Consumers' awareness,acceptance and attitudes towards functional foods in Turkey

The aim of the present study was to investigate consumers' awareness, acceptance and attitudes towards functional foods in Turkey. Eight hundred and eight people participated in this study: aged between 20 and 80 years, 38.5% were male and 61.5% were female. Participants were given a questionnaire and were asked to fill it in by themselves to minimize the influence of the interviewer. Results indicated that socio‐demographic characteristics such as age, education level and income level are important indicators of consumers' awareness and consumption of functional food. The results show that the female respondents were 2.987 times more aware of functional food than the male respondents. Similarly, the likelihood of respondents having awareness of functional food was 1.431 times greater among those who had a higher educational level than among those with a lower educational level. Consumers who used vitamin supplements were 1.228 times more aware of functional food than other consumers. The results show that older respondents were 3.395 times more aware of functional food than younger respondents. Respondents with a history of familial diseases were more likely than others to have consumed margarine with plant sterol, fruit juices fortified with vitamin C, and breakfast cereals fortified with vitamins and minerals. Those with a diet‐related problem were more likely to have consumed cholesterol‐lowering products than those without a problem. As a conclusion, this study has shown that socio‐demographic characteristics such as age, education and income levels, and prices are important indicators that influence consumers' awareness and consumption of functional food. These results suggest that this type of knowledge could affect consumers' interest in functional foods, and therefore educational strategies might be necessary to encourage the consumption of functional foods.     

Brexit: Tracking and disentangling the sentiment towards leaving the EU

On 23 June, 2016, the UK held a referendum to decide whether to stay in the European Union or leave. The uncertainty surrounding the outcome of this referendum had major consequences for public policy, investment decisions, and currency markets. We discuss some of the subtleties involved in smoothing and disentangling poll data in light of the problem of tracking the dynamics of the intention to Brexit, and propose a multivariate singular spectrum analysis method that produces trendlines on the unit simplex. The trendline yield via multivariate singular spectrum analysis is shown to resemble that of local polynomial smoothing, and singular spectrum analysis presents the nice feature of disentangling the dynamics directly into components that can be interpreted as changes in public opinion or sampling error. The merits and disadvantages of some different approaches for obtaining smooth trendlines on the unit simplex are contrasted, in terms of both local polynomial smoothing and multivariate singular spectrum analysis.     

Successful eco‐innovators: Exploring the association between open inbound knowledge strategies and the performance of eco‐innovative firms

The main purpose of this paper is to analyse the association between open inbound knowledge strategies and the performance of eco‐innovative firms in the food and beverage industry. We propose a mixed framework based on the eco‐innovation literature and the open innovation approach. We consider the characteristics in a traditional sector based upon a resource‐based perspective. Three types of firms are distinguished in terms of their sales growth in the Spanish food industry from the least to the most successful eco‐innovators. Using multinomial logistic regression models, it is shown that the diversity of collaborators (breadth of external sources of knowledge) and joint adoption of product and process eco‐innovations are positively associated with the probability of achieving high sales growth. Moreover, we find an inverted U‐shaped relationship between the breadth of the external search and firm performance, but only for the group of the most successful firms. Moreover, operational flexibility, knowledge‐based capabilities and company size are also positively related to the group of successful eco‐innovators.     

Modeling asymmetric price transmission in the European food market

In this study, we employ a multivariate panel error correction model (PVECM) to investigate asymmetric price transmission among the farm, processor, and retail segments of the European food supply chain for the 2005–2016 period. The results indicate that, in both the long- and short-run, retail prices respond more strongly to processor price increases than decreases and the same occurs for processor prices due to farm price changes. Thus, the findings demonstrate the presence of positive asymmetric price transmission in the European food supply chain. Finally, the results of the present study indicate that the food price pass-through varies greatly across product category and across countries, and that the pass-through to producer prices is greater than that to consumer prices.     

粮食质检体系建设的现状与思考

粮食卫生质量安全是全社会共同关注的热点问题,如何开展粮食质量安全管理,保障消费安全,提升消费水平是学者们共同探讨的问题。建立和完善粮食质量安全监督检测体系,开展粮食质量安全监督检测是提高保障农产品质量安全水平的有效手段之一。本文主要阐述了目前粮食质量监督检测体系的现状和存在的主要问题,并就如何加快粮食质检体系建设方面阐述了自己的观点。     

Price premiums for organic menus at restaurants: What is an acceptable level?

