| Name | Country code |
|---|---|
| Bhutan | BTN |
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 |
|---|
| World Bank |
| Name |
|---|
| World Bank |
The survey sample for establishments in Bhutan was selected using stratified random sampling with replacement. Three levels of stratification were used in the Bhutan sample: firm sector, firm size, and geographic region.
Industry stratification was designed at two levels: the universe was stratified into manufacturing and services industries. The initial sample design had a target of 125 interviews in manufacturing and 125 interviews in services.
Size stratification was defined following the standardized definition used for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). For stratification purposes, the size of the firm was obtained by a proxy firm size variable in the database obtained from the Ministry of Economic Affairs.
Regional stratification was defined in terms of the geographic regions with the main economic activity in the country: Paro/Thimphu, Phuentsholing, Gelephu/Sarpang, and Samdrup Jongkhar were the four metropolitan areas selected in Bhutan.
The frame for Bhutan was obtained from the Royal Government of Bhutan Ministry of Economic Affairs (MoEA). Other sector-specific lists of registered companies were sought to cross-check the accuracy and completeness of the list obtained from MoEA. A list of construction companies and a list of hospitality firms (restaurants, hotels, tourism, etc.) were successfully obtained. All three lists contained firm name and limited contact information, ISIC code, and a proxy variable for firm size.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments were made when computing the appropriate weights for individual observations. Breaking down by industry, the following numbers of establishments were surveyed: Manufacturing - 88, Services - 162.
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Bhutan Implementation 2009" in "Technical Documents" folder.
For some units it was impossible to determine eligibility because the contact was not successfully completed. Consequently, different assumptions as to their eligibility result in different universe cells' adjustments and in different sampling weights. Three sets of assumptions were considered:
a- Strict assumption: eligible establishments are only those for which it was possible to directly determine eligibility.
b- Median assumption: eligible establishments are those for which it was possible to directly determine eligibility and those that rejected the screener questionnaire or an answering machine or fax was the only response. Median weights are used for computing indicators on the www.enterprisesurveys.org.
c- Weak assumption: in addition to the establishments included in points a and b, all establishments for which it was not possible to finalize a contact are assumed eligible. This includes establishments with dead or out of service phone lines, establishments that never answered the phone, and establishments with incorrect addresses for which it was impossible to find a new address. Note that under the weak assumption only observed non-eligible units are excluded from universe projections.
The current survey instrument is available:
The standard 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 |
|---|---|
| 2009-04 | 2009-09 |
| Name |
|---|
| Druk Associates |
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Bhutan 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.
Interviewers went to a prospective establishment, verified eligibility, and then proceeded to conducting the interview with Manager/Owner/Director of each establishment. Sometimes the survey respondent called company accountants and human resource managers into the interview to answer questions in the sales and labor sections of the survey.
All 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 |
|---|---|
| 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 Survey 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 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 |
| Name |
|---|
| Antonina Redko |
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