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Can a knowledge calendar improve dietary knowledge? Evidence from a field experiment in rural China

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  • Hou, Minghui
  • Min, Shi
  • Qing, Ping
  • Tian, Xu

Abstract

While dietary knowledge significantly impacts food consumption and healthy eating, in many developing countries, the level of dietary knowledge among rural residents is relatively low. An effective and inexpensive intervention is therefore urgently needed to improve dietary knowledge. This study evaluated the effect of an information intervention, in the form of a knowledge calendar, on the dietary knowledge level of rural residents. A propensity score matching with a difference in differences (PSM–DID) approach was applied with two-wave panel data collected from a field experiment to estimate the treatment effect of the information intervention on rural residents’ dietary knowledge. The estimation results indicated that the dietary knowledge of rural residents whose households received knowledge calendars significantly increased by 4.7–6.1 % and revealed an active learning effect in rural residents regarding dietary knowledge, suggesting that providing knowledge calendars to rural residents is an effective and low-cost approach for improving their level of dietary knowledge. Additionally, the intervention effect of the knowledge calendar on dietary knowledge was heterogeneous according to individual and household characteristics, such as education, off-farm employment, social network, household income, and farm size. The findings of this study provide an empirical basis for the formulation of inexpensive and effective information intervention policies.

Suggested Citation

  • Hou, Minghui & Min, Shi & Qing, Ping & Tian, Xu, 2024. "Can a knowledge calendar improve dietary knowledge? Evidence from a field experiment in rural China," World Development, Elsevier, vol. 174(C).
  • Handle: RePEc:eee:wdevel:v:174:y:2024:i:c:s0305750x23002656
    DOI: 10.1016/j.worlddev.2023.106447
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    References listed on IDEAS

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    1. Fitzsimons, Emla & Malde, Bansi & Mesnard, Alice & Vera-Hernández, Marcos, 2016. "Nutrition, information and household behavior: Experimental evidence from Malawi," Journal of Development Economics, Elsevier, vol. 122(C), pages 113-126.
    2. Emanuela Galasso & Nithin Umapathi, 2009. "Improving nutritional status through behavioural change: lessons from Madagascar," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 1(1), pages 60-85.
    3. Min, Shi & Wang, Xiaobing & Yu, Xiaohua, 2021. "Does dietary knowledge affect household food waste in the developing economy of China?," Food Policy, Elsevier, vol. 98(C).
    4. Mecheva, Margarita de Vries & Rieger, Matthias & Sparrow, Robert & Prafiantini, Erfi & Agustina, Rina, 2021. "Snacks, nudges and asymmetric peer influence: Evidence from food choice experiments with children in Indonesia," Journal of Health Economics, Elsevier, vol. 79(C).
    5. Barreiro-Hurlé, Jesús & Gracia, Azucena & de-Magistris, Tiziana, 2010. "Does nutrition information on food products lead to healthier food choices?," Food Policy, Elsevier, vol. 35(3), pages 221-229, June.
    6. You, Jing & Imai, Katsushi S. & Gaiha, Raghav, 2016. "Declining Nutrient Intake in a Growing China: Does Household Heterogeneity Matter?," World Development, Elsevier, vol. 77(C), pages 171-191.
    7. Prina, Silvia & Royer, Heather, 2014. "The importance of parental knowledge: Evidence from weight report cards in Mexico," Journal of Health Economics, Elsevier, vol. 37(C), pages 232-247.
    8. Fichera, Eleonora & von Hinke, Stephanie, 2020. "The response to nutritional labels: Evidence from a quasi-experiment," Journal of Health Economics, Elsevier, vol. 72(C).
    9. Matthieu Clément & Céline Bonnefond, 2014. "Does social class affect nutrition knowledge and food preferences among Chinese urban adults?," Post-Print hal-02147996, HAL.
    10. Marcel Fafchamps & Bart Minten, 2012. "Impact of SMS-Based Agricultural Information on Indian Farmers," The World Bank Economic Review, World Bank, vol. 26(3), pages 383-414.
    11. Linnemayr, Sebastian & Alderman, Harold, 2011. "Almost random: Evaluating a large-scale randomized nutrition program in the presence of crossover," Journal of Development Economics, Elsevier, vol. 96(1), pages 106-114, September.
    12. Brian E. Roe & David R. Just, 2009. "Internal and External Validity in Economics Research: Tradeoffs between Experiments, Field Experiments, Natural Experiments, and Field Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1266-1271.
    13. Shamdasani, Yogita, 2021. "Rural road infrastructure & agricultural production: Evidence from India," Journal of Development Economics, Elsevier, vol. 152(C).
    14. Ren, Yanjun & Li, Hui & Wang, Xiaobing, 2019. "Family income and nutrition-related health: Evidence from food consumption in China," Social Science & Medicine, Elsevier, vol. 232(C), pages 58-76.
    15. Jayachandran N. Variyam & James Blaylock & Biing-Hwan Lin & Katherine Ralston & David Smallwood, 1999. "Mother's Nutrition Knowledge and Children's Dietary Intakes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 373-384.
    16. Shimokawa, Satoru, 2013. "When does dietary knowledge matter to obesity and overweight prevention?," Food Policy, Elsevier, vol. 38(C), pages 35-46.
    17. Lubega, Patrick & Nakakawa, Frances & Narciso, Gaia & Newman, Carol & Kaaya, Archileo N. & Kityo, Cissy & Tumuhimbise, Gaston A., 2021. "Body and mind: Experimental evidence from women living with HIV," Journal of Development Economics, Elsevier, vol. 150(C).
    18. Shand, Calum & Crozier, Sarah & Vassilev, Ivaylo & Penn-Newman, Daniel & Dhuria, Preeti & Cooper, Cyrus & Rogers, Anne & Baird, Janis & Vogel, Christina, 2021. "Resources in women's social networks for food shopping are more strongly associated with better dietary quality than people: A cross-sectional study," Social Science & Medicine, Elsevier, vol. 284(C).
    19. Tian, Xu & Yu, Xiaohua, 2015. "Using semiparametric models to study nutrition improvement and dietary change with different indices: The case of China," Food Policy, Elsevier, vol. 53(C), pages 67-81.
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