Integrated Business Establishments Survey 2019 - South Sudan

Abstract
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The main objective of undertaking this survey of 2019 is to generate data that are statistically representative for urban businesses operating in the country with a fixed location; with the aim of bridging the information or data gaps those were created by the conflict on businesses in the country.

The specific objectives will be to:

- Obtain the spread of businesses by economic activity
- Determine the employment in businesses by sex
- Determine the ownership status of businesses
- Determine the location of businesses in the country
- Determine the age of businesses and status of computer use and ownership.
- Determine the cost and profit structure of businesses as well as the inventory
- Determine the perception of regulations and doing business
- Determine the impact of the conflict on businesses

Geographic coverage
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Coverage of business establishments in the 12 most populated urban areas of South Sudan in 2019. Towns included are Aweil, Bor, Juba, Kuajok, Maridi, Nimule, Renk, Rumbek, Tonj, Torit, Wau and Yambio.

Analysis unit
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Businesses

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The IBES 2019 generated the required Business Register for business establishments in South Sudan, which can be used for any business establishment survey. For enterprise surveys, an Establishment Censuses (EC) or business registries undertaken by a country at regular intervals generally provide the sampling frame, giving a count of enterprises and workers by broad industry group at the primary level of geographical units. In South Sudan there is no establishment census or useable business registry that has ever been undertaken, and in such circumstances, the listing of businesses/enterprises and workers by broad industry group in the concerned geographic areas was used as the only option. As it was done for the IBES 2010, the listing of all enterprises and workers (in formal and informal sectors) by broad industry group for the selected 12 major towns/cities that took place in June-July 2018 listed 13, 348 businesses that served as the sampling frame for the IBES 2019. This listing process collected minimum required information for sampling frame purposes, such as name and location of each business establishments, the main economic activity of the business in ISIC format, number of workers/employees, registration status, maintaining regular accounts or not and the year of establishment, among others.

Formal and Informal Sectors:
The existing definition of formal business used in IBES 2010 as described above had limitations due to the fact that it did not consider the registration status with tax government agency (i.e. value added tax and/or income tax), and the status of keeping accounts, which was recommended and implemented in IBES 2019. The required information for the new definition of “formal sector” was also collected during the listing operation.

Using the information collected from the listing operation, about 55 percent of listed business establishments were formal irrespective of the employment size. However, when the employment size factor was considered, i.e. adding a third condition of having 6 or more employees (Medium and Large business establishments), only about 10.7 percent of business establishments were classified as “formal sector”. Given also the fact that the average number of employees per surveyed enterprises in 2010 was 2.7, and that about 58.7 percent of listed business establishments had 0-2 employees, it was highly important to have proper definition of Micro, Small, Medium and Large enterprises in terms of number of employees for sampling purposes. Based on the information of the IBES 2019 listing operation, table 3 describes the distribution of listed business establishments by different size of employment. It is observed that 13.8 percent of listed business establishments are classified as medium and large.

Sampling and stratification:
The IBES 2019 sampling frame includes 13,348 business establishments from both formal and informal sectors based on the new definition. In order to improve the sampling efficiency for business surveys, it was important to stratify the business enterprises in the frame by size of employment, generally defined in terms of the total number of employees. Therefore, the frame was stratified by the following categories of employment size:

- 0-2 employees
- 3-5 employees
- 6-9 employees
- 10+ employees

The reasons of proposing these categories of employment size for stratification are that in developing countries, business environment is largely composed of informal sector where the majority of business establishments are micro and small in nature. For example, many business establishments are small shops in the neighborhood, and often owned by households, and most of the time, the family will employee 1 or 2 people to work in such shops. For business surveys, it is very important to stratify them under such small employment size to capture the reality on the ground. The same employment size category is also used to allow comparability with IBES 2010 survey. Given the important contribution of the medium and larger business enterprises to the value of production, capital investment, value added and other measures of the economy, and comparability with IBES 2010, it was important to include all the business establishments with 6 or more employees in the IBES 2019 sample with certainty (that is, with a probability of selection equal to 1). Therefore, there were 1,838 business establishments with 6 or more employees for all economic sectors in the sampling frame.

