The main objective of this study was to estimate the demand for
and value of Oregon ocean sport-caught salmon fishery. The primary
technique employed to estimate the recreational demand was an
aggregated zone average travel cost method (TCM).
The willingness of an angler to pay was deduced from the
estimated demand for recreational fishing. The concept of consumers'
surplus was used in conjunction with the travel-cost based demand
functions to estimate the net economic value of Oregon ocean sport-caught
salmon. The net economic value computed for the pooled data
from all ten ports was found to be about $6.4 million. This value
was calculated based on the total travel cost per mile of one-way
distance equal to 72 cents.
The regional travel cost method (RTCM) was developed to measure
the effects of substitutes and quality variables in the travel cost
model. A system of a linear demand equations for the six larger
ports was estimated by the seemingly unrelated regression equation (SURE) method. The substitute distances as proxies for substitute
prices were found to be insignificant for this model. Likewise,
attempts to include substitute distances using indexes constructed by
the Principal Component analysis failed to give significant results,
with the exception of Garibaldi and Brookings. The total net
economic value for the regional travel cost model estimated by SURE
was $9.1 million.
The incremental value per coho equivalent was also assessed by
using the relationship between catch and effort per month by port.
The coho equivalent was constructed on the basis of average weights
of the commercial salmon catch, which was roughly two coho to one
chinook salmon. The weighted average incremental value per coho and
chinook was found to be $23.46 and $43.17, respectively. These
values were about 50 percent of their respective average values.
A total of 66 out of 234 distance zones created had zero values.
Tobit analysis was employed to efficiently estimate the recreational
demand from this kind of data. From the estimated demand function, a
net economic value of about $12.7 million was obtained. This value
was higher than those estimated by the SURE method and the OLS in the
simple model.
It should be noted that all the above value estimates were based
upon demand models that were not consistent with the theory of
consumer demand. However, a theoretically consistent system of
demand equations was estimated and presented in Appendix D. This
model fitted the data better than the other models and should give
more accurate estimates of consumer surplus. / Graduation date: 1989
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/26866 |
| Date | 30 November 1988 |
| Creators | Raja Abdullah, Nik Mustapha bin |
| Contributors | Brown, William G. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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