Limits To Growth And Stochastics
The aim of this article is to use probabilistic ideas to study predictive reasoning based on hypotheses and models, but without using Ito calculus, without writing any stochastic differential equations, in fact without writing any formulas at all. The aim is to extract from the study of stochastic processes those qualitative traits that have significant philosophical implications for the political decision-making process. Indeed, we need to acknowledge that the impact of the economy on the environment is not a result of temperance or mitigation of natural variations but rather that the economy itself - in addition to the underlying trends due to growth - is a major source of perturbations arising from the random fluctuations in prices or values that are caused by the anticipations made by the agents. Consequently we need to understand the additional effects that randomness superimposes on arguments based on the finiteness of the world and its flows of energy.
|Date of creation:||20 Jun 2012|
|Date of revision:|
|Publication status:||Published, Real World Economics, 2012, 60, 92-106|
|Note:||View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00782948|
|Contact details of provider:|| Web page: http://hal.archives-ouvertes.fr/|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Graham M Turner, 2008. "A Comparison of the Limits to Growth with Thirty Years of Reality," Socio-Economics and the Environment in Discussion (SEED) Working Paper Series 2008-09, CSIRO Sustainable Ecosystems.
- Nick Hanley, 1992.
"Are there environmental limits to cost benefit analysis?,"
Environmental & Resource Economics,
European Association of Environmental and Resource Economists, vol. 2(1), pages 33-59, January.
- Nick Hanley, 1990. "Are There Environmental Limits to Cost Benefit Analysis?," Working Papers Series 90/6, University of Stirling, Division of Economics.
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