Southwest Business and Economics Journal/2010 Hormone Induced Milk and Product Labeling – Empirical Evidence from Kansas Kalyan (Kal) Chakraborty Emporia State University Abstract The study investigates the importance of mandatory labeling for hormone induced milk and milk products in the light of Senate Bill 595 passed by Kansas Legislature in December 2008. The study is based on an empirical research done by the author in 2005 using mail-in questionnaire survey data from Kansas households. The economic value of milk market segmentation based on mandatory labeling and consumers’ willingness to pay for hormone-free milk far outweighs voluntary labeling. The information on willingness to pay would help the dairy farmers to decide whether or not to adopt bST technology (a growth hormone for enhancing milk production in dairy cows) and its management practices to increase milk production. The empirical results show if the consumers are willing to pay a higher price for bST-free milk, social benefit would be maximized from mandatory labeling for milk and milk products. I. Introduction Mandatory labeling of Milk and milk products from cows treated with growth hormone (commonly know as bST, rbST, or rbGH) has been a debatable issue nationwide since FDA approved its use for milk production in 1994. Currently labeling milk and milk products is voluntary in the US. More and more U.S. consumers are demanding for more information on the content and characteristics of milk and milk products from mandatory labeling. Several states such as Vermont, Maine, Pennsylvania, Indiana, and New Jersey have introduced mandatory labeling. Similar bill is on the table in Ohio awaiting approval from its legislature. In December 2008 Kansas legislature passed Senate Bill-595 that would require any producer labeling their milk (voluntarily) as coming from cows free from artificial hormone need to include a disclaimer stating that the milk is not different from cows treated with hormone. For example, it will allow the producers of milk, milk products, and dairy products to claim on their product label, “this milk is from cows not supplemented with rbST” as long as the label contains a disclaimer statement, “the FDA has determined that no significant difference has been shown between milk derived from rbST-supplemented and no-rbST supplemented cows.” (KDA, 2008). The above regulation is effective from January 1, 2010, for all one-time use containers for milk and dairy products. This bill is far short of what the consumer associations, environmental groups, and animal activists in Kansas are demanding for – a mandatory labeling for all milk and milk products that use growth hormone. Consumers perceive bST-treated milk as unsafe and a health risk because of its unknown long term effect on human health. The objective of the current study is to evaluate the impact of Kansas Senate Bill595 on the use of growth hormone for milk production and review the results obtained from an empirical study done by the author using Kansas household’s data on the economic impact of mandatory labeling for milk and milk products (Chakraborty, 2006). A brief survey of the literature is provided in the next section followed by a discussion on the empirical study on willingness to pay by the Kansans for bST-free milk. The third section provides a discussion on the dataset and empirical results from the 29 Hormone Induced Milk and Product Labeling – Empirical Evidence from Kansas economic impact of mandatory labeling for bST-induced milk and milk products. The last section provides the summary and conclusions. II. Brief Review of the Literature Recombinant bovine somatotrophin (rBST or bST) is a growth hormone that occurs naturally in cows but is also produced by genetically altered bacteria in the laboratory. The US Food and Drug Administration (FDA) approved the product in 1994 for its use among dairy cows. The product was originally produced and marketed by the US biotech giant Monsanto in the commercial name of ‘Posilac’ but has been sold to Eli Lilly & Co. in August 2008. When injected into dairy cows every two weeks, it increases lactation by 15-20 percent and feed efficiency by 10-15 percent raising the profit per cow per year on average $100. Most of the scientific community such as, FDA, World Health Organization (WHO), American Medical Association (AMA), American Dietetic Association (ADA), and other US regulatory agencies concluded that milk produced from bST-induced cows are safe for human and animal consumption and allow voluntary labeling of such milk and milk products. However, over the past 16 years consumer associations and animal rights activists expressed strong opposition against the use of hormone for milk production. Independent researchers and critics say that the milk from bST-treated cows contains higher levels of a different hormone – insulin-like growth factor (IGF-1) which has been linked to an increased risk of cancer in people. Further, the use of hormone increases the risk of udder inflammation among the dairy cows (a disease called mastitis) which is treated with antibiotics causing high