Croatia - Enterprise Survey 2019

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The survey was conducted in Croatia between November 2018 and November 2019. 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: 
Croatia
Economy Coverage: 
Economy Coverage not specified
Release Date: 
June 26, 2020

Last Updated

Last Updated: 
June 29, 2020

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
11558
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 01 (June 2020)
Publisher Name: 

Development Economics Data Group; The World Bank

Funding Name, Abbreviation, Role: 
The World Bank, 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 185,000 firms in 151 countries, of which 143 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: 
For the Croatia ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
Primary Investigator Name, Affiliation: 
The World Bank (WB), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Sampling Procedure: 
The sample for 2019 Croatia 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 “The Croatia 2019 Enterprise Surveys Data Set” report Appendix C. Industry stratification was done as follows: Manufacturing – combining all the relevant activities (ISIC Rev. 3.1 codes 15-37), Retail (ISIC code 52) and Services (ISIC codes 45, 47, 50, 51, 55, 60-64, and 72). For the Croatia 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 Croatia ES was done across two regions: Kontinentalna Hrvatska and Jadranska Hrvatska. Note: See Sections II and III of “The Croatia 2019 Enterprise Surveys Data Set” report for additional details on the sampling procedure.
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. For this survey there were zero non-responses for the sales variable, d2. 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 11.2%. 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 63.8%.
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 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.
Questionnaires: 
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). Each variation of the questionnaire is identified by the index variable, a0.
Other Processing: 
The Croatia 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 - Management and the environment - Environmental policy and regulation - Environmental impact of the establishment

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Where necessary please site the source as "Enterprise Analysis Unit - World Bank Group https://www.enterprisesurveys.org"

The survey was conducted in Croatia between November 2018 and November 2019. 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
2020-07-01
Release Date
Identifier
37d2f8b3-28f3-42cf-8335-321d8f25c8b5
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. For this survey there were zero non-responses for the sales variable, d2. 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 11.2%. 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 63.8%.
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 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.
Economy Coverage: 
Primary Investigator Name, Affiliation: 
The World Bank (WB), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Publisher Name: 
Development Economics Data Group; The World Bank
Version Description: 
Version 01 (June 2020)
Universe: 
For the Croatia ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
Geographical Coverage: 
Data Classification of a Dataset: 
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 185,000 firms in 151 countries, of which 143 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 Croatia 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 “The Croatia 2019 Enterprise Surveys Data Set” report Appendix C. Industry stratification was done as follows: Manufacturing – combining all the relevant activities (ISIC Rev. 3.1 codes 15-37), Retail (ISIC code 52) and Services (ISIC codes 45, 47, 50, 51, 55, 60-64, and 72). For the Croatia 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 Croatia ES was done across two regions: Kontinentalna Hrvatska and Jadranska Hrvatska. Note: See Sections II and III of “The Croatia 2019 Enterprise Surveys Data Set” report for additional details on the sampling procedure.
Release Date: 
Friday, June 26, 2020
Last Updated Date: 
Monday, June 29, 2020
Questionnaires: 
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). Each variation of the questionnaire is identified by the index variable, a0.
Other Processing: 
The Croatia 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 - Management and the environment - Environmental policy and regulation - Environmental impact of the establishment
Harvest Source: 
Harvest System ID: 
11558
Citation Text: 
Where necessary please site the source as "Enterprise Analysis Unit - World Bank Group https://www.enterprisesurveys.org"
Modified date: 
18442
Study Type: 
Enterprise Survey [en/oth]
Primary Dataset: 
Yes
Funding Name, Abbreviation, Role: 

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

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