Food Innovation Adoption and Organic Food Consumerism-A Cross National Study between Malaysia and Hungary

Determinants of the willingness to buy products certified by omics technology: differences between regular and occasional consumers of organic food

Consumers' demand for organic food has increased in the last years, together with a growing request for food authentication and safety. Omics technologies represent a viable analytical strategy to respond to such needs, strengthen food safety information transmission between consumers and industry, and differentiate between organic and conventional products. However, little is known about consumers' perception of such a novel certification approach. The present research ought to provide insights into the perspectives of consumers, exploring the antecedents of their intention to purchase organic vegetables certified through omics technologies and differentiating between regular and occasional consumers of organic foods. Data were collected from a representative sample of 807 Italian respondents who completed a self-report questionnaire, and Structural Equation Modeling was performed to analyze the data. Results show that several factors influence consumers' approach to omics technology, among which trust in actors in the food industry, attitudes towards the technology and environmental food concerns. In addition, the study drew attention to the differential path impacting consumers with distinct eating habits. Indeed, the degree of importance attributed to food in one's life and the interest towards innovative food are significant predictors of the intention to adopt omics technology only for people consuming organic products with higher frequency. Also, trust in industry actors follows a different path for regular and occasional organic food consumers. The present study sheds light on consumers' perspective on omics technologies, a relatively unexplored topic. Moreover, it allowed to differentiate consumers based on their organic consumption habits, which has been rarely done in previous research. The evidence collected suggests the need for tailored communication programs to stimulate the adoption of omics technologies and foster consumers' confidence in novel food technologies.

Czech Consumers' Preference for Organic Products in Online Grocery Stores during the COVID-19 Pandemic

A major advantage of online organic produce shopping is the fact that it saves energy and reduces emissions otherwise generated by customers during their time spent on the road and while shopping. Organic products in general positively impact sustainability, the environment, and the regions of their origin along with the social changes in these regions and further rural development. Moreover, these products positively impact the perceived health benefits and quality of food labeled as organic. The Czech Republic has currently seen a rise in organic food purchasing and supply trends. This study maps the factors possibly influencing consumers' decision to go shopping for organic food online. Observed factors include the following demographic characteristics of consumers (respondents): gender, age, education, household income, number of children in the household and number of household members. A total of 757 respondents from the Czech Republic from September 2020 to December 2020 took part in the research. Logistic regression, used for data processing, identified the statistically significant effects of education, income and number of household members on online purchases. These conclusions were confirmed by a detailed contingency tables analysis, including the almost monotonous trend of the dependencies, with only minor deviations in a maximum of one category. The strongest influence of some categories on the emergence of partial dependencies was found by residue analysis. The research confirmed that the frequency of online grocery shopping increases significantly with increasing education and income of respondents and decreases with increasing the number of household members. Most respondents apparently shop for groceries online because of time savings, better product choice and more convenient and easier search.

Organic Food Consumption and Risk of Obesity: A Systematic Review and Meta-Analysis

Recent epidemiological studies have explored the association between organic food consumption and the risk of obesity, but the results remain controversial. A systematic review and meta-analysis were conducted to determine the association between organic food consumption and the risk of obesity. Rigorous methods for a comprehensive search were employed to search for literature in PubMed/MEDLINE, Web of Science, and Embase for relevant articles published until 30 November 2021. Pooled odds ratio (OR) with 95% confidence intervals (Cis) were calculated using a DerSimonian and Laird random-effects model to understand the risk of obesity based on exposure to organic food. Four studies, comprising 104,488 healthy subjects and 39,425 adults who consumed organic food, reported 1625 incident cases of obesity. Compared with the unexposed group, organic food consumption was associated with a lower probability of obesity (OR: 0.89, 95% CI: 0.80–0.97, p < 0.001). Subgroup analysis showed that this association was higher in the cohort (OR: 0.78, 95% CI: 0.63–0.92) than cross-sectional studies (OR: 0.95, 95% CI: 0.91–1.00), respectively. Overall, organic food consumption had a modest reduction (11%) in the risk of obesity and can be an appropriate strategy to prevent obesity.

