Enterprise Survey 2018 - Suriname
收藏microdata.worldbank.org2020-02-04 更新2025-01-22 收录
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Abstract
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The survey was conducted in Suriname between September 2018 and January 2019 by the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.
Geographic coverage
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National coverage
Analysis unit
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Unit of analysis is establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
Universe
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Suriname ES was based on the following size stratification: small (5 to 19 employees), medium-large (20 or more employees).
Kind of data
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Sample survey data [ssd]
Sampling procedure
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The sample for 2018 Suriname ES was selected using stratified random sampling, following the methodology explained in the Sampling Note.
Three levels of stratification were used in this country: industry, establishment size, and region.
Industry stratification was designed in the way that follows: the universe was stratified into two manufacturing industries and two services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Other Manufacturing (ISIC codes 16-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). Initial designs for the sample had fish and fruit/meat processing separately stratified from “other food manufacturing”. Due to small sample sizes, achieved numbers and other statistics are presented for these three sectors as “Food Manufacturing.”
For the Suriname ES, size stratification was defined as follows: small (5 to 19 employees), medium-large (20 or more employees).
Regional stratification for the Suriname ES was done across two regions: Paramaribo and Nickerie. Due to small sample sizes achieved in Nickerie, data are presented for both Paramaribo and Nickerie collectively.
Note: Refer to Sampling Structure section in "The Suriname 2018 Enterprise Surveys Data Set" document for further details on sampling.
Mode of data collection
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Face-to-face [f2f]
Research instrument
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The structure of the data base reflects the fact that 2 different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.
Response rate
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Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.
Item non-response was addressed by two strategies:
a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond (-8) as a different option from don’t know (-9).
b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response. The following graph shows non-response rates for the sales variable, d2, by sector. Please, note that for this specific question, refusals were not separately identified from “Don’t know” responses.
The number of interviews per contacted establishments was 24.0%.
摘要
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本调查于2018年9月至2019年1月由世界银行集团(WBG)在苏里南进行。企业调查的目的是深入了解私营部门企业的经历。作为其构建投资、就业创造和可持续增长氛围的战略目标的一部分,世界银行将改善商业环境作为发展关键战略,这导致了在各国收集企业数据的系统努力。企业调查(ES)是世界银行持续进行的项目,旨在收集基于企业经验的客观数据以及企业对其运营环境的感知。
地理覆盖范围
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全国覆盖
分析单位
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分析单位为法人实体。法人实体是指开展业务、进行工业操作或提供服务的地方。一家公司可能由一个或多个法人实体组成。例如,一家啤酒厂可能有几个灌装厂和几个分销法人实体。在本调查中,法人实体必须能够独立做出财务决策,并拥有与公司财务报表分开的独立财务报表。法人实体还必须拥有自己的管理和对其工资单的控制权。
总体
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苏里南企业调查基于以下规模分层:小型(5至19名员工)、中型至大型(20名或更多员工)。
数据类型
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样本调查数据 [ssd]
抽样程序
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2018年苏里南企业调查的样本采用分层随机抽样方法选取,具体方法参见抽样说明。
在本国使用了三个层次的分层:行业、法人实体规模和地区。
行业分层的设计如下:总体被分为两个制造业行业和两个服务业行业——食品和饮料(ISIC Rev. 3.1代码15)、其他制造业(ISIC代码16-37)、零售(ISIC代码52)和其他服务(ISIC代码45、50、51、55、60-64和72)。样本的初始设计将鱼类和水果/肉类加工分别分层于“其他食品制造业”之外。由于样本量较小,这三个部门的数据被统一呈现为“食品制造业”。
对于苏里南企业调查,规模分层定义为:小型(5至19名员工)、中型至大型(20名或更多员工)。
地区分层针对苏里南的两个地区进行:帕拉马里博和尼克里。由于尼克里达到的样本量较小,数据将帕拉马里博和尼克里的数据合并呈现。
注意:有关抽样结构的更多详细信息,请参阅“苏里南2018企业调查数据集”文档中的抽样结构部分。
数据收集方式
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面对面 [f2f]
研究工具
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数据库的结构反映了以下事实:对所有注册的法人实体使用了两种不同的调查工具版本。问卷包含共同问题(核心模块)以及分别针对制造业和服务业的附加问题。合格的制造业行业使用制造业问卷(包括核心模块和制造业特定问题)进行调查。零售公司使用服务业问卷(包括核心模块和零售特定问题)进行访谈,剩余合格的服务行业则使用服务业问卷(包括核心模块)进行调查。每种问卷变体通过索引变量a0进行识别。
响应率
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调查非响应必须与项目非响应区分开来。前者指拒绝参与整个调查,而后者指拒绝回答某些特定问题。企业调查面临着这两种问题,并采用了不同的策略来解决这些问题。
针对项目非响应采取了两种策略:
a- 对于可能引发受访者负面反应的敏感问题,例如腐败或逃税,调查员被指示将拒绝回答(-8)作为一个与“不知道”(-9)不同的选项收集。
b- 当有必要时,对信息不完整的法人实体进行重新联系,以完成这些信息。然而,存在明显的低响应率情况。以下图表显示了按部门划分的销售变量d2的非响应率。请注意,对于这个问题,拒绝回答并未与“不知道”回答分开。
每个联系到的法人实体的访谈数量为24.0%。
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microdata.worldbank.org



