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In this part we analyze the Maine lobster industry during 1940-1976 on the basis of its revenue. If we assume a constant price per pound of lobster (after adjustment to the dollar value in the base year of 1967), then the revenue is essentially proportional to the catch. According to data in Reference [9], the price received directly by the lobstermen was $0.825 per pound, which converts to $1820 per metric ton. Thus, the revenue in thousands of dollars is 1.82 H.
However, we need to express revenue in the equilibrium situation as a function of effort, not just catch. Recall from Part 5.6 that you found a formula for the equilibrium catch H as a function of effort E, namely,
Thus, the equilibrium revenue R, as a function of effort, is
The economic health of the lobster industry can be measured crudely by comparing revenue with costs. These costs are essentially proportional to the level of effort exerted by the industry. Based again on Reference [9], we model costs by C(E) = 22E.
To be more precise, we are modeling the economic notion of opportunity costs: the total cost of resources (e.g., labor and capital) employed in lobstering, as measured by the most lucrative alternative uses to which these resources could have been put. Such costs include the actual costs of fuel, gear, and supplies, but in addition include interest and depreciation on capital. Even the "wages" of the lobstermen themselves must be included, where "wages" mean the money that could have been earned in alternative employment rather than the actual wages received from lobstering.
The reason for considering opportunity costs is quite straightforward. If revenues exceed opportunity costs, then lobstering will remain economically attractive. However, if opportunity costs exceed revenues, then alternative forms of employment will become more desirable, and lobstering will not be economically attractive.
Needless to say, opportunity costs are difficult to quantify precisely. Our cost function is a crude approximation based on the 1967 data in Reference [9], adjusted for all the factors listed above. But you should take all the predictions of this function with a (large) grain of salt.
From the purely economic viewpoint, the top of the revenue-effort curve is not the most advantangeous location. The lobster industry would be best off at the location which maximizes their economic rent, i.e., the revenue minus the opportunity costs. This is called the position of maximum economic yield (MEY), and the corresponding effort is denoted EMEY.
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modules at math.duke.edu | Copyright CCP and the author(s), 1999 |