2022
DOI: 10.1016/j.jrurstud.2022.07.022
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Inter- and intra-annual changes in food consumption among rural households in East China

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Cited by 5 publications
(7 citation statements)
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“…The questionnaire was structured to capture the self‐reported 13 indicators of SAIS, as well as the potential determinants (e.g., household socio‐demographic characteristics, seasonality, place of residence, infection, perceptions) identified in the literature review (Table S1). Notably, previous research on HFC has commonly relied on self‐reported data (Filimonau et al, 2022; Li et al, 2022; Visschers et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The questionnaire was structured to capture the self‐reported 13 indicators of SAIS, as well as the potential determinants (e.g., household socio‐demographic characteristics, seasonality, place of residence, infection, perceptions) identified in the literature review (Table S1). Notably, previous research on HFC has commonly relied on self‐reported data (Filimonau et al, 2022; Li et al, 2022; Visschers et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The constructed model for exploring the drivers behind sustainability of HFC based on the OLS regression model was as follows: italicSSi=α+β1x1i+β2x2i++β21x21i, where the dependent variable italicSSi represents the standardized score of sustainability for household i ( i = 1, 2, 3, …, 799); the independent variables x 1 – x 21 correspond to factors that influence sustainability of HFC, which are described as below: Seasonal and regional variables of the season, area (rural or urban), and geographical region are set as x 1 , x 2 and x 3 , respectively. The seasonal variable, reflecting temporal variations in food consumption behaviors during different survey periods, plays a pivotal role influenced by dietary preferences, produce availability, and cultural eating habits nationwide (Li et al, 2022; Stelmach‐Mardas et al, 2016). Despite China's climatic diversity, seasonal influences on food consumption reveal consistent patterns across regions.…”
Section: Methodsmentioning
confidence: 99%
“…On the one hand, household income serves as the foundation for rural residents' consumer decision making. Rural residents with higher household incomes are more likely to purchase high-quality and upscale products and services, whereas those with lower household incomes tend to focus more on price and practicality [31,32]. Household income directly drives the process of consumption upgrading.…”
Section: The Influence Of Household Income and Education Level On Con...mentioning
confidence: 99%
“…In this study, we did not obtain the seasonal variation of household dietary status, due to the limitations of our dataset, which was generated from the limited data collection activities. However, seasonal changes in household daily food should not be ignored [44,45]. The seasonal variations of household dietary status depend on more seasonal data collection, which is restricted by the budget and feasibility of local surveys.…”
Section: Influences Of Household Dietary Patternsmentioning
confidence: 99%