A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy. Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover
Assumptions
The government has reduced both the epidemic and economic development by controlling immigration.
This
paper aims at describing a case where system dynamics modeling was used to evaluate
the effects of information and material supply lead-time variation on sales
contributions margins and operating cash conversion cycle of a commodity export
business. An empirical dynamic model,
loaded with econometric theory of price effect on competitive demand, was used
to describe the input data. The model simulation
outputs proved themselves relevant in analyzing the complex interconnections of
multiple variables affecting the
profitability in a commercial routine, supporting the decision process among
sales managers.
Modern industrial civilisation has created massive
interdependencies which define it and without which it could not function. We all
depend on industrial farming to produce the food we eat, we depend on gasoline
being available at the gas station, on the
availability of electricity and even on the bread supplied by the local baker. Naturally,
we tend to support the institutions that supply the amenities and goods to
which we have become accustomed: if we get our food from the local supermarket,
it is likely that we would be opposed to it’s closure. This means that the economic
system that relies on continuous growth enjoys implicit societal support and that
nothing short of environmental disaster or a shortage of essential raw
materials will impede it’s growing indefinitely. It is not hard to work out the
consequences of this situation!
Clone of The Inescapable Dynamic of Economic Growth (Version 2)
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
From Jay Forrester 1988 killian lectures youtube video describing system dynamics at MIT. For more detailed biography See Jay Forrester memorial webpage For MIT HIstory see IM-184930 For Applications se IM-185462
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
Veblen and Kenneth Boulding. <!--[if gte mso 9]>
Normal
0
false
false
false
DE
X-NONE
X-NONE
<![endif]--><!--[if gte mso 9]>
<![endif]--><!--[if gte mso 10]>
/* Style Definitions */
table.MsoNormalTable
{mso-style-name:"Table Normal";
mso-tstyle-rowband-size:0;
mso-tstyle-colband-size:0;
mso-style-noshow:yes;
mso-style-priority:99;
mso-style-parent:"";
mso-padding-alt:0in 5.4pt 0in 5.4pt;
mso-para-margin-top:0in;
mso-para-margin-right:0in;
mso-para-margin-bottom:10.0pt;
mso-para-margin-left:0in;
line-height:115%;
mso-pagination:widow-orphan;
font-size:11.0pt;
font-family:"Calibri",sans-serif;
mso-ascii-font-family:Calibri;
mso-ascii-theme-font:minor-latin;
mso-hansi-font-family:Calibri;
mso-hansi-theme-font:minor-latin;
mso-ansi-language:DE;}
<![endif]-->
This model compares direct exchange prices to money prices. It demonstrates the distortion that monetary expansion or contraction has on the information contained in monetary pricing.
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.
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.
Clone of Pesticide Use in Central America for Lab work
This model is an attempt to simulate what is commonly referred to as the “pesticide treadmill” in agriculture and how it played out in the cotton industry in Central America after the Second World War until around the 1990s.
The cotton industry expanded dramatically in Central America after WW2, increasing from 20,000 hectares to 463,000 in the late 1970s. This expansion was accompanied by a huge increase in industrial pesticide application which would eventually become the downfall of the industry.
The primary pest for cotton production, bol weevil, became increasingly resistant to chemical pesticides as they were applied each year. The application of pesticides also caused new pests to appear, such as leafworms, cotton aphids and whitefly, which in turn further fuelled increased application of pesticides.
The treadmill resulted in massive increases in pesticide applications: in the early years they were only applied a few times per season, but this application rose to up to 40 applications per season by the 1970s; accounting for over 50% of the costs of production in some regions.
The skyrocketing costs associated with increasing pesticide use were one of the key factors that led to the dramatic decline of the cotton industry in Central America: decreasing from its peak in the 1970s to less than 100,000 hectares in the 1990s. “In its wake, economic ruin and environmental devastation were left” as once thriving towns became ghost towns, and once fertile soils were wasted, eroded and abandoned (Lappe, 1998).
Sources: Douglas L. Murray (1994), Cultivating Crisis: The Human Cost of Pesticides in Latin America, pp35-41; Francis Moore Lappe et al (1998), World Hunger: 12 Myths, 2nd Edition, pp54-55.
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.
The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.
Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.
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
Capitalism is in crisis and climate
change disruption is now beginning to hit the bottom line. Insurance companies
know this well. According to a report by the Bank of England, insured losses
have risen from $10 000 million in 1985 to $50 000 million in 2015. Climate change
cannot be reversed, and extreme weather events
will undoubtedly get worse in the future strengthening the disruptive effects
shown in the CLD. Another dynamic is that
companies will continue to automate and, as The Economic Policy Institute has shown,
fail to reflect productivity gains in workers' salaries. The result, stagnating
salaries is disastrous for demand, given that capitalism needs endlessly rising demand
and consumption. A further serious problem is that as climate change gets worse
there will be increasing demands for companies to assume their responsibility and
bear the costs of negative externalities. The CLD shows these factors which are likely
to lead to the collapse of the system: when capitalism can no longer generate 'capital'
it has stopped to serves any useful purpose.
Rich picture version of Tanner's Clinical Judgment Model, with the addition of clinical reasoning cycle concepts from T Levett-Jones et al Nurse Education Today 30 (2010) 515-520
Digital Literacy & Electronic Healthcare Record Integration
