This study explores the determinants of intention and behavior towards environmentally friendly agricultural (EFA) food in China. We conduct the influencing factor model on behavioral intention and behavior toward EFA food by extending TPB model with the theory of public environmental policy and perceived value and trust. The empirical analysis revealed that public environmental policy and subjective norm positively affect behavioral intention and behavior for purchasing EFA food. However, trust and attitude have no significant effect on the intention of purchasing EFA food. Subjective norm and perceived behavioral control have a significant effect on intentions toward purchasing EFA food. And the effect of intentions on behavior towards purchasing environmentally friendly agricultural food is significant and positive. Moreover, we have found that female consumers may consume more of environmentally friendly agricultural food compared with males, and the consumption of EFA food was significantly different across different level of income.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11356-020-08261-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Genetic inbreeding load and its individual prediction for milk yield in French dairy sheep.
Genet Sel Evol
January 2025
GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Background: The magnitude of inbreeding depression depends on the recessive burden of the individual, which can be traced back to the hidden (recessive) inbreeding load among ancestors. However, these ancestors carry different alleles at potentially deleterious loci and therefore there is individual variability of this inbreeding load. Estimation of the additive genetic value for inbreeding load is possible using a decomposition of inbreeding in partial inbreeding components due to ancestors.
View Article and Find Full Text PDFTowards measuring food insecurity stigma: development and validation of the Food Insecurity Self-stigma Scale and the Food Support Experiences Scale.
BMC Public Health
November 2024
Department of Psychology, University of Liverpool, Liverpool, UK.
Background: Within high income countries, individuals experiencing food insecurity have become increasingly reliant on food support to satisfy household food needs. However, experiencing food insecurity and accessing food support are highly stigmatised, negatively impacting psychological and emotional wellbeing. Being able to quantify this stigma may contribute towards reducing these impacts.
View Article and Find Full Text PDF10 practical priorities to prevent and manage serious allergic reactions: GALEN ANACare and EFA Anaphylaxis Manifesto.
Clin Transl Allergy
December 2024
Charite Univeritätsmedizin Berlin, Berlin, Germany.
Article Synopsis
Background/objectives: Appetitive traits have a central role in energy intake and development of obesity. Child Eating Behavior Questionnaire (CEBQ) is a validated psychometric tool to measure appetitive traits in children. This study sought to assess the CEBQ factor structure in children with obesity.
View Article and Find Full Text PDFTranslational Algorithms for Technological Dietary Quality Assessment Integrating Nutrimetabolic Data with Machine Learning Methods.
Nutrients
November 2024
Cardiometabolic Nutrition Group, Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food, Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), 28049 Madrid, Spain.
Unlabelled: Recent advances in machine learning technologies and omics methodologies are revolutionizing dietary assessment by integrating phenotypical, clinical, and metabolic biomarkers, which are crucial for personalized precision nutrition. This investigation aims to evaluate the feasibility and efficacy of artificial intelligence tools, particularly machine learning (ML) methods, in analyzing these biomarkers to characterize food and nutrient intake and to predict dietary patterns.
Methods: We analyzed data from 138 subjects from the European Dietary Deal project through comprehensive examinations, lifestyle questionnaires, and fasting blood samples.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!