Simple model of the global economy, the global carbon cycle, and planetary energy balance.
The planetary energy balance model is a two-box model, with shallow and deep ocean heat reservoirs. The carbon cycle model is a 4-box model, with the atmosphere, shallow ocean, deep ocean, and terrestrial carbon.
The economic model is based on the Kaya identity, which decomposes CO2 emissions into population, GDP/capita, energy intensity of GDP, and carbon intensity of energy. It allows for temperature-related climate damages to both GDP and the growth rate of GDP.
This model was originally created by Bob Kopp (Rutgers University) in support of the SESYNC Climate Learning Project.
Added several versions of the model. Added a flow to make C increase. Added a factor to be able to change the value 0.5. Older version cloned at IM-46280
This model was designed from the SIR
model(susceptible, infected, recovered) to determine the effect of the covid-19
outbreak on economic outcomes via government policy.
Assumptions:
The government policy is triggered when the
number of infected is more than ten.
The government policies will take a negative
effect on Covid-19 outbreaks and the financial system.
Parameters:
We set some fixed and adjusted variables.
Covid-19 outbreak's parameter
Fixed parameter: Background
disease.
Adjusted parameters: Infection rate, recovery rate. Immunity loss rate can be
changed from vaccination rate.
Government policy's parameters
Adjusted parameters: Testing rate(from 0.15
to 0.95), vaccination rate(from 0.3 to 1), travel ban(from 0 to 0.9), social
distancing(from 0.1 to 0.8), Quarantine(from 0.1 to 0.9)
Economic's parameters
Fixed parameter: Tourism
Adjusted parameter: Economic growth rate(from
0.3 to 0.5)
Interesting insight
An increased vaccination rate and testing
rate will decrease the number of infected cases and have a little
more negative effect on the economic system. However, the financial system
still needs a long time to recover in both cases.
BMA708_Assignment 3_Nguyen Dang Khoa Vo_520272_COVID-19 outbreak and Burnie economy
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
DRAFT IPA of Jim Webb POTUS candidate economic policy
This model simulates the economics of buying a home. It was created to compare buying a home against using investment returns to pay for rent. According to Micheal Finke, house prices typically run 20x monthly rental rates.
Try cloning this insight, setting the parameter values for real-world scenarios, and then running sensitivity analysis (see tools) to determine the likely wealth outcomes. Compare buying a home to renting. Note that each run will keep the parameters the same while simulating market volatility.
Simple mock-up model of how prioritizing various push-pull factors impacts the size of the immigrant population over time as well as economic benefits to the U.S. economy.
A single resource is used with a constant rate and converted into products in use. After a while, these products become unusable because of aging. The recycling of these unusable products is imperfect, thus the amount of not recyclable resource grows (until a better recycling process is invented).
Social determinants of health are economic and social conditions that influence the health of people and communities. These conditions are shaped by the amount of money, power, and resources that people have, all of which are influenced by policy choices. Social determinants of health affect factors that are related to health outcomes. Factors related to health outcomes include:
How a person develops during the first few years of life (early childhood development)
How much education a persons obtains
Being able to get and keep a job
What kind of work a person does
Having food or being able to get food (food security)
Having access to health services and the quality of those services
Theory of Structural Change for IAMO Research Group
The part-whole paradigm
Examples of
research issues addressed here include the path dependence of farm structures,
regime shifts in land-system change, as well as transitional processes in the
evolution of farm structures and innovation systems. All these issues feature
counter-intuitive systemic properties that could not have been predicted using
standard agricultural economics tools. The key strength of the research group
in regard to the part-whole paradigm is the internationally renowned expertise
in the agent-based modelling of agricultural policy. (More on what happened here until now / is happening now)
The system-environment paradigm
This paradigm is represented by conceptual
research drawing inspiration from Niklas Luhmann’s theory of “complexity-reducing”
and “operationally closed” social systems. The attributes of complexity
reduction and operational closure are shown to generate sustainability
problems, conflicts, social dilemmas, ethical issues, and divergent mental
models. The organizing idea explaining these phenomena is the
complexity-sustainability trade-off, i.e., the tendency of the operationally
closed systems to develop excessive internal complexity that overstrains the
carrying capacity of the environment. Until now, the conceptual work along
these lines has focused on developing the systems-theoretic principles of
ecological degradation and highlighted the sustainability-enhancing role of
nonprofit organizations and corporate social responsibility. Another overarching
topic has been the analysis of connections between Luhmann’s social systems
theory and the evolutionary economics approaches, such as those of Thorstein
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