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My Insight_ENVS8019 report 5 exercise

Tilia

Fig 4. The Casual Loop Diagram of the Socio-Political and Economic Subsystems

Rony Zhu

EcoCinco_Deforestation_Land Changes

FU CHUANBAO _

9 months ago

Overview:

The model shows the industry competition and relationship between Forrestry and Mountain Bike Trip in Derby, Tasmania. The aim of the simulation is to find a balance between the co-existence of these two industry.

How Does the Model Work?

Both industries will generate incomes. Firstly, income is generated from the sale of timber through logging. In addition, income is also generated from the consumption of mountain bike riders. Regarding to the Forrestry industry, people cut down trees because there is a market demand for timber. The timber is sold for profits. However, the experience of mountain biking tourism is largely affected by the low regeneration rate of trees and the degradation of the environment and landscape due to tree felling. People have better riding experiences when trees are abundant and the scenery is beautiful. People's satisfaction and expectations depend on the scenery and experience. Recommendations of past riders will also impact the tourists amount.

Interesting Insights

The income generated by logging can provide a significant economic contribution to Tasmania, but excessive logging can lead to environmental problems and a reduction in visitors. Excessive logging can lead to a decline in tourism in the mountains, which will affect tourism. Despite the importance of forestry, tourism can also provide a significant economic contribution to Tasmania. The government should find a balance between the two industries while maintaining the number of tourists.

Simulation of Derby Mountain bikes versus logging

nicole

Fig 17.15 p700 Causal structure of commercial real estate markets of Case Study from John Sterman's 2000 Business Dynamics Book

Boom and bust in Commercial Real Estate

Geoff McDonnell

3

Ecological economics

Bertrand Nzomigni

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

Neoliberal concepts

Geoff McDonnell

Better Business - Economic

Hannah Hazewinkel

An initial study of the economics of single use coffee pods.

Claire - Coffee Pods ISD Humanities v 1.02

Claire Smith

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

normL

Ocean Tennant

3

Cornerstore Economic Model

Michelle Molskow

Ocean/atmosphere/biosphere model coupled to economics-based simulations from Y2k on.

Lab 13 Finish

Gabe Bowen

7 7 months ago

General Placeholder(s) Systems Model for a Free Internet Mesh Network System to be implemented in the Twin Towers, OH area.

Overall Systems Model

John Wernet

economic inequality

Vo Thi Hoang Anh

Final SSM Lionfish Management PT2 revised with Storytelling

ma509018

3 months ago

System Dynamics - Ludhiana

poorani balaji

Summary of UNEP ecosystems services CBA 2011 article by Wegner and Pascual

Value and cost benefit analysis

Geoff McDonnell

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

Lin Ling

3

Insight economical

Артём Хабибуллин

Business Economic Sustainability

Phebe Rutledge

Basic Economic Model

MB

2 months ago

Class Economics

Neon Schaf

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

Wing Ki Ng

State Goverment Fiscal Policy model

Eli Levine