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
Starts from the bathtub model of economics developed by TSSEF.se (see the explanation here). It adds rich and poor and you can change the constraints on the system by moving the sliders (taxes, wages, rates, dividends etc) to see how the economic system functions at national level.
I have tried every combination I can but I think you will agree with me that the system is unstable. OR maybe I forgot something.
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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This page provides a structural analysis of POTUS Candidate Bernie Sanders. 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
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 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.
Adjusted parameter: 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.
