Resilience Index Measurement and Analysis, Mali, 2014 - Mali

Abstract
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Mali is a Sahelian country, landlocked and structurally vulnerable to food insecurity and malnutrition. The economy is heavily dependent on the primary sector: agriculture, livestock, fishing and forestry account for 68.0% of the active population1 . This sector is itself dependent on exogenous factors, mainly climatic, such as recurrent droughts. In 2018, the prevalence of food insecurity at the national level was 19.1%, of which 2.6% was severely food insecure. The most affected regions were Kidal, Gao, Timbuktu, Mopti and Kayes. The Global Food Crisis Network Partnership Programme baseline studies are designed to feed into the overall monitoring, evaluation, accountability and learning programme of each project. In this regard, the baseline study has short, medium and long-term objectives.

Geographic coverage
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Regional

Analysis unit
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Households

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The EAC-I 2014 has been designed to have national coverage, including both urban and rural areas in all the regions of the country except Kidal. The domains were defined as the entire country, district of Bamako, other urban areas, and rural areas; and in the rural areas: agricultural zones, agro-pastoral zones and pastoral zones. Taking this into account, 51 explicit sample strata were selected. The target population was drawn from households in all regions of Mali except Kidal which was not accessible for security reasons. Kidal also has very low population density.The sample was chosen through a random two stage process: - In the first stage, 1070 enumeration areas (EAs) were selected with Probability Proportional to Size (PPS) using the 2009 Census of Population as the base for the sample, and the number of households as a measure of size. - In the second stage o 3 households were selected with equal probability in each of the rural EAs o 9 households were selected with equal probability in each of the urban EAs The total estimated size of the sample for the survey was 4,218.

Mode of data collection
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Computer Assisted Personal Interview [capi]

Research instrument
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Please refer to the Questionnaires for the value labels of the variables.

Cleaning operations
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1. Data Entry & Data cleaning Data entry was performed at the CPS/SDR using a CSPro application designed by an international consultant recruited by the LSMS team. The data entry program allows three types of data checks: (1) range checks; (2) intra-record check to verify inconsistencies pertinent to the particular module of the questionnaire; and (3) inter-record checks to determine inconsistencies pertinent between the different modules of the questionnaire. Data entry for the first visit was done from August 11th, 2014 to November 30th, 2014 and, from February 9th 2015 to March 27th, 2015 for the second visit. Data cleaning was done from May 2015 to July 2015. Data cleaning was done in a CSPro application. The data cleaning focused on more intra-record and inter-record checks.

摘要
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马里为萨赫勒地区的一个内陆国家，在结构上易受粮食不安全和营养不良的影响。其经济高度依赖初级产业：农业、畜牧业、渔业和林业占到了活跃人口的68.0%。该产业本身又依赖于外生因素，主要是气候因素，如反复出现的干旱。2018年，全国范围内的粮食不安全状况普遍率为19.1%，其中严重粮食不安全率为2.6%。受影响最严重的地区为基达尔、高阿、廷巴克图、莫普提和凯斯。全球粮食危机网络合作伙伴计划的基础研究旨在为每个项目的整体监测、评估、问责和学习计划提供支持。在此方面，基础研究设定了短期、中期和长期目标。
地理覆盖范围
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区域
分析单位
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家庭
数据类型
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样本调查数据 [ssd]
抽样程序
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2014年的EAC-I调查旨在实现全国覆盖，包括除基达尔外的所有地区的城市和农村地区。领域被定义为整个国家、巴马科区、其他城市地区和农村地区；在农村地区：农业区、农牧区和大牧场区。考虑到这一点，选定了51个明确的样本层。目标人群从马里所有地区的家庭中抽取，基达尔因安全原因无法访问，且人口密度极低。样本通过两阶段随机选择：- 在第一阶段，根据2009年人口普查中的家庭数量作为样本规模，使用按规模成比例的概率抽样（PPS）选择了1070个普查区（EAs）；- 在第二阶段，每个农村普查区中以等概率选择3个家庭，每个城市普查区中以等概率选择9个家庭。调查的估计样本总量为4,218。
数据收集方式
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计算机辅助个人访谈 [capi]
研究工具
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请参阅问卷以获取变量的值标签。
数据清洗操作
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1. 数据录入与数据清洗在CPS/SDR中，使用由LSMS团队招募的国际顾问设计的CSPro应用程序进行了数据录入。数据录入程序允许进行三种类型的数据检查：（1）范围检查；（2）记录内检查，以验证与问卷特定模块相关的矛盾；（3）记录间检查，以确定与问卷不同模块之间的矛盾。第一次访问的数据录入于2014年8月11日至11月30日进行，第二次访问的数据录入于2015年2月9日至3月27日进行。数据清洗于2015年5月至7月进行。数据清洗在CSPro应用程序中进行。数据清洗主要侧重于更多的记录内和记录间检查。