Informal Businesses COVID-19 Impact Survey 2021, Round 1 - Zimbabwe

Abstract
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As part of the efforts of the World Bank Group to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting follow-up surveys on recently completed Enterprise Surveys (ES) in several countries. These short surveys follow the baseline ES and are designed to provide quick information on the impact and adjustments that COVID-19 has brought about in the private sector.
The Zimbabwe Informal Businesses COVID-19 Impact Survey is different from the standard follow-up survey conducted by the unit in other countries, the major difference veing that this is not a follow-up survey.

Geographic coverage
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National

Analysis unit
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Enterprise

Universe
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The universe of inference is all registered establishments with five or more employees that are engaged in one of the following activities defined using ISIC Rev. 3.1: manufacturing (groupd D), construction (group F), services sector (groups G and H), transport, storage, and communcations sector (group I) and information technology (division 72 of group K)

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The sample for the survey was selected using stratified random sampling, broadly following similar methodology explained in the ES Sampling Note. However, unlike ES that uses three levels of stratification (size, location, and sector), this survey uses two levels of stratification, namely location/region of the informal busines and the gender of the main business owner.

Stratifies random sampling was preferred over simple random sampling for several reasons:
a. To obtain unbiased estimates for different subdivisions of the population with some known level of precision
b. To obtain unbiased estimates for the whole population. The whole population, or universe of the study, is informal sector businesses operating in Zimbabwe. Informality is defined as any business that doesn't have registration from Zimbabwe Registrar of Companies.
c. To make sure that the final total sample includes establishments from different regions and from businesses owned by male and femal.
d. To exploit the benefits of stratifies sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e. lower standard errors, other things being equal.)
e. Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous.
f. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.

Total sample target: 1020

Mode of data collection
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Computer Assisted Telephone Interview [cati]

Research instrument
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The questionnaire contains the following modules:
- Control information and introduction
- General information
- Sales and operations
- Production
- Labor force
- Finance
- Policies and prospects
- Registration
- Information on permanently closed establishments
- Interview protocol

Response rate
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37.8%

摘要
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在世界银行集团致力于探究COVID-19对私营部门影响的努力中，企业分析单元正在对若干国家近期完成的《企业调查》（ES）进行后续调查。这些简短的调查紧随基线ES之后，旨在迅速提供COVID-19对私营部门所产生的影响及调整的信息。

津巴布韦非正式商业COVID-19影响调查与该单位在其他国家执行的常规后续调查存在显著差异，主要区别在于这不是一个后续调查。

地理覆盖范围
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全国

分析单元
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企业

推断总体
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推断总体包括所有注册的、拥有五名或以上员工且从事以下活动之一的机构，这些活动使用ISIC Rev. 3.1进行定义：制造业（D组）、建筑业（F组）、服务业（G组和H组）、运输、仓储和通信部门（I组）以及信息技术（K组第72部分）。

数据类型
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样本调查数据 [ssd]

抽样程序
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调查样本采用分层随机抽样方法选取，大致遵循《ES抽样指南》中解释的方法。然而，与采用三级分层（规模、位置和行业）的ES不同，此次调查采用两级分层，即非正式商业的地理位置/区域以及主要商业所有者的性别。

分层随机抽样优于简单随机抽样，原因如下：
a. 为了获得对不同人口子集的无偏估计，并保证一定的精确度
b. 为了获得对整个人口的无偏估计。整个研究的人口总体是津巴布韦的非正式商业。
非正式的定义为任何未从津巴布韦公司注册员处获得注册的营业。
c. 确保最终的总样本包括来自不同地区以及由男性和女性拥有的企业。
d. 充分利用分层抽样的优势，在大多数情况下，人口估计将比使用简单随机抽样方法更为精确（即标准误差更低，其他条件相等）
e. 分层可能产生的估计误差界限比相同规模的简单随机样本产生的误差界限更小。这一结果在层内测量同质的情况下尤为显著。
f. 通过将人口元素分层到方便的分组中，可以降低调查中每个观察的成本。

总样本目标：1020

数据收集方式
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计算机辅助电话访谈 [cati]

研究工具
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问卷包含以下模块：
- 控制信息和介绍
- 一般信息
- 销售和运营
- 生产
- 劳动力
- 财务
- 政策和前景
- 注册
- 永久性关闭机构的详细信息
- 访谈协议

回应率
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37.8%