東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Fishery management under uncertainty.

Sethi, Gautam.

Linked to FindBook

Google Book

Amazon

博客來

Fishery management under uncertainty.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fishery management under uncertainty./
Author:	Sethi, Gautam.
Description:	86 p.
Notes:	Co-Chairs: Anthony Fisher; Michael Hanemann.
Contained By:	Dissertation Abstracts International62-07A.
Subject:	Agriculture, Fisheries and Aquaculture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3019799
ISBN:	0493310231

Fishery management under uncertainty.
Sethi, Gautam.

Fishery management under uncertainty. - 86 p.

Co-Chairs: Anthony Fisher; Michael Hanemann.

Thesis (Ph.D.)--University of California, Berkeley, 2001.

Explanations of worldwide fishery collapse are numerous. There is general consensus that variability and uncertainty play important roles. The economics literature that has followed the work of Simon (1956) and Theil (1957) has indicated that under certain model structures one need not really worry about stochasticity. On the other hand, Clark and Kirkwood (1986) show that the optimal management of a fishery with stock uncertainty calls for non-monotonic and non-intuitive expected escapement. This state-of-the-art result is presented in an obscure fashion by the authors. The following analysis re-derives these results from first principles in a clear and transparent manner and also develops their analytical properties. It is shown that the probability of extinction <italic>increases</italic> in expected recruitment under certain conditions. Some of the results obtained depend on model specification; in particular, it matters whether the variance of recruitment is independent of its expectation. If uncertainty enters the model additively instead of multiplicatively, optimal expected escapement is <italic>constant</italic> in expected recruitment.

ISBN: 0493310231Subjects--Topical Terms:

1020913
Agriculture, Fisheries and Aquaculture.

Fishery management under uncertainty.
LDR:03103nam 2200301 a 45 001 929031
005 20110427
008 110427s2001 eng d
020 $a 0493310231
035 $a (UnM)AAI3019799
035 $a AAI3019799
040 $a UnM $c UnM
100 1 $a Sethi, Gautam. $3 1252516
245 1 0 $a Fishery management under uncertainty.
300 $a 86 p.
500 $a Co-Chairs: Anthony Fisher; Michael Hanemann.
500 $a Source: Dissertation Abstracts International, Volume: 62-07, Section: A, page: 2505.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2001.
520 $a Explanations of worldwide fishery collapse are numerous. There is general consensus that variability and uncertainty play important roles. The economics literature that has followed the work of Simon (1956) and Theil (1957) has indicated that under certain model structures one need not really worry about stochasticity. On the other hand, Clark and Kirkwood (1986) show that the optimal management of a fishery with stock uncertainty calls for non-monotonic and non-intuitive expected escapement. This state-of-the-art result is presented in an obscure fashion by the authors. The following analysis re-derives these results from first principles in a clear and transparent manner and also develops their analytical properties. It is shown that the probability of extinction <italic>increases</italic> in expected recruitment under certain conditions. Some of the results obtained depend on model specification; in particular, it matters whether the variance of recruitment is independent of its expectation. If uncertainty enters the model additively instead of multiplicatively, optimal expected escapement is <italic>constant</italic> in expected recruitment.
520 $a Roughgarden and Smith (1996) argue that in the presence of the following three sources of error—variability in fish dynamics, inaccurate stock size estimates, and inaccurate implementation of harvest quotas—adhering to the deterministic policy can quickly lead to extinction. However, they limit their analysis to a special class of solution and do not locate the optimum policy. The analysis below develops a bioeconomic model with these three sources of error, and solves for optimal harvest announcements bawd on measurements of fish stock in a discrete-time model. Among other results it is shown that: (1) when errors are large, the constant-escapement rule advocated by much of the existing literature is generally rejected, (2) inaccurate stock estimation affects policy in a fundamentally different way than the other error sources, and (3) when existence value is included, management is significantly more conservative, substantially increasing stock viability through time.
590 $a School code: 0028.
650 4 $a Agriculture, Fisheries and Aquaculture. $3 1020913
650 4 $a Economics, Agricultural. $3 626648
690 $a 0503
690 $a 0792
710 2 0 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 62-07A.
790 $a 0028
790 1 0 $a Fisher, Anthony, $e advisor
790 1 0 $a Hanemann, Michael, $e advisor
791 $a Ph.D.
792 $a 2001
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3019799