residue of antibiotics in processed milk (Hansen and Perry, 2008). A considerable number of studies in the literature found consumers are willing to pay a premium for bST-free milk and have expressed their intention to reduce milk consumption if bST-free milk is not available in the market. The National Marketing Institute’s 2006 Health & Wellness Trend Database found that 53 percent of primary grocery shoppers said they were looking for dairy, meat, and poultry product that are free from antibiotics (SFGate, 2007). In response to the growing consumer demand for bSTfree milk some of the major retailers in the US have stopped buying milk from dairy farmers and milk-cooperatives that use growth hormone. (i.e., Wal Mart, Dillions, Kroger, Safeway, Food-4-Less, Fred Meyer, Smiths, Starbucks Coffee, Save Mart’s Sunnyside Farms and Bayview Milk, and Ben and Jerry Ice Cream). According to the US Department of Agriculture, the number of dairy cows injected with bST nationwide had dropped from 22.3 percent in 2002 to 17.2 percent in 2007. In early 2008 the largest dairy cooperative in Michigan, Michigan Milk Producers Association, banned use of hormone for all its 1,515 dairy farmers in Southern Michigan. In January 2007, California Dairies’ Board voted to ask its members not to inject synthetic bovine growth hormone into their cows, if they do their milk had to be segregated and they will pay a surcharge. The vast majority of milk sold in Northern California is rbST-free. Several countries in the world banned the use of bST for milk production such as, Japan, Australia, New Zealand, Canada, and all 27 nations of the European Union. Codex Alimentarius, the United Nations main food safety body, twice decided that it could not endorse the safety of bST for human health. 30 Southwest Business and Economics Journal/2010 III. The Dataset and the Survey Results The consumer’s willingness to pay for bST-free milk was estimated by the author using survey data collected from 644 Kansans in 2002. A detail discussion on the dataset, questionnaire, and methodology is beyond the scope of this paper, hence, only the definition of the variables used to estimate the model is briefly discussed here. However, interested readers might consult Chakraborty (2005). The information obtained from the survey reported in Table 1 indicate that about 70 percent of the respondents have no knowledge on bST technology and 28 percent have some knowledge. Table 1: Definition and Descriptive Statistics of the Variables Used in the Model About 74 percent of the respondents strongly support in favor of labeling milk and milk products produced from cows treated with bST and 76 percent perceive bST produced milk and milk products are health risk. Initially, 38 percent of the respondents were unwilling to pay a premium, 26 percent were willing to pay a premium, and 36 percent were uncertain. However when these “uncertain” respondents were further exposed to a different set of questions including price discounts for bST-milk and premium for bST-free milk, 19 percent of the ‘don’t know’ respondents changed their 31 Hormone Induced Milk and Product Labeling – Empirical Evidence from Kansas decision in favor of bST-treated milk and 61 percent changed in favor of bST-free milk. After rearranging the respondents according to their willingness to pay the final percentage for each group in the entire sample turned out as this: 45 percent favored bSTtreated milk, 47 percent favored bST-free milk, and 8 percent still remained undecided. 1 IV. Consumer’s Willingness-to-Pay Model and the Empirical Results A binomial probit model for consumers’ willingness to pay for bST-free milk is estimated. Assuming Z i represents unobserved response variable which is determined by a vector of independent variables x i by the regression relationship: (1) Z i = β′xi + ε i where ε i ~ N (0,1) However, the unobserved variable Z i is related to a binary variable y = 1 if a respondent is willing to pay a premium for bST-free milk (yes), and y = 0, otherwise (no). Hence, Z i y = 1 if Z i > 0 is observable when y = 0, otherwise z 1 i −s2 / 2 Pi = Pr( y = 1) = Pr( Z i ) = e ds 2π −∫∞ (2) Where Z i is computed from the cumulative normal probability function where s ~ N (0,1) To obtain an estimate of Z i , the inverse of the CDF is used Z i = F −1 ( Pi ) = β′xi the parameters of β can be estimated by maximum likelihood method using the log likelihood function. Estimated coefficients from the Probit model are reported in Table 2. The coefficients on most of the variables, except for CHILD and AGE, have expected signs and are significant at 0.05 or 0.20 levels. Positive and significant coefficients on MILKLABEL and FOODLABEL imply that a consumer would most likely be willingto-pay a higher price if he/she strongly supports mandatory labeling on milk and milk products. Negative and significant coefficient on EDUCATION implies an increase in educational level would reduce the probability of a consumer’s willingness to pay for a higher price for bST-free milk. 32 Southwest Business and Economics Journal/2010 Table 2: Results from the Binomial Probit Model