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

Tourism Simulator

JP Burklow

4

This is to support a discussion on money flows and growth. Money as a lubricant for the flow of embodied energy in human systems.
See also A Prosperous Way Down website

Odum Money and Energy Flows

Geoff McDonnell

This simple model describes wealth accumulation. The value in income is described by the following simple equation:

simple wealth accumulation model 1.1

Larry Lee

20 9 months ago

I made this model to simulate how a companies revenue will change depending on the lifetime of the appliances it manufactures, in combination with the ratio of repair costs and price. It also shows the accumulation of e-waste.

Appliances lifetime simulation with folder

Henny van Dongen

When people talk about a government deficit, they forget that this is only one side of the ledger. On the other is a corresponding non-government SURPLUS. The money the government spends is not lost but shows up in the private sector as income. When one talks only of the deficit then one can understand that many think it should be reduced or even converted into a surplus, but reducing the government deficit reduces private sector income and a government surplus forces a deficit on the private sector with a potentially devastating effect on private sector wealth and economic activity. Unless the economy is overheating, government deficits are usually healthy. For countries that run traditionally a trade deficit, such as the US they are necessary to maintain economic activity. Consider this fact: for almost all of past 40 years the US and the UK have run deficits without any harmful effects!

This video by professor Stephanie Kelton contains evidence that supports the modle.

https://www.youtube.com/watch?v=g6rlprwQB5E

The Dynamic that shows that Government Deficits benefit the Private Sector

Hanns-Jürgen Hodann

WIP Exttension of IM-172005 Simulation of Goodwin01 Minsky Model. Compare with Part3 slide 5 of presentation in patreon

Goodwin02 Minsky Simulation Keen Economic Dynamics Aug2019

Geoff McDonnell

Very simple causal loop diagram of a loan, which can be any loan. However, when the loan is a fixed amount, that needs to be repaid in x periods, you can cross out the 'taking out' arrow from debt to bank account.

Causal loop diagram of a loan

Henny van Dongen

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

Hanns-Jürgen Hodann

3

Ijssel Delta Final

B G

The model is built to demonstrates how Burnie Tasmania can deal with a new COVID-19 outbreaks, taking government policies and economic effects into account.

The susceptible people are the local Burnie residents. If residents were infected, they would either recovered or dead. However, even they do recover, there is a chance that they will get infected again if immunity loss occurs.

From the simulation result we can see that with the implementation of local government policies including travel ban and social distancing, the number of infected people will decrease. The number of recovered people will increase in the first 5 weeks but then experience a decrease.

In addition, with the implementation of local government policy, the economic environment in Burnie will be relatively stable when the number of COVID-19 cases is stable.

How Burnie, Tasmania can deal with a new outbreak of COVID-19

Jie Sun

3

WIP based on Bill mitchell's blogs.

Sectoral balances are relationships among money flows during an accounting period. Where we perceive accumulations of past imbalances to be accrued is another matter....

MMT Fiscal position

Geoff McDonnell

3

• This model examines how sustainable consumerism is from social, economic, and environmental aspects. The question in focus is "How will our second-hand clothing donations affect communities in developing countries, specifically Kenya?"

5 Stock Variables:

• U.S. Consumers

• Multinational Corporations

• Overseas Factories

• Kenya

Highlight Findings:

To sum up, there are 4 major problems associated to donations:

• 1. Source of problem is the consumer: Cheap deals attract hundreds of millions in revenue for fast fashion, and contribute to 100,000 tonnes of clothing to Kenya annually.

• 2. Rapid consumerism leads to over-utilization of slowly-renewable resources, such as water.

• 3. Nearly 96% of textiles jobs are eradicated by the massive inflow of clothing donations to Kenya.

• 4. The offshoring of textiles jobs enrages U.S. blue-collar workers, leading to the rise of protectionism.

Environmental, social, and economic sustainability aspects of textiles donations

Christina Cheung

WIP of Rammelt's 2019 System Dynamics Review Article which has STELLA and Minsky software versions as supplements. Compare with the older IM-2011 version

Simplified Keen Goodwin Minsky Financial Instability model

Geoff McDonnell

3

Storytelling of My Investigating Insight Theme

Ana Cristina Beja

Any activity requires the use of energy. Economic activity is not possible without energy, especially fossil fuels. An increase in economic activity necessarily leads to an increase in the use fossil fuels and greenhouse gas emissions. In addition there will be a commensurate increase in waste products, pollution and heat. This is dictated by the laws of physics and unavoidable. A problem arise when the cost of this degeneration caused by continual economic growth surpasses the benefit society derives from it. The ecological economist Professor Herman Daly (2014) explained that when the impact on the ecosystem is correctly measured, global growth has reached a point where the total private and social costs of economic growth outweigh the private and social benefits. In other words, more economic growth is making global society worse off overall - growth has become uneconomic! The model shows that eventually pressures will build up that counteract the perennial belief that all social ills can be solved with economic growth.

