The Survey of Heterogeneity on Organic Products Consumers’ Preferences Using Mixed Logit and Latent Class Models

Abstract

Today, the importance of consumption of organic products has become more evident to the consumer due to the great benefits of these products. The aim of this study is to investigate the factors affecting the preferences of organic tea consumers in Tehran by considering the heterogeneity of consumer’s preferences. For this purpose, mixed logit and latent class model were used. The required information were collected through field surveys by completing a questionnaire from 405 respondents from Tehran citizens in 2016. Results from estimating mixed logit and latent class models confirm the heterogeneity of preferences between consumers. Different levels of income, education, age, history of poisoning and awareness of organic products were identified as heterogeneous factors. The results of the estimation models showed the maximum willingness-to-pay is related to the attribute of the disease and long-term effects. According to the findings of the study, it is suggested to help increase people's awareness of the characteristics of organic products and the use of targeted-oriented strategies to encourage consumers to consume organic products.     

Consumer Motives and Purchase Preferences for Organic Food Products: Empirical Evidence From a Consumer Survey in Bangalore,South India

ABSTRACT

Consumer organic food choice motives and purchase preferences were studied in a structured quantitative survey (N = 201) in Bangalore, with the aim of identifying consumer segments based on these motives and preferences. Further, sociodemographic differences between the clusters were studied. Face-to-face interviews were used to sample the data, which were analyzed with factor and k-means cluster analysis (SPSS 16.0). Five latent factors were identified based on the motives, representing a set of consumer concerns labeled here as “food phobia” (health),” “environment,” “humanity,” “healthy eaters,” and “control.” Further, three clusters emerged from these motives representing 38%, 37%, and 25% of the sample size. The factors differ in terms of variance. Here, the records of perceived healthiness (food phobia) were the most important element, explaining 18.37% of the total variance. These clusters were differing in terms of the level and order of motivations. The health factor was a most important motive in two clusters, followed by environment. Further, humanity was the most important motive for the third cluster. This may reflect a heterogeneous nature of consumers in study area. Additionally, five clusters were identified based on the preferences, and profiles of these clusters differed in terms of sociodemographic factors and consumption pattern. Segments were identified based on motivating factors and preferences, and linking them with food choice motives and products preference provides the input needed by marketing professionals and policy makers to calibrate more efficient marketing strategies to better focus and position their products and design their communication strategies for target segments.     

Combining Stated and Revealed Preferences on Typical Food Products: The Case of Dry‐Cured Ham in Spain

An extensive body of research concerns the valuation of EU certification schemes of quality based on the origin of food products. This literature focuses mainly on stated preferences (SPs) and reported behaviours by the consumers. We combine consumers’ SPs, obtained through a conjoint ranking experiment, with revealed preferences (RP), obtained through a retail scanner database. We evaluate SPs as predictors of RP, and investigate whether SPs and RPs are consistent. Dry‐cured ham in Spain is chosen as the anchor product, mainly because of its broad customer base and long history of origin certification. A ‘trick’ nested logit model with non‐identical and identical samples of consumers is estimated to answer each of the objectives. Results show that, irrespective of the analysed samples, SP can predict general market trends and choices but not accurately predict market shares, and that consumers’ actual behaviour is partly consistent with their SPs. We find that consumers prefer ham produced in Teruel, compared with unspecified Spanish origin. Quality Certification and a Distributor’s Brand are preferred over the alternatives of no quality label or identified with a brand owned by the producer. Interestingly, SPs for the Quality Certification and the distributor’s brand lead to an over‐ and under‐estimation, respectively, of the market share.     

Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations

This article models the recreation demand for Iowa wetlands, combining survey data on both actual usage patterns (i.e., revealed preferences (RPs)) and anticipated changes to those patterns under hypothetical increases in trip costs (i.e., stated preferences (SPs)). We formulate and test specific hypotheses concerning potential sources of bias in each approach and discuss what can be learned about the validity of the models from such tests.     

福建中小企业开拓北美有机茶市场的问题及对策

阻碍福建中小企业开拓北美有机茶市场的主要问题是资金短缺、缺乏绿色认证信息以及不了解贸易伙伴和消费者的情况 ,本文针对这些问题进行探讨并提出解决问题的方案。     

Consumer Preferences for Organic Food and for the Shares of Meat and Vegetables in an Everyday Meal

Abstract

It is well established that consumers with positive preferences for organic products generally also tend to have healthy eating habits involving many fruits and vegetables but less meat. While most studies are based on single product comparisons, this study investigates consumer preferences for organic ingredients and content of meat and vegetables in the context of an everyday evening meal. Moreover, we address heterogeneity in preferences. The study is based on an online survey including a choice experiment with 506 consumers. Using principal component and latent class analyses, we identify three segments of consumers that differ with respect to preferences for organic production and content of meat and vegetables in their meals. Our findings may be valuable for authorities promoting healthy food consumption just as they provide valuable input to the catering industry and other suppliers of dinner dishes in the development and marketing of both organic and non-organic ready meals.     

