ICT Business Survey, 2021
West Bank and Gaza, 2017
Get Microdata
Reference ID
PSE-PCBS-BICT-2021-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Created on
Jul 19, 2023
Last modified
Jul 24, 2023
Page views
66481
Downloads
354
Identification
Survey ID Number
PSE-PCBS-BICT-2021-V1.0
Title
ICT Business Survey, 2021
Translated Title
مسح قطاع الاعمال حول تكنولوجيا المعلومات والاتصالات،2021
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Enterprise Survey [en/oth]
Series Information
In line with PCBS policy that has to do with disseminating official Palestinian statistics, the ICT Business survey, 2021 aims to provide statistical information for decision makers. These data make a substantial contribution toward enriching the database on Information and Communications Technology (ICT) by providing a set of indicators that are important in order to meet local needs and are consistent with international recommendations. The ICT indicators help to determine the extent of progress and economic growth in the Palestinian economy through the revolutionary impact of information and communication technologies that have become a feature of this era.
PCBS carried out three survey cycles in the years 2008, 2010 and 2012, as the survey of the business sector of information and communication technology, 2008 is the first experiment of its kind implemented by the agency in the field of electronic economy.
PCBS carried out three survey cycles in the years 2008, 2010 and 2012, as the survey of the business sector of information and communication technology, 2008 is the first experiment of its kind implemented by the agency in the field of electronic economy.
Abstract
In line with PCBS policy that has to do with disseminating official Palestinian statistics, the ICT Business survey, 2021 aims to provide statistical information for decision makers. These data make a substantial contribution toward enriching the database on Information and Communications Technology (ICT) by providing a set of indicators that are important in order to meet local needs and are consistent with international recommendations. The ICT indicators help to determine the extent of progress and economic growth in the Palestinian economy through the revolutionary impact of information and communication technologies that have become a feature of this era.
This survey studied the mechanisms and characteristics of use and access to the basic tools of ICT, such as (mobile phones, computers, internet, in addition to a group of advanced technologies that have been increasingly used in recent times). The survey aims primarily to provide comprehensive statistical data on the availability and use of ICT tools in economic enterprises according to their major economic activities, workforce size, location and goals, in addition to the main features of ICT use.
This survey studied the mechanisms and characteristics of use and access to the basic tools of ICT, such as (mobile phones, computers, internet, in addition to a group of advanced technologies that have been increasingly used in recent times). The survey aims primarily to provide comprehensive statistical data on the availability and use of ICT tools in economic enterprises according to their major economic activities, workforce size, location and goals, in addition to the main features of ICT use.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Enterprises
Version
Version Description
V1.0: version (datasets for public use)
Version Date
2023-04-25
Scope
Notes
Using a mobile phone for work purposes
Purposes of using a mobile phone
Using a computer for work purposes
Reasons not to use a computer for work purposes
Economic institutions' access and use of the Internet for business purposes
Reasons not to use the Internet for business purposes
purposes of using the Internet
Technical problems faced by the Internet service in economic institutions
Dealing or interacting electronically with government institutions
Reasons for not dealing or interacting electronically with government institutions
Presence on the webwebsite
Use of social or professional media
Social or professional media use purposes
Manage social or professional media accounts pages
Use of electronic payment methods
Buy used cloud computing services online
The use of cloud computing services used over the Internet
Use of advanced technologies
E-Commerce
Reasons not to make sales via the web
Information and communication technology in economic institutions
Specialists in the fields of information and communication technology
Purposes of using a mobile phone
Using a computer for work purposes
Reasons not to use a computer for work purposes
Economic institutions' access and use of the Internet for business purposes
Reasons not to use the Internet for business purposes
purposes of using the Internet
Technical problems faced by the Internet service in economic institutions
Dealing or interacting electronically with government institutions
Reasons for not dealing or interacting electronically with government institutions
Presence on the webwebsite
Use of social or professional media
Social or professional media use purposes
Manage social or professional media accounts pages
Use of electronic payment methods
Buy used cloud computing services online
The use of cloud computing services used over the Internet
Use of advanced technologies
E-Commerce
Reasons not to make sales via the web
Information and communication technology in economic institutions
Specialists in the fields of information and communication technology
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| SCIENCE AND TECHNOLOGY [16] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Information and communication technology | Glossary of Statistical Terms Used in PCBS, 2022 | Link |
Coverage
Geographic Coverage
Palestine
Universe
Target Population
Target population of ICT business survey included of all -profit non-governmental enterprises that work in any of the following activities (industry, construction, internal trade, services transportation and storage, information and communication, finance and insurance).
