Enterprise Survey Follow-up on COVID-19 2021, Round 3 - Zambia
收藏microdata.worldbank.org2021-11-17 更新2025-03-22 收录
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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.
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 follow-up surveys re-contact all establishments sampled in the standard ES using stratified random sampling.
Total sample target: 601
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
- Sales
- Production
- Labor
- Finance
- Policies
- Expectations
- Information on permanently closed establishments
- Interview protocol
Response rate
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95.1
{'Abstract': '作为世界银行集团深入理解COVID-19对私营部门影响的一部分,企业分析单元正在对多个国家近期完成的《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对私营部门产生的影响及调整措施的相关信息。', 'Geographic coverage': '国家层面', 'Analysis unit': '企业', 'Universe': '推断总体涵盖所有注册的拥有五名或以上员工的机构,这些机构从事以下使用ISIC Rev. 3.1定义的活动之一:制造业(D组)、建筑业(F组)、服务行业(G组和H组)、运输、仓储和通信业(I组)以及信息技术(K组的第72部分)', 'Kind of data': '样本调查数据 [ssd]', 'Sampling procedure': '后续调查通过分层随机抽样重新联系了标准ES中抽取的样本。', 'Mode of data collection': '计算机辅助电话访谈 [cati]', 'Research instrument': '问卷包含以下模块:
- 控制信息和简介
- 销售
- 生产
- 劳动力
- 金融
- 政策
- 预期
- 永久性关闭机构的详细信息
- 访谈协议', 'Response rate': '95.1%'}
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microdata.worldbank.org



