Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Q2 Final Project w/ socio-economic
This is an interface to explore UK-SSP2.
UK-SSP2 Middle of the Road
The key issue here (still an incomplete model) is that insight maker doesnt like the agent folder and the flows. I've solved the original problem where the flows couldn't go across agent boundaries (I did this simply by moving the stocks and their respective flows all OUTSIDE of the folder), but now the main issue is that the flows outside of the folder (particularly [Internal Factor Flow] don't pick up the links from the variables inside of the folder. A key variable, susceptability, has to connect to the previously mentioned flow. The problem is that it lies in the agent folder which means that the flow can't recognize the link. I even tried using a ghost of the Susceptability variable and placed it outside of the folder but that didn't work.
Fixing_GSGS_GREECE_GERMANY_MIGRATION_DRAFT
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
Brief Summary of Albert O Hirschman's Book
The Passions and the Interests
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
HANDY Model of Societal Collapse from Ecological Economics
Paper see also D Cunha's model at IM-15085 (Spanish)
Human and Nature Dynamics of Societal Inequality
Buying and storing electricity when it is cheap, and selling it when it is expensive. What are the benefits, both public and private?
Smart Grid: Electricity storage and variable energy pricing
Plan for CCP project completion see IM-102242 for WIP detail of the structures of the related models
CCP Project Scope Deliverables and Extensions
FORCED GROWTH GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION
BEWARE pushing increased growth blows the system!
(governments are trying to push growth on already unstable systems !)
The existing global capitalistic growth paradigm is totally flawed
The chaotic turbulence is the result of the concept and flawed strategy of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks
See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)
FORCED GROWTH INTO TURBULENCE
Adapted from Hartmut Bossel's "System Zoo 3 Simulation Models, Economy, Society, Development."
Population model where the population is summarized in four age groups (children, parents, older people, old people). Used as a base population model for dealing with issues such as employment, care for the elderly, pensions dynamics, etc.
Z602 Population with four age groups
Introduction:This model aims to show that how the Tasmania government's COVID-19 policy can address the spread of the pandemic and in what way these policies can damage the economy.
Assumption:
Variables such as infection rate, death rate and the recovery rate are influenced by the actual situation.
The government will implement stricter travel bans and social distant policies as there are more cases.
Government policies reduce infection and limit economic growth at the same time.
A greater number of COVID-19 cases has a negative effect on the economy.
Interesting insights:
A higher testing rate will make the infection increase and the infection rate will slightly increase as well.
Government policies are effective to lower the infection, however, they will damage the local economy. While the higher number of COVID-19 cases also influences economic activities.
Model of COVID-19 outbreak in Burnie_Guoyu Shen
• 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
Correlation of National Electrification with Internal and External Influence Factors
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
Stage 5 World Premiere Economy and Fossil Fuels
Based on the SIR (Susceptible, Infected, Recovered) model of disease, this is an upgraded model with more specifc vaeriables.
Insights:
When the growth rate and the number of the recovered is much larger than deaths, the economic activity remain steady growing.
Model of COVID-19 outbreak in Burnie Tasmania
This model analyzes the interaction between climate change mitigation and adaptation in the land use sector using the concept of forest transition as a framework.
Forest Transition
This causal loop diagram illustrates the interconnected factors affecting the economic empowerment of Congolese refugee women in Rwanda, with economic dependency as the central problem reinforced by limited access to vocational training, employment opportunities, and financial services. The diagram shows two key reinforcing loops: one where vocational training leads to employment and income generation, which reduces dependency and improves access to further training (R1), and another where income generation builds self-confidence and skills recognition, leading to better employment opportunities (R2), while language barriers and cultural constraints act as inhibiting factors throughout the system.
Causal Loop Diagram: Economic Empowerment of Congolese refugee women in Rwanda.
Irving Fisher's Debt Deflation Theory from Michael Joffe Fig. 3.4 p54 Ch3 Feedback Economics Book with Private Credit Inflation boom added to the bust cycles
Irving Fisher's Debt Deflation Theory
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Oil Price Influencers (3-Loop)
