Morocco - Enterprise Survey 2019

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The survey was conducted in Morocco between May 2019 and January 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.

Type: 
Microdata
Acronym: 
ES 2019
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Morocco
Economy Coverage: 
Economy Coverage not specified
Release Date: 
July 15, 2020

Last Updated

Last Updated: 
July 15, 2020

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
11594
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 (July 2020)
Publisher Name: 

Development Economics Data Group; The World Bank

Funding Name, Abbreviation, Role: 
World Bank Group, European Bank for Reconstruction and Development, European Investment Bank
Study Type: 
Enterprise Survey [en/oth]
Series Information: 
As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving business environments as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys 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. The 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 2005-2006, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted across all geographic regions and cover small, medium, and large companies. The surveys are administered to a representative sample of firms in the non-agricultural formal private economy. 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 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: 
Morocco ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
Primary Investigator Name, Affiliation: 
World Bank Group (WBG), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Sampling Procedure: 
The sample for 2019 Morocco 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. Industry stratification was designed in the way that follows: three manufacturing industries (food, garments and other manufacturing) and two services industries (retail and other services). Food (ISIC Rev. 3.1 codes 15), Garments (ISIC code 18) Other Manufacturing (ISIC codes 16, 17, 19-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). For the Morocco 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 was done across eight regions: Tanger-Tétouan-Al Hoceima, Oriental, Fès-Meknès, Béni Mellal-Khénifra and Drâa-Tafilalet, Rabat-Salé-Kénitra, Casablanca-Settat, Marrakech-Safi and Souss-Massa. Note: Refer to Sampling Structure section in "The Morocco 2019 Enterprise Surveys Data Set" document for further details on sampling.
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 42.0%.
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: 
The structure of the data base reflects the fact that 2 different versions of the survey instrument were used for all registered establishments. 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 (module).
Other Processing: 
The 2019 Morocco Enterprise Survey covered the following topics: - General information of a 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 - Regulatory uncertainty - Labor - Business environment - Performance - Environment related aspects - Exposure to environmental impacts - Management and the environment - Environmental policy and regulation - Environmental impact of the establishment - Module from CNEA

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 Group. Morocco - Enterprise Survey (ES) 2019, Ref. MAR_2019_ES_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].

The survey was conducted in Morocco between May 2019 and January 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.

FieldValue
Modified Date
2020-07-16
Release Date
Identifier
2a54133f-a671-483f-ab13-ff1ff9e05a05
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 42.0%.
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: 
World Bank Group (WBG), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Publisher Name: 
Development Economics Data Group; The World Bank
Version Description: 
Version 01 (July 2020)
Universe: 
Morocco ES was based on the following size stratification: 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: 
As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving business environments as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys 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. The 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 2005-2006, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted across all geographic regions and cover small, medium, and large companies. The surveys are administered to a representative sample of firms in the non-agricultural formal private economy. 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 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 Morocco 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. Industry stratification was designed in the way that follows: three manufacturing industries (food, garments and other manufacturing) and two services industries (retail and other services). Food (ISIC Rev. 3.1 codes 15), Garments (ISIC code 18) Other Manufacturing (ISIC codes 16, 17, 19-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). For the Morocco 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 was done across eight regions: Tanger-Tétouan-Al Hoceima, Oriental, Fès-Meknès, Béni Mellal-Khénifra and Drâa-Tafilalet, Rabat-Salé-Kénitra, Casablanca-Settat, Marrakech-Safi and Souss-Massa. Note: Refer to Sampling Structure section in "The Morocco 2019 Enterprise Surveys Data Set" document for further details on sampling.
Release Date: 
Wednesday, July 15, 2020
Last Updated Date: 
Wednesday, July 15, 2020
Questionnaires: 
The structure of the data base reflects the fact that 2 different versions of the survey instrument were used for all registered establishments. 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 (module).
Other Processing: 
The 2019 Morocco Enterprise Survey covered the following topics: - General information of a 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 - Regulatory uncertainty - Labor - Business environment - Performance - Environment related aspects - Exposure to environmental impacts - Management and the environment - Environmental policy and regulation - Environmental impact of the establishment - Module from CNEA
Harvest Source: 
Harvest System ID: 
11594
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 Group. Morocco - Enterprise Survey (ES) 2019, Ref. MAR_2019_ES_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
Modified date: 
18458
Study Type: 
Enterprise Survey [en/oth]
Primary Dataset: 
Yes
Funding Name, Abbreviation, Role: 

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

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