Bulgaria - Enterprise Survey 2019

Primary tabs

The survey in Bulgaria was conducted between January 2019 and March 2020. The survey was part of a joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and 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.

Type: 
Microdata
Acronym: 
ES 2019
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Bulgaria
Economy Coverage: 
Economy Coverage not specified
Release Date: 
July 28, 2020

Last Updated

Last Updated: 
July 28, 2020

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
11607
Disclaimer: 
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.
Version Description: 
Version 1 (July 2020)
Version Production Date: 
Friday, July 10, 2020
Publisher Name: 

Development Economics Data Group; The World Bank Group

Funding Name, Abbreviation, Role: 
The World Bank Group, European Bank for Reconstruction and Development, European Investment Bank
Study Type: 
Enterprise Survey [en/oth]
Series Information: 
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 195,000 firms in 152 countries, of which 144 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.
Universe: 
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.
Primary Investigator Name, Affiliation: 
The World Bank Group, European Bank for Reconstruction and Development, European Investment Bank
Sampling Procedure: 
The sample for 2019 Bulgaria 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. The original sample design with specific information of the industries and regions chosen is described in: "Bulgaria 2019 Enterprise Survey Implementation Report" Appendix C in the external resources Industry stratification was done as follows: three manufacturing industries (food, machinery & equipment and other manufacturing) and two services industries (retail and other services). Food (NACE 2 which maps to ISIC Rev. 4.0 codes 10 and 11), Machinery & Equipment (ISIC code 28), Other Manufacturing (ISIC codes 12, 13-27, 29-33), Retail (ISIC code 47) and Other Services (ISIC codes 41, 42, 43, 45, 46, 49, 50, 51, 52, 53, 55, 56, 61, 62, 79). For the Bulgaria ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification for the Bulgaria ES was done across six regions: Severozapaden, Severen Tsentralen, Severoiztochen, Yugoiztochen, Yugozapaden and Yuzhen Tsentralen.
Response Rates: 
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 0.11.9 This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The share of rejections per contact was 0.78.
Weighting: 
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 Stata.) 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 line6, 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 cells have been transformed: (i) medium and large firms are treated as one cell in Severen Tsentralen for Retail; in Yugozapaden for Retail. (ii) large, medium and small firms are treated as one cell in Yugozapaden for Machinery & Equipment. (iii) medium and small firms are treated as one cell in Yugozapaden for Other Services.
Data Collector(s) Name: 
Kantar Public, Kantar Bulgaria
Other Processing: 
The Bulgaria 2019 Enterprise Survey covered the following topics: - General information of the firm/ establishment - Infrastructure and services - Sales and supplies - Management practices - Degree of competition - Innovation - Capacity - Time use of top manager - Land and permits - Crime - Finance - Business-Government relations - Labor - Business environment - Performance - Green Economy Module: - Environment-related aspects - Exposure to environmental impacts - Management and the environment - Environmental policy and regulation - Environmental impact of the establishment

No Visualizations Available.

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. Bulgaria Enterprise Survey (ES) 2019, Ref. BGR_2019_ES_v01_M. Dataset downloaded from [URL] on [date].

The survey in Bulgaria was conducted between January 2019 and March 2020. The survey was part of a joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and 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.

FieldValue
Modified Date
2020-07-29
Release Date
Identifier
a0b32b14-b160-466a-b540-c1737d42ed6b
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Acronym: 
ES 2019
Type: 
Languages Supported: 
Disclaimer: 
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.
Response Rates: 
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 0.11.9 This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The share of rejections per contact was 0.78.
Weighting: 
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 Stata.) 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 line6, 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 cells have been transformed: (i) medium and large firms are treated as one cell in Severen Tsentralen for Retail; in Yugozapaden for Retail. (ii) large, medium and small firms are treated as one cell in Yugozapaden for Machinery & Equipment. (iii) medium and small firms are treated as one cell in Yugozapaden for Other Services.
Economy Coverage: 
Primary Investigator Name, Affiliation: 
The World Bank Group, European Bank for Reconstruction and Development, European Investment Bank
Publisher Name: 
Development Economics Data Group; The World Bank Group
Version Description: 
Version 1 (July 2020)
Universe: 
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.
Geographical Coverage: 
Data Classification of a Dataset: 
Version Production Date: 
Friday, July 10, 2020
Series Information: 
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 195,000 firms in 152 countries, of which 144 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.
Sampling Procedure: 
The sample for 2019 Bulgaria 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. The original sample design with specific information of the industries and regions chosen is described in: "Bulgaria 2019 Enterprise Survey Implementation Report" Appendix C in the external resources Industry stratification was done as follows: three manufacturing industries (food, machinery & equipment and other manufacturing) and two services industries (retail and other services). Food (NACE 2 which maps to ISIC Rev. 4.0 codes 10 and 11), Machinery & Equipment (ISIC code 28), Other Manufacturing (ISIC codes 12, 13-27, 29-33), Retail (ISIC code 47) and Other Services (ISIC codes 41, 42, 43, 45, 46, 49, 50, 51, 52, 53, 55, 56, 61, 62, 79). For the Bulgaria ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification for the Bulgaria ES was done across six regions: Severozapaden, Severen Tsentralen, Severoiztochen, Yugoiztochen, Yugozapaden and Yuzhen Tsentralen.
Release Date: 
Tuesday, July 28, 2020
Last Updated Date: 
Tuesday, July 28, 2020
Other Processing: 
The Bulgaria 2019 Enterprise Survey covered the following topics: - General information of the firm/ establishment - Infrastructure and services - Sales and supplies - Management practices - Degree of competition - Innovation - Capacity - Time use of top manager - Land and permits - Crime - Finance - Business-Government relations - Labor - Business environment - Performance - Green Economy Module: - Environment-related aspects - Exposure to environmental impacts - Management and the environment - Environmental policy and regulation - Environmental impact of the establishment
Harvest Source: 
Harvest System ID: 
11607
Citation Text: 
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. Bulgaria Enterprise Survey (ES) 2019, Ref. BGR_2019_ES_v01_M. Dataset downloaded from [URL] on [date].
Modified date: 
18471
Study Type: 
Enterprise Survey [en/oth]
Primary Dataset: 
Yes
Data Collector(s) Name: 

Kantar Public, Kantar Bulgaria

Funding Name, Abbreviation, Role: 

The World Bank Group, European Bank for Reconstruction and Development, European Investment Bank

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is available from an external third-party website. Visit the website to obtain license information. More information

Share Metadata

The information on this page (the dataset metadata) is also available in these formats.

PRINT EMAIL JSON RDF