Assessing the Asymmetric Effect of Global Climate Anomalies on Food Prices: Evidence from Local Prices

Lotanna E. Emediegwu
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Abstract

This paper uses time-varying smooth transition autoregressive model to investigate the asymmetric nature of El Niño Southern Oscillation (ENSO) —an exogenous climatic factor—with respect to the nonlinear dynamics of food prices in sub-Saharan Africa. Curating food price series from more than 1100 markets from 36 SSA countries, the study finds that ENSO (linearly or nonlinearly) affects roughly half of food prices considered, with most nonlinear models exhibiting strong asymmetric properties with shock-inflicted persistence. Moreover, in terms of the location of the burden of ENSO impact, I find a geographical and food product divide. Specifically, ENSO appears to be more efficacious on maize prices in Southern, Eastern, and some parts of Central Africa. Conversely, local rice, cassava, millet, and animal products are least affected. The policy implication of this dichotomy is that response to ENSO news should be subregion-specific rather than region-specific, depending on how the subregions absorb the shock.

Abstract Image

评估全球气候异常对粮食价格的不对称影响:来自当地价格的证据
本文使用时变平稳过渡自回归模型研究厄尔尼诺南方涛动(ENSO)--一种外生气候因素--对撒哈拉以南非洲地区粮食价格非线性动态的非对称性质。通过对 36 个撒哈拉以南非洲国家 1100 多个市场的粮食价格序列进行整理,研究发现厄尔尼诺/南方涛动(线性或非线性)影响了大约一半的粮食价格,大多数非线性模型表现出强烈的非对称特性,并具有冲击引起的持续性。此外,从厄尔尼诺/南方涛动影响的位置来看,我发现了地理和食品产品的差异。具体而言,厄尔尼诺/南方涛动似乎对南部非洲、东部非洲和中部非洲部分地区的玉米价格影响更大。相反,当地的大米、木薯、小米和动物产品受到的影响最小。这种二分法的政策含义是,对厄尔尼诺/南方涛动消息的反应应针对具体的次区域,而不是具体的区域,这取决于次区域如何吸收冲击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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