Investigating the Influence of Factors on Attitude Towards Organic Food

Shen Li
Additional contact information
Shen Li: University of Padua, Padua, Italy

Energy Technologies and Environment, 2023, vol. 1, issue 1, 21-49

Abstract: The purpose of the study is to determine the relationships between the factors, attitude towards food consumption and green purchase intention in organic food markets of Pakistan. A Total of 301 sample data was analyzed by SPSS and PLS-SEM. These statistical techniques were used to test the hypotheses. The study was supported the theories include theory of Reasoned Action, Planned Behavior, and expectancy-value model of attitude theory. It also enhances the intention of purchase to buy organic food. The study found that environment, consciousness of health, and safeties of food have significantly direct and indirect influence on Intention of purchase while, taste of food, and exposure of media only have significantly indirect effect on Intention of purchase. The study recommended that retailers should advertise organic food via social media or channels as media persuasively increase the chances to grab the consumer attention to buy the product.

Keywords: Attitude; Green Purchase Intention; Health Consciousness; Foot Safety; Food Taste; Organic Food (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.anserpress.org/journal/ete/1/1/2/pdf (application/pdf)
https://www.anserpress.org/journal/ete/1/1/2 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bba:j00006:v:1:y:2023:i:1:p:21-49:d:154

Access Statistics for this article

Energy Technologies and Environment is currently edited by Ramona Wang

More articles in Energy Technologies and Environment from Anser Press
Bibliographic data for series maintained by Ramona Wang ().