Consumers' Willingness to Pay for Locally Produced Ground Beef: A Case Study of the Rural Northern Great Plains

This study examined consumers’ preferences and willingness to pay (WTP) for locally produced ground beef with an emphasis on the impacts of product attributes and the heterogeneity caused by rural consumers’ characteristics. We applied the choice-based conjoint technique to analyze data collected from a typical rural town in the Northern Great Plains. The results indicate that location associated product brand differences and leanness were dominant components affecting consumers’ WTP. The premium of locally produced ground beef for consumers with a close tie to local production is $0.48/lb. Cut difference, grass-fed, and organic were trivial factors in determining consumers’ WTP.     

Marketing Olive Oil Products in the Tunisian Local Market: The Importance of Quality Attributes and Consumers' Behavior

This article is, to the best of our knowledge, the first investigation of Tunisian olive oil consumer behavior by the use of the conjoint analysis technique. The conjoint experiment was based on carefully selected olive oil attributes: type, taste, color, packaging, region of origin, and price. The results have important implications to improve the marketing of olive oil in the local market by focusing on key preferred attributes. Consumers were found to prefer more extra-virgin, followed by virgin olive oil, to pomace oil. They also showed higher preference for green colored olive oil with strong flavored taste. Contrary to a common belief in Tunisia, the region of origin attribute did not show significant effect on consumers’ purchasing decisions. The results show also that Tunisian olive oil consumers are price sensitive and therefore any price strategy to introduce bottled products should take into account consumers’ preferences for bulk purchase.     

A Comparison of Conjoint Analysis Response Formats

A split-sample design is used to evaluate the convergent validity of three response formats used in conjoint analysis experiments. We investigate whether recoding rating data to rankings and choose-one formats, and recoding ranking data to choose one, result in structural models and welfare estimates that are statistically indistinguishable from estimates based on ranking or choose-one questions. Our results indicate that convergent validity of ratings, ranks, and choose one is not established. In addition, we find that people frequently use "ties" in responses to rating questions, and that the option not to choose any of the alternatives ("opt-out") affects some preference estimates.     

Consumer Acceptance of Second‐Generation GM Foods: The Case of Biofortified Cassava in the North‐east of Brazil

Biofortified staple foods are currently being developed to reduce problems of micronutrient malnutrition among the poor. This partly involves use of genetic modification. Yet, relatively little is known about consumer acceptance of such second‐generation genetically modified (GM) foods in developing countries. Here, we analyse consumer attitudes towards provitamin A GM cassava in the north‐east of Brazil. Based on stated preference data, mean willingness to pay is estimated at 60–70% above market prices for traditional cassava. This is higher than the results from similar studies in developed countries, which is plausible given that micronutrient malnutrition is more severe in developing countries. GM foods with enhanced nutritive attributes seem to be well received by poor consumers. However, the results also suggest that acceptance would be still higher if provitamin A were introduced to cassava through conventional breeding. Some policy implications are discussed.     

Analyzing the Demand for New Value-Added Product: Case of Pure Blueberry Sweetener

Analyzing the demand for a new product that is not on the market presents challenges as agricultural producers search for potential value-added products and develop marketing strategies for these products. This study examines the market potential for a new pure blueberry sweetener in Kentucky. The results from a contingent choice survey indicate that the average respondent was not willing to pay a significantly positive amount for the product. However, a small group of respondents, who can be identified by their overall blueberry purchasing intentions and age, was willing to pay a price higher than the product's cost of production. Small and medium-size producers who are often limited by the financial and technical constraints associated with actual market trials of new products are likely to find that the type of marketing research described here is a particularly cost-effective method of getting information to assess market potential.     

经济发达地区耕地非市场价值及居民支付意愿研究——以南京市为例

研究目的：以南京市为例,研究耕地的非市场价值及城乡居民支付意愿的影响因素。研究方法：条件价值法,计量模型。研究结果：（1）南京市耕地的非市场价值为504087.92万元,单价为20760.59元/hm2;（2）57.76%市民和60.32%的农民家庭愿意为耕地非市场价值付费,支付意愿分别为208.33元/户•a和120.26元/户•a;（3）家庭收支水平、年龄、性别、受教育状况、对耕地非市场价值的认知等是影响城乡居民支付意愿的重要因素。研究结论：受家庭支付能力及其在耕地非市场价值方面受到教育的影响,城乡居民对耕地非市场价值的支付意愿并不高。     

Trade-offs between consumer concerns: An application for pork supply chains

This paper studies, by means of customized conjoint analysis, the trade-offs that Dutch consumers make between multiple pork-production attributes, and their relation to consumer concerns. Results show that attributes that deal with animal welfare and food safety are on average perceived as the most important pork-production attributes. Not surprisingly, they are less important than the product attributes taste and price. Still, a number of market segments can be identified in which taste and price are relatively less important. Results support the implementation of differentiated chain designs with distinct and innovative decisions on trade-offs to be made, such as with respect to the housing of pigs and the use of genetic modification.     

