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Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable.
Ma, Wanglin; Vatsa, Puneet; Zheng, Hongyun; Guo, Yanzhi.
  • Ma W; Department of Global Value Chains and Trade, Faculty of Agribusiness and Commerce, Lincoln University, Christchurch, New Zealand.
  • Vatsa P; Department of Global Value Chains and Trade, Faculty of Agribusiness and Commerce, Lincoln University, Christchurch, New Zealand.
  • Zheng H; College of Economics & Management, Huazhong Agricultural University, Wuhan, China.
  • Guo Y; Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing, China.
Agric Food Econ ; 10(1): 30, 2022.
Article in English | MEDLINE | ID: covidwho-2153683
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Agric Food Econ Year: 2022 Document Type: Article Affiliation country: S40100-022-00239-2

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Agric Food Econ Year: 2022 Document Type: Article Affiliation country: S40100-022-00239-2