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Classical Blockchain Economics

Peter Vermette

4 months ago

Barangay IRAWAN Systems Model

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

Sitti Mashita J. Kilis

วช

meng

The law of supply and demand is a basic economic principle that explains the relationship between supply and demand for a good or service and how the interaction affects the price of that good or service. The relationship of supply and demand affects the housing market and the price of a house.

A number of factors including government policy affects the law of demand and supply, which I hope my diagram illustrates

When there is a high demand for properties in a particular city or state and a lack of supply of good quality properties, the prices of houses tend to rise. When there is no demand for housing due to a weak economy and an oversupply of properties is available, the prices of houses tend to fall.

42988241 Leon Dhemba

Leon Dhemba

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

James Fitzsimons

WIP Summary of MIchael Hudson's Book Killing the Host: How Financial Parasites and Debt destroy the Global Economy

Killing the Host

Geoff McDonnell

4

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

Q4 Final Project w/ socio-economic

Claire Murley

DS- Gustave Ranis

Ana Cristina Beja

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

Laura Supple

6 months ago

Base_economics

Andrey Kuzmischev

Business Economic Sustainability

Phebe Rutledge

Wealth Inequality defined by System Dynamics.

SDWealth

shaun savage

Aviation_SSPS_2024_Degrowth

Luc Zeeuwen

4

DPSIR Framework to Analyze EcoPeace Middle East's Good Water Neighbours Strategy

Alistair Chean

Unfolding story based on Emery Roe's 2013 book Making the Most of Mess, revised in 2026. See also Dynamics in Action IM-3239 for more on behavior and The Art of the State IM-11962 for more on Grid-Group Cultural Theory

Managing Mess

Geoff McDonnell

4 2 weeks ago

This model shows the operation of a simple economy. It demonstrates the effect of changes in the fractional rate of consumption (or the converse the fractional rate of saving.)

In summary, lower rates of consumption (based on production) result in higher rates of production and consumption in the long-run.

Clone of Simple Economy: Model 8

Nickname

Overview:

The COVID-19 Outbreak in Burnie Tasmania shows the process of COVID-19 outbreak, the impacts of government policy on both the COVID-19 outbreak and the GDP growth in Burnie.

Assumptions:

We set some variables at fix rates, including the immunity loss rate, recovery rate, death rate, infection rate and case impact rate, as they usually depend on the individual health conditions and social activities.

It should be noticed that we set the rate of recovery, which is 0.7, is higher than that of immunity loss rate, which is 0.5, so, the number of susceptible could be reduced over time.

Adjustments: (please compare the numbers at week 52)

Step 1: Set all the variables at minimum values and simulate

results: Number of Infected – 135; Recovered – 218; Cases – 597; Death – 18,175; GDP – 10,879.

Step 2: Increase the variables of Health Policy, Quarantine, and Travel Restriction to 0.03, others keep the same as step 1, and simulate

results: Number of Infected – 166 (up); Recovered – 249 (up); Cases – 554 (down); Death – 18,077 (down); GDP – 824 (down).

So, the increase of health policy, quarantine and travel restriction will help increase recovery, decrease confirmed cases, decrease death, but also decrease GDP.

Step 3: Increase the variables of Testing Rate to 0.4, others keep the same as step 2, and simulate

results: Number of Infected – 152 (down); Recovered – 243 (down); Cases – 1022 (up); Death – 17,625 (down); GDP – 824 (same).

So, the increase of testing rate will help to increase the confirmed cases.

Step 4: Change GDP Growth Rate to 0.14, Tourism Growth Rate to 0.02, others keep the same as step 3, and simulate

results: Number of Infected – 152 (same); Recovered – 243 (same); Cases – 1022 (same); Death – 17,625 (same); GDP – 6,632 (up).

So, the increase of GDP growth rate and tourism growth rate will helps to improve the GDP in Burnie.

COVID-19 Outbreak in Burnie Tasmania - Lin Ling 523592