Newsletter TOC CCPRP NICPRE NEC 63
NICPRE QUARTERLY
A newsletter from the National Institute for Commodity Promotion Research and Evaluation on program evaluation and related issues
Vol. 7 No. 3
Third Quarter 2001

CONTENTS

An Economic Evaluation of Generic Egg Advertising by the American Egg Board

Director’s Column

Next Meeting


Special Cash Opportunity


NEC-63
2002 Next Meeting

March 21-22, 2002

Albuquerque,
New Mexico


Allocation Issues in
Check-off Programs

An Economic Evaluation of Generic Egg Advertising
by the American Egg Board

by Todd M. Schmit and Harry M. Kaiser
(Cornell University)

Since 1976, U.S. egg producers have paid a mandatory assessment to finance the national egg promotion program operated by the American Egg Board (AEB). In 1994, producers voted to increase this assessment from 5 to 10 cents per 30-dozen case of shell eggs marketed, and to raise the producer exemption level from 30,000 to 75,000 laying hens. Prior to 1990, media advertising expenditures constituted no more than 10% of checkoff dollars, while nearly 40% was spent on research and education. Since then, emphasis has shifted to advertising, where the percentage of checkoff dollars devoted to advertising has exceeded 50%. In 1999, checkoff revenues were approximately $18.3 million, with $10.6 million devoted to egg advertising.

The generic advertising program is aimed at increasing consumer consumption of shell eggs and egg products, and thus, indirectly, supporting producer egg prices. This goal has been especially acute as society in general has increased its focus on maintaining a healthy diet and how dietary cholesterol concern affects that diet. While past efforts were focused on mitigating the negative effects of consumer health concerns, more recent strategies have focused on convenience and the nutritional value of eggs. The ultimate economic impacts of the advertising program depend on the level of demand-induced shifts resulting from the advertising program, as well as the price responsiveness of both consumers and producers in the egg market; i.e. slopes of the derived demand and supply functions.

A historical perspective of consumer demand and producer prices can be gleaned by examining Figure 1. There are two trends that have occurred in per capita consumption since the mid-1980s. Up to 1991, per capita consumption of eggs was steadily decreasing due to the barrage of negative publicity concerning dietary cholesterol and its link to heart disease. However, since 1991, per capita consumption has been on the upswing with large gains emerging after 1997. It was during this period of time that there was a substantial increase in publicity indicating that eggs could be part of a heart-healthy and nutritious diet. Producer egg prices have not surprisingly followed a similar pattern. Egg prices declined quite significantly and consistently over this period up to 1991. Since 1991, egg prices have been relatively stable with some upward trend. An econometric analysis will allow us to differentiate the effects of the AEB advertising efforts in relation to the total variation in these series.

Figure 1 U.S. Quarterly per capita egg consumption and farm-level prices.

The primary objective of this project was to measure the economic impact of the AEB’s advertising efforts on sales volume and price of eggs in the United States, and to determine the net economic benefits for egg producers funding the program. This project was carried out as part of the requirement under the 1996 Federal Agricultural Improvement and Reform (FAIR) Act, which requires all federal marketing orders operating promotion programs to have an economic evaluation conducted to ascertain the extent of their impact on the market.

Our study addressed four important questions designed to ascertain the effectiveness of the AEB’s generic egg advertising program.

First, what is the responsiveness of U.S. egg demand with respect to the AEB’s generic egg advertising? To answer this question, we estimated a per capita demand equation for eggs in the United States and computed the corresponding “advertising elasticity.” The advertising elasticity measures the percentage change in per capita demand given a one-percent change in AEB advertising expenditures, holding constant all other factors affecting egg demand. As such, it provides an isolated measure of the impact of AEB advertising on per capita egg demand. Statistical tests were performed to determine whether or not the advertising elasticity was positive and statistically different from zero.