This study identifies acceptable premium price levels that customers would be willing to pay for organic menu items at restaurants in the United States. Previous literature indicates that health-related and socio-demographic characteristics significantly influence consumers’ intentions to purchase organic food. To advance our understanding of how different consumers respond to changes in organic food prices, this study examines the moderating effects of the level of health consciousness (high versus low), gender (male versus female), and age (young versus old) on the relationship between premium price levels and purchasing intentions. In addition, this study further investigates acceptable premium price levels for different consumer segments at two types of restaurants (casual dining versus fine dining). The results of this study provide guidelines for menu design and strategies for restaurateurs to devise effective price premiums for organic menu options.     

Are voters rational?

We test whether a voter's decision to cast a vote depends on its probability of affecting the election outcome. Using exogenous variation arising at population cutoffs determining council sizes in Finnish municipal elections, we show that larger council size increases both pivotal probabilities and turnout. These effects are statistically significant, fairly large and robust. Finally, we use a novel instrumental variables design to show that the jumps in the pivotal probabilities are the likely candidate for explaining the increase in turnout, rather than the other observed simultaneous jumps at the council size cutoffs. Moreover, our results indicate that turnout responds only to within-party pivotal probabilities, perhaps because they are more salient to the voters than the between-party ones.     

Food values and heterogeneous consumer responses to nanotechnology

Agricultural applications of nanotechnology are at a relatively early stage and little is known about consumer responses to the technology. Canadian consumer responses to food nanotechnology are examined through the lens of the Food Value Scale. Data from a survey of Canadian consumers are used to evaluate the relative importance of eleven food values to food purchase decisions. We find that taste, safety, nutrition, and price are among the most important food values to Canadians, however, consumers exhibit considerable heterogeneity with respect to the priority placed on these values. A discrete choice experiment (DCE) explores the effect of food values on choice behavior. The DCE is positioned as a sliced apple product with non-browning and antioxidant-enhanced features introduced through the use of nanocoating or a conventional coating method. Random parameters logit (RPL) and latent class models (LCM) confirm the existence of significant preference heterogeneity. The LCM identifies three classes of consumers: “supporters,” “doubters,” and “opponents” who differ in their reaction to nanotechnology and in the relative importance placed on food values such as naturalness, novelty, and convenience. The analysis shows that food values provide additional insights into consumers’ food choices and their attitudes toward novel food technologies.     

Political budget cycles revisited: Testing the signalling process

A widespread view in the ‘political budget cycles’ literature is that incumbent politicians seek to influence voters’ perceptions of their competence and/or preferences by using the composition of the fiscal budget as a signalling tool. However, little is known about whether voters actually receive and perceive the signal in that way. To empirically assess the relevance of the signalling channel at the municipal level, we conducted a survey among 2000 representative German citizens in 2018. Only a small fraction of voters feel well-informed about the fiscal budget signal and use the information it contains to decide whether to vote for the incumbent politician. Persons paying more attention to the signal sent by local politicians live in smaller municipalities, are more satisfied with their economic situation, are more educated, and do not feel that they are being electorally manipulated. Our analysis raises doubt about the relevance of budget composition as a signalling mechanism for voters at the local level.     

Personality traits,basic individual values and GMO risk perception of twitter users

Abstract

The present study investigates how the most foundational factors to individual differences – personality traits and personal values – affect the perceived safety of genetic modification and their relative importance. Publicly available communication data from 522 Twitter accounts discussing genetically modified foods and their safety was processed in two steps. First, accounts were categorized by the researchers as viewing GM foods as either safe or not safe. Second, using the IBM Watson platform, the Twitter communication data were subjected to lexical analysis to assign scores according to the Five Factor Model for personality traits and Schwartz’s basic individual values to the individual accounts. Logistic regression analyses were performed to determine how perceived GM food safety is linked to personality traits and individual values. Although both traits and values significantly contribute to explaining GM attitudes, personality traits strongly moderate the effect of individual values on risk perception.