GARCH (1,1) Models and Analysis of Stock Market Turmoil during COVID-19 Outbreak in an Emerging and Developed Economy

COVID-19 pandemic has led to uncertainties in the financial markets around the globe. The pandemic has caused volatilities in the financial market at varying magnitudes, in the emerging versus developed economy. To examine this phenomenon, this study investigates the impact of COVID-19 pandemic on stock market returns and volatility in an emerging economy, i.e., Indonesia, versus developed country, i.e., Hungary, using an event-study approach methodology utilizing GARCH (1,1) model. In this study, the Jakarta Composite Index (JCI) and the b (BUX) data were obtained from Investing and Bloomberg, covering two global events observed within the selected period from 27 September 2006 to 31 August 2021. The data is compared with the stock market volatility data from the global financial crisis in 2007/08. Findings reveal that the recent COVID-19 pandemic had negative stock market returns at a greater magnitude compared to the global financial crisis, in both the emerging and developed economy’s equity market. Stock markets in Indonesia and Hungary have experienced volatility during the crisis. While comparing the result between COVID-19 and the global financial crisis, we found that the volatility on the stock markets is higher in the COVID-19 pandemic than during the global financial crisis. The higher stock market negative returns and volatility during the COVID-19 pandemic triggered the lockdown and limited economic activities, which impacted supply and demand shock. The virus’s propagation and mutation are continually evolving, reminding us that the pandemic is far from over. Developed countries with larger fiscal space seem to find it easier to make responsive policies than countries with a tighter financial budget. Fiscal and monetary policies seem to be a quick solution to stabilize the economy and maintain investor confidence in the Indonesian and Hungarian capital markets. Furthermore, the extension of stock market volatility understanding ensures relevant information for investors, which benefits to mitigate the risk and build sustainable investments of the unprecedented events and enables the promotion of Sustainable Development Goal number 8 (SDG8) to communities, with access to financial products including the stock market, especially during economic and financial uncertainties.

Intake of Animal-Based Foods and Consumer Behaviour towards Organic Food: The Case of Nepal

This study aims to segment Nepalese consumers based on the frequency of animal-based food intake and thereby the determinants of organic food purchasing behaviour to suggest possible marketing strategies for organic food suppliers. A face-to-face survey was conducted among Nepalese consumers (n = 527), underpinned by the theoretical framework, ‘theory of planned behaviour (TPB)’, and extended to include: knowledge, environmental concerns, health-consciousness, and background factors (socio-demographic and lifestyle characteristics). Three segments of consumer types were identified by employing k-means segmentation: All Low (n = 113), High Dairy (n = 246), and High Dairy and Meat (n = 168). A covariance-based structural equation modelling (CB-SEM) analysis indicated that perceived behavioural control (β = 0.438, p < 0.001) was the main predictor of organic food purchasing intention, followed by attitude (β = 0.302, p < 0.001), subjective norms (β = 0.300, p < 0.001), knowledge (β = 0.211, p < 0.001), and environmental concerns (β = 0.208, p < 0.001). Health-consciousness (β = −0.034, p = 0.374) showed no significant impact on organic food purchasing intention. Organic food purchasing intention had a strong positive impact on organic food purchasing behaviour. Socio-demographic and lifestyle characteristics were found to impact behavioural intention indirectly by their effects on attitude, subjective norms, perceived behavioural control, knowledge, and environmental concern. Income also had a direct impact on organic food purchasing behaviour. Further, consumers with a low intake of animal-based foods held positive attitudes towards organic food and had higher environmental concerns. The findings can be used to inform organic food producers and targeted marketing campaigns towards promoting organic food purchasing behaviour in Nepal and similar countries.