Second, what is the impact of AEB advertising on producer egg prices? While increasing egg demand is a necessary condition for advertising to be profitable for egg producers, it is not a sufficient condition. In order for generic egg advertising to have a positive impact on industry profit, it is also necessary that advertising results in an increase in the producer egg price by an amount that is sufficient to offset the increase in cost associated with the checkoff program. To answer this question, we used the following methodology. An egg producer supply equation, wholesale demand equation, and farm-to-wholesale price-transmission equation were estimated and used to simulate market prices and quantities under two scenarios reflecting alternative advertising levels by the AEB. The first simulation was a baseline scenario, which was reflective of historical advertising levels by the AEB. The second scenario simulated market conditions assuming no AEB advertising. By comparing the results of these two scenarios, one can determine the average impact of AEB advertising on producer egg prices.

Third, how does the gain in revenues due to AEB’s advertising compare to the costs of advertising? To answer this question, we computed an average benefit-cost ratio (ABCR) for the AEB advertising program. An ABCR is equal to net industry benefits from AEB advertising divided by industry costs of AEB advertising. The benefits to egg producers of generic egg advertising were measured as the net increase in producer surplus (i.e., an economic measure similar to industry profits) over the study period due to the AEB advertising program. The costs to producers were the AEB advertising expenditures over this period. The ABCR, which is also known as the average rate of return on investment, is useful since it provides a bottom-line measure of the average returns (in dollars) to the U.S. egg industry for every dollar invested in advertising.

Finally, what would the gain in revenue be for an additional dollar invested in AEB’s advertising? To answer this question, we computed a marginal benefit-cost ratio (MBCR) for the AEB advertising program. A MBCR is equal to the net change in industry benefits divided by the change in industry costs resulting from a small (e.g., one-percent) change in AEB advertising. The change in benefits to egg producers of generic egg advertising was measured as the net change in producer surplus over the study period due to a marginal increase in advertising. The change in costs was measured as the incremental increase in advertising costs resulting from a one-percent increase in historical AEB advertising levels. The MBCR, which is also known as the marginal rate of return on investment, is useful since it provides a bottom-line measure of the returns (in dollars) to the U.S. egg industry for each additional dollar invested in the advertising program and thus can be used as a rational for evaluating if current spending levels are appropriate. If the objective of the generic advertising program is to maximize net returns to producers, then the level of advertising should be set at the point where marginal returns are equal to the marginal costs. From an economic perspective, if marginal returns exceed marginal costs, then increasing the current level of expenditures should increase producer net returns.

In order to determine the market impacts of generic egg advertising in the U.S. by the AEB, an econometric model of the national egg industry was developed based on quarterly national market data from 1988 through 2000. The model consists of a farm-level egg supply equation, a wholesale per capita egg demand equation, and a wholesale price markup equation. Farm supply was modeled as function of producer egg price, feed price, lagged supply, and seasonality variables. Variables affecting demand included price, per capita income, substitute product prices (i.e., a price index of cereal and bakery products), a cholesterol awareness index, seasonality variables, and generic advertising. The impact of advertising is captured in the model by inclusion of generic egg advertising expenditures in the wholesale demand equation for eggs. Current, as well as lagged, generic egg advertising expenditures by the AEB were included to account for delays in the demand response to advertising. If advertising is successful in increasing the demand for eggs, this is reflected in the model by a positive and statistically significant advertising elasticity, which measures the percentage increase in per capita egg demand given a one-percent increase in egg advertising. The price linkage (or markup) equation related wholesale price to producer price, processor wage rates, and seasonality variables.

The impact of egg advertising on farm prices is also measured by taking into account the extent of the increase in demand, and the farm supply response due to the increase in price generated by advertising. The econometric model was used to simulate the impact on wholesale demand, producer prices, and producer surplus of the alternative advertising scenarios described above.

The main conclusions of the analysis with respect to AEB advertising program were:

  • AEB advertising had a positive and statistically significant impact on per capita egg demand. The estimated advertising elasticity was 0.003, indicating that a one-percent increase in AEB advertising would cause a 0.003 percent increase in national per capita egg demand. While this level of response seems small, it is important to remember that advertising expenditures are small relative to the value of farm production. Over the time period evaluated advertising expenditures were only about 0.2% of the value of farm production.
  • Had there been no AEB advertising from 1996-2000, commercial egg disappearance would have been 165 million dozen eggs (33 million dozen per year) lower than it actually was.
  • In the absence of AEB advertising, the decrease in egg demand would have resulted in a producer egg price that was 1.7 cents per dozen lower on average than it actually was.
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