Mode of data collection
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Computer Assisted Personal Interview [capi]

Research instrument
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The questionnaire is structured.

Response rate
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The response rate for the IBES 2019 was 87 percent.

摘要
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本次2019年调查的主要目的是生成具有统计学代表性的数据，以反映在该国固定地点运营的城市商业企业的状况；旨在弥合由该国商业冲突所造成的或数据缺口。
具体目标包括：
- 获取按经济活动分布的商业企业情况
- 确定商业企业的就业性别分布
- 确定商业企业的所有权状况
- 确定商业企业在国家内的地理位置
- 确定商业企业的年龄、计算机使用和所有权状况
- 确定商业企业的成本和利润结构以及库存情况
- 确定对法规和商业活动的认知
- 确定冲突对商业企业的影响
地理覆盖范围
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覆盖了2019年南苏丹12个最人口密集的城市地区的商业企业。包括的城镇有：阿维尔、博尔、朱巴、库亚克、马里迪、尼穆莱、伦克、伦贝克、通加、托里特、瓦乌和亚姆博。
分析单位
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商业企业
数据类型
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样本调查数据 [ssd]
抽样程序
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2019年IBES生成了南苏丹商业企业的所需商业登记册，可用于任何商业企业调查。对于企业调查，国家定期进行的建立普查（EC）或商业登记通常提供抽样框架，给出地理单元一级按广义行业组的企业的数量和工人数量。在南苏丹，从未进行过建立普查或可用的商业登记，在这种情况下，使用按广义行业组在相关地理区域内列出的企业/企业和工人作为唯一选项。与2010年IBES的做法相同，2018年6月至7月选定的12个主要城镇/城市中所有企业/企业和工人（正式和非正式部门）的按广义行业组列出的列表，共列出了13,348家企业，这些企业作为2019年IBES的抽样框架。此列表过程收集了用于抽样框架的最少所需信息，例如每个商业企业的名称和位置、业务的主要经济活动（以ISIC格式）、工人/雇员数量、注册状态、是否保持定期账户以及成立年份等。
正式和非正式部门：
IBES 2010中使用的正式商业的现有定义由于未考虑与税务机关（即增值税和/或所得税）的注册状态以及保持账户的状态而存在局限性。在IBES 2019中，也收集了新定义“正式部门”所需的信息。使用从列表操作收集的信息，约55%的列出的商业企业是正式的，不受就业规模的影响。然而，当考虑就业规模因素时，即添加第三个条件，拥有6人或更多员工（中型和大型企业），只有约10.7%的商业企业被归类为“正式部门”。鉴于2010年调查中调查企业的平均员工数为2.7，以及约58.7%的列出的商业企业有0-2名员工，因此对按员工数量划分的微型、小型、中型和大型企业进行适当的定义对于抽样目的至关重要。根据2019年IBES列表操作的信息，表3描述了按不同就业规模分布的列出的商业企业。观察到13.8%的列出的商业企业被归类为中型和大型。
抽样和分层：
2019年IBES的抽样框架包括基于新定义的正式和非正式部门13,348个商业企业。为了提高商业调查的抽样效率，按就业规模对框架中的商业企业进行分层至关重要，通常以总员工数量来定义。因此，框架按以下就业规模类别进行分层：
- 0-2名员工
- 3-5名员工
- 6-9名员工
- 10名以上员工
提出这些就业规模类别进行分层的理由是，在发展中国家，商业环境主要由非正式部门组成，其中大多数商业企业本质上是微型和小型。例如，许多商业企业是邻里中的小型商店，通常由家庭拥有，并且大多数时候，家庭成员会雇佣1人或2人在这样的商店工作。对于商业调查，将这些企业按如此小的就业规模进行分层以反映实际情况非常重要。相同的就业规模类别也用于允许与IBES 2010调查的可比性。鉴于中型和大型商业企业在产值、资本投资、增值和其他经济指标方面的重要贡献，以及与IBES 2010的可比性，确保将所有拥有6人或更多员工的商业企业纳入2019年IBES样本至关重要（即，具有等于1的选择概率）。因此，在抽样框架中，所有经济部门共有1,838个拥有6人或更多员工的商业企业。
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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问卷结构化。
响应率
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2019年IBES的响应率为87%。