Commercial aviation economic activity in the EU
This is a toy model of tax policies.
The findings were presented at the 6th International Dijon Conference (2012) in a paper called 'Extended Circuit Theory: Modelling the Impact of Government Interventions'.
Tax Policies
Scott Page's Aggregation diagram from Complexity and Sociology 2015 article see also IM-9115 and SA IM-1163
Macro micro dynamics
Causal loop diagram capturing the interactions, trade-offs, and synergies between agriculture (SDG 2), water availability (SDG 6), economic growth (SDG 8), and life on land (SDG 15). Positive feedback linkages are shown as a positive sign (+), whereas negative feedback linkages are shown with a negative sign (−). The purple arrows indicate the enviro-biophysical linkages. The green arrows indicate the socio-economic linkages. The SDG icons are courtesy of the UN SDG communications material.
Reference - Bandari, Reihaneh, et al. "Participatory Modeling for Analyzing Interactions Between High‐Priority Sustainable Development Goals to Promote Local Sustainability." Earth's Future 11.12 (2023): e2023EF003948.
The Story of Interactions of SDGs
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
Economic Model - Final Project
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
This insight includes a Limits to Success archetype. (Bubbles colored with a darker blue)
Economical Factor
Policy Memo - Coywolf - v1HG
• 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
OverviewThe model explores the interactions between mountain biking industry and logging industry in Derby, Tasmania. Although both industries promote the economy, they generate income at a different rate and at each other's expense. Given such competing relationship, this model focuses on demonstrating to what extent can these two industries co-exist through runing simulation. Further, the model explores the conditions under which one may adversely impact the other.
How does the model work?
We build two models for forestry and mountain biking respectively. Each model demonstrates how the industry imposes influences and benefits the economy as a whole.
- With mountain bike visits, forestry enhances the scenary and increases excitement and adventure, that will lead to better tourist experiences and recommendation. As such, more visitors come to the park, that boosts the economy through higher tourism income.
- From the perspective of logging, logging creates employment opportunities and generates income from timber. On the other hand, it also degrades the scenary and the experience of mountain bikers looking for adventure. The immediate effect is the decreasing amount of visitors. However, fewer visitors improve experience and may pull up amount of park visits.
Interesting Insights
- As shown from the simulation results, logging does not deter the development of mountain biking in Derby. Over the long term, adventure tourism is expected to continuously generate increasing income. This is attributable to the direct income from park charges, as well as accompanying spending in restaurants and accommodation. As a result, the total economic benefits for the local area is positive and tends to increase over time.
- In addition, past experience fluctuates as the amount of visitors changes. These two variables interact and impose impacts on each other. More visitors will degrade the experience and decrease park visits, which will in turn improve the experience and increase park visits.
- Moreover, demand for timber actually promotes adventure tourism through creating more job opportunities, which would increase park visits.
Simulation of Derby Mountain Biking versus Logging
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
This Insight is used for simulating growth of a company with specified parameters.
CompanyGrowth
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
Insight Stage 4 Dress Rehearsal Economy and Fossil Fuels
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
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
An initial study of the economics of single use coffee pods.
3 variables-- ORIGINAL Coffee Pods ISD Humanities v 1.02
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
This model can be used to investigate how government interventions affect transmission and mortality associated with COVID-19 during an outbreak, and how these interventions impact on the economic activities in Burnie, Tasmania.
Assumptions can be made that effective government intervention can reduce the number of people infected, whereas the local economy is severely impacted.
Insights:
1. When COVID-19 case are more than 10, government policy will be triggered.
2. Testing rate is very crucial to understanding the spread of the pandemic and responding appropriately.
BMA708_Marketing insights_Covid-19 Outbreak in Burnie Tasmania_Jing XU
Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Final project scenario 2
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
