Files and links (1)
Published VersionCC BY V4.0, Open Access
Journal article
Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable
Agricultural and Food Economics, Vol.10, pp.1-19
2022
PMID: 36530962
Abstract
Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity-defined as the number of distinct food groups consumed-among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government's dietary guidelines are the main factors driving rural households' decisions to shop for food online.
Details
- Title
- Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable
- Authors
- Wanglin Ma - Lincoln UniversityPuneet Vatsa - Lincoln UniversityHongyun Zheng - Huazhong Agricultural UniversityYanzhi Guo (Corresponding Author) - Ministry of Agriculture and Rural Affairs
- Publication details
- Agricultural and Food Economics, Vol.10, pp.1-19
- Publisher
- SpringerOpen
- Date published
- 2022
- DOI
- 10.1186/s40100-022-00239-2
- ISSN
- 2193-7532
- PMID
- 36530962
- Copyright note
- © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/.
- Data Availability
- The data that support the findings of this study are available from Hongyun Zheng upon request.
- Grant note
- The research is financially supported by the Chinese Academy of Agricultural Sciences for the Science and Technology Innovation Project (No. IFND2019-3) and the funding support from the National Agriculture Science Data Center for the Food Nutrition and Health Project.
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991148737102621
- Output Type
- Journal article
Metrics
4 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Agricultural Economics & Policy
- Economics
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites