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EcoCinco_Deforestation_Land Changes
9 months ago
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An economic model of Oregon's Marijuana. 
Visual display of the Marijuana flow in Oregon.
OMM
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Shared Team Narrative Diagram
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Cornerstore Economic Model
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ESI6550 Group 6 (Model 2)
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This model is comparing healthy and sick residents in Burnie, Tasmania after the Covid-19 Outbreak in 2020. It will also show how the Burnie economy is effected by the disease, how the Government Health Policies are implemented and how they are enforced.

This model is based on the SIR, Susceptible, Infection, Recovery (or Removed) These are the three possible states related to the members of the Burnie population when a contagious decease spreads.

The Government/Government Health Policy, played a big part in the successful decrease in Covid-19 infections. The Government enforced the following.
- No travel (interstate or international)
- Isolation within the residents homes
- Social distancing by 1.5m
- Quarantine
- Non essential companies to be temporarily closed
- Limitations on public gatherings
- And limits on time and kilometers aloud to travel from ones home within a local community

This resulted in lower reported infection rates of Covid-19 and higher recovery rates.

In my opinion:
When the first case was reported the Government could have been even faster to enforce these rules to decrease the fatality rates further for the Burnie, population.  

Assumption: Government policies were only triggered when 10 cases were recorded.
Also, more cases that had been recorded effected the economic growth during this time.

Interesting Findings: In the simulation it shows as the death rates increases towards the end of the week, the rate of testing goes down. You would think that the government would have enforced a higher testing rate over the duration of this time to decrease the number of infections, exposed which would increase the recovery rates faster and more efficiently.  

Figures have been determined by the population of Burnie being 19,380 at the time of assignment.

Complex Systems How Burnie Tasmania dealt with Covid-19 Outbreak BMA708
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Explanation
This model shows the COVID-19 outbreak in Burnie and how the government policy impacts the economy. The possible phases when the infectious disease spreads in Burnie can be labelled as Susceptible, Infection and Recovery, which are main factors in the model. It is concluded that the government policy can reduce the infectious disease and also the impact in the overall economy.

Assumption
The Government Healthy Policy will affect the decrease in the infection and economy growth rate at the same time.

The Government Health Policy is only triggered when there are more than 10 cases

The increase in number of COVID-19 cases can affect negatively towards the economic growth.

Interesting Insights:
The Government's vaccination promote will reduce the possibility of spreading the infectious disease. 

When vaccination rate increase, the dead, infected people and susceptible group will all decrease. This reveals that the crucial role in government's vaccination promote program.

When there is more than 10 confirmed cases, the government policies can effectively reduce the infections and the overall economic activities.


BMA708_Assignment 3_Joleen Tanjaya
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
This Scenario hits Affluence (1% decrease per annum) to increase decarbonization of energy. Additionally, decrease in affluence is increased by temperature increases damaging the global economy
Final Project 4 W/ Socio-Economic Factors - Investment+Temperature Degradation
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Summary of UNEP ecosystems services CBA 2011 article by Wegner and Pascual
Value and cost benefit analysis
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State Goverment Fiscal Policy model
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Farming_small vs large
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Economic forecast model
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Economic Effect
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A restatement of the ISDC Nijmegen 2006 paper Exploring the Political and Economic Dimensions of Health Policy This may benefit from simplification and using cultural theory. See IM-57161 for extension
Political Economy of Health Services
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This model shows the simulation of COVID-19 outbreaks when it hit Burnie, Tasmania. This model will show how government intervention will impact the total number in COVID 19 cases and the overall economic activity.

 

Assumptions

1.   The current Burnie population in 19550. Therefore, the susceptible population is equal to the current Burnie population.

2.       Since Burnie is just a regional city, the virus infection rate is 25% as 5000 people in Burnie went into quarantine during the outbreak last year.

3.       50% of people who are infected will recover.

4.       20% of people who are infected will die because Burnie population average is old.

5.       Government intervention and policy will reduce the Infection

6.       COVID-19 is only countable as a case if the infected people have been tested, and the percentage of testing depends on how many infected people have been tested.

7.       Following a recovery, there is a chance that people could lose their immunity, and also the immunity loss rate measures this.

8.       Government intervention will reduce the infection rate by 15%.

9.       Lockdown will cause tourism industry to shut down and affect the overall economic activity.

10.   Lockdown is one of the most effective way to prevent infection.

11.   Strict health protocol also contributes to reduce the infection.

12.   Vaccination will not make people fully immune to the virus. However, vaccinated people will reduce the immunity loss percentage.

13.   Economic growth rate percentage is based on year 2020.

Findings

1.       COVID-19 could be significantly reduced in number and the spread of the vaccine could make a significant impact on the epidemic.

2.       Economic activity will drop during the first phase of government intervention, However, it will steadily increase overtime

3.       Less people going to be susceptible as government imposed covid 19 rules.

BMA708 Michael Sunjaya Jurenang ID:547923
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Template to start Assignment 1.  Click "Clone Insight" above to make a copy for yourself.
ISCI 360 Assignment 1
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Description for Each Simulation Tag:

CRISIS:
- Price increasing dramatically, surpasses average detached home price of 3 million in 3 years if left unaddressed
- Housing Demand by potential buyer population will increase due to unmet financial means (Interest rate and price too high). To secure housing, the outflow is linked to price that is affected by supply and demand.
- Total occupied homes will decrease as empty homes purchased by foreign investors for "house flipping" increase and doubles within 5 years.

DEMAND:
-  Demand for housing in Vancouver will increase, but the amount of people motivated to buy with financial means "buyer population", will decrease in correlation.

SUPPLY:
- Prices do not follow traditional supply and demand concepts. Supply of houses on the market is increasing but, as shown, unable to sell because of unaffordability.

SYSTEMS MODEL LOGISTICS:
- Split into demand and supply with interlinked links
- Supply is a feedback system with sold houses branching off into empty housing or occupied housing
- All flows and stocks are linked with the intention that as market price changes, so will various system dynamics
- Used various functions to simulate a more diverse and accurate system

Sustainability: Economic (prices, housing market), Social (motivation to buy and sell)
Crisis Model - Vancouver Housing Crisis
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Team 3 Environmental Sustainability Rich Picture
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A possible "Rule" element to represent the relationship between the rate of illegal immigration into the United States and identifiable key variable factors could be:

"If the levels of identifiable key variable factors such as economic opportunity, political stability, and security in countries of origin and the effectiveness of border security measures and immigration policies in the United States are favorable, then the rate of illegal immigration into the United States is likely to be lower. Conversely, if these key variable factors are unfavorable, then the rate of illegal immigration into the United States is likely to be higher."

This rule suggests that the rate of illegal immigration into the United States is influenced by a combination of push factors in countries of origin and pull factors in the United States, such as economic opportunity, political stability, security, and the effectiveness of border security measures and immigration policies. By considering these key factors, policymakers can develop more effective strategies to manage and reduce the rate of illegal immigration into the United States.

Number of illegal immigrants in US Model
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Fig 17.15 p700 Causal structure of commercial real estate markets of Case Study from John Sterman's 2000 Business Dynamics Book 
Boom and bust in Commercial Real Estate
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Socio-Economic Model (final)