The Economics of Commodity Promotion Programs
The Economics of Commodity Promotion Programs

Author: Harry Mason Kaiser

Publisher: Peter Lang

Published: 2005

Total Pages: 448

ISBN-13: 9780820472713

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Mandated agricultural commodity promotion programs - such as «Got Milk» - are highly visible, economically important, and controversial. In recent years, these programs have spent more than $1 billion on generic commodity promotion. They are authorized by producer referenda and funded using mandatory commodity taxes on producers and/or handlers. These programs have been the subject of much dispute and litigation, especially in California, which is home to a large number of them. This book takes a comprehensive look at the economic consequences and the resulting legal implications of commodity promotion programs in California, and distills the key consequences for similar programs on a national scale.

Commodity Advertising
Commodity Advertising

Author: Olan D. Forker

Publisher: Lexington Books

Published: 1993

Total Pages: 322

ISBN-13: 9780029104057

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The Economics of Commodity Promotion in the Hazelnut Industry
The Economics of Commodity Promotion in the Hazelnut Industry

Author: Jason D. Miller

Publisher:

Published: 2013

Total Pages: 106

ISBN-13:

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The objective of this study was to evaluate the effect of commodity promotion activities on the United States' hazelnut farmer's economic welfare. Commodity promotion activities, such as generic advertising and research, are the responsibilities of government mandated commodity commissions, such as the Hazelnut Marketing Board (HMB). The HMB is a state mandated cartel, organized under the Agricultural Marketing Agreement Act of 1937 (i.e. the Marketing Order) and amended in 1981, 1986, and 1989 (7 CFR Part 982, FR Doc. 81-14045 FR Doc. 86-18438, FR Doc. 89-26187). HMB promotion activities are funded by taxes levied on U.S. hazelnut farmers. To ensure that promotion provides a net benefit to these farmers this research uses Cost-Benefit Analysis (CBA) of the assessments under various assumptions about the market's conditions. A non-linear system of equations (SEM) with Monte Carlo simulation was utilized to produce these estimates.