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Using semiparametric models to study nutrition improvement and dietary change with different indices: The case of China

机译:使用半参数模型研究不同指标下的营养改善和饮食变化:以中国为例

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In company with rapid economic growth, Chinese consumers have seen a remarkable nutrition improvement and a dramatic dietary change. This article investigates the driving forces behind these changes with use of the China Health and Nutrition Survey (CHNS) data. This paper first proposes 10 different indices to measure nutrition improvement and dietary change from different perspectives, and then adopts semiparametric panel data models to capture the complicated nonlinear relationship between these nutrition indices and income growth, while controlling for other variables parametrically. This enables us to directly predict the nutrition improvement and dietary change at different income levels from different aspects. This paper particularly finds that nutrition improvement and dietary change will continue in China but will slow down in the future with further income growth. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在经济高速增长的公司中,中国消费者的营养得到了显着改善,饮食发生了巨大变化。本文使用中国健康与营养调查(CHNS)数据调查了这些变化背后的驱动力。本文首先从不同角度提出了10个不同的指标来衡量营养改善和饮食变化,然后采用半参数面板数据模型来捕获这些营养指标与收入增长之间的复杂非线性关系,同时以参数方式控制其他变量。这使我们能够从不同方面直接预测不同收入水平的营养改善和饮食变化。本文特别发现,营养改善和饮食变化在中国将继续存在,但随着收入的进一步增长,未来将放缓。 (C)2015 Elsevier Ltd.保留所有权利。

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