Choice models represent a valid approach for the analysis of consumers' preferences as these models offer an opportunity to investigate many aspects that influence consumer behaviour. This study with the purpose of investigating consumers' preferences and their affecting factors were conducted by using the nested logit model in Sari, Iran in 2018. The results revealed that yoghurt, milk and cheese had the most preferences among the dairy products and consumers had more tendencies towards using low fat than full-fat dairy products. The results of factors affecting dairy products choice indicated that price and family cost decreased the probability of products being chosen, and age, education and attention to exercise variables increased this probability. Marketing mixed variables (4p) also had a significant effect on the choice of dairy products.
This paper extends the extreme downside correlation (EDC) and extreme downside hedge (EDH) methodology to model the interdependence in the sensitivity of assets to the downside risk of other financial assets under severe firm-level and market conditions. The model is applied to analyze both systematic and systemic exposures in the Iranian Food Industry. The empirical application investigates (1) which company is the safest for investors to diversify their investment, and (2) which companies are the "transmitters" and "receivers" of downside risk. We study the return series of 11 companies and the Food Industry index publicly listed on the Tehran Stock Exchange. The data covers daily close prices from 2015-2020. The result shows that Mahram Manufacturing is the safest to hedge equity risk, and Glucosan and Behshahr Industries are the riskiest, while Gorji Biscuit is central to risk transmission, and Pegah Fars Diary is the main "receiver" of risk in turbulent times.
A healthy society is the foundation of development in every country, and one way to achieve a healthy society is to promote healthy nutrition. An unbalanced diet is one of the leading causes of noncommunicable diseases globally. If food was correctly selected and correctly consumed, both the problems of overeating and lack of nutrition could be largely solved while also decreasing public health costs. Interventions such as presenting necessary information and warning labels would help consumers make better food choices. Hence, providing nutritional information to consumers becomes essential. The present study investigates the importance of nutrition information labels on consumers’ preferences by estimating their willingness to pay for features and information provided by a dietary software program (app). An application can easily display the information to the consumers and help them make informed food choices. A discrete choice experiment investigated consumers’ preferences and willingness to pay to receive nutritional information. Mixed multinomial logit and latent class analysis were applied. The results showed the existence of heterogeneity in consumer preferences for different nutritional information provided by the application. Consumers are willing to pay more for salt and fat alerts. The results of this study allow for the analysis of consumers’ interest in nutritional information. Such results are essential for the industry for future investments in similar applications that potentially could help consumers make better informed choices.
Product bundling can be attractive for consumers and also be profitable as a marketing strategy. Based on the importance of this promotion strategy, this study estimated the effect of features on consumers' purchase preferences among 16 dairy products available in the assortment of a popular brand by using a d-level nested logit model. Data about consumer preferences were collected from a sample of dairy products consumers in Sari City, Iran in 2018. By using the results of preferences, this study ran an optimisation algorithm according to a maximum profit criterion and suggested the best bundle for dairy products. Based on the algorithm results, the bundle including 4 out of the 16 available products had the maximum expected profit. This paper found that the profit of selling this product bundle is higher than the profit that could be obtained selling these products separately.
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