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Study of the self-and all the rest society
Economic Insight
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Smithian growth model from Michael Joffe Fig. 3.7 p57 Ch3 Feedback Economics Book
Adam Smith's Growth through Division of labour
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Implementation of a DSGE Model solved in a Macroeconomics class by Harald Uhlig (link), using Rational Expectations, in this case, the Hansens Real Business Cycle Model.
It shows the capacity of implementing Dynamic Stochastic General Equilibrium Model Analysis using System Dynamics.
Real Business Cycle Model (DSGE)
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This model shows the operation of a simple economy with two modifications made to Model 2 -- 1) feedback from production rate to consumption rate and 2) the use of a fractional rate input for calculating consumption rate. 

In summary, lower fractional rates of consumption (based on production) result in higher levels of Savings.
Simple Economy: Model 3
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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. 

Try cloning this insight, setting the parameter values for real-world scenarios, and then running sensitivity analysis (see tools) to determine the likely wealth outcomes. Compare buying a home to renting. Note that each run will keep the parameters the same while simulating market volatility.

version 2.0
Home buying simulation 2.0
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Insight Stage 4 Dress Rehearsal Economy and Fossil Fuels
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A simple implementation of a Dynamic ISLM model as proposed by Blanchard (1981), and taken from An introduction to economic Dynamics - Shone (1997) - chapter 5. This model might serve as a framework to evaluate economic policies over GDP growth.
Dynamic ISLM Model
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This model shows the operation of a simple economy. It demonstrates the effect of changes in the fractional rate of consumption (or the converse, the fractional rate of saving.) It also, unlike Models 2 & 3, shows the influence Savings has on the production rate.

In summary, lower rates of consumption (based on production) result in higher rates of both production and consumption in the long-run.
Simple Economy: Model 4
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Book Summary of The Great Transformation by Karl Polanyi see Wikipedia . See also more Karl Polanyi ideas IM-181325
The Great Transformation
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This Model was developed from the SEIR Model (Susceptible, Exposed, Infected, Recovered) and it predicts the COVID-19 outbreak in Burnie, Tasmania. This pandemic outbreak contributes to diverse rates including infection rate, death rates and recovery rate, government policies and its economic impacts.    

Assumptions:

 This model is driven by its determined rates, e.g., incubation rate, morality rate, test rate and immunity loss rate and its recovery rate.

Government policies are involved in fully vaccination rate, social distance, national border closure, travel, and business restriction which effect Burnie’s economy.

There are three economic entities dimensions in Burnie Island, we can tell that the pandemic has negative impact on Brick-and-Mortar enterprises and tourism business to some extent, whereas, e commercial business plays a crucial role to stimulate the regional economic activities during the COVID-19 period.

 

Interesting Insights:

 The figure of susceptible changes significantly during the initial 3 weeks because of low recovery rate and high infection rate. On the other hand, the implementation and interventions of government policies is effective, because the number of patients who tested negative is increased and the majority of them release and go back home after medical follow-up. 

Xueli Huang 501514, BMA708 Model of COVID-19 Outbreak in Burnie, Tasmania
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Q2 Final Project w/ socio-economic
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Explanation:
Explanation:
This model presents the COVID-19 outbreak in Burnie and how the government reacts to it. Moreover, the model also illustrates how the economy in Burnie is impacted by the pandemic. The possible stages of residents when the infectious disease spreads in Burnie can be concluded as Susceptible, Infection and Recovery, which are used as the main data in this model. However, the improvement of decreasing of reported infection rates of this infectious disease and increasing of recovery rates are contributed by the implementation of the Government Health Policy. 

Assumption
The decrease of both infection rate and economic growth are all influenced by the Government Health Policy simultaneously. The Government Health Policy is only triggered when there are 10 cases reported. However, the increase in reporting COVID-19 cases affects economic growth negatively. 

