Resilience Firm Survey 2018 - Tanzania

Abstract
---------------------------

The RFS In Tanzania was conducted in three major cities, Dar es Salaam, Tanga and Dodoma, between September and November 2018. The survey focused on firms in manufacturing and service industries and the data was collected via in-person interviews. The survey focused on how firms are affected by floods and which strategies they use to cope and adapt, Impact of flooding considers both direct damages and indirect effects through infrastructure systems, supply chains and workers.

This project was a collaborative effort between Global Facility for Disaster Reduction and Recovery (GFDRR) and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL).

Geographic coverage
---------------------------

Dar es Salaam, Dodoma, and Tanga

Analysis unit
---------------------------

- Firm level

Kind of data
---------------------------

Sample survey data [ssd]

Sampling procedure
---------------------------

The sampling frame consisted of the official business registry obtained from the National Bureau of Statistics' (NBS) in Tanzania. It contained a list of 58,959 firms in Dar es Salaam, Tanga, and Dodoma. Firms listed without a functioning telephone number were excluded from the sampling frame.

All registered firms were divided into five distinct strata, depending on their reliance on transport systems. Ordered from low to high transport reliance, these strata contain firms from the following sectors:
1 Accommodation and food service activities, Construction
2 Communication and other services
3 Manufacturing, Mining, Water, Energy, Agriculture
4 Transportation and storage
5 Wholesale and retail trade, Repair of motor vehicles and motorcycles

The sample selection was completed in one stage, with firms selected through a systematic random sampling method from each stratum. In terms of regional distribution, the sample contains 623 firms from Dar es Salaam, 101 from Dodoma, and 113 from Tanga. About 10 percent of listed firms were interviewed, with the main reasons for the low response rate being incorrect addresses, expectation of payment for survey participation, and concerns about disclosure of tax-relevant information.

All survey results, using the survey weights computed, should be interpreted as representative of private businesses located in the 3 cities Dar es Salaam, Dodoma, and Tanga and registered in the NBS business registry with phone access.

Mode of data collection
---------------------------

Computer Assisted Personal Interview [capi]

Research instrument
---------------------------

• Firm characteristics
o Sector
o Number of workers
• Infrastructure dependence and disruptions
o Water
o Electricity
o Communication (phone and internet)
• Suppliers
• Workers and transport disruptions
• Clients
• Most serious natural shock that affected the firm
• Operational costs
• Investments

Cleaning operations
---------------------------

The following data editing was done for anonymization purposes:
- Precise location data, such as GPS coordinates, and;
- Identifying information, such as firm names, respondent names, phone numbers and emails contacts, were dropped

Response rate
---------------------------

About 10 percent of listed firms were interviewed, with the main reasons for the low response rate being incorrect addresses, expectation of payment for survey participation, and concerns about disclosure of tax-relevant information.

摘要
---------------------------
2018年9月至11月，在坦桑尼亚的达累斯萨拉姆、塔纳和多多马三个主要城市进行了RFS调查。本次调查聚焦于制造业和服务业的企业，并通过面对面访谈收集数据。调查重点在于了解企业受洪水影响的情况以及他们应对和适应的策略。洪水影响评估既考虑了直接损害，也考虑了通过基础设施系统、供应链和工人产生的间接影响。

本项研究是全球减灾与恢复设施（GFDRR）与城市、灾害风险管理、韧性及土地全球实践（GPURL）之间的合作成果。

地理覆盖范围
---------------------------
达累斯萨拉姆、多多马和塔纳

分析单元
---------------------------
- 企业层面

数据类型
---------------------------
样本调查数据 [ssd]

抽样程序
---------------------------
抽样框架由来自坦桑尼亚国家统计局（NBS）的官方商业注册名录构成，包含达累斯萨拉姆、塔纳和多多马三地的58,959家企业名单。无有效联系电话的企业被排除在抽样框架之外。

所有注册企业根据其对交通系统的依赖程度分为五个不同的层级。从低到高排序的层级包括以下行业的企业：
1 住宿和餐饮服务活动，建筑
2 通信及其他服务
3 制造业、采矿业、水、能源、农业
4 交通运输和仓储
5 批发和零售贸易，汽车和摩托车维修

样本选择在一个阶段完成，通过从每个层级采用系统随机抽样方法选择企业。在区域分布方面，样本包含达累斯萨拉姆623家企业，多多马101家，塔纳113家。大约10%的注册企业接受了访谈，低响应率的主要原因包括地址错误、期望获得调查参与报酬以及担忧披露与税务相关的信息。

所有调查结果，在使用计算出的调查权重后，应被视为代表位于达累斯萨拉姆、多多马和塔纳三座城市并注册于国家统计局商业注册名录且具有电话接入的私营企业。

数据收集方式
---------------------------
计算机辅助个人访谈 [capi]

研究工具
---------------------------
• 企业特征
o 行业
o 工作人员数量
• 基础设施依赖和中断
o 水
o 电力
o 通信（电话和互联网）
• 供应商
• 工人和交通中断
• 客户
• 影响企业最严重的自然灾害
• 运营成本
• 投资

数据清理操作
---------------------------
为了匿名化数据，进行了以下数据编辑：
- 删除精确位置数据，例如GPS坐标；
- 删除识别信息，例如企业名称、受访者姓名、电话号码和电子邮件联系。

响应率
---------------------------
大约10%的注册企业接受了访谈，低响应率的主要原因包括地址错误、期望获得调查参与报酬以及担忧披露与税务相关的信息。