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

Taken from Saeed, Khalid. ‘Limits to Growth Concepts in Classical Economics’. In Feedback Economics: Economic Modeling with System Dynamics, edited by Robert Y. Cavana, Brian C. Dangerfield, Oleg V. Pavlov, Michael J. Radzicki, and I. David Wheat, 217–46. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-67190-7_9.

BRIEF OPENING PARAGRAPH:

Our sustainability challenge surrounds the issues that stem from ineffective mitigation of stormwater. Through this, there is an increased risk of flooding, as stormwater runoff is directly released into rivers. This unregulated runoff creates social, economic, and environmental issues. The increased chance of floods creates social issues such as property damage to homes, destruction of crops and livestock, and severe mental trauma to those affected. The environment is also impacted by this issue, as improper stormwater mitigation creates an increase in temperature through the Urban Heated Island Effect. Finally, this challenge raises several economic issues, as funds for repairing damages may become limited through repeated flood damage, with property value will plummeting as a result. Our model will present the challenge of ineffective stormwater mitigation, and the social, economic, and environmental issues that occur as a result.

BRIEF CLOSING PARAGRAPH:

Through our model, the issues of improper mitigation of runoff have been presented. It is clear that without regulation, stormwater runoff can be detrimental to our society, economy, and our environment. Living in an area that rains often, such as Greater Vancouver, this issue is extremely relevant, as we are directly impacted by unregulated runoff. When running a simulation of our model on InsightMaker, groundwater is shown to increase initially, and then quickly plateaus. This is because groundwater is not infinite, and if this problem continues to persist, we will eventually run out of drinkable water. It is important that we raise awareness to this issue, and that we understand its impacts from societal, economic, and environmental perspectives.

SEPARATE PAGE FOR A DETAILED DESCRIPTION OF THE MODEL AND THE ISSUES EXPLAINED IN DETAIL:

https://docs.google.com/document/d/11-Md0b_tNKTJMsKvJmUB2U3A-S9YERFpcXZSmZ4JPco/edit?usp=sharing

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

WIP replication of Khalid Saeed's draft paper presented by the Economics chapter of the SD Society in Sept 2019 youtube video

This model demonstrate how the exisitng tested COVID cases effects economic recovery via goverment intervenes.

Smithian growth model from Michael Joffe Fig. 3.7 p57 Ch3 Feedback Economics Book

WIP concepts from Rachel Turner's Book Neo-liberal Ideology

Economic growth cannot go on forever, although politicians and most economist seem to think so. The activity involved in economic growth necessarily  generates entropy (disorder and environmental degradation). Entorpy in turn generates powerful negative feedback loops which will, as a response from nature, ensure that economic activity will eventually grind to a complete halt.  In these circumstances organised society cannot persist and will collapse. The negative feedback loops shown in this graph have already started to operate. The longer economic growth continues unabated, the more powerful these negative feedback loops will become. How long can economic growth continue before it is overwhelmed? It may not be very far in the future.

This high-level simulation model presented by Jay Forrester in his book World Dynamics, simulates socio-economic-environmental world system. The world Model was created in a time where pollution and other negative effects of industrialization and economic growth started to become recognized in 1970. For this exam purpose, we have rebuilt the model to do some experiments and analyze the results. 

This page provides a structural analysis of POTUS Candidate Jim Webb. The method used is Integrative Propositional Analysis (IPA) available: ​ http://scipolicy.org/uploads/3/4/6/9/3469675/wallis_white_paper_-_the_ipa_answer_2014.12.11.pdf

Based on chapter 14 of Modeling Dynamic Economic Systems

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

REvisited Causal loop diagram based on PhenomenalWorld article on Non-Hegemony (Multilateralism) via my Gemini interaction using Gene Bellinger's AI prompts  Originally to provide an overarching structure to simplify the previous messy insight aggregate of multiple lower scale elements based on Fadhel Kaboub's substack blog entries esp BRICS  Multipolar world

Implementation of the Solow model of economic growth with labor enhancing technology.

parameters: s, alpha, delta, n, gA
variables: Y. K, L, C, A
per capita variables: y, k, c, a
per capita and technology variables: y~, k~, c~
steady state variables: y~*, k~*, c~*
all variables come with relative growth rates g

Features:

+steady state from beginning
+one time labor shock
+permanent savings quote shock
+permanent technological growth rate shock

Decreasing steady state variables when starting in steady state are numeric artifacts.

It seems to me that racism and white supremacy​ have been used to maintain power - political power, economic power, etc. Power over others. I am trying to capture that in a systemic drawing.

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.

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.

Model description: 

This model is designed to simulate the Covid-19 outbreak in Burnie, Tasmania by estimating several factors such as exposed population, infection rate, testing rate, recovery rate, death rate and immunity loss. The model also simulates the measures implemented by the government which will impact on the local infection and economy. 

 

Assumption:

Government policies will reduce the mobility of the population as well as the infection. In addition, economic activities in the tourism and hospitality industry will suffer negative influences from the government measures. However, essential businesses like supermarkets will benefit from the health policies on the contrary.

 

Variables:

Infection rate, recovery rate, death rate, testing rate are the variables to the cases of Covid-19. On the other hand, the number of cases is also a variable to the government policies, which directly influences the number of exposed. 

 

The GDP is dependent on the variables of economic activities. Nonetheless, the government’s lockdown measure has also become the variable to the economic activities. 

 

Interesting insights:

Government policies are effective to curb infection by reducing the number of exposed when the case number is greater than 10. The economy becomes stagnant when the case spikes up but it climbs up again when the number of cases is under control. 

​Climate Sector Boundary Diagram By Guy Lakeman