Dynamic Programming Models of Fishing: Competition.
This article focuses on the study regarding the case of free-entry competition. It is natural to consider the stock of any renewable resource as a capital stock and treat the exploitation of that resource in much the same way as one would treat accumulation of a capital stock. Three issues which hav...
| Publicado en: | American Economic Review Vol. 71; no. 4; pp. 649 - 662 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Economic Association
Sep81
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=4502365&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 4502365 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00028282 AER jtl: American Economic Review issn: 00028282 maglogo: N pubinfo: dt: Sep81 vid: 71 iid: 4 pid: 22 pub: American Economic Association artinfo: ui: 4502365 ppf: 649 ppct: 13 formats: tig: atl: Dynamic Programming Models of Fishing: Competition. aug: au: Levhari, David Michener, Ron Mirman, Leonard J. affil: Hebrew University University of Virginia University of Illinois and Northwestern University su: Competition Dynamic programming Capital stock Stocks (Finance) Resource allocation Economics Prices Planning sug: subj: Competition Dynamic programming Capital stock Stocks (Finance) Resource allocation Economics Prices Planning ab: This article focuses on the study regarding the case of free-entry competition. It is natural to consider the stock of any renewable resource as a capital stock and treat the exploitation of that resource in much the same way as one would treat accumulation of a capital stock. Three issues which have been raised only tangentially are important for the understanding of the economics of renewable resources. The first section analyzes the time path of prices, output, and resource stock under the assumption of free-entry competition, and the second section studies optimal planning. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1981 holdings: @attributes: islocal: N |
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