It is 2017, and you work for a prestigious management consultant firm whose client is a large
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Between 2010-2013, the farm-raised yellow perch market was stable. However, in 2013 an unexpected exogenous shock occurred that affected prices and quantities in the market. You don't know much about the details of the industry, and since the industry is not covered extensively in the press, it is hard to find articles on the Web about what happened to the industry. From talking to the client, you learn that the shock might have had something to do with either a change in the market demand for yellow perch or a change in the price of corn (which affects the price of perch feed). But you do not know for sure, nor do you know whether the shock was a permanent change or merely a temporary one. However, you do have data (obtained from the client), shown in the table below, on yellow perch prices, market demand, quantity supplied, and the number of producers. The data pertains to 2010-2013, 2014 (within one year of the shock), and 2016 (three years after the shock). You also know (from the client) that yellow perch farms are virtually identical, with U-shaped long-run average cost curves. You also learn from the client that the minimum efficient scale of a typical yellow perch farm occurs at a rate of production of about 1,000 pounds per month (and this is unaffected by changes in the prices of key inputs such as feed or labor).
(a) Based on the data in the table, what type of shock most likely explains the evolution of the yellow perch farming industry from 2010-2013 to 2016?
(b) How would your answer change if the number of active yellow perch farms in 2016 was 100?
(c) How would your answer change if the data in the table looked like this?
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Social Media Marketing A Strategic Approach
ISBN: 978-0538480871
1st edition
Authors: Melissa Barker, Donald I. Barker, Nicholas F. Bormann, Krista E. Neher
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