Farmers' Acceptance of the Organic Certification System in Germany: A Partial Least Squares Model

The institutional framework of the certification scheme is a crucial factor in the future success of the organic market. Increasing complexity and a couple of scandals indicate that current control structures might be insufficient. A better understanding of farmers' attitudes is necessary to increase acceptance and to guarantee the longer term success of the organic certification system. By means of a conceptual framework based on the technology acceptance model, an investigation was conducted into acceptance of the organic certification system in Germany. The empirical basis of the study was a survey conducted among organic farmers in Germany. Partial least squares was used as a multivariate analysis technique to estimate the parameters of the proposed causal model. The findings indicate that the majority of farmers accept the present organic certification system but are not convinced of its cost-benefit relationship.     

Nutrition Transition and Changing Food Preferences in India

We present empirical evidence on how changes in food preferences have contributed to nutrition transition, where the dietary pattern of households shifts away from traditional staples. Using household-level time series cross-section survey data for India, we estimate time varying demand elasticities, revealing evidence of the declining importance of cereals in Indian household diets. The estimates show that Indian demand for cereals has become more income inelastic and price elastic. We also find that cereals are a substitute rather than a complement to animal products in household diets. Since changes in elasticities can only be attributed to variation in utility parameters, this indicates that cereals are losing favour with Indian households. These findings have implications for Indian food policy design and implementation.     

Choice Modeling and Tests of Benefit Transfer

Benefit transfer is increasingly being used by decision makers as a way of estimating environmental values suitable for use in benefit cost analysis. However, recent studies examining the validity of benefit transfer of passive use values estimated using contingent valuation have rejected the hypothesis of convergent validity. In this article, we demonstrate the usage of a form of conjoint analysis known as choice modeling for benefit transfer. Choice modeling has been touted as being particularly suitable for benefit transfer because it is possible to allow for differences in environmental quality and socioeconomic characteristics when transferring benefit estimates. We demonstrate that choice modeling is suitable for benefit transfer, particularly when the transfers involve implicit prices. Second, we examine the circumstances in which benefit transfer of choice modeling derived value estimates is likely to be most valid. Two split sample tests were undertaken to achieve this objective. The evidence from these tests indicates that transfers across different case study sites are likely to be subject to less error than those across different populations.     

The Challenges of Organic Production and Marketing in Europe and Spain: Innovative Marketing for the Future With Quality and Safe Food Products

In this work the actual situation of organic production and marketing in Spain is explained, studying and analyzing their evolution in the last decade of previous the century and in the first years of the new millennium. In Spain, organic production began in the 1970s with pioneers in Catalonia, Murcia Region, and other zones. It was in the 1990s when was observed a great increase in organic surfaces. A very interesting and critical date is that at the moment, more than 80% of organic products are being exported to other European countries, United States, and other foreign markets, and it is necessary to find new marketing strategies and innovations to structure the organic market, give new information to consumers, improve investments in the relation between retailers and consumers, and improve the perception of the utilities of these products. In some countries, as is the case of Spain, the consumers don't have enough information about the characteristics of organic products, organic food, and organic production methodologies. They must have all the information about the benefits of organic production methodologies and their implications in environmental conservation, biodiversity protection, food quality and safety, and this task must be provided by the new marketing strategies and actions.     

Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency

This article deals with specification and estimation of risk preferences, production risk, and technical inefficiency. It makes contribution in three separate areas of production economics. First, we model producers' attitude toward risk and derive risk preference functions (without assuming any parametric form of the utility function and any distribution of the error term representing production risk) when risk arises from production uncertainty and technical inefficiency. Second, the standard production risk model is extended to accommodate technical inefficiency and producers' attitude toward risk. Finally, the technical efficiency model is generalized to accommodate production risk and producers' attitude toward risk.     

Slotting Fees for Organic Retail Products: Evidence From a Survey of U.S. Food Retailers

Based on a survey of U.S. food retailers, our study finds that almost one third of U.S. food retailers charge slotting fees for certified organic food products, a retailing area where slotting fees had not previously been well documented. Econometric results from both ordered response and binary response models suggest that a number of firm-level attributes do influence the presence and/or relative size of organic slotting fees in a manner that is mostly consistent with an economic efficiency rationale and partly consistent with a market power/strategic behavior rationale for slotting fees.     

Comparing Serial,and Choice Task Stated and Inferred Attribute Non‐Attendance Methods in Food Choice Experiments

A number of choice experiment (CE) studies have shown that survey respondents employ heuristics such as attribute non‐attendance (ANA) while evaluating food products. This paper addresses a set of related methodological questions using empirical consumer data from a CE on poultry meat with sustainability labels. First, it assesses whether there are differences in terms of marginal willingness to pay estimates between the two most common ways of collecting stated ANA (serial and choice task level). Second, it validates the self‐reported ANA behaviour across both approaches. Third, it explores the concordance of stated methods with that of the inferred method. Results show that WTP estimates from serial‐level data differ from those from choice task‐level data. Also, self‐reported measures on choice task ANA are found to be more congruent with model estimates than those for serial ANA, as well as with inferred ANA.     

