Enterprise Survey 2009

Micronesia, 2009

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Reference ID

FSM_2009_ES_v01_M_WB

DOI

https://doi.org/10.48529/j20w-8492

Producer(s)

World Bank

Collection(s)

Enterprise Surveys Fragility, Conflict and Violence

Metadata

DDI/XML JSON

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Created on

Mar 24, 2011

Last modified

Sep 26, 2013

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30635

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Identification

Survey ID number

FSM_2009_ES_v01_M_WB

Title

Enterprise Survey 2009

Country/Economy

Name	Country code
Micronesia, Fed. Sts.	FSM

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 every three to four years 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 Enterprise Survey initiative includes two types of surveys: Enterprise Surveys and Indicator Surveys. This study is an Indicator Survey. An Indicator Survey, which is similar to an Enterprise Survey, is implemented for smaller economies where the sampling strategies inherent in an Enterprise Survey are often not applicable due to the limited universe of firms. The survey instrument is limited to just those questions which form the basis of the global indicators as presented on the Enterprise Surveys website www.enterprisesurveys.org.

Abstract

This research is an Indicator Survey conducted in Federated States of Micronesia from May 14 to Aug. 24, 2009, as part of the Enterprise Survey initiative. An Indicator Survey, which is similar to an Enterprise Survey, is implemented for smaller economies where the sampling strategies inherent in an Enterprise Survey are often not applicable due to the limited universe of firms.

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.

Questionnaire topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, land and permits, taxation, business-government relations, and performance measures.

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.

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 the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population 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

Funding Agency/Sponsor

Name
World Bank

Sampling

Sampling Procedure

The sample for Federated States of Micronesia was selected using stratified random sampling. Two levels of stratification were used in this country: industry and establishment size.

Industry stratification was designed in the way that follows: the universe was stratified into 23 manufacturing industries, and one services sector.

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 a common practice, except in the sectors of construction and agriculture.

Regional stratification did not take place as only the island of Pohnpei, containing the capital city of Palikir and the commercial center of Kolonia. Of the 4 islands that make up the FSM (Yap, Pohnpei, Kosrae and Chuck), Pohnpei rates second to Chuck for the largest population, represents approximately 32% of the FSM total population (FSM Division of Statistics, Population Estimates 2008), and employs 46% of the formal workforce (FSM Statistical Yearbook 2008).

Due to limited data sources available in the FSM on registered businesses, the final sample frame was constucted from 2008 Registrars at the Social Securities Office data, the 2008 Foreign Investment Report produced by the Department of Natural Resources and Development, and 2008 Business Yellow Pages. The combined sample frame was then reviewed, and establishments with ineligible characteristics (industry sector, number of employees, geographic location) were removed from the list. The modified sample frame was used to select the sample of establishments for the full survey. This database contained the following information:
-Name of the firm
-Contact details
-Location
-ISIC code.

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 46% (87 out of 188 establishments). Breaking down by industry, the following numbers of establishments were surveyed: manufacturing - 5, services - 63.

Response Rate

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of
Federated States of Micronesia Implementation 2009" in "Technical Documents" folder.

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.

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.

Survey instrument

Questionnaires

The current survey instruments are available:

Services Questionnaire
Manufacturing Questionnaire
Screener Questionnaire

The Services Questionnaire is administered to the establishments in the services sector. The Manufacturing Questionnaire is built upon the Services Questionnaire and adds specific questions relevant to manufacturing.

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.

Data collection

Dates of Data Collection

Start	End
2009-05	2009-08

Data Collectors

Name
DevInt Micronesia

Supervision

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/Director of each establishment. Sometimes the survey respondent calls company accountants and human resource managers into the interview to answer questions in the sales and labor sections of the survey.

All Enterprise Surveys are conducted in the local languages.

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

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	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.

Access conditions

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 firm-level 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

Citation requirements

Where necessary please site the source as "Enterprise Analysis Unit - World Bank Group https://www.enterprisesurveys.org"

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.

Contacts

Email
enterprisesurveys@worldbank.org

Metadata production

DDI Document ID

DDI_FSM_2009_ES_v01_M_WB

Producers

Name
Antonina Redko

Metadata version

DDI Document version

Version 01

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