Retail Demand for Natural Dye Plants and Dye Plant Products: A Conjoint Analysis

Herbalists, fiber artists, and herb growers are increasingly interested in growing, marketing, and using local plants as natural dyes. As the market in the United States and Canada develops, fiber art and quilting stores are the primary retail market outlets for natural dye plants and dye plant products. Conjoint analysis was used to evaluate U.S. and Canadian retailer interest in natural dye plants/dye plant products and to estimate market shares. The largest retail market share was for dyed materials, such as yarn or fabric, that are dyed in primary colors, using certified organic plants, and grown on farms in the United States or Canada.     

Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina

This article analyzes adoption and impacts of Bt cotton in Argentina against the background of monopoly pricing. Based on survey data, it is shown that the technology significantly reduces insecticide applications and increases yields; however, these advantages are curbed by the high price charged for genetically modified seeds. Using the contingent valuation method, it is shown that farmers' average willingness to pay is less than half the actual technology price. A lower price would not only increase benefits for growers, but could also multiply company profits, thus, resulting in a Pareto improvement. Implications of the sub-optimal pricing strategy are discussed.     

Comparing results of ranking conjoint analyses,best–worst scaling and discrete choice experiments in a nonhypothetical context

This study assesses the comparability of discrete choice experiment (DCE), ranking conjoint analysis (RCA) and multiprofile best–worst scaling (BWS) in a nonhypothetical context in terms of estimated partworths, willingness to pay (WTP), response consistency and external validity. Overall, the results suggest that: (i) the conjoint analysis formats that were used in this study provide similar estimated WTP, but different estimated partworths and computed external validity; (ii) the inclusion of the full ranking information in the estimation of the parameters of interest affects the estimated partworths, but not the estimated WTP; and (iii) it is more appropriate to use multiprofile BWS over DCE and RCA because it has better predictive power of consumers’ preferences and provides estimated WTP comparable to those obtained in the others conjoint analysis formats. The BWS’ cognitive process could be considered clearness for participants implying significant increment of its predictive power.     

Consumer preferences for domestic and organically labelled vegetables in Sweden

The aim of our research is to examine Swedish consumers' perception and preferences of domestic vegetables compared to on the one hand imported and on the other hand organically grown vegetables. The paper draws from two consumer studies. The first study is a text analysis of consumers' associations to the four concepts Swedish, imported, organic and conventional vegetables as well as a conjoint analysis of the relative importance of the same four characteristics in the case of carrots. The second study is a taste experiment on tomatoes from the same Swedish grower labelled in three different ways, as Swedish, Dutch or organic. The conjoint analysis indicates that Swedish origin is considered more important than organic production methods. The text analysis shows that Swedish is associated with positive values, for instance, high quality, while imports have a more negative image. Organic is associated with characteristics such as being non-toxic, good quality and expensive while conventional is associated with poison, being good enough and traditional. The preference for Swedish vegetables is supported by the taste study. Tomatoes that were labelled as Swedish or organic were perceived as tastier than tomatoes labelled as Dutch. Thus, the experience of taste seems to be affected by the labelling. The conclusion is that to many Swedish consumers “Swedish is good enough” as a quality criterion. However, the research situation differs from a real shopping environment, where consumers make choices between bundles of different attributes, not only provenance and production method. Moreover, in a real shopping situation supermarkets promote their own private brands, regardless of origin, thus make origin less accentuated.     

The impact of customer ratings on consumer choice of fresh produce: A stated preference experiment approach

The importance of customer ratings or reviews in online shopping has been recognized in the previous literature; however, few have studied how online customer rating scores affect consumers’ fresh produce purchases and its importance relative to other fresh produce attributes. The quality of fresh produce demonstrates high uncertainty and variation; therefore, the impact of user-generated content such as customer rating scores on the choice of fresh produce may be more complex than on other product categories. Moreover, previous studies on customer ratings have not examined the price premium that retailers can obtain based on better ratings of fresh produce. Using a stated preference approach (i.e., choice experiment), this study measures the willingness to pay for a higher customer rating score and explores its relative importance to other popular fresh produce attributes (i.e., organic, place of origin, and shelf life). The results show that customer rating is the second most important attribute after the place of origin and is more important than production methods (e.g., organic and naturally grown) for fresh strawberry purchases. Also, rating scores demonstrate a diminishing marginal impact on consumer willingness to pay. Younger consumers and households with children are willing to pay more for fresh produce with high ratings than those with low ratings.     

