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India's calorie consumption puzzle: insights from the stochastic cost frontier analysis of calorie purchases

机译:印度的卡路里消费拼图:卡路里购买随机成本前沿分析的见解

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摘要

Between the early 1970s and very nearly the present, Indians' per capita calorie consumption declined. This decline, perplexing in the face of rising per capita income when malnutrition is rampant, has been termed India's Calorie Consumption Puzzle. It has been partially attributed to a squeeze in the household food budget. This study employs Stochastic Cost Frontier Analysis to evaluate this explanation, upon the logic that such a squeeze shall likely result in the rising cost-efficiency of calorie purchases, that is, the more economical purchase of calories. Analysis of household expenditure data from India's National Sample Survey reveals that Indian households' purchase of calories did become more cost-efficient at every level of income, suggesting that there was indeed a squeeze in the household food budget, making this a viable explanation of the Calorie Consumption Puzzle. Besides thus investigating India's Calorie Consumption Puzzle, this study demonstrates a novel application of Stochastic Cost Frontier Analysis, to consumption instead of the more common production, in that the method has not previously been applied to the consumption of multiple items treated as inputs yielding an output. Stochastic Cost Frontier Analysis applied to calorie acquisition may be a new way of gauging changes over time in food security, with a rise in cost-efficiency indicating a squeeze in the food budget or declining food security.
机译:在20世纪70年代初,非常近现在,印度人的人均卡路里消费量下降。这种下降,面对营养不良猖獗的人均收入上升的困惑,已被称为印度的卡路里消费难题。它已被部分归因于家庭食品预算中的挤压。本研究采用随机成本前沿分析来评估这种解释,因为这种挤压可能导致卡路里购买成本效率上升的逻辑,即更经济地购买卡路里。来自印度国家样本调查的家庭支出数据的分析表明,印度户口购买卡路里的热量在每一层收入都变得更具成本效益,这表明家庭食品预算中确实挤压,这是一个可行的解释卡路里消费拼图。除此之外,该研究除了调查印度的卡路里消费难题,该研究表明了随机成本前沿分析的新颖应用,消费代替更常见的生产,因为该方法以前尚未应用于作为输出的输入处理的多个项目的消耗。随机成本前沿分析应用于卡路里的收购可能是一种新的粮食安全时间变化的新方法,其成本效率上升,表明食品预算中的挤压或粮食安全下降。

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