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Ecological economics

Bertrand Nzomigni

Cornerstore Economic Model

Michelle Molskow

WIP concepts from Rachel Turner's Book Neo-liberal Ideology

Neoliberal concepts

Geoff McDonnell

Final SSM Lionfish Management PT2 revised with Storytelling

ma509018

4 months ago

Introduction:

This model demonstrates the COVID-19 outbreak in Burnie, Tasmania. It shows how the government policy tries to reduce the spread of COVID-19 whilst also impacting the local economy.

Assumptions:

This model has four variables that influence the number of COVID-19 cases: infection rate, immunity loss rate, recovery rate and death rate.

In order to reduce the pandemic spread, in this model, assume the government released six policies when Burnie COVID-19 cases are equal or over 10 cases. Policies are vaccination promotion, travel restriction to Burnie, quarantine, social distance, lockdown and testing rate.

Government policies would reduce the pandemic. However, it decreases economic growth at the same time. In this model, only list three variable that influence local economic activities.

Travel restrictions and quarantine will reduce Burnie tourism and decrease the local economy. On the other hand, quarantine, social distance, lockdown allow people to stay at home, increasing E-commerce business.

As a result, policies that cause fewer COVID-19 cases also cause more considerable negative damage to the economy.

Interesting insights:

One of the interesting findings is that the government policy would reduce the COVID-19 spread significantly if I adjust the total government policies are over 20% (vaccine promotion, travel restriction, quarantine, social distance, lockdown), 3560 people will die, then no more people get COVID-19.

However, if I change the total government policy to less than 5%, the whole Burnie people will die according to the model. Therefore, we need to follow the polices, which saves our lives.

BMA708 assignment3 - Model of COVID-19 outbreak in Burnie

Zhiyuan Wang

Book Fig. 42-43 Economic capital with its reinforcing growth loop constrained by a renewable resource.

Kaloyan Ivanov

11 months ago

Wagdy Samir work in progress. Addition of Bill Mitchell's draft textbook chapter1 See also The value of everything book IM

MacroEconomics

Geoff McDonnell

5

Insight economical

Артём Хабибуллин

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 more environmentally focused policy.

ECM-Training - World3 Model (clone) : Classic World Simulation

JFade

47

This model describes the whole process about government response and economic impact when the covid-19 outbreak in Burnie, Tasmania. When the reported cases increase to a certain level, the government realizes its high risk, then publishes a series of policies to protect the public, such as travel restriction, social distance and quarantine. The economic damage is also severe, especially for tourism and hostility industry and retail industry.

Clearly, in the beginning, the number of infected people and death cases increase sharply, but due to government policies and vaccination, it effectively reduces covid-19 cases. For economy, on one hand, the government health policies slow down the pace of growth, on the other hand, the government build vaccine confidence, which leads to more people getting vaccinated, and help the economy back to normal.

Covid-19 outbreak in Burnie Tasmania

yuan zhang

Barangay IRAWAN Systems Model

Biophysical, Socio-cultural & Economic Data of Bgy. IRAWAN

Sitti Mashita J. Kilis

From Jay Forrester 1988 killian lectures youtube video describing system dynamics at MIT. For Concepts See IM-185226. For more detailed biography See Jay Forrester memorial webpage For MIT HIstory see IM-184930

System Dynamics Applications

Geoff McDonnell

วช

meng

Business Economic Sustainability

Phebe Rutledge

Community Economic Impact

Matthew Owen Deters

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.

SDR Case study System dynamic modelling

Marcos Fraiha

6

Class Economics

Neon Schaf

WIP Social determinants of health from Michael Marmot's ABC 2016 Boyer Lectures on Social Justice and the Health Gap See US Data website for data and AIHW website for concepts. See also IM-83417 Marmot Essay 2017

Social Justice and the Health Gap

Geoff McDonnell

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

Q4 Final Project w/ socio-economic

Claire Murley

This is a high-level causal loop diagram mapping the impacts of a power outage on FEMA lifelines and associated services, and the resulting potential feedbacks and impacts to human behavior and various dimensions of wellbeing.

A lifeline enables the continuous operation of critical government and business functions and is essential to human health and safety or economic security.

Lifelines are the most fundamental services in the community that, when stabilized, enable all other aspects of society to function.
FEMA has developed a construct for objectives-based response that prioritizes the rapid stabilization of Community Lifelines after a disaster.
The integrated network of assets, services, and capabilities that provide lifeline services are used day-to-day to support the recurring needs of the community and enable all other aspects of society to function.
When disrupted, decisive intervention (e.g., rapid re-establishment or employment of contingency response solutions) is required to stabilize the incident.

Context-dependent characteristics of hazards, households, and infrastructures influencing vulnerability are represented as variables. Variables are constant or dynamically calculated values that can be used to synthesize data, calibrate models, and/or create forcing functions based on the current time.

Lifeline services are represented as converters, which can be used to represent input-output relationships or graphs.

Multiple forms of capital (e.g., human, natural, social, manufactured) are represented as stocks. Stocks are flexible "buckets" into which something can be accumulated or withdrawn from.

Human Dimensions of Energy Systems