Sampling Frame
The sampling frame is the list of all economic enterprises that work in any of the following activities (industry, construction, internal trade, services transportation and storage, information and communication, finance and insurance) enumerated in the Establishments Census, 2017.
Sample Size
The estimated sample size is 3,615 economic enterprises, of which 2,872 economic enterprises responded (2,051 in the West Bank and 821 in Gaza Strip).
Sampling Design
The sample is a regular stratified random sample of one stage.
Sample Strata
Enterprises have been divided into three levels, they are namely:
First level, geographical classification of enterprises and was classified into two regions: The West Bank and Gaza Strip.
Second Level, economic activity of the enterprises was classified according to (ISIC-4) 2 digits.
Third level, employment size category of the enterprises was classified according to the number of employees as follow:
1. Enterprises that employ 4 employed persons and less.
2. Enterprises that employ 5-10 employed persons.
3. Enterprises that employ 11-29 employed persons.
4. Enterprises that employ 30 employed persons and more.
Target population of ICT business survey included of all -profit non-governmental enterprises that work in any of the following activities (industry, construction, internal trade, services transportation and storage, information and communication, finance and insurance).
Sampling Frame
The sampling frame is the list of all economic enterprises that work in any of the following activities (industry, construction, internal trade, services transportation and storage, information and communication, finance and insurance) enumerated in the Establishments Census, 2017.
Sample Size
The estimated sample size is 3,615 economic enterprises, of which 2,872 economic enterprises responded (2,051 in the West Bank and 821 in Gaza Strip).
Sampling Design
The sample is a regular stratified random sample of one stage.
Sample Strata
Enterprises have been divided into three levels, they are namely:
First level, geographical classification of enterprises and was classified into two regions: The West Bank and Gaza Strip.
Second Level, economic activity of the enterprises was classified according to (ISIC-4) 2 digits.
Third level, employment size category of the enterprises was classified according to the number of employees as follow:
1. Enterprises that employ 4 employed persons and less.
2. Enterprises that employ 5-10 employed persons.
3. Enterprises that employ 11-29 employed persons.
4. Enterprises that employ 30 employed persons and more.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Core Funding Group (CFG) | CFG | financial |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Representative Office of Norway | CFG | financial |
Sampling
Sampling Procedure
The sample of the economic surveys series was One-Stage Stratified Systematic Random Sample in which enterprises were divided into two types: the first type covered overall enterprises taken comprehensively, the second type covered enterprises selected in a systematic random way in which the enterprise constituted the sampling unit.
Three levels of strata were used to draw up an efficient representative sample:
1. The frame was divided into two geographical locations: the West Bank excluding that part of Jerusalem governorate which was forcefully annexed by Israel following its occupation of the West Bank in 1967, and the Gaza Strip.
2. Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum.
3. Within each stratum, new strata were created according to employment size.
According to services sector profit and non-profit enterprises are taking into consideration as a forth level.
The sample size in Palestine (excludes that part of Jerusalem governorate which was forcefully annexed by Israel following its occupation of the West Bank in 1967) in 2016 was 9,491 enterprises out of 143,140 enterprises comprising the survey sampling frame.
Three levels of strata were used to draw up an efficient representative sample:
1. The frame was divided into two geographical locations: the West Bank excluding that part of Jerusalem governorate which was forcefully annexed by Israel following its occupation of the West Bank in 1967, and the Gaza Strip.
2. Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum.
3. Within each stratum, new strata were created according to employment size.
According to services sector profit and non-profit enterprises are taking into consideration as a forth level.
The sample size in Palestine (excludes that part of Jerusalem governorate which was forcefully annexed by Israel following its occupation of the West Bank in 1967) in 2016 was 9,491 enterprises out of 143,140 enterprises comprising the survey sampling frame.
Response Rate
Response rate:93.3%..
Weighting
Weighting Calculation:
The weight of statistical units (sampling unit) in the sample was defined as the mathematical inverse of the selection probability where the sample of the survey is one-stage stratified systematic random sample, so we calculated the weight of each enterprise depending on the selection probability of each enterprise (a systematic random sample), then weights were adjusted based on interview result.
The weight of statistical units (sampling unit) in the sample was defined as the mathematical inverse of the selection probability where the sample of the survey is one-stage stratified systematic random sample, so we calculated the weight of each enterprise depending on the selection probability of each enterprise (a systematic random sample), then weights were adjusted based on interview result.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2017-03-22 | 2017-06-29 | yearly |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2016-01-01 | 2016-12-31 | yearly |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
Field visits were conducted by survey's management team to ensure data collection was carried out according to standards
Data Collection Notes
The interviewers in the fieldwork are selected from the experienced ones in the statistical work and they are also trained theoretically and practically.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
All of the economic surveys series used the same questionnaire, with a few different characteristics for each survey. The design of the 2016 questionnaire takes into account the major economic variables pertaining to the sector examined and the needs to be met to compile the National Accounts for Palestine.
