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Model 2

Laura Anne Geronimo

Deforestation and Economic Development in an Underdeveloped County

Chanaphorn Silaphorn

Implementação do modelo Handy.

Referência:

Motesharrei, S.; Rivas, J.; Kalnay, E. "Human and nature dynamics (HANDY): Modelling inequality and use of resources in the collapse or sustainability of societies". Ecological Economics 101 (2014) 90-102

http://www.sciencedirect.com/science/article/pii/S0921800914000615

HANDY

Daniel Cunha

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.

Final project with Socioeconomic Model

Jordan Gush

3

This simple model describes wealth accumulation. The value in income is described by the following simple equation:

simple wealth accumulation model 1.1

Larry Lee

20 5 months ago

A simple model for cc adoption which depends on several condions.

Cloud Computing adoptation

Rohit Nalavade

Simple epidemiological model for Burnie, Tasmania

SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model, will stop for next 52 weeks).

Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)

Yue Xiang

5

Model description:

This model is designed to simulate the outbreak of Covid-19 in Burnie in Tasmania, death cases, the governmental responses and Burnie local economy.

More importantly, the impact of governmental responses to both Covid-19 infection and to local economy, the impact of death cases to local economy are illustrated.

The model is based on SIR (Susceptible, Infected and recovered) model.

Variables:

The simulation takes into account the following variables:

Variables related to Covid-19: (1): Infection rate. (2): Recovery rate. (3): Death rate. (4): Immunity loss rate.

Variables related to Governmental policies: (1): Vaccination mandate. (2): Travel restriction to Burnie. (3): Economic support. (4): Gathering restriction.

Variables related to economic growth: Economic growth rate.

Adjustable variables are listed in the part below, together with the adjusting range.

Assumptions:

(1): Governmental policies are aimed to control(reduce) Covid-19 infections and affect (both reduce and increase) economic growth accordingly.

(2) Governmental policy will only be applied when reported cases are 10 or more.

(3) The increasing cases will negatively influence Burnie economic growth.

Enlightening insights:

(1) Vaccination mandate, when changing from 80% to 100%, doesn't seem to affect the number of death cases.

(2) Governmental policies are effectively control the growing death cases and limit it to 195.

Burnie Tasmania Covid - 19 outbreak simulation Model by Yankang Huang 541 277

Yankang Huang

Overview

The model shows the industry connection and conflict between Forestry and Mountain Tourism in Derby, Tasmania. The objective of this simulation is to find out the balance point for co-exist.

How Does the Model Work?

Both industries can provide economic contribution to Tasmania. Firstly, selling timbers through logging would generate income. Also, spendings from mountain bike riders would generate incomes. However, low tree regrowth rate can not cover up logging, which influences the beautiful vistas and riders' experiences. While satisfaction and expectation depend on vistas and experience, the demand of mountain biking would be influenced through repeat visits and world of mouth as well.

Interesting Insights

Although forestry can provide a great amount of economic contribution to Tasmania, over logging goes against ESG framework as well as creating conflict with mountain tourism. As long as the number of rider visits is stable, tourism can always provide a greater economic contribution compared to forestry. Therefore, the government should consider the balance point between two industries.

Simulation of Derby Mountain Bikes versus Forestry

Silong Lou

Model description:

This model is designed to simulate the Covid-19 outbreak in Burnie, Tasmania by estimating several factors such as exposed population, infection rate, testing rate, recovery rate, death rate and immunity loss. The model also simulates the measures implemented by the government which will impact on the local infection and economy.

Assumption:

Government policies will reduce the mobility of the population as well as the infection. In addition, economic activities in the tourism and hospitality industry will suffer negative influences from the government measures. However, essential businesses like supermarkets will benefit from the health policies on the contrary.

Variables:

Infection rate, recovery rate, death rate, testing rate are the variables to the cases of Covid-19. On the other hand, the number of cases is also a variable to the government policies, which directly influences the number of exposed.

The GDP is dependent on the variables of economic activities. Nonetheless, the government’s lockdown measure has also become the variable to the economic activities.

Interesting insights:

Government policies are effective to curb infection by reducing the number of exposed when the case number is greater than 10. The economy becomes stagnant when the case spikes up but it climbs up again when the number of cases is under control.

Sample Model of COVID-19 outbreak in Burnie Tasmania by Yim Fong Ng (544885)

Chrissie Ng

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

meng

The economy is a self-organizing system that needs continuous growth and a constant inflow of energy and materials in order to maintain itself. Absence of growth will make the system fragile, and economic contraction could lead very quickly to its collapse. These are characteristics of dissipative systems that apply to the free market economy. Another characteristic is that economic activity will unavoidably lead to the generation of waste heat, greenhouse gases and waste materials that the system must expel into its environment, making the system unviable in the present context of global warming and increasing oil prices.

The simplified graphic representation of the economy shows how it is basically profits that generate the funds for the resources needed to guarantee that the system can continue to grow. Loans do not fulfil this function, since loans must be repaid from profit and credit institutions will be reluctant to extend loans if they fear their profits are endangered by the inability of creditors to generate enough income to meet interest payments. So the system depends on private companies and blind market forces. However, society can no longer rely on a system that is blindly guided by the profit motive and that is to a large degree responsible for much of the environmental problems that now afflict us. The system cannot continue in its present self-reinforcing growth mode. Governments can and must step in to fulfil their responsibility and fundamentally reform a system that has become harmful and that is driven exclusively by profit.

The profit motive leads to an unsustainable situation and government intervention.

Hanns-Jürgen Hodann

Adapted from Fig 12.1 p.476 of the Book James A. Forte ( 2007), Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice; Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Economic Theory Map

Geoff McDonnell

Economic

Carlos Daniel Silva Rosa

WIP Clone of Conceptualizing Capitalism Insight to summarise Thorstein Veblen's writings on the Nature of Capital and other Institutional economics concepts

Veblen Nature of Capital

Geoff McDonnell

4

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

Lab 13 Start

Gabe Bowen

232

This page provides a structural analysis of POTUS Candidate Rand Paul's economic policy based on the information at: https://www.randpaul.com/issue/spending-and-debt and also https://www.randpaul.com/issue/taxes 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 Rand Paul Economic Policy

Steve Wallis

WIP Dynamic map from Steve Keen's Minsky at 100 Lecture video and slides and later Emergent Macroeconomics papers

Minsky Instability from Macrodefinitions Keen

Geoff McDonnell

Cornerstore Economic Model

Michelle Molskow

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.

Clone of Simple Climate-Carbon-Economic Model

Ana Belén Ríos CArmona

Extended from Im-628 Supply and demand by adding control folder.

See also Managing Health Services Use IM-17566

Based on JHPPL 2015 article Note here the framing is an economic exchange rather than a public service (needs-services-resources) or capabilities

Neoliberalism and health policy

Geoff McDonnell

Causal loop representations of macroeconomics taken from the System Dynamics literature contrasted with Forrester's main analysis of social and business organization layers See also Saeed's Forrester Economics IM-183285

Macroeconomics causal loop diagrams

Geoff McDonnell

7 9 months ago

Childhood Obesity, Reception Age, Early Years Intervention

Childhood Obesity

Gbenga Olatunde