The dynamic of UNECONOMIC growth

Hanns-Jürgen Hodann

Farmers use intensive pesticides to harvest cotton, which is harmful to not only the health of the farmers using them, but also our environment as it pollutes rivers and groundwater that negatively interfere with the ecosystem. Even though these farmers know of the health and environmental risks, they still use harmful pesticides to produce cotton, but why is this so. This stock and flow map should explain what impacts farmers to use pesticides to grow cotton despite the risks and explain the cause and effect relationship their use has on the cotton industry and the environment.

According to Clevo Wilson and Clem Tisdell article, "Why farmer continue to use pesticides despite environmental, health and sustainable costs,"

Pesticide use by farmers:

"used to reduce yield losses to pests"
"avoid economic losses to ensure economical survival"
"increase supply market and reduce market prices"
"ignorance of sustainable use"
"integral part of commercially grow high yielding varieties so without use, high yields may not be sustained"
"damage to agriculture land from the use occurs over long period of time so costs may not look serious short term, but reduces economic welfare in long term"
"environmental damage: pollutes rivers and groundwater, destroys beneficial predators and interferes with ecosystem overall"
"health risks underestimated"
"chemical companies selling it have incentive to push their use by advertising and promotion" (1,9).

Farmer Pesticide Use On Cotton

Neilah

Model introduction

This is an SIR model that simulates the potential COVID outbreak that can happen in Burnie, Tasmania after the positive case reported on October 2nd 2021, which incorporates three parts: Susceptible – Infectious – Recovered Looping model, government’s health policy that will affect each phase of the SIR process, and the potential economy that will affect people’s behaviours and thus influence the effectiveness of government’s public policy.

For instance, the values of variables deciding the inflection rate are influenced by actions taken to control the situation, such as through the quarantine of those infected, social distancing, travel bans, and personal isolation and protection strategies. Conversely, the magnitude of the problem at various points in time will also influence the magnitude of the response to control the situation.

Assumptions

1. The population is assumed to be homogeneous and well-mixed. And there is no significant change on the total population due to births and deaths.

2. Once lockdown is lifted, no further imported cases are assumed to occur.

3. Super spreader events are not explicitly considered.

4. The interaction among states is assumed to be implicit.

5. All confirmed cases would go to quarantine, and 90% of their contacts can be traced.

6. Contact tracing and testing capacity is sufficient.

Insights

Ideally, both one-way scenario analysis and two-way scenario analysis (amount change in one/two variables each time) will be conducted to find out the variable that has the greatest impact on getting new cases. Insights below can be gained:

1.What happens if people are more/less likely to pass on infection, through washing their hands and sneeze into their elbows (infection rate affected by people’s behaviours that will further induced by government’s policies)

2. How vaccination rate will affect the development of positive cases

3. What if the structure of the contact network changes (extent to which school, workplace and restaurants is shut down)

4. How growth rate is sensitive to the duration of illness and probability of infection

SIR - Government - Economy model of COVID19 outbreak in Burnie, Tasmania AU

Ruixin Zhang

A simple budget planning system. What additional complexities can you add?

ISD Savings Plan

Kevin Collins

126

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

Lab 13 (Scenario 1)

Dustin Gaines

Investigations into the relationships responsible for the success and failure of nations. This investigation was prompted after reading numerous references on the subject and perceiving that *Why Nations Fail: The Origins of Power, Prosperity, and Poverty* by Acemoglu and Robinson seem to make a great deal of sense.

Original model done for The Perspectives Project though recast into Kumu.

Why Nations Fail

Fanda Bunda

A stock-flow diagram of an annuity mortgage. Initial loan, duration of the loan and the interest rate can be adapted. Simulation shows the development of the debt, interest and redemption, and cost of credit in three separate graphs and an annuity schedule in a table. Annuity is per year.

Annuity mortgage

Henny van Dongen

This is a toy model of an investment market.

Households follow a simple ratio to invest in bonds or equities. In part, the investment decision is stochastic, such that stock market returns are volatile, with equities more volatile than bonds and with a higher yield. As such, the system shows increasing volatility as the investment bubble grows.

Investment Markets

Neil Lancastle

Based on the Market and Price simulation model in System Zoo 3.

I wrote an explanation of the model which you can find here: https://kdrive.infomaniak.com/app/share/1524656/f05f288f-6b27-4b32-87aa-46114dccc956

Z504 Market and Price - System Zoo 3

Henny van Dongen

8 last month

Based on G.P. Cimellaro et al. Framework for analytical quantification of disaster resilience Engineering Structures 32 (2010) 3639–3649 paper

Facilities Disaster Resilience

Geoff McDonnell