of Willingness-to-Pay An intuitive explanation for this might be that the consumers with more formal education probably have a better understanding of the true risk associated with bSTtreated milk. This suggests that more educated consumers would be less willing-to-pay a higher price for bST-free milk. The results are consistent with other willingness-to-pay studies in food safety literature (Wang et al. 1997; and Misra et al. 1991). The marginal effects for each independent variable, holding other variables at their mean, are reported in column 4 of Table 2. For example, the marginal probability on the variable EDUCATION is -0.1101 which implies that remaining all other things constant, a person with a college degree or higher would have 11.01 percent lower probability of buying hormone-free milk. In order to estimate the economic value (sum of consumer and producer surplus) from milk market segmentation, elasticity of demand for both bST-induced and bST-free milk was estimated from the respective demand curves. The empirical estimation of the demand curves are based on the following linear specification: Demand bST / non−bST = α + β1 Pr ice + β 2Child + β3 Family + β 4 Race + β5 Married + β 6 Edu + ε (3) Estimated coefficients of the demand equations using ordinary least square regression are reported in Table 3. The F statistics for both equations are significant although the coefficients of determination are low but reasonable considering most of the explanatory variables in this model are either binary or categorical and the data is crosssection. Most of the coefficients have expected sign and are significant, except for the coefficient on PRICE. One of the possible reasons for insignificant PRICE coefficient might be the aggregation bias. 33 Hormone Induced Milk and Product Labeling – Empirical Evidence from Kansas Table 3: Estimates of Linear Demand Equations for bST and non-bST milk (Dependant variable = quantity of milk consumed) Since the real price for bST-induced milk is not existent in the market at the time the survey was conducted, the information on this variable is interpolated from the consumers’ responses on their willingness to pay a higher price for such milk at incremental prices. The negative coefficient on PRICE implying $1.00 increase in price would reduce quantity demanded for bST-treated milk by 0.37 gallon and for bST-free milk by 0.18 gallon. The point price elasticity of demand for bST-treated milk and bSTfree milk are calculated as -0.20 and -0.12, respectively. This suggests that for a one percent increase in price the demand for bST-treated and bST-free milk would decrease by 0.20 and 0.12 percent, respectively. Own price elasticity suggests bST-free milk is more inelastic than bST-induced milk. Consistent with the literature a linear supply curve with unit elasticity of supply is assumed for simplicity and convenience measuring producers’ surplus. According to a study by Blayney (2002), the total quantity of milk produced and supplied in Kansas for 2002 is 1,520 million pounds at a price of $12.61 per thousand weights (cwt). This information is used in the current study. V. Economic Impact of Mandatory labeling The producer and consumer surplus are measured under various scenarios based on the estimated linear demand curves and hypothetical supply curves under constant elasticity of supply assumption. The economic impact of mandatory labeling for bSTmilk is analyzed under two hypothetical market scenarios. In Table 4 Scenario-1, it is assumed that only bST-treated milk is available in the market (voluntary labeling). As a result, 47 percent of the consumers who preferred bST-free milk would stop buying milk reducing the demand by the same percentage (observed from the current survey).2 It is also expected that the use of bST technology would increase milk supply and reduce price. However, in Scenario-1, it is assumed that although the supply increases by 10 percent price remains same. In order to calculate the producer and consumer surplus, the first step is to determine the equilibrium price and quantity. From the supply and demand curves reported in Table 4 Scenario-1, the equilibrium price for bST-induced milk is $5.72 and the quantity is 758.85 mill pounds. The estimated consumers’ surplus, producers’ surplus, and the total surplus for Scenario-1 are $26,510, $2,170, and $28,680, respectively. 