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The effect of Internet usage on dietary quality: Evidence from rural China

Author

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  • Yi Cui
  • Thomas Glauben
  • Wei Si
  • Qiran Zhao

Abstract

The popularity of Internet usage in rural China is on the rise while improving the nutritional status of Chinese rural residents remains a major issue due to prevalent unbalanced diets and deficiencies in some nutrients. However, there is a scarcity of empirical evidence linking these two aspects. The relationship between Internet usage and dietary quality remains inconclusive in both developed and developing countries. Using data from a survey of 2053 households in rural China, this paper examines the relationship between Internet usage and dietary quality among Chinese rural residents by employing an endogenous switching regression model to address the issue of selection bias. The empirical results reveal that respondents' gender, age, years of education, and household income significantly influenced their decisions to use the Internet, and Internet usage significantly improve dietary quality of their household. The findings of the heterogeneous analysis show that the impact of Internet usage on dietary quality varies based on respondents' dietary knowledge, per capita annual income, and household food expenditure. Through mechanism analysis, we find that Internet usage can improve the dietary quality by increasing the possibility of online food purchasing and fostering a more positive dietary attitude. [EconLit Citations: I12, O15, O33].

Suggested Citation

  • Yi Cui & Thomas Glauben & Wei Si & Qiran Zhao, 2023. "The effect of Internet usage on dietary quality: Evidence from rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(S1), pages 1478-1494, December.
    • Handle: RePEc:wly:agribz:v:39:y:2023:i:s1:p:1478-1494
    DOI: 10.1002/agr.21869
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    References listed on IDEAS

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    1. Meng, Qingxuan & Li, Mingzhi, 2002. "New Economy and ICT development in China," Information Economics and Policy, Elsevier, vol. 14(2), pages 275-295, June.
    2. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LLC, vol. 4(3), pages 282-289, September.
    3. Cao, Yangzhe & Swallow, Brent & Qiu, Feng, 2021. "Identifying the effects of a land-use policy on willingness to pay for open space using an endogenous switching regression model," Land Use Policy, Elsevier, vol. 102(C).
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