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Enterprise Survey 2019

Haiti, 2019
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Reference ID
HTI_2019_ES_v01_M
Producer(s)
World Bank Group
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
5565
Downloads
126
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    HTI_2019_ES_v01_M

    Title

    Enterprise Survey 2019

    Country
    Name Country code
    Haiti HTI
    Study type

    Enterprise Survey [en/oth]

    Series Information

    An 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 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). The Enterprise Surveys are conducted 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 ES currently covers over 185,000 firms in 151 countries, of which 143 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.

    Abstract

    This research was conducted in Haiti in October 2019, as part of the of the Enterprise Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build 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 face-to-face 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.

    In Haiti, data from 149 establishments were taken from listings from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. The survey topics include firm characteristics, infrastructure and services, sales and supplies, management practices, degree of competition, innovation, land and permits, crime, finance, mobile money, insurance, business-government relations, labor, business environment, performance, and post-interview information.

    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

    Version 01. Edited, anonymous dataset for public distribution

    Scope

    Notes

    The Haiti 2019 Enterprise Survey covered the following topics:

    • General information of the firm/ establishment
    • Infrastructure and services
    • Sales and supplies
    • Management practices
    • Degree of competition
    • Innovation
    • Land and permits
    • Crime
    • Finance
    • Mobile money
    • Insurance
    • Business-government relations
    • Labor
    • Business environment
    • Performance
    • Post-interview information

    Coverage

    Geographic Coverage

    The entire sample is composed of four communes in Port-au-Prince Arrondissement:

    • Port-au-Prince commune
    • Delmas commune
    • Peiton-Ville commune
    • Tabarre commune

    Because of safety concerns on the ground or during transit, the following communes in Port-au-Prince Arrondissement were excluded from the sample:

    • Carrefour
    • Cite Soleil
    • Gressier
    • Kenscoff
    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

    Following the standard methodological approach, the sample is comprised of businesses that employ 5 or more employees and have at least some private ownership. However, departing from the global methodology, some businesses in the professional and support services activities which are not part of the standard Universe of Inference of the ES were included in the Haiti survey.

    Producers and sponsors

    Primary investigators
    Name
    World Bank Group
    Funding Agency/Sponsor
    Name
    World Bank Group

    Sampling

    Sampling Procedure

    Attempts were made to obtain quality sampling frames. However due to the lack of reliable data, the sample frame was limited to listings of firms from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. In addition, corrections to the sampling frame were made as interviewers were in the field and new businesses were found.

    The entire sample is composed of four communes in Port-au-Prince Arrondissement:

    • Port-au-Prince commune - where fieldwork was determined depending on the day and level of violence on that particular day.
    • Delmas commune - where fieldwork was determined depending on the day and level of violence on that particular day.
    • Peiton-Ville commune - which is considered one of the wealthier communes; fieldwork was conducted during the mornings before protesters make their way there.
    • Tabarre commune - which was comparatively safer when no protests were planned.

    The sampling strategy from the onset began by mapping the locations of the firms in the sampling frame and determining the safety situation. As safety windows appeared, interviewers would go to areas and try to screen and conduct the interview in the business. A total of 149 firms were interviewed.

    Weighting

    The weights are constructed based on the location of the completed interviews, and the density of firms in the sampling frames. Since no stratification was used for the sampling, the only cells for stratification of the weights are the communes in order to account unsafe areas.

    Given the non-randomness element introduced in the sampling due to safety concerns, users are cautioned about using the weights. While the weights scale-up to the available sampling frame, they are constructed only for the safe areas of Port-au-Prince.

    Survey instrument

    Questionnaires

    Two questionnaires - Manufacturing amd Services were used to collect the survey data.

    The 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).

    Data collection

    Dates of Data Collection
    Start End
    2019-10 2019-10

    Data Access

    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 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

    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. Haiti Enterprise Survey (ES) 2019, Ref. HTI_2019_ES_v01_M. Dataset downloaded from [URL] on [date].

    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

    Contacts
    Name Affiliation Email
    Enterprise Analysis Unit The World Bank enterprisesurveys@worldbank.org

    Metadata production

    DDI Document ID

    DDI_HTI_2019_ES_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2019-06-10

    Metadata version

    DDI Document version

    Version 01 (June 2020)

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