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Base_economics
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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.

SDR Case study System dynamic modelling
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Launch page for Macroeconomics Textbook 2019 by Mitchell, Wray and Watts. There is also a book companion site
Macroeconomics Textbook Overview
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AKL Ouput Model
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Stage 5
Stage 5
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To compete with cheap price and convenience,
Community Economy must provide the distinct merits; human connection, belief in person, unique quality enable citizens willing to pay for fair price.
Community Values Change the Spending Choice of Citizens for Economic Equity
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Very basic stock-flow diagram of simple interest with table and graph output in interest, bank account and savings development per year. Initial deposit, interest rate, yearly deposit and withdrawal, and initial balance bank account can all be modified. 
I have developed a lesson plan in which students work on both simple and compound interest across both IM and Excel. I also wrote an article about this in Dutch, which you can translate using for example Google Translate: https://kdrive.infomaniak.com/app/share/1524656/93e2021a-6fc1-4b2c-8bcd-643a607526db

Also have a look at some of my other diagrams, for example: https://insightmaker.com/insight/6hPaqcl0YETrQcWKYkXeu2
Stock-Flow diagram of savings account - simple interest
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Verano, Mary Ann (Economic Data)
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This is a reconstruction of the SIMM model presented in Chapter 2 of Feedback Economics (Contemporary Systems Thinking)

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Clone of Simple Macroeconomic Model (SIMM) (SFD)
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Population densities: https://upload.wikimedia.org/wikipedia/commons/4/49/World_population_density_1994_-_with_equator.png
Adding employment
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Clone of Pesticide Use in Central America for Lab work


This model is an attempt to simulate what is commonly referred to as the “pesticide treadmill” in agriculture and how it played out in the cotton industry in Central America after the Second World War until around the 1990s.

The cotton industry expanded dramatically in Central America after WW2, increasing from 20,000 hectares to 463,000 in the late 1970s. This expansion was accompanied by a huge increase in industrial pesticide application which would eventually become the downfall of the industry.

The primary pest for cotton production, bol weevil, became increasingly resistant to chemical pesticides as they were applied each year. The application of pesticides also caused new pests to appear, such as leafworms, cotton aphids and whitefly, which in turn further fuelled increased application of pesticides. 

The treadmill resulted in massive increases in pesticide applications: in the early years they were only applied a few times per season, but this application rose to up to 40 applications per season by the 1970s; accounting for over 50% of the costs of production in some regions. 

The skyrocketing costs associated with increasing pesticide use were one of the key factors that led to the dramatic decline of the cotton industry in Central America: decreasing from its peak in the 1970s to less than 100,000 hectares in the 1990s. “In its wake, economic ruin and environmental devastation were left” as once thriving towns became ghost towns, and once fertile soils were wasted, eroded and abandoned (Lappe, 1998). 

Sources: Douglas L. Murray (1994), Cultivating Crisis: The Human Cost of Pesticides in Latin America, pp35-41; Francis Moore Lappe et al (1998), World Hunger: 12 Myths, 2nd Edition, pp54-55.

Clone of REM 221 - Causal Loop diagramming
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A framework exploring flood risk management in a developing city, under the old paradigm of control - characterised by narrowly defined goals and an over-reliance on hard-engineered structural solutions.
Urban flood risk (control paradigm)
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Lakon_Energy Economics Fossil Fuel
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Final Project Socio-Economic Model
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This Model was developed from the SEIR model (Susceptible, Enposed, Infected, Recovered). It was designed to explore relationships between the government policies regarding the COVID-19 and its impact upon the economy as well as well-being of residents. 

Assumptions:

Government policies will be triggered when reported COVID-19 case are 10 or less;


Government Policies affect the economy and the COV-19 infection negatively at the same time;


Government Policies can be divided as 4 categories, which are Social Distancing, Business Restrictions, Lock Down, Travel Ban, and Hygiene Level, and they represented strength of different aspects;

 

Parameters:

Policies like Social Distancing, Business Restrictions, Lock Down, Travel Ban all have different weights and caps, and they add up to 1 in total;

 

There are 4 cases on March 9th; 

Ro= 5.7  Ro is the reproduction number, here it means one person with COVID-19 can potentially transmit the coronavirus to 5 to 6 people;


Interesting Insights:

Economy will grow at the beginning few weeks then becoming stagnant for a very long time;

Exposed people are significant, which requires early policies intervention such as social distancing.

Model of COVID-19 Outbreak in Burnie, Tasmania
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This is a reconstruction of the SIMM model presented in Chapter 2 of Feedback Economics (Contemporary Systems Thinking)

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Simple Macroeconomic Model (SIMM) (CLD)
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Difficulties with formulae and links
Problems with formulae and links
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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.

Minsky Financial Instability Model
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F317606 - Part2 Coursework of Airport Casual Loop Diagram
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The World Socio-Economics model is computer model to simulate the consequence of interactions between the earth and human systems based on the World3 model by the work of Club of Rome, The Limits to Growth[1].

The World3 model builds by system dynamics theory that is has an approach to understanding the nonlinear behaviour of complex systems over time using stocks, flows, feedback loops, table functions and time delays.

The Limits to Growth concludes that, without substantial changes in resource consumption, "the most probable result will be a rather sudden and uncontrollable decline in both population and industrial capacity". 

Since the World3 model was originally created, it has had minor tweaks to get to the World3-91 model used in the book Beyond the Limits[2], later improved to get the World3-03 model used in the book Limits to Growth: the 30 year update[3].

References;
[1] Meadows, Donella H., Meadows, Dennis L., Randers, Jørgen., Behrens III, William W (1972). The Limits to Growth. 

[2] Meadows, Donella H., Dennis L. Meadows, Randers, Jørgen., (1992). Beyond the limits: global collapse or a sustainable future.

[3] Meadows, Dennis., Randers, Jørgen., (2004). The limits to growth: the 30-year update.
World Socio-Economics model 2000-2100
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From Walrave ISDC2014 paper Counteracting the success trap in publically owned corporations. Similar to the ordinary (efficiency focussed) and dynamic capabilities (explore) insight described by David Teece
See also evolution and brain control insight
Explore or Exploit
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clone economics price product
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Explanation of the Model

This is a sample model of Covid-19 outbreak in Burnie, Tasmania showing how the Government responds by implementing relevant health policy and the effects on the Economy of the area. 
 
Assumptions

Economic growth rate is dependent on the proportion of the population who can be exposed. Number of COVID cases negatively impacts the economy. Govt policy is triggered when COVID-19 cases are 10 or more.

Interesting Insights

1) Exposure to the disease has a positive relationship with economic growth rate because the more people goes out, more business activity takes place, resulting in Economic Growth.

2) Increasing the Testing rate results in:

- Higher cases being detected

- Stricter Govt Policy

- Less Deaths


 


Covid-19 outbreak in Burnie Tasmania
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Socio-economic Cycle - Final Porjecy