Format:
1 Online-Ressource (circa 64 Seiten)
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Series Statement:
Policy research working paper 9159
Content:
The productivity of the world's natural resources is critically dependent on a variety of highly uncertain factors, which obscure individual investors and governments that seek to make long-term, sometimes irreversible investments in their exploration and utilization. These dynamic considerations are poorly represented in disaggregated resource models, as incorporating uncertainty into large-dimensional problems presents a challenging computational task. This study introduces a novel numerical method to solve large-scale dynamic stochastic natural resource allocation problems that cannot be addressed by conventional methods. The method is illustrated with an application focusing on the allocation of global land resource use under stochastic crop yields due to adverse climate impacts and limits on further technological progress. For the same model parameters, the range of land conversion is considerably smaller for the dynamic stochastic model as compared to deterministic scenario analysis. The scenario analysis can thus significantly overstate the magnitude of expected land conversion under uncertain crop yields
Additional Edition:
Erscheint auch als Druck-Ausgabe Cai, Yongyang Modeling Uncertainty in Large Natural Resource Allocation Problems Washington, D.C : The World Bank, 2020
Language:
English
Keywords:
Graue Literatur
DOI:
10.1596/1813-9450-9159
URL:
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