Enterprise Survey 2013
Israel, 2013 - 2014
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Reference ID
ISR_2013_ES_v02_M
Producer(s)
World Bank, European Bank for Reconstruction and Development, European Investment Bank
Collection(s)
Metadata
Created on
Sep 08, 2014
Last modified
Jan 13, 2016
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43107
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Identification
Survey ID Number
ISR_2013_ES_v02_M
Title
Enterprise Survey 2013
Country/Economy
| Name | Country code |
|---|---|
| Israel | ISR |
Study type
Enterprise Survey [en/oth]
Series Information
An Enterprise Survey 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. 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 is used to create indicators that benchmark the quality of the business and investment climate across countries.
Abstract
This survey was conducted in Israel between April 2013 and March 2014. The survey was a joint initiative of the World Bank, the European Bank for Reconstruction and Development (EBRD) and the European Investment Bank (EIB).
The Enterprise Surveys, through interviews with firms in the manufacturing and services sectors, capture business perceptions on the biggest obstacles to enterprise growth, the relative importance of various constraints to increasing employment and productivity, and the effects of a country's business environment on its international competitiveness. They are used to create statistically significant business environment indicators that are comparable across countries. The Enterprise Surveys 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.
In Israel, data from 483 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.
The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.
The Enterprise Surveys, through interviews with firms in the manufacturing and services sectors, capture business perceptions on the biggest obstacles to enterprise growth, the relative importance of various constraints to increasing employment and productivity, and the effects of a country's business environment on its international competitiveness. They are used to create statistically significant business environment indicators that are comparable across countries. The Enterprise Surveys 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.
In Israel, data from 483 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.
The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
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 Description
v02 (August 2015)
- The coding for some observations for variables a3a, a3b, a3c, and a3 was revised after the exact location of establishments was reviewed. These variables cover location of the establishment and the location size.
- Variables from Manufacturing Questionnaire - Innovation Module and Services Questionnaire - Innovation Module were added to the updated dataset.
v02 of the datasets replaced v01, which was published in September 2014.
- The coding for some observations for variables a3a, a3b, a3c, and a3 was revised after the exact location of establishments was reviewed. These variables cover location of the establishment and the location size.
- Variables from Manufacturing Questionnaire - Innovation Module and Services Questionnaire - Innovation Module were added to the updated dataset.
v02 of the datasets replaced v01, which was published in September 2014.
Scope
Notes
The scope of the study includes:
- characteristics of establishments;
- infrastructure and services;
- sales and supplies;
- degree of competition;
- innovation;
- capacity;
- land and permits;
- crime;
- finance;
- business-government relations;
- labor;
- business environment;
- performance.
- characteristics of establishments;
- infrastructure and services;
- sales and supplies;
- degree of competition;
- innovation;
- capacity;
- land and permits;
- crime;
- finance;
- business-government relations;
- labor;
- business environment;
- performance.
Coverage
Geographic Coverage
National
Geographic Unit
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.
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.
Producers and sponsors
Primary investigators
| Name |
|---|
| World Bank |
| European Bank for Reconstruction and Development |
| European Investment Bank |
Funding Agency/Sponsor
| Name |
|---|
| World Bank |
| European Bank for Reconstruction and Development |
| European Investment Bank |
Sampling
Sampling Procedure
The sample for Israel was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.
The universe was stratified into two manufacturing industries (food manufacturing and other manufacturing), and two service industries (retail, and other services).
Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not common practice, except in the sectors of construction and agriculture.
Regional stratification was defined in five regions (city and the surrounding business area) throughout Israel. These areas were Tel Aviv, Haifa + the North, Central, Jerusalem, and the South.
Samples were selected separately by Dun and Bradstreet, following specifications and designs provided by the World Bank, based upon universe tabulations from the 2011 estimates from the Israeli Bureau of Statistics.
The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 480 establishments with five or more employees.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 3.9 % (60 out of 1,537 establishments).
The variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. The strata were defined according to the guidelines described above. Variable a4a is coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.
The universe was stratified into two manufacturing industries (food manufacturing and other manufacturing), and two service industries (retail, and other services).
Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not common practice, except in the sectors of construction and agriculture.
Regional stratification was defined in five regions (city and the surrounding business area) throughout Israel. These areas were Tel Aviv, Haifa + the North, Central, Jerusalem, and the South.
Samples were selected separately by Dun and Bradstreet, following specifications and designs provided by the World Bank, based upon universe tabulations from the 2011 estimates from the Israeli Bureau of Statistics.
The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 480 establishments with five or more employees.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 3.9 % (60 out of 1,537 establishments).
The variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. The strata were defined according to the guidelines described above. Variable a4a is coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.
Response Rate
Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether, while 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 as a different option from don’t know.
b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
The number of realized interviews per contacted establishment was 0.31. 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 number of rejections per contact was 0.45.
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 as a different option from don’t know.
b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
The number of realized interviews per contacted establishment was 0.31. 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 number of rejections per contact was 0.45.
Weighting
For some units it was impossible to determine eligibility because the contact was not successfully completed. Consequently, different assumptions as to their eligibility result in different universe cells' adjustments and in different sampling weights. Three sets of assumptions were considered:
a- Strict assumption: eligible establishments are only those for which it was possible to directly determine eligibility.
b- Median assumption: eligible establishments are those for which it was possible to directly determine eligibility and those that rejected the screener questionnaire or an answering machine or fax was the only response. Median weights are used for computing indicators on the www.enterprisesurveys.org website.
c- Weak assumption: in addition to the establishments included in points a and b, all establishments for which it was not possible to finalize a contact are assumed eligible. This includes establishments with dead or out of service phone lines, establishments that never answered the phone, and establishments with incorrect addresses for which it was impossible to find a new address. Note that under the weak assumption only observed non-eligible units are excluded from universe projections.
a- Strict assumption: eligible establishments are only those for which it was possible to directly determine eligibility.
b- Median assumption: eligible establishments are those for which it was possible to directly determine eligibility and those that rejected the screener questionnaire or an answering machine or fax was the only response. Median weights are used for computing indicators on the www.enterprisesurveys.org website.
c- Weak assumption: in addition to the establishments included in points a and b, all establishments for which it was not possible to finalize a contact are assumed eligible. This includes establishments with dead or out of service phone lines, establishments that never answered the phone, and establishments with incorrect addresses for which it was impossible to find a new address. Note that under the weak assumption only observed non-eligible units are excluded from universe projections.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2013-04 | 2014-03 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Private contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and corruption-related topics, private contractors are preferred over any government agency or an organization/institution associated with government, and are hired by the World Bank to collect the data.
The Enterprise Surveys are usually implemented following a two-stage procedure. In the first stage, a screener questionnaire is applied over the phone to determine eligibility and to make appointments; in the second stage, a face-to-face interview takes place with the manager, owner or director of each establishment. All Enterprise Surveys are conducted in the local languages.
PORI, a public opinion and marketing research company from Israel, and Gallup were hired to implement the Israel Enterprise Survey.
The Enterprise Surveys are usually implemented following a two-stage procedure. In the first stage, a screener questionnaire is applied over the phone to determine eligibility and to make appointments; in the second stage, a face-to-face interview takes place with the manager, owner or director of each establishment. All Enterprise Surveys are conducted in the local languages.
PORI, a public opinion and marketing research company from Israel, and Gallup were hired to implement the Israel Enterprise Survey.
Data Collectors
| Name |
|---|
| Gallup |
| Research company "PORI" |
Questionnaires
Questionnaires
The following survey instruments are available:
- Manufacturing Questionnaire;
- Services Questionnaire.
- Manufacturing Questionnaire;
- Services Questionnaire.
Data Processing
Data Editing
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Unit | World Bank | enterprisesurveys@worldbank.org |
Confidentiality
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.
Citation requirements
The use of the datasets 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:
World Bank, European Bank for Reconstruction and Development, European Investment Bank. Israel Enterprise Survey (ES) 2013, Ref. ISR_2013_ES_v02_M. Dataset downloaded from [URL] on [date].
- 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:
World Bank, European Bank for Reconstruction and Development, European Investment Bank. Israel Enterprise Survey (ES) 2013, Ref. ISR_2013_ES_v02_M. Dataset downloaded from [URL] on [date].
Location of Data Collection
https://www.enterprisesurveys.org/Portal/
Archive where study is originally stored
Enterprise Surveys
https://www.enterprisesurveys.org/Portal/
Cost: None
https://www.enterprisesurveys.org/Portal/
Cost: None
Disclaimer and copyrights
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.
Metadata production
DDI Document ID
DDI_ISR_2013_ES_v02_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | DDI Documentation |
Date of Metadata Production
2014-09-05
DDI Document version
v02 (December 2015)
- The dataset was updated
- Manufacturing Questionnaire - Innovation Module and Services Questionnaire - Innovation Module were added to Related Materials
- Israel Country Profile 2013 was added to Related Materials
v01 (September 2014)
- The dataset was updated
- Manufacturing Questionnaire - Innovation Module and Services Questionnaire - Innovation Module were added to Related Materials
- Israel Country Profile 2013 was added to Related Materials
v01 (September 2014)