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2019冠状病毒病、地方政府的信息管理与食品消费

COVID-19, information management by local governments, and food consumption.

作者信息

Pandey Vivek, Singh Shyam, Kumar Deepak

机构信息

Institute of Rural Management Anand, India.

Verghese Kurien Policy Lab, IRMA, India.

出版信息

Food Policy. 2022 Jul;110:102278. doi: 10.1016/j.foodpol.2022.102278. Epub 2022 May 26.

Abstract

Federal and state governments in developing countries have tasked local governments with managing COVID-19 on the ground. The bottom-up approach is critical to ensuring household food security, especially in rural areas. We have utilized data from a panel of Indian households that participated in two rounds of a livelihoods survey. While the first round was fielded before COVID-19, the second round was conducted telephonically after the COVID-19-lockdown. We developed an Information Management Response Index (IMRI) to measure the strength of local governments' information management initiatives. The difference-in-difference estimates show that local governments could partially mitigate the pandemic's adverse effects on (a) level and distribution (adult-equivalent per-capita) of food and nutrition expenditure and (b) household vulnerability to food and nutrition poverty. For landless households, IMRI led to statistically significant and additional welfare effects. Three channels explain our empirical findings: (a) maintenance of essential commodities through fair-price shops, (b) access to paid employment and cash (income effect), and (c) disease management (substitution effect). The estimates have been adjusted for sample attrition and multiple-hypothesis correction. We conducted robustness checks with respect to index construction, instrumental variable estimation, and sub-group analysis.

摘要

发展中国家的联邦和州政府已将新冠疫情的管理工作交给地方政府负责。自下而上的方法对于确保家庭粮食安全至关重要,尤其是在农村地区。我们利用了一组参与两轮生计调查的印度家庭的数据。第一轮调查是在新冠疫情之前进行的,而第二轮调查是在新冠疫情封锁之后通过电话进行的。我们制定了一个信息管理应对指数(IMRI)来衡量地方政府信息管理举措的力度。双重差分估计表明,地方政府可以部分减轻疫情对以下两方面的不利影响:(a)食品和营养支出的水平及分配(按成人当量计算的人均支出),以及(b)家庭面临食品和营养贫困的脆弱性。对于无地家庭,IMRI产生了具有统计学意义的额外福利效应。有三个渠道可以解释我们的实证研究结果:(a)通过平价商店维持基本商品供应,(b)获得有偿就业和现金(收入效应),以及(c)疾病管理(替代效应)。估计结果已针对样本损耗和多重假设校正进行了调整。我们针对指数构建、工具变量估计和子群体分析进行了稳健性检验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca48/9132884/34206073cc51/gr1_lrg.jpg

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