印度的营养反应如何?一些最近的证据

IF 6.8 1区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Food Policy Pub Date : 2023-01-01 DOI:10.1016/j.foodpol.2022.102379
Jaya Jumrani
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引用次数: 0

摘要

营养摄入与收入之间的关系是一个具有重大政策意义的问题,尤其是在发展中国家。本文利用来自印度的大规模家庭数据,分析了农村和城市地区的宏量营养素和微量营养素摄入量如何响应收入变化。它还调查了食物消费模式如何随着时间的推移而变化。首先,本文采用不同的估计方法,即参数、半参数和非参数估计模型,以获得三种宏量营养素和四种必需微量营养素的最新和稳健的营养收入弹性估计。参数(OLS)卡路里消耗弹性低于蛋白质和脂肪的估计。微量营养素也产生了正的和统计上显著的弹性。在参数(IV)估计方面,弹性也随着时间的推移而下降,并且具有比参数(OLS)估计更低的幅度。与蛋白质、脂肪和微量营养素的摄入相比,热量摄入对收入的变化不太敏感。根据参数(OLS和IV)估计,钙是对收入响应最大的微量营养素,而锌是最小的。首选的半参数估计策略为收入影响提供了充分的灵活性,同时也参数化地控制了额外的协变量,有助于确定营养摄入和收入之间的真实关系。与参数估计一致,弹性是正的,具有统计学意义。增广半参数弹性解决了内生性问题,比非增广半参数弹性低。半参数弹性曲线描述了营养物质需求与收入之间的关系确实是非线性的、非单调的。这项研究的结果表明,评估收入对整个收入分配的影响是至关重要的,而不仅仅是在手段上。即使在弹性较低的时候,这种弹性对穷人来说也总是更为明显,因为穷人最容易受到营养不良的影响。该研究进行了一系列检查,进一步证明了主要发现的稳健性。鉴于印度目前的营养经济状况,本研究的结果将有助于设计适当的未来营养干预措施和公共卫生政策。
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How responsive are nutrients in India? Some recent evidence

The relationship between nutrient intake and income is an issue of huge policy relevance, especially in the developing world. Using large-scale household-level data from India, this paper analyzes how macronutrient and micronutrient intakes respond to changes in income in both rural and urban areas. It also investigates how food consumption patterns change over time. In a first, this paper employs different estimation approaches i.e., parametric, semi-parametric and non-parametric estimation models to obtain more recent and robust nutrient-income elasticity estimates for three macronutrients and four essential micronutrients. The parametric (OLS) calorie-expenditure elasticities were lower than those estimated for protein and fat. Micronutrients also yielded positive and statistically significant elasticities. In terms of the parametric (IV) estimation, elasticities also declined over time and had lower magnitudes than the parametric (OLS) estimates. Relative to protein, fat and micronutrient intakes, caloric intakes are less sensitive to changes in income. According to parametric (OLS and IV) estimation, calcium is the most income-responsive micronutrient, while zinc is the least. The preferred semi-parametric estimation strategy provides full flexibility to income effects while also simultaneously controlling for additional covariates parametrically, assisting in determining the true relationship between nutrient intake and income. Consistent with the parametric estimation, elasticities were positive and statistically significant. The augmented semi-parametric elasticities, which address endogeneity concerns, were lower than the non-augmented ones. The semi-parametric elasticity curves depict that the relationship between demand for nutrients and income is indeed non-linear and non-monotonic. The findings from this research demonstrate that it is critical to evaluate the effect of income across the entire income distribution, and not just at the means. Even when the elasticities are low, they are always more pronounced for the poor, who are the most vulnerable to malnutrition. The study conducts a battery of checks that further lend credence to the robustness of the main findings. Given the current landscape of India’s nutrition economy, the findings of this study would serve to be useful for designing apt future nutritional interventions and public health policies.

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来源期刊
Food Policy
Food Policy 管理科学-农业经济与政策
CiteScore
11.40
自引率
4.60%
发文量
128
审稿时长
62 days
期刊介绍: Food Policy is a multidisciplinary journal publishing original research and novel evidence on issues in the formulation, implementation, and evaluation of policies for the food sector in developing, transition, and advanced economies. Our main focus is on the economic and social aspect of food policy, and we prioritize empirical studies informing international food policy debates. Provided that articles make a clear and explicit contribution to food policy debates of international interest, we consider papers from any of the social sciences. Papers from other disciplines (e.g., law) will be considered only if they provide a key policy contribution, and are written in a style which is accessible to a social science readership.
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