1) That national debt increases whenever the government spends in excess of tax receipts.

2) That the government must pay interest on the debt issued, which in turn increases and reinforces the need for government spending.

3) That the interest paid on treasuries will increase private sector income.

There is an alternative view, supported by Modern Monetary Theory, of how government spending can proceed. Please see this  Insight: 

https://insightmaker.com/insight/19954

An initial study of the economics of single use coffee pods.

Economic capital growth model, Figure 27 from Thinking in Systems by Donella H. Meadows

This model simulates the economics of buying a home. It was created to compare buying a home against using investment returns to pay for rent. According to Micheal Finke, house prices typically run 20x monthly rental rates. 

This model is designed for the local government of Burnie, Tasmania, aiming to help with balancing COIVD-19 and economic impacts during a possible outbreak. 

The model has been developed based upon the SIR model (Susceptible, Infected, Recovered) model used in epidemiology. 

It lists several possible actions that can be taken by the government during a COVID-19 outbreak and provide the economic impact simulation. 

The model allow users to Change the government policies factors (Strength of Policies) and simulate the total economic impact.

Interestingly, the government plicies largely help with controlling the COVID outbreak. However, the stronger the policies are, the larger impact on local economy

A Model for COVID-19 outbreak

An initial study of the economics of single use coffee pods.

This model simulates the economics of buying a home. It was created to compare buying a home against using investment returns to pay for rent.

This model compares direct exchange prices to money prices. It demonstrates the distortion that monetary expansion or contraction has on the information contained in monetary pricing.

Part 2 of Lab 1

[The Model of COVID-19 Pandemic Outbreak in Burnie, TAS]

Simple model of the global economy, the global carbon cycle, and planetary energy balance.

Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773

Scott Page's Aggregation diagram from Complexity and Sociology 2015 article see also IM-9115 and SA IM-1163

Goodwin cycle IM-2010 with debt and taxes added, modified from Steve Keen's illustration of Hyman Minsky's Financial Instability Hypothesis "stability begets instability". This can be extended by adding the Ponzi effect of borrowing for speculative investment.

This model is based off Meadows economic capital with reinforcing growth loop constrained by a renewable resource model.

Simulating Hyperinflation for 3650 days.

If private bond holdings are going down and the government is running a big deficit then the central bank has to monetize bonds equal to the deficit plus the decrease in private bond holdings.  We don't show the details of the central bank buying bonds here, just the net results.

See blog at http://howfiatdies.blogspot.com for more on hyperinflation, including a hyperinflation FAQ.

One of the Archetypes that I see is the way out. The Pioneer Seeds bought will directly keep affecting DuPont's Profit until they start buying Ghanaian corn seeds. My Behavior over Time graphs keep disappearing so, I will just explain them instead. DuPont's Profit will keep going up because so many people like buying the pioneer seeds. Soil Erosion will also go up because there will be more plants growing. Farmers profit will go down because more and more farmers are buying the Pioneer seeds. Affordability of Pioneer Seeds is also going down because of there popularity. The amount of GMO labels is also going down because DuPont feels like it will risk there business. The amount of Pioneer Seeds bought is going up because more and more people keep buying them. The amount of Farming Jobs are going up because more and more people think they will get profit in this business and then it starts to stabilize and goes down a little because they realize farming isn't that good. The amount of Pioneer Seeds is affecting how big the harvest is so, the Harvest is going up. The Amount of Ghanaian Seeds bought is going down because there are more and more Pioneer seeds being bought. Dependency on DuPont is increasing because they need there Pioneer Seeds.