Consumers' Willingness to Pay for the Color of Salmon: A Choice Experiment with Real Economic Incentives

In most retail markets, sellers post the price and consumers choose which products to buy. We designed an experimental market with posted prices to investigate consumers' willingness to pay for the color of salmon. Salmon fillets varying in color and price were displayed in twenty choice scenarios. In each scenario, the participants chose which of two salmon fillets they wanted to buy. To induce real economic incentives, each participant drew one binding scenario; the participants then had to buy the salmon fillet they had chosen in their binding scenario. The choice data were analyzed with a mixed logit model.     

Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin

Urban households account for most of the milk consumption in China, but their consumption is hampered by safety concerns. Using survey data collected in Beijing and Harbin in 2010, this paper simultaneously analyses urban households' milk consumption using a multiple linear model and their willingness‐to‐pay for milk safety using an ordered choice model. The results of this study show that as income increases, urban households consume more milk and are willing to pay a higher premium for milk safety. Modern food marketing channels play a positive role in stimulating milk consumption and building consumers' confidence in milk safety. The growth in the elderly population influences milk consumption positively, but their demand for milk safety is negatively affected by higher price. The combined analysis of households' demand for milk quantity and safety may be useful to the Chinese government in promoting the development of the domestic milk industry and to dairy firms in exploring the milk market in China.     

Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates

Rice has been identified as an important food security crop in Ghana. However, there is a production deficit and new technologies to reduce the deficit are not widely adopted. Although poor adoption by farmers’ is often linked to constraints such as access to information, farmers’ perceptions of the technologies are also important. We apply an advanced discrete choice experiment to evaluate farmers’ preferences for rice production practices. Specifically, we generate willingness to pay (WTP) estimates using willingness to pay space (WS) and compare these with values from the indirect or preference space (PS) method. Our modelling also accounts for the effects on WTP estimates of farmers’ stated attribute importance (SAI) information. Empirical results from WS and PS models reveal that on average, farmers value higher yields and are negatively affected by higher risk of crop failure and labour requirements. Comparing the performance of the two models, we find the WS model provides a superior fit to our data and reduces the likelihood of producing implausible WTP estimates. Further, SAI inclusion did not produce much variation in our WTP estimates.     

Improving the Connection between Theory and Empirical Analysis of Stated Preference and Conjoint Data: Improving Statistical Efficiency and Testing Robustness of Conjoint Marginal Valuations

We investigate the effect of panel estimators and sample weighting to improve efficiency of coefficient estimates and confidence intervals on marginal values. Panel estimators are appropriate because most conjoint studies have respondents rate multiple product profiles. Using a random effects ordered probit model increases significance levels on two forest health attribute coefficients and results in substantial tightening of confidence intervals on marginal values. To mitigate the effects of low response rate, we weight the returned surveys using Census data to match the sample to the population. Two of the four marginal values from this weighted ordered probit model are substantially different.     

Valuing a multistate river: the case of the River Murray*

The River Murray and the Coorong in Australia have been in a state of decline. With the prospect of extended droughts and shifts in inflows due to climate change, difficult choices loom. The options include halting the decline, triage of some assets along the River or staying with the declining river system. To support decision‐making, a survey was designed to elicit willingness to pay for improvements in environmental quality. Over 3000 Australians responded to this survey. The study focuses on key River Murray environmental quality indicators: the frequency of bird breeding along the River Murray, increasing native fish populations in the River Murray, increasing the area of healthy vegetation along the River Murray, and restoring water bird habitat in the Coorong. State/Territory models were jointly estimated using a panel multinomial logit error‐components model. Willingness to pay estimates for improvements in environmental quality were calculated for the River Murray and the Coorong. Respondents were found to be willing to pay most for the Coorong and to improve waterbird breeding frequency. Respondents from the Australian Capital Territory were found to have significantly higher willingness to pay whereas those in Victoria had a significantly lower willingness to pay than respondents in other states.     

A Hedonic Analysis of Nutrition and Health Claims on Fruit Beverage Products

This paper investigates the effects on prices of nutrition and health claims for foodstuffs, in addition to other attributes, using fruit beverages as a case study. The model estimation is based on revealed purchasing behaviour for fruit beverages in the north‐east of Italy. Applying an hedonic price model, the price of a product is explained as a function of product attributes. The model estimate identifies the implicit retail‐market‐level price of specific attributes such as nutrition and health claims, ceteris paribus. Nutrition and health claims significantly affect retail prices. Our findings suggest that retail price response to nutrition and health claims differs in relation to other product attributes, showing a strong reduction of price variation among flavours when such benefits are claimed on the label.