Enterprise Survey 2019
Bosnia-Herzegovina, 2019
Get MicrodataIdentification
BIH_2019_ES_v01_M
Enterprise Survey 2019
| Name | Country code |
|---|---|
| Bosnia and Herzegovina | BIH |
Enterprise Survey [en/oth]
An Enterprise Survey (ES) 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 (FPDEA). The Enterprise Surveys are conducted 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.
The ES currently cover over 160,000 firms in 148 countries, of which 139 have been surveyed following the standard methodology. This allows for better comparisons across countries and across time. Data are used to create statistically significant business environment indicators that are comparable across countries. The ES are also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time and allow, for example, impact assessments of reforms.
The Enterprise Surveys, implemented in Eastern Europe and Central Asia countries, also known as Business Environment and Enterprise Performance Surveys (BEEPS), are jointly conducted by the World Bank and the European Bank for Reconstruction and Development for this geographic region. The objective of the research is to gain an understanding of firms' perception of the environment in which they operate. The surveys were until now administered four times at an interval of three years. This has added an important element of dynamics in the study of business environment in transition countries.
In Bosnia and Herzegovina, data from 360 establishments (the same list of establishments included in the 2013 Bosnia and Herzegovina Enterprise Survey as well as additional establsihments) were included. Firms not taken from the 2013 list were provided by the LRC Business Intelligence System. The establishments in the listings are all registered through court registrations with the Municipal Court.
The survey topics include firm characteristics, infrastructure and services, sales and supplies, management practices, degree of competition, capacity, time use of top manager, land and permits, crime, finance, business-government relations, labor, business environment, performance, environment-related aspects, exposure to environmental impacts, management and the environment, environmental policy and regulation, and environmental impact of the establishment.
Sample survey data[ssd]
The primary sampling unit of the study is the 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.
Version
Version 01. Edited, anonymous dataset for public distribution
Scope
The Bosnia and Herzegovina 2019 Enterprise Survey covered the following topics:
- General information of the firm/ establishment
- Infrastructure and services
- Sales and supplies
- Management practices
- Degree of competition
- Capacity
- Time use of top manager
- Land and permits
- Crime
- Finance
- Business-government relations
- Labor
- Business environment
- Performance
- Environment-related aspects
- Exposure to environmental impacts
- Management and the environment
- Environmental policy and regulation
- Environmental impact of the establishment
Coverage
National coverage
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 manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with five or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in Enterprise Surveys.
Producers and sponsors
| Name |
|---|
| World Bank Group |
| European Bank for Reconstruction and Development |
| European Investment Bank |
| Name |
|---|
| World Bank Group |
| European Bank for Reconstruction and Development |
| European Investment Bank |
Sampling
The sample for 2019 Bosnia and Herzegovina ES was selected using stratified random sampling, following the methodology explained in the Sampling Note. Stratified random sampling was preferred over simple random sampling for several reasons:
a. To obtain unbiased estimates for different subdivisions of the population with some known level of precision.
b. To obtain unbiased estimates for the whole population. The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this 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.
c. To make sure that the final total sample includes establishments from all different sectors and that it is not concentrated in one or two of industries/sizes/regions.
d. To exploit the benefits of stratified sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e., lower standard errors, other things being equal.)
e. Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous.
f. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.
Three levels of stratification were used in this country: industry, establishment size, and region. The original sample design with specific information of the industries and regions chosen is described in Appendix C in the Implementation Report found under the 'Documentation' tab.
Industry stratification was done as follows: Manufacturing - combining all the relevant activities (ISIC Rev. 4.0 codes 10-33), Retail (ISIC 47), and Other Services (ISIC 41-43, 45, 46, 49-53, 55, 56, 58, 61, 62, 79, 95).
As it is standard for the ES, the Bosnia and Herzegovina ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
Regional stratification was done across five regions: Bosna Region; Hercegovina Region; Sarajevo Region; Republika Srpska; Distrikt Brcko. For the purposes of achieving the thresholds for representativeness, the ES indicators are calculated with some regions combined. In particular, Bosna and Hercegovina regions are combined, as well as Republika Srpska and Distrikt Brcko.
Since the sampling design was stratified and employed differential sampling, individual observations should be properly weighted when making inferences about the population. Under stratified random sampling, unweighted estimates are biased unless sample sizes are proportional to the size of each stratum. With stratification the probability of selection of each unit is, in general, not the same. Consequently, individual observations must be weighted by the inverse of their probability of selection (probability weights or pw in the dataset).
Special care was given to the correct computation of the weights. It was imperative to accurately adjust the totals within each region/industry/size stratum to account for the presence of ineligible units (the firm discontinued businesses or was unattainable, education or government establishments, no reply after having called in different days of the week and in different business hours, no tone in the phone line, answering machine, fax line, wrong address or moved away and could not get the new references). The information required for the adjustment was collected in the first stage of the implementation: the screening process. Using this information, each stratum cell of the universe was scaled down by the observed proportion of ineligible units within the cell. Once an accurate estimate of the universe cell (projections) was available, weights were computed using the number of completed interviews.
Due to non-response rates, some stratification cells were collapsed for the purposes of weighting, to preserve the representativeness of the sample. The following cell has been transformed: medium and large firms are treated as one cell in Hercegovina for Retail.
Survey instrument
Two questionnaires - Manufacturing amd Services were used to collect the survey data.
The 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).
Data collection
| Start | End |
|---|---|
| 2019-01 | 2019-09 |
The survey was implemented following a 2-stage procedure. Typically, first a screener questionnaire was applied over the phone to determine eligibility and to make appointments. Then a face-to-face interview took place with the Manager/Owner/Director of each establishment. However, sometimes the phone numbers were unavailable in the sample frame, and thus the enumerators applied the screeners in person.
Data Access
| 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 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
The use of this dataset must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
Example:
The World Bank, The European Bank for Reconstruction and Development, and European Investment Bank. Bosnia and Herzegovina Enterprise Survey (ES) 2019, Ref. BIH_2019_ES_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Unit | The World Bank | enterprisesurveys@worldbank.org |
Metadata production
DDI_BIH_2019_ES_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2019-06-10
Metadata version
Version 01 (June 2020)