CIV_2009_MS_v01_M_WB
Micro-Enterprise Survey 2009
Name | Country code |
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Côte d'Ivoire | CIV |
Enterprise Survey [en/oth]
An Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted every three to four years across all geographic regions and cover small, medium and large companies. Data are used to create indicators that benchmark the quality of the business and investment climate across countries.
In some countries, unregistered businesses and firms with a small number of employees make up a large part of the economy. Micro-Enterprise Surveys target registered establishments with one to four employees, while traditional Enterprise Surveys focus on businesses with five or more workers. Sampling techniques and questionnaires are similar for Micro-Enterprise and Enterprise Surveys.
Sample survey data [ssd]
The primary sampling unit of the study is an establishment with one to four employees.
National
Regions covered are selected based on the number of establishments, contribution to employment, and value added. In most cases these regions are metropolitan areas and reflect the largest centers of economic activity in a country.
The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.
Name |
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World Bank |
Name |
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World Bank |
Name | Role |
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TNS Opinion | Assistance in survey coordination |
Steadman Group | Assistance in survey coordination |
The sample for registered establishments in Côte d'Ivoire was selected using stratified random sampling. Two levels of stratification were used in the Côte d'Ivoire Micro-Enterprise Survey sample: firm sector, and geographic region.
For industry stratification, the universe was divided into three manufacturing industries (food, textiles, and other), one services industry (retail) and one residual sector. The initial sample design for micro businesses targeted 120 establishments: 60 in manufacturing and 60 in services sectors.
Regional stratification was defined in terms of the geographic regions with the largest commercial presence in the country: Abidjan, San Pedro, and Yamoussoukro were the three metropolitan areas selected in Côte d'Ivoire. (Bouake was initially included, but was determined to be too unsafe to conduct survey work and Yamoussoukro was substituted before enumeration began).
Given the stratified design, sample frames containing a complete and updated list of establishments as well as information on all stratification variables (number of employees, industry, and region) are required to draw the sample for the Enterprise Surveys. It was determined that such lists were not available for Ivory Coast, and the sample frame for registered firms was created through block enumeration. The block enumeration exercise was conducted in September 2008 in the three regions selected for the stratified sample. First, detailed maps were obtained from aerial mappings projected to a usable scale for Abidjan, San Pedro, Bouake, and Yamoussoukro. The following multi-stage approach was then followed.
Using the maps each city was divided into "blocks" and using local knowledge the blocks were classified into strata defined by the predominant spatial use of each block. The classifications used for the blocks included industrial, commercial, commercial/residential (mixed), and residential. The accuracy of the classification was then tested by site visits to pilot blocks randomly selected from among all blocks for each of the classification types. Twenty pilot blocks in the selected cities and an additional 10 blocks in Bouake (the city that was dropped from the sample due to safety concerns) were enumerated in the pilot. After the classification system was determined to be accurate, another 304 blocks, stratified by classification type, were selected randomly from the list of blocks. Blocks classified as "residential" were undersampled relative to industrial and commercial blocks.
The selected blocks were then enumerated. In the enumeration process for each block, each separate unit, either a whole building or a floor or suite within a building, was identified and its use was classified. For units classified as business establishments, further details were collected on employee numbers, activity, name of business and manager, and contact phone number.
The quality of the frame was assessed at the onset of the project and was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 9.4% (102 out of 1,080 establishments for Enterprise Survey and micro samples).
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Côte d'Ivoire Implementation 2009" in "Technical Documents" folder.
For block enumeration, the weights of registered establishments were calculated by dividing the universe estimates for each cell by the number of completed interviews in that cell. Because the sample of blocks enumerated in the three regions was selected to be representative of the type of block and not region, sample weights are applied within type of block and region. This procedure has been applied in other countries where block enumeration has been used for the Enterprise Surveys.
The current survey instruments are available:
The Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.
Start | End |
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2008-08 | 2009-02 |
Name |
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Kiram Consulting |
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Côte d'Ivoire Implementation 2009" in "Technical Documents" folder.
Private contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and corruption-related topics, private contractors are preferred over any government agency or an organization/institution associated with government, and are hired by the World Bank to collect the data.
The surveys were implemented following a two-stage procedure. In the first stage, a screener questionnaire was applied over the phone to determine eligibility and to make appointments; in the second stage, a face-to-face interview took place with the Manager/Owner/Director of each establishment.
All Micro-Enterprise Surveys are conducted in the local languages.
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised. |
Aggregate indicators based on Enterprise Analysis Unit data are available to the public at https://www.enterprisesurveys.org
Firm-level data is also available to the public free-of-charge. In order to access the firm-level data, users must agree to abide by a strict confidentiality agreement available through Enterprise Analysis Unit website by clicking on "External users register here" at https://www.enterprisesurveys.org/Portal
Where necessary please site the source as "Enterprise Analysis Unit - World Bank Group https://www.enterprisesurveys.org"
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
enterprisesurveys@worldbank.org |
DDI_CIV_2009_MS_v01_M_WB
Name |
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Antonina Redko |
Version 01
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