The questionnaire included these variables:
1. The employed persons in enterprise and compensation of these employees.
2. Value of output from the main activity and secondary activity.
3. Production inputs of goods and services.
4. Payments and transfers.
5. Taxes on production.
6. Assets and capital formation.
The questionnaire included these variables:
1. The employed persons in enterprise and compensation of these employees.
2. Value of output from the main activity and secondary activity.
3. Production inputs of goods and services.
4. Payments and transfers.
5. Taxes on production.
6. Assets and capital formation.
Data Processing
Data Editing
·A specialized field work team with a background in economics was selected and trained theoretically and practically on the surveys' questionnaire.
·The main field work team was selected based on skills acquired from the training course.
·Project management received a daily report on the progress and response rates.
·Programs were designed to check and extract data through the web by project management and field work supervisors.
·A refreshment training course was conducted during the stage of data collection to reinforce the main points made during the training, and to answer questions by field workers about issues they faced in the field.
·Field visits were conducted from the project management team to check and progress of work for all governorates in the West Bank and Gaza Strip.
·Editing: PC-Tablets were used in collecting data in the West Bank and Gaza Strip, the sample was loaded onto the tablets and automated rules applied to the program.
·Coding: After finishing editing process, the completed questionnaires are subject to coding process to be prepared to the data entry process.
·Creation of a data entry program prior to the collection of data to ensure this would be ready in advance.
·A set of validation rules were applied to the program to check the consistency of data.
· The efficiency of the program was pre-tested by entering several questionnaires including incorrect information and checking its efficiency in capturing the incorrect information
·The main field work team was selected based on skills acquired from the training course.
·Project management received a daily report on the progress and response rates.
·Programs were designed to check and extract data through the web by project management and field work supervisors.
·A refreshment training course was conducted during the stage of data collection to reinforce the main points made during the training, and to answer questions by field workers about issues they faced in the field.
·Field visits were conducted from the project management team to check and progress of work for all governorates in the West Bank and Gaza Strip.
·Editing: PC-Tablets were used in collecting data in the West Bank and Gaza Strip, the sample was loaded onto the tablets and automated rules applied to the program.
·Coding: After finishing editing process, the completed questionnaires are subject to coding process to be prepared to the data entry process.
·Creation of a data entry program prior to the collection of data to ensure this would be ready in advance.
·A set of validation rules were applied to the program to check the consistency of data.
· The efficiency of the program was pre-tested by entering several questionnaires including incorrect information and checking its efficiency in capturing the incorrect information
Data Appraisal
Estimates of Sampling Error
Sampling Errors
Data of this survey affected by sampling errors due to use of the sample and. Therefore, certain differences were expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators as shown in tables below. Dissemination of results at the national level did not pose a problem, but there was high variance in some variables.
Non Sampling Error
These types of errors could appear on one or on all of the survey stages that include data collection and data entry; they related to, respondents, fieldworkers, and data entry personnel. To avoid errors and mitigate their impact, a number of procedures were applied to enhance the accuracy of the data through a process of data collection from the field and data processing.
Data of this survey affected by sampling errors due to use of the sample and. Therefore, certain differences were expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators as shown in tables below. Dissemination of results at the national level did not pose a problem, but there was high variance in some variables.
Non Sampling Error
These types of errors could appear on one or on all of the survey stages that include data collection and data entry; they related to, respondents, fieldworkers, and data entry personnel. To avoid errors and mitigate their impact, a number of procedures were applied to enhance the accuracy of the data through a process of data collection from the field and data processing.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| Mail office | Palestinian Central Bureau of Statistics | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law No. (5) for Year 2000
Article (17)
1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body,
or used for any purpose other than for preparing statistical tables.
2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.
Access conditions
1. Pledges the utilization of “data” or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication
or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of “data” or any copies thereof is limited to personal computers normally .
3. Pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does
not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of “data” or any copies thereof is limited to personal computers normally .
3. Pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does
not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
Citation requirements
Palestinian Central Bureau of Statistics, Economic Survey Series- 2016. V1.0 Ramallah - Palestine
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.
Copyright
© All Rights Reserved Palestinian Central Bureau of Statistics, 2017. Economic Surveys Series 2016: Main Results. Ramallah – Palestine.
Metadata production
DDI Document ID
DDI-PSE-PCBS-BICT-2021-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2023-04-25
DDI Document version
VersionV1.0