scholarly journals Modeling myopia: Application to non-renewable resource extraction

2013 ◽  
Vol 66 (2) ◽  
pp. 95-104
Author(s):  
Tomoki Fujii
Keyword(s):  
Renewable Resource ◽  
Resource Extraction

scholarly journals Evaluating the Effectiveness of Ontario’s 2005 Greenbelt Plan at Preserving the Protected Countryside from Urbanization and Non-Renewable Resource Mining

2021 ◽  
Author(s):  
Jessie Smith
Keyword(s):  
Urban Sprawl ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Renewable Resource ◽  
Resource Extraction ◽  
Mining Operations ◽  
Agricultural Resources ◽  
Combat Climate Change ◽  
Land Changes ◽  
Aggregate Resource

Conservation has been widely discussed as the best way to combat climate change and environmental degradation. A cornerstone of conservation is Sustainable Development, which involves mitigating the damage of urbanization and urban sprawl, and the resulting loss of agricultural resources. In response, Ontario developed the Greenbelt Act in 2005 to ensure that Ontario’s Agricultural Land base was protected from urbanization and development. This study analyzed land use change within the Greenbelt’s Protected Countryside, to determine if the lands were protected during the implementation of the Greenbelt Plan (2005 -2017), and the ten years prior without Greenbelt policy in effect. Using remote sensing change detection applications, it was determined that residential expansion within settlement areas, and aggregate mining operations within the Protected Countryside contribute to urban expansion and loss of prime agricultural land. Changes in aggregate resource extraction policy are recommended to reduce the use and reliance of virgin aggregate in Ontario.

scholarly journals On the Estimation of the Initial Stock in the Problem of Resource Extraction

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3099
Author(s):  
Anna Tur ◽  
Ekaterina Gromova ◽  
Dmitry Gromov
Keyword(s):  
Differential Game ◽  
Value Of Information ◽  
Renewable Resource ◽  
Simple Rule ◽  
Resource Extraction ◽  
Optimal Estimate ◽  
Case Scenario ◽  
Worst Case ◽  
Worst Case Scenario ◽  
Resource Stock

We consider a differential game of non-renewable resource extraction, in which the players do not know the precise value of the resource stock and, thus, have to make an estimate. We define the value of information about the initial stock and give recommendations for the choice of the estimate depending on the parameters of the problem. Further, we consider the situation where the players only know the bounds for the stock of the resource and solve the problem of computing the optimal estimate, such that it minimizes the players’ losses in the worst-case scenario. The analysis allows us to give a simple rule for the choice of the optimal estimate of the resource stock.

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