34 Southwest Business and Economics Journal/2010 Table 4: Mandatory Labeling and Economics Value for Milk Market Segmentation In Scenario-2 it is assumed that (under mandatory labeling) both bST-treated and bST-free milk are available and two distinct milk markets exist. Under this situation the total surplus from the segmented milk market would be the sum of the consumers’ and producers’ surpluses generated from the two markets. Scenario-2A represents the market for bST-treated milk, assuming supply increases by 10 percent and price decreases by 15 percent. Scenario-2B represents the market for bST-free milk, assuming supply does not change and the price increases by 20 percent. Following the same procedure (explained in Scenario-1) the surpluses generated from bST-treated milk and bST-free milk under Scenario-2A and 2B are $31,670.84 and $41,215.16, respectively. The total surplus under Scenario-2 is $72,886.00. This total surplus (the economic value) from Scenario-2 is 250 percent higher than the total surplus generated from Scenerio-1. It is evident from the empirical analysis that under certain assumptions, the milk market segmentation would generate higher social benefit. The effectiveness of market segmentation based on real or perceived product differentiation largely depends on how long the market would be separated. So far, it is assumed that there is no real difference in the marketing cost between single and differentiated markets. If it does, then further empirical research should be directed measuring the social cost and benefit of market segmentation under mandatory labeling. VI. Summary and Conclusions Although conventional wisdom suggests that consumer’s perceived risk over genetically modified food would decrease over time due to lack of evidence of adverse effects from the use of such products, but that is not true according to this study. In fact, as more and more consumers around the world are exposed to GM food products including milk, we have more evidences now than ever before on the adverse impact of such products on human health. Even after sixteen years of its introduction in the US consumers’ negative attitude and perception about bST-treated milk have not changed. 35 Hormone Induced Milk and Product Labeling – Empirical Evidence from Kansas By rejecting to accept bST-induced milk the nation’s leading grocery chains and producers of milk products are sending a clear and strong signal to the regulating authorities about the consumers’ sentiment and their right to know what they buy. The empirical evidence from this study suggests that the producers of bST-free milk would be able to sell their product at a premium if mandatory labeling is enforced. In total disregard to consumers’ demand for mandatory labeling the US Food and Drug Administration (FDA) is set to approve the meat and milk from cloned animals as food for human consumption by the end of this year. Very soon these products would make their way to the supermarket shelves. The FDA does not require food made from cloned animals and their offspring to be labeled but the producers could apply for the right to label their foods as “clone-free.” In an opinion poll survey on Food and Biotechnology by Pew Initiative in 2006, it was found that 64 percent of Americans were uncomfortable with animal clones and strongly believe on mandatory labeling for such products (ABC-News, 2008). A research by the International Dairy Foods Association estimated that the $20 billion dairy market could fall 15 percent if cloned milk is introduced (CBS4, 2008). Consumer groups, including the Consumer Federation of America have argued that more precautions should be made to protect the safety of food supply and food products made from cloned animals which must be separated and labeled. In the word of Jennifer R. Thornley (2001): “….there is considerable evidence indicating that mandatory labeling is necessary to maximize the choice consumers have over the products they purchase….. As long as a state is careful in its choice of words on the label - asserting truthful, nonmisleading information - there is quite possible enough evidence for it to emerge victorious in convincing the court that mandatory labeling appeases a legitimate consumer concern, places the choice in the proper hands, and is not too restrictive in accomplishing its goals.” 36 Southwest Business and Economics Journal/2010 End Notes 1 For simplicity and convenience these consumers were later arbitrarily assigned to the group that is “willing to buy bST-treated milk.” As a result, the total surveyed consumers willing to buy bST-treated milk increased to 53 percent. 2 The proportion of Kansans unwilling to buy bST-treated milk in this study is much higher than the national average (20%) from some of the studies done in the later part of 1990’s. The argument that these consumers might buy organic milk if bST-free milk is not available, resulting milk demand as a whole would not shrink is not sustainable. This is because organic milk is still not a viable alternative due to its high price and current low market share (3%). 37 Hormone Induced Milk and Product Labeling – Empirical Evidence from Kansas References ABC-News. (2008). Many US Consumers Oblivious to GM Food Fears. <http://www.aseanfood.info/Articles/11021198.pdf>, January 17, 2008. Blayney, D. P. (2002). The Changing Landscape of U.S. Milk Production. Statistical Bulletin. No. 978. United States Department of Agriculture, Economic Research Services. CBS4. (2008). Meat from Cloned Animals Approved by FDA. <http://www.cbs4.com/cosnumer/cloned.food.animal.2.630258.html>, January 16, 2008. Chakraborty, K. (2006). Product Labeling and Economic Value of Milk Market Segmentation. Journal of International Food and Agribusiness Marketing, 18(1/2), 9-27. Chakraborty, K. (2005). 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