Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/6439
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Prof. YEUNG Wing Kay, David | en_US |
dc.date.accessioned | 2021-02-25T12:03:06Z | - |
dc.date.available | 2021-02-25T12:03:06Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | Journal of Optimization Theory and Applications, 2007, vol. 134, pp. 143-160. | en_US |
dc.identifier.issn | 00223239 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/6439 | - |
dc.description.abstract | This paper presents a cooperative differential game of transboundary industrial pollution. A noted feature of the game model is that the industrial sectors remain competitive among themselves while the governments cooperate in pollution abatement. It is the first time that time consistent solutions are derived in a cooperative differential game on pollution control with industries and governments being separate entities. A stochastic version of the model is presented and a subgame-consistent cooperative solution is provided. This is the first study of pollution management in a stochastic differential game framework. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Optimization Theory and Applications | en_US |
dc.title | Dynamically consistent cooperative solution in a differential game of transboundary industrial pollution | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1007/s10957-007-9240-y | - |
crisitem.author.dept | Department of Economics and Finance | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Economics and Finance - Publication |
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