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>> Some examples are:-
1) A good example of elastic demand is housing. There are so many different housing choices. People could live in a townhouse, condo, apartment, or even with friends or family. Because there are so many options, it’s easy for people to not pay more than they want to.
2) Clothing also has elastic demand. True, people have to wear clothes, but there are many choices of what kind of clothing and how much to spend. When some stores offer sales, other stores have to lower their clothing prices to maintain demand. Small stores that can't offer huge discounts go out of business. During the Great Recession, many clothing stores were replaced by second-hand stores that offered quality used clothing at steeply discounted prices.
This study used sensory traits and face reading technology to analyze a number of factors (social status, age, gender, education, knowledge about healthy eating, and attitude toward food) influencing consumer .food choices (FC), such as the connection between depression, FC, and food flavor In the first stage of the experiment, factors influencing consumer food preferences were examined using a questionnaire, and in the second stage, FaceReader 6 software was used to assess the emotional responses elicited by various food tastes in people with and without depressive disorders (DD). We demonstrate that gender significantly influences the majority of emotional motives, with a stronger effect in females when there was a suggestion of greater sweet appetites when feeling melancholy.
The drive to eat for pleasurable feelings was significantly influenced by age, whereas attitudes of healthy eating were significantly influenced by education. Face reading technology has been proven to be sufficiently precise to identify variations in facial expressions brought on by various food tastes, for both groups with and without DD. In conclusion, there are a variety of important aspects to consider when analyzing food preferences, and the FaceReader 6 technique's results show great promise for studying the relationship between food and mood. We argue that there is a clear connection between mood and food preferences.
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