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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
  • Housing status
  • How much money a person earns
  • Discrimination and social support
Determinates of a healthy population
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Ecological economics
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Landwirtschaftliche Dürre Österreich
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Cornerstore Economic Model
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WIP concepts from Rachel Turner's Book Neo-liberal Ideology
Neoliberal concepts
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The model takes into account clothing production and textile waste on a global scale while incorporating Vancouver's own "Fast Fashion" issue into the model.

Please refer to the notes for each variable and stock to see which links were hidden from the model.
Fast Fashion ISCI 360
592
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Better Business - Economic
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
normL
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Figs 1 and 2 of David HArvey's Companion to Marx's Grundrisse illustrating the circulation of money and value in capitalism, dubbed as "value in motion" Also Waterstone and Chomsky Consequences of Capitalism Book
Marx and Circulation of Capital and Money
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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.

Clone of REM 221 - Causal Loop diagramming
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Overview
The model simulates how logging in with tourism(mountain biking) in Derby Tasmania.
How the model works.
Trees grow, loggers cut them in order to sell them because of demand for Timber.
Mountain cyclist depends on satisfaction and expectation.  Satisfaction and Expectation depends on Scenery number of trees compared to visitor and Adventure number of trees and users.  Park capacity limits the number of users.  Local Business is influenced by the timber and number of Mountain Cyclist. Employment is influenced by the number of mountain cyclist and logging activity.

Simulation of Mountain Cyclist vs logging
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From a March 2016 blog entry by Ari Andricopoulos
The economy simply explained
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this model shows the relationship between economic growth and government debt (just the bailout debt) and the mortgage default burden. At the current rates, the debt will never be paid off.
bailout debt, mortgage defaults and economic growth
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An initial study of the economics of single use coffee pods.
Nina Coffee Company Model *
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My Insight_ENVS8019 report 5 exercise
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economic inequality
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
GEO4315 Final Project Evgeny Bogopolskiy
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Ocean/atmosphere/biosphere model coupled to economics-based simulations from Y2k on.
Lab 13 Finish
7 4 months ago
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lab 13 Social and economic
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Base_economics
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Business Economic Sustainability
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This is a complex model of COVID-19 outbreak in Burnie Tasmania. It show the effect of government policy to local economic and the impact of Covid-19. 

Assumptions
Government policy can reduce the number of infected, however also would reduce the economic growth. 

Interesting insights
Based on changing the value of government policy, it show that the policy can help to reduce on the number of death and infection. 

Covid-19 Out break
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OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

OVERSHOOT GROWTH INTO TURBULENCE