Interesting Insights:
There are two interesting insights that have been revealed from the simulation. First, the death rate continuously increased even though the infection rate goes down. However, the increase in testing rates contributed to the stability of the death rate towards the end of the week. Moreover, higher testing rates also trigger faster government intervention, which can reduce infectious cases.  Second, as the Government Health Policy limited the chance of going out and shopping, the economic growth is negative due to the higher cases. 

BMA708, Assessment 3: Complex system, Burnie Covid-19 outbreak
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A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy.  Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover

Assumptions
Govt policy reduces infection and economic growth in the same way.

Govt policy is trigger when reported COVID-19 case are 10 or less.

A greater number of COVID-19 cases has a negative effect on the economy.  This is due to economic signalling that all is not well.

Interesting insights

Higher testing rates trigger more rapid government intervention, which reduces infectious cases.  The impact on the economy, though, of higher detected cases is negative. 




Burnie COVID-19 outbreak demo model version 2
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This model demonstrate how the exisitng tested COVID cases effects economic recovery via goverment intervenes.
Assumption:Goverment intervenes positively contribute on transmission, patients recovery, and death elimination. When existing cases equal or lower than 10 cases, economic growth will be soaring with helps of influencial elements.
Interesting points: even though there are certain amount of unknow cases, enhancing social restriction and increasing test rate ould still reduce amount of cases
Complex Model to Simulate How COVID Outbreak Influence Economic Recovery in Burnie
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A causal loop diagram illustrating solutions for the homelessness problem
Homelessness Model
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A single resource is used​ with a constant rate and converted into products in use. After a while, these products become unusable because of aging. The recycling of these unusable products is imperfect, thus the amount of not recyclable resource grows (until a better recycling process is invented).
Resource 1
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Multiscale view of Combined PH and Economic Views IM 70763  in preparation for integrating with Prevention Investment Framework (private) IM
Multiscale Zoomable Prevention Model View
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The recent moratorium on deep-sea drilling will reduce the supply of oil. But the world-wide trend is an ever increasing demand for it. This simple CLD  tries to illustrate the dampening effect on demand and on economic activity of diminishing oil supplies and of rising prices: oil prices  affect virtually all products and especially agricultural production. As it becomes more and more difficult to extract oil, prices must rise. At the moment the global recession counteracts this effect, but the recession will not last forever. Is it too early to speak of Peak Oil?

Economy and Oil
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not a mathematical model. just a general one
impact of globalization
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Sandbox for testing InsightMaker features using pipeline Construction & ROW land conversion as a driver of changes in ecosystem service value.
ESV Test
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Economic contibution
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Marine Tourism Task III - Great Blue Hole
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Economic capital growth in a system constrained by a non-renewable resource, Figure 37 from Thinking in Systems by Donella H. Meadows

Economic Capital Growth - Resource Constrained
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References:

http://hcrs.co/wp-content/uploads/Hay%20Egg%20Loss%20Folder/
Dahlberg%201979%20A%20Review%20of%20Surviva
l%20Rates%20of.pdf

http://www.bbc.com/news/science-environment-36716579

https://adventure.howstuffworks.com/outdoor-activities/fishing/fish-conservation/fish-populations/fishing-quota1.htm

https://healthresearchfunding.org/pros-cons-fish-farming/

http://www.academyforchange.org/wp-content/uploads/2012/08/Fishery-Causal-Loop-Diagram-2011.9.pdf

http://www.dfo-mpo.gc.ca/Library/329545.pdf

http://worldoceanreview.com/en/wor-2/fisheries/illegal-fishing/

http://www.dfo-mpo.gc.ca/stats/commercial/cfs/2012/section4-eng.htm

http://fishcount.org.uk/fish-count-estimates

https://www.worldatlas.com/articles/how-many-fish-are-there-in-the-ocean.html

http://www.umich.edu/~csfound/545/1998/narayans/chap07.htm

https://www.tandfonline.com/doi/abs/10.1080/09669580802276000

http://www.dfo-mpo.gc.ca/oceans/mpa-zpm/index-eng.html

https://www.newstatesman.com/politics/2015/07/selling-sea-how-our-fish-lost-their-freedom-market-forces

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