The housing market is heavily dependent on two main factors; supply and demand. Both play a major role in determining an equilibrium price for both sellers and buyers in the real estate market.
Residents, or the general population of individuals, place significant reliance on financial institutions to provide sources of capital i.e mortgages, to fund their purchases of homes. The rate of interest charged by these organisations in turn gives buyers (consumers) purchasing power, creating demand.
Supply is made up of the number of houses in the market, and consequently, of these, the number of houses which are up for sale. As the prices of houses for sale increases, the demand for purchase of these properties decreases. Conversely, the lower price, the higher the demand. Once the market reaches an equilibrium point, to which buyers and sellers form an agreement, houses are sold accordingly. An underlying factor to consider is the cost of construction, which impacts producers, or suppliers in this instance, and thus the number of homes for sale, and the expected profit sellers hope to achieve.
The simulated graph highlights the common scenario within the housing market, to which we see that as price increases, the total number for houses for sale decreases, generating an opposite slope to the price. As the price for houses increases, the demand for the houses decreases and vice versa. The equilibrium is evident at time 14 whereby the price of houses and the number of houses for sale overlaps which in turn creates a market to which both buyers and sellers are happy.
Clone of The effect of Supply and Demand on the Housing Market Assignment 3 (43323871)
Here I've translated the macoreconomic rule 'SPENDING = INCOME = OUTPUT, WHICH DRIVES EMPLOYMENT' into a negative feedback loop by adding an explicit goal of Output and Employment. As shown in 'Investment and Output 1', all the income earned has to be spent to maintain output and employment. Any shorfall in spending can be made up by any of the three sectors that contribute to total output. However, when spending/investment by the private sector is too small to maintain the required level of overall spending and the exports do not contribute enough to compensate for this shortfall then only the government can save the day through Net Spending, i.e. spending more than it collects in tax revenue. Taxation at any rate, according to Modern Monetary Theory (MMT) does not serve the purpose of financing spending but can be used legitimately to slow down an overheating economy. I have not taken into account 'structural reforms', which are often subject to the 'Fallacy of Composition' and of dubious value, at least in a recessive climate, according to MMT.
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.
This page provides a structural analysis of POTUS Candidate Jim Gilmore's
economic policy based on the information at: http://www.gilmoreforamerica.com/jims-growth-code/ 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
A clone of the Goodwin cycle IM-2010 with debt and taxes added, modified from Steve Keen's illustration of Hyman Minsky's Financial Instability Hypothesis "stability begets instability". This can be extended by adding the Ponzi effect of borrowing for speculative investment: http://www.jstor.org/stable/10.2307/4538470.
This model requires development and testing. Please contact the author if you are able to help.
Based on the Market and Price simulation model in System Zoo 3, Z504. I made some more intrusive changes that make the model more realistic, or more 'economic', in another version 'simplified and improved'.
Peak oil will occur when it is too expensive to
bring oil to the surface and not when reserves reach their limit. Companies
must make a profit to be able to extract oil and stay in the oil business. However, that endeavour is becoming more and
more difficult because of diminishing returns. They have to dig ever deeper to
get to the oil at ever increasing costs,
and the oil they find deep down is of a lesser quality. We have now reached a point where the price
needed by oil companies to make a profit and stay in business is far higher
than the price the market can bear. That
price is probably about $ 100 per barrel - and rising every year! A market
price o $ 100 will almost certainly cause a sharp recession and cause the price
of oil to fall back beyond the point of profitability. For example, the combined
profit of ExxonMobile, Chevron and Conocophillips fell from 80.4 billion in
2011 to only 3.7 billon in 2016 - see URL below. What the market can bear depends
on the spending power of the mass of non-elite workers. The CLD shows the negative
feedback loops that prevent oil prices to rise above the level of affordability. If non-elite workers cannot
afford the goods and services offered, then there will be no demand for them and by
extension for oil. In this situation the
market price will not the cover the cost that oil companies need to extract
oil. Oil supplies will decline and so will economic activity!
