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World Bank Water Survey 2018

Vietnam, 2018
Get Microdata
Reference ID
VNM_2018_WS_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
4233
Downloads
47
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    VNM_2018_WS_v01_M

    Title

    World Bank Water Survey 2018

    Country
    Name Country code
    Vietnam VNM
    Study type

    Enterprise Survey [en/oth]

    Abstract

    The World Bank Water Survey of Vietnam surveyed 1,032 firms between May and December 2018 throughout Vietnam. The survey questionnaire is largely based on the World Bank Enterprise Surveys, however with an expanded focus on WSS service and quality added to specifically assess water sector challenges. The survey can be used to analyze the impact of water and energy sector constraints on firm performance within the country.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Firm

    Version

    Version Description
    • v2.1: Edited, anonymous dataset for public distribution.

    Scope

    Notes

    Respondents were asked questions on operations and firm performance over 2017. Survey respondents were randomly selected from 48 strata, constructed based upon three dimensions:

    1. region (Red River Delta, North and South Central Coast, South East, and Mekong River Delta) ;
    2. industrial classification (manufacturing of food products, all other manufacturing, construction, and services); and
    3. labor size (small (<20>100 employees)).

    The sampling frame is based on the General Statistics Office’s (GSO) Enterprise Census 2017- the most recent source of information on enterprises in Vietnam. A total of 270,499 firms in these four industries exist in the GSO census, comprising the total sampling frame. Firms were randomly selected from this population until the target sample size for each stratum was reached. Firms which refused to participate in the survey or were unreachable were replaced by random draw.

    Coverage

    Geographic Coverage

    Firms were sampled throughout 4 regions: Red River Delta, North and South Central Coast, South East, and Mekong River Delta. Of these four regions, 18 provinces were selected. These included Hà N?i, B?c Ninh, H?i Phòng (Red River Delta); Thanh Hóa, Ngh? An, Ðà N?ng, Qu?ng Nam, Bình Ð?nh, Khánh Hòa (North and South Central Coast); Bình Duong, Ð?ng Nai, H? Chí Minh (South East); Long An, Ti?n Giang, An Giang, Kiên Giang, C?n Tho, Cà Mau (Mekong River Delta).

    Producers and sponsors

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

    Sampling

    Sampling Procedure

    The sampling design of the survey is characterized by the following characteristics:

    1. Sampling frame is based on GSO's Enterprise Census 2017
    2. The survey covers enterprises in 18 provinces including: Hà N?i, B?c Ninh, H?i Phòng (Red River Delta); Thanh Hóa, Ngh? An, Ðà N?ng, Qu?ng Nam, Bình Ð?nh, Khánh Hòa (North and South Central Coast); Bình Duong, Ð?ng Nai, H? Chí Minh (South East); Long An, Ti?n Giang, An Giang, Kiên Giang, C?n Tho, Cà Mau (Mekong River Delta).
    3. Stratification is based on 3 dimensions:
      a. Region: Red River Delta, North and South Central Coast, South East and Mekong River Delta
      b. Main industry: Manufacturing of food products, All other manufacturing, Construction, and Services
      c. Labor size: Small (&lt;= 19 employees); Medium (between 20 and 99 employees); Large (100 and above employees)
    4. In each stratum, enterprises are chosen using a simple random process

    Based on the sampling frame, sample drawings are implemented by randomly selecting enterprises independently in each stratum. Enterprises are sorted by a random number (generated with a seed) and keep the order of rankings. Interviews are prioritized on the enterprises with smallest orders.

    Deviations from the Sample Design

    1,032 enterprises were survived, 32 more than originally intended. Target sample sizes were reached in all 48 strata, with a surplus occurring in 22 strata.

    Weighting

    Weights have been generated based on the sample and population described in the sampling procedure.

    Survey instrument

    Questionnaires

    The questionnaire is published in English and provided under the Documentation tab.

    Data collection

    Dates of Data Collection
    Start End
    2018-05-01 2018-12-31
    Data Collection Notes

    An interview is conducted by the following process:

    1. A survey assistant team working in the contractor's back office searched for contact information (telephone and address) of selected enterprises
    2. Administering the Screener questionnaire: Eligibility of a selected enterprise is investigated via the administering of the Screener questionnaire. There are two main mechanisms for doing so, as follows:
      a. A caller team working in the contractor's back office called the numbers and went through the Screener questionnaire.
      b. Interviewers from the local provinces were deployed to look for the selected enterprises who couldn’t be found by the assistant team. If they found an enterprise, they would use the Screener form to administer the questionnaire and made the enterprise available for the main survey questionnaire.
    3. An interviewer would schedule a specific time with the eligible enterprises who had agreed to be interviewed and conducted the interview accordingly.
    4. Subsequent following ups would be carried out to obtain data that were not available on the previous interview occasions.

    Data Access

    Access authority
    Name Affiliation URL
    Microdata Library World Bank microdata.worldbank.org
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
    Access conditions
    • Public use files, accessible to all
    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    World Bank.Water Survey of Vietnam 2018 (WS 2018). Ref: VNM_2018_WS_v01_M. Downloaded from [url] on [date].

    Contacts

    Contacts
    Name Affiliation Email
    Jason Russ World Bank Jruss@worldbank.org

    Metadata production

    DDI Document ID

    DDI_VNM_2018_WS_v01_M_WB

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

    2020-03-03

    Metadata version

    DDI Document version

    Version 01 (March 2020)

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