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annotated bibliography of fisheries economics literature - Office of ...

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Time series procedures are employed to determine the influence <strong>of</strong><br />

technological change in inducing factor bias in U.S. agricultural production<br />

between 1948 and 1983. A dynamic measurement error model is used to link<br />

research expenditures to the unobserved technological change variable.<br />

Biasedness in labor and material factor shares is established.<br />

Lambert, David K. and Amin Ussif (1997). A Distance Function Approach to<br />

Multifactor Productivity Measurement in U.S. Agriculture. Presentation<br />

for the Western Agricultural Economics Association, Reno Nevada, July<br />

13-16, 17 pp.<br />

A new procedure is developed to derive estimates <strong>of</strong> productivity.<br />

Distance function values are calculated between observed netputs and a<br />

reference technology constructed by augmenting observed netputs for quality<br />

changes. MFP growth rates average around 2% over the postwar period.<br />

Discrepancies occur between the distance function estimates and traditional<br />

measures.<br />

Lambregts, Johannes A.D., Sayra G. Thacker, and Wade L. Griffin (1993).<br />

"Economic Evaluation <strong>of</strong> Different Densities for Various Sized<br />

Shrimp Farms in Texas." Journal <strong>of</strong> the World Aquaculture Society,<br />

24(1):12-22.<br />

There has been a trend toward intensification <strong>of</strong> shrimp farming in the<br />

U.S. Fifteen simulated farms were used to evaluate economies <strong>of</strong> scale and to<br />

compare three Penaeus vannamei commercial production strategies: semiintensive,<br />

intensive, and very intensive. Large economies <strong>of</strong> scale were<br />

associated with each production strategy. Over the range <strong>of</strong> farm sizes<br />

considered, investment cost per hectare decreased approximately 50% and<br />

production cost decreased approximately 25%. Farms' returns were measured<br />

with Internal Rate <strong>of</strong> return (IRR). When investment was greater than $0.75<br />

million, the intensive strategy provided slightly better returns to the<br />

investor than semi-intensive or very intensive strategies. At investment<br />

levels less than $0.75 million, the semi-intensive strategy provided the<br />

highest IRR.<br />

Lambregts, J.A.D., W.L. Griffin, R.D. Lacewell, J.T. Davis, and G.M.<br />

Clary (1993). "Estimated Costs and Returns for Catfish Farms With<br />

Recirculating Ponds Along the Upper Texas Coast." Journal <strong>of</strong><br />

Agriculture and Applied Economics, 25(2):1-12.<br />

Costs, returns, and economies <strong>of</strong> scale for small, medium, and large<br />

catfish farms with recirculating ponds are presented for the upper Texas<br />

coast. Internal rates <strong>of</strong> return are 0.150, 0.183, 0.219, respectively. Total<br />

investment is higher than farms with static ponds but investment per unit<br />

production capacity is 7 percent to 16 percent lower. Average total cost per<br />

pound is between $0.565 and $0.541 (11 percent - 20 percent lower than farms<br />

using current technology). These results have implications for regional<br />

comparative advantage <strong>of</strong> catfish production as well as incentive for adoption<br />

<strong>of</strong> new technology in conventional ponds.<br />

Lamkin, John Tillman (1984). A Study <strong>of</strong> the Galveston Bay Bait-Shrimp<br />

Fishery. Thesis, Wildlife and Fisheries Sciences, Texas A&M<br />

University, College Station, Texas, December, 79 pp.<br />

A study <strong>of</strong> the bait fish fishery in Galveston Bay, Texas and its impact<br />

on finfish bycatch. Monthly shrimp:finfish abundance rations ranged from<br />

6.4:1 to 1.5:1 with bait shrimp catch <strong>of</strong> brown and white shrimp. A total <strong>of</strong><br />

348,585 kg <strong>of</strong> finfish were caught in the Galveston Bay bait-shrimp fishery<br />

3 8 1

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