Indonesia - Enterprise Survey 2015

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This survey was conducted in Indonesia between April 2015 and November 2015, as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. Only registered businesses are surveyed in the Enterprise Survey. Data from 1,320 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews. The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Type: 
Microdata
Acronym: 
ES 2015
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Indonesia
Release Date: 
August 16, 2016

Last Updated

Last Updated: 
August 16, 2016

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
8881
Version Description: 
v01, edited anonymized dataset for public distribution
Version Notes: 
All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1 (some exceptions apply due to comparability reasons). Variable names preceded by the prefix "EA" or "MYA" indicate questions specific to Vietnam and other countries in EAP 2015, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.
Funding Name, Abbreviation, Role: 
World Bank
Study Type: 
Enterprise Survey
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.
Primary Investigator Name, Affiliation: 
World Bank
Sampling Procedure: 
The sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region. Industry stratification was designed in the way that follows: the universe was stratified into seven manufacturing industries and two services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Garments (ISIC code 18), Textiles (ISIC code 17), Chemicals (ISIC code 24), Rubber and Plastics (ISIC code 25), Non-metallic mineral products (ISIC code 26), Other Manufacturing (ISIC codes 16, 19-23, 27-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). 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, apart from the construction and agriculture sectors which are not included in the survey. Regional stratification for the Indonesia ES was done across nine regions: Jawa Barat, Jawa Timur, Jawa Tengah, DKI Jakarta, Banten, Sulawesi Selatan, Sumatera Utara, Bali and Lampung. The sample frame consisted of listings of firms from four sources: First, for panel firms the list of 1,444 firms from the Indonesia 2009 ES was used. Second, for fresh firms (i.e., firms not covered in 2009), economic census data from Statistics Indonesia known in Indonesia as Badan Pusat Statistik, henceforth BPS, was used. 2006 BPS data was used for service firms and small manufacturing firms and 2012 BPS data was used for medium and large manufacturing firms. Data for service firms were updated by cross-checking with lists from several business associations namely Aprindo 2013 for retail, AKI 2013, AKSINDO 2012 and Gapenri 2014 for construction, PHRI 2012 for hotels and restaurants and ALFI/ILFA 2014 for transportation. The quality of the frame was enhanced by the verification process conducted by the contractor Kadence International. However, the sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. 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 4.1% (108 out of 2,629 establishments).
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 "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. 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 interviews per contacted establishments was 0.50. 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 0.23.
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.
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.
Time Periods: 
August, 2017

No Visualizations Available.

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. Indonesia Enterprise Survey (ES) 2015, Ref. IDN_2015_ES_v01_M. Dataset downloaded from [URL] on [date].

This survey was conducted in Indonesia between April 2015 and November 2015, as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. Only registered businesses are surveyed in the Enterprise Survey. Data from 1,320 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews. The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

FieldValue
Modified Date
2020-04-15
Release Date
Identifier
3eb0bc95-8d80-4629-9736-8702ea28e666
License
License Not Specified
Contact Email
Rating: 
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No votes yet
Acronym: 
ES 2015
Type: 
Languages Supported: 
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 "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. 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 interviews per contacted establishments was 0.50. 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 0.23.
Time Periods: 
August, 2017
Primary Investigator Name, Affiliation: 
World Bank
Funding Name, Abbreviation, Role: 
World Bank
Version Description: 
v01, edited anonymized dataset for public distribution
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.
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
The sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region. Industry stratification was designed in the way that follows: the universe was stratified into seven manufacturing industries and two services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Garments (ISIC code 18), Textiles (ISIC code 17), Chemicals (ISIC code 24), Rubber and Plastics (ISIC code 25), Non-metallic mineral products (ISIC code 26), Other Manufacturing (ISIC codes 16, 19-23, 27-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). 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, apart from the construction and agriculture sectors which are not included in the survey. Regional stratification for the Indonesia ES was done across nine regions: Jawa Barat, Jawa Timur, Jawa Tengah, DKI Jakarta, Banten, Sulawesi Selatan, Sumatera Utara, Bali and Lampung. The sample frame consisted of listings of firms from four sources: First, for panel firms the list of 1,444 firms from the Indonesia 2009 ES was used. Second, for fresh firms (i.e., firms not covered in 2009), economic census data from Statistics Indonesia known in Indonesia as Badan Pusat Statistik, henceforth BPS, was used. 2006 BPS data was used for service firms and small manufacturing firms and 2012 BPS data was used for medium and large manufacturing firms. Data for service firms were updated by cross-checking with lists from several business associations namely Aprindo 2013 for retail, AKI 2013, AKSINDO 2012 and Gapenri 2014 for construction, PHRI 2012 for hotels and restaurants and ALFI/ILFA 2014 for transportation. The quality of the frame was enhanced by the verification process conducted by the contractor Kadence International. However, the sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. 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 4.1% (108 out of 2,629 establishments).
Release Date: 
Tuesday, August 16, 2016
Last Updated Date: 
Tuesday, August 16, 2016
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.
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.
Harvest Source: 
Harvest System ID: 
8881
Version Notes: 
All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1 (some exceptions apply due to comparability reasons). Variable names preceded by the prefix "EA" or "MYA" indicate questions specific to Vietnam and other countries in EAP 2015, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.
Citation Text: 
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. Indonesia Enterprise Survey (ES) 2015, Ref. IDN_2015_ES_v01_M. Dataset downloaded from [URL] on [date].
Modified date: 
17029
Study Type: 
Enterprise Survey
Primary Dataset: 
Yes
Mode of Data Collection: 

Face-to-face

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