MKD_2019_ES_v01_M
Enterprise Survey 2019
Name | Country code |
---|---|
North Macedonia | MKD |
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 190,000 firms in 152 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.
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 01. Edited, anonymous dataset for public distribution.
The North Macedonia 2019 Enterprise Survey covered the following topics:
National coverage
As it is standard for the ES, the North Macedonia ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
Name |
---|
The World Bank (WB) |
European Bank for Reconstruction and Development (EBRD) |
European Investment Bank (EIB) |
Name |
---|
The World Bank |
European Bank for Reconstruction and Development |
European Investment Bank |
The sample for 2019 North Macedonia 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 North Macedonia 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 52), and Other Services (ISIC 45, 50, 51, 55, 60-64, 72).
As it is standard for the ES, the North Macedonia 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 three regions: Skopje; Eastern Macedonia comprising Northeastern, Eastern, Southeastern, and Vardar regions; and Western Macedonia comprising Polog, Soutwestern and Pelagonia regions.
Note: See Sections II and III of “The North Macedonia 2019 Enterprise Surveys Data Set” report for additional details on the sampling procedure.
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).
Start | End |
---|---|
2018-12 | 2019-11 |
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.
Name | Affiliation |
---|---|
Joshua Seth Wimpey | The World Bank |
Confidentiality declaration text |
---|
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
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.
Name | Affiliation | |
---|---|---|
Enterprise Analysis Unit | The World Bank | enterprisesurveys@worldbank.org |
DDI_MKD_2019_ES_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-07-07
Version 01 (July 2020)
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.