| TUE 11:30 AM Parallel Session: Microeconomics |
Full Report: Tuesday morning brought with it Parallel Session 143 Macroeconomics with the following papers being presented:
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Kostas started (as an economist would) by pointing out that the impact of the performance measurement literature on system design literature is lacking. I am not sure who is not trying hard enough to make the interface happen. The problem statement was “As systems become more complex and time dependent, alternative methods for evaluating and optimizing system performance need to be explored.” He clarified his statements with a behaviour over time graph (fig 1), a utility curve (fig 2) and a system dynamics model (fig 3). Attendees left armed with a definition of Dynamic Productive Efficiency – a measure of a system’s ability to convert inputs into outputs at a specific time t, during a transient period, such that either the largest possible outcome is achieved given a fixed set of inputs (maximization principle), or the least possible inputs are employed given a fixed set of outputs (minimization principle). There are many possible transition paths |
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Fig 3 |
In summary, economics and system dynamics have a lot to offer each other. The Dynamic Productive Efficiency Model provides a roadmap as to how to best to navigate transitional periods. We have to reduce average energy consumption for habitation purposes from 1700 to 700 Watts per capita over the next 150 years. |
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There are short term and long term dynamics. |
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Silvia also made use of Roger’s Adopter Categories, as well as some technology transition process timings and social norms to explain why it will take so long to reach CO2 targets. It seems that only fuel cell or other zero emission vehicles have the capability of reaching the EU reduction targets. These technologies are still not able to be mass produced. The fact that social norms create lock-in effects means that it is likely that there will have to be some intermediate technology between Petrol and Fuel Cell Vehicles. |
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You need to get the early adopters on board. |
It may take about 50 years to get an 85% take up of a
new technology. |
Mark Heffernan |