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This causal loop diagram illustrates the interconnected factors affecting the economic empowerment of Congolese refugee women in Rwanda, with economic dependency as the central problem reinforced by limited access to vocational training, employment opportunities, and financial services. The diagram shows two key reinforcing loops: one where vocational training leads to employment and income generation, which reduces dependency and improves access to further training (R1), and another where income generation builds self-confidence and skills recognition, leading to better employment opportunities (R2), while language barriers and cultural constraints act as inhibiting factors throughout the system.

Causal Loop Diagram: Economic Empowerment of Congolese refugee women in Rwanda.

Christine

8 months ago

I made this diagram to illustrate a text in the Regenerative Economics textbook.

House prices expectations

Henny van Dongen

WIP Summary of Davies 2017 article from special Theory Culture and Society issue on Elites and Power after Financialization

Elite Power under Advanced Neoliberalism

Geoff McDonnell

In this Insight I focus on the demand site of the Market and Price model, leaving the supply side out.

Demand factors

Henny van Dongen

This seeks to model increasing improvements in long run economic growth potential as the education level increases.

LR Economic Growth

Coby Joseph

This is a first attempt to illustrate the interconnected nature of the economic assets of Roswell - Chaves County

RCC economic model

Jens Deichmann

Georgism

FranchuFranchu

4 weeks ago

Community Economic Impact

Matthew Owen Deters

Olympic Money Pit. Economic Impact Model

Anthony Bathiche

This model is made to illustrate the components that impact profitability on a basic level.

Profit maximizing

Henny van Dongen

Economic Simulation

Adrian Tough

EcoCinco_Deforestation_Land Changes

FU CHUANBAO _

2 months ago

Crusoe economics test

richardvdlinde

A single resource is used with a constant rate and converted into products in use. After a while, these products become unusable because of aging. The recycling of these unusable products is imperfect, thus the amount of not recyclable resource grows (until a better recycling process is invented).

Resource 1

Mario

Business Economic Sustainability

Phebe Rutledge

System Zoo Z409 Fishery dynamics from Hartmut Bossel (2007) System Zoo 2 Simulation Models. Climate, Ecosystems, Resources

Fishing is a classic example for use of a renewable resource. Unless overfished, fish populations If is hardly by fishing, then the fish population will persist at a constant size corresponding to its specific ecological envi ronment If the stock is overfished, the juvenile generation becomes too small to fully replace the adult generation. If overfishing continues. the population cannot recover and will collapse in short time. Even if fish catch stops now/, it could take decades until the fish population recovers to its original size if it hasn't become extinct meanwhile. In many of the world overtlshing has led, and still leads, to the complete collapse of formerly huge tlsh populations: herring in the North Sea, codtlsh in the Northern Atlantic. tuna, whales to name only a few. With the collapse of fish stocks came the collapse of the t1shing industry in many regions. Employment and

incomes disappeared: whole regions (like Newfoundland) lost their economic base.

REM 221 - Z409 Fishery dynamics

Steve Conrad

29

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

BAM economic model

Marek Kalnik

This model attempts to illustrate a Strong Towns' perspective of municipal financing of our communities based on a development Growth Ponzi Scheme. http://www.strongtowns.org/the-growth-ponzi-scheme/

The communal economic investment by the community to help generate future economic prosperity and improve the community's quality of life.

If the community generates greater economic prosperity as a result of the Near Term Cash either directly through increased Municipal Revenue or indirectly through the enhancement of Community Wealth Generators and Place Making improvements within the community then it is a desirable investment.

If, however, it leads to ever increasing debt and the chasing of outside investments with the community as the means of collateral then it is a Growth Ponzi Scheme and the community needs to create some new paradigms to find a different path.

Ponzi Growth Scheme Strong Towns

Brian Dowling

Description:

Model of Covid-19 outbreak in Burnie, Tasmania

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.

Parameters:

We set some fixed and adjusted variables.

Covid-19 outbreak's parameter

Fixed parameter: Background disease.

Adjusted parameters: Infection rate, recovery rate. 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.

BMA708_Assignment 3_Nguyen Dang Khoa Vo_520272_COVID-19 outbreak and Burnie economy

NGUYEN DANG KHOA VO

This page provides a structural analysis of POTUS Candidate Mike Huckabee's economic policy based on the information at: http://www.mikehuckabee.com/tax-reform and http://www.mikehuckabee.com/spending-debt (here, the candidate did not have a single clear economic policy, so we used economic elements from other policy statements that were clearly relevant). 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 Mike Huckabee Economic Policy

Steve Wallis

Economic Model - Final Project

Christy Maynard

Overview of Part E Ch 20 to 24 of Mitchell Wray and Watts Textbook see IM-164967 for book overview

Economic policy in an open economy

Geoff McDonnell

8

The relationship, as described in the model Influence and Concern, insightmaker.com/insight/22757/Influence-Concern can be flipped when speaking of institutions of political or economic power. A government institution may have a great deal of power, though not necessarily understanding, over a system but little Concern as to its particular outputs or lack of outputs.

Influence & Concern in the Face of Power

Brian Dowling