印度家庭外出就餐支出的社会人口和经济决定因素--来自印度人类发展调查(IHDS)II 的证据。

IF 1.9 Q3 NUTRITION & DIETETICS Nutrition and health Pub Date : 2024-12-01 Epub Date: 2022-12-15 DOI:10.1177/02601060221139571
Swapnil Godbharle, Angeline Jeyakumar, Hema Kesa
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引用次数: 0

摘要

背景:"外出就餐(EO)"在各国和印度都有显著增长。从经济角度了解饮食行为对于认识粮食系统和营养转型至关重要。目的:我们的工作将印度的人均收入和邦国内生产总值的宏观数据与外出就餐的家庭支出进行了比较。利用印度人类发展调查 II 的微观数据,我们研究了家庭外出就餐支出的社会人口和经济决定因素。研究方法研究设计是对印度人类发展调查 II 中的 N = 42,152 个家庭样本进行二次数据分析。其中包括社会人口和经济预测因素,如宗教、种姓、居住地、工作迁移、教育程度、家庭成员数量、收入来源、年总收入、消费支出和贫困状况。结果在使用国内生产总值和人均收入进行宏观经济比较时,没有发现一致的趋势。逻辑回归结果显示,保留种姓类别 OBC [COR 1.2 (1.1-1.2)] 和在册种姓/在册部落/其他 [COR 1.1 (1-1.1)]、户主教育程度达到中学 [COR 0.4 (0.4-0.5)] 和高中及以上 [COR 0.7 (0.6-0.8)] 、城市居住地 [COR 0.55 (0.53-0.58)] 、有組織行業[COR 0.7 (0.6-0.7)] 作為收入來源、較高的年收入[COR 0.52 (0.50-0.54)] 、較高的年消費開支[COR 0.44 (0.42-0.46)] 及高於貧窮線[COR 2.1 (1.9-2.2)] 均與外出用膳的開支有顯著的正向關係(p = 結論):这项分析证实,家庭收入的增加以及其他人口统计因素会增加外出就餐的频率。然而,在使用国内生产总值和人均收入进行的宏观经济评估中,这种趋势仍不一致。
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Socio-demographic and economic determinants of household expenditure on eating out in India - Evidence from India Human Development Survey (IHDS) II.

Background: 'Eating out (EO)' has witnessed a significant increase across nations and in India. Understanding food behaviour from an economic standpoint is essential to recognize food systems and nutrition transition. Aim: Our work compared the macro-data on per capita income and gross state domestic product from India with household expenditure on eating out. Using the India Human Development Survey II micro-data we studied the socio-demographic and economic determinants of household expenditure on eating out. Methods: The study design is a secondary data analysis of India Human Development Survey II from a sample of N = 42,152 households. It included socio-demographic and economic predictors, such as religion, caste, residence, migration for work, education, number of household members, income source, total annual income, consumption expenditure and poverty status. Results: No consistent trends emerged in the macroeconomic comparisons using gross state domestic product and per capita income. Results of logistic regression showed that the reserved caste categories OBC [COR 1.2 (1.1-1.2)] and SC/ST/Others [COR 1.1 (1-1.1)], household heads education up to secondary [COR 0.4 (0.4-0.5)] and higher secondary and above [COR 0.7 (0.6-0.8)], urban place of residence [COR 0.55 (0.53-0.58)], organised sector [COR 0.7 (0.6-0.7)] as the income source, higher annual income [COR 0.52 (0.50-0.54)], higher annual consumption expenditure [COR 0.44 (0.42-0.46)] and above poverty line [COR 2.1 (1.9-2.2)] were significantly positively associated with expenditure on eating out (p = <0.05). All these variables stayed significant in the multinomial regression model as well. Conclusion: This analysis confirms the increase in household income along with other demographics, increases the frequency of eating out. However, such trends remained inconsistent in macroeconomic assessments using gross state domestic product and per capita income.

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来源期刊
Nutrition and health
Nutrition and health Medicine-Medicine (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
160
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