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.     

Policies Supporting Organic Food and Farming in the EU: Assessment and Development by Stakeholders in 11 European Countries

There is no single ‘best way’ of policy development. Bottom-up approaches to policy design and a broad debate among stakeholders facilitate policy learning and innovation. A novel approach of a bottom-up policy design process involving stakeholders is introduced. The first results obtained by implementing this methodology are presented. The outcomes of a large international effort for a development of policies for organic food and farming, which took place in Maj 2004 in Europe, are analyzed: the synthesized results from 11 European countries (AT, CH, CZ, DE, DK, EE, GB, HU, IT, PL, SI) on the current situation of policies related to the organic food market in Europe are highlighted and policy recommendations for the development of the organic food and farming sector are formulated. Specifically, strengths, weaknesses, opportunities, and threats of policies related to the organic food market are identified and policy instruments used to address these aspects are developed.     

Testing the Consistency Between Standard Contingent Valuation,Repeated Contingent Valuation and Choice Experiments

Choice experiments (CEs) are a relatively new approach to valuing environmental resources. Initial tests of the validity of the approach have either compared benefit estimates generated using CEs with those estimated using contingent valuation (CV) or used more sophisticated hypothesis tests of parameter equality. Although useful, existing tests have been restricted to testing consistency based on a single policy scenario (standard CV). We argue that, although these tests are informative, they fail to take full advantage of the richness of CE data. In particular, CE data allow for the calculation of benefit estimates over a range of policy scenarios (i.e. attribute combinations). A similar range of benefit estimates may be generated by pooling scenarios in a repeated CV study. In this paper, we explore this relationship between CV and CEs by conducting validity tests between a CE model and a repeated CV model over a range of three levels of improved water quality at Clear Lake, IA, USA. Evidence from this test suggests that the CE and CV data are consistent.     

Policy preferences of experts seeking to raise and stabilise farm incomes in the Eastern Gangetic Plains

Poverty is endemic in the highly populated Eastern Gangetic Plains where agriculture is critical to more than half the population. However, the mechanisms to support agriculture for development are contested. For example, some have advocated a strong role for government support and assistance due to market weaknesses, while others have promoted the need for more market-oriented approaches. We use an elicitation process focussed on expert policymaking communities, employing stated preference techniques to explore these options. Differences in perceptions about the effectiveness of policies and their delivery are reported between countries, while also empirically examining the influence of the respondents' organisational background. The results show support for policies that improve farmers' access to inputs, especially when delivered by private sector actors. The research provides an important contribution to the literature on policies for agricultural development.     

Heterogeneous Consumer Preferences for Nanotechnology and Genetic‐modification Technology in Food Products

This study investigates heterogeneous consumer preferences for nanofood and genetically‐modified (GM) food and the associated benefits using the results of choice experiments with 1,117 US consumers. We employ a latent class logit model to capture the heterogeneity in consumer preferences by identifying consumer segments. Our results show that nano‐food evokes fewer negative reactions compared with GM food. We identify four consumer groups: ‘Price Oriented/Technology Adopters’, ‘Technology Averse’, ‘Benefit Oriented’, and ‘New Technology Rejecters’. Each consumer group has a distinctive demographic background, which generates deeper insights into the diversified public acceptance of nano‐food and GM food. Our results have policy implications for the adoption of new food technologies.     

Marketing Organic and Conventional Potatoes in Germany

We apply a bivariate probit model and cluster analysis to German household survey data to evaluate factors influencing consumption of conventional and organic potatoes. Results show there is a positive but insignificant correlation between the consumption of conventional and organic potatoes and consumers associate organic potatoes with healthy ingredients, trusted origin, and food safety. Furthermore, consumers' sociodemographics such as education and children in households affect their choice of potatoes. Cluster analysis results group potato consumers into the market segments “Industry trusting,” “Healthy diet oriented,” and “Price oriented.” These results suggest an adoption of different marketing strategies to promote fresh potatoes to the different market segments.     

Interactivity and Soft Computing in Portfolio Management: Should Farmers Own Food and Agribusiness Stocks?

This article proposes a fully integrated and interactive elicitation-optimization procedure for portfolio management. A soft computing approach based on fuzzy logic is developed as an alternative to the traditional mean variance model and compromise programming approach. The models are applied to farmers to examine whether they should buy publicly traded food and agribusiness firms stocks rather than invest in a broader market stock portfolio. Results suggest that investments in publicly traded food and agribusiness stocks allow farmers to capture additional benefits beyond those of simply diversifying in the broader market.