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Large and Medium Manufacturing and Electricity Industries Survey 2010-2011 (2003 E.C)

Ethiopia, 2012
Reference ID
ETH_2011_LMMIS_v01_M
Producer(s)
Central Statistical Agency (CSA)
Metadata
DDI/XML JSON
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
Page views
201375
Downloads
251203
  • Study Description
  • Data Dictionary
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ETH_2011_LMMIS_v01_M

    Title

    Large and Medium Manufacturing and Electricity Industries Survey 2010-2011 (2003 E.C)

    Country
    Name Country code
    Ethiopia ETH
    Study type

    Enterprise Survey [en/oth]

    Series Information

    The Central Statistical Agency (CSA) has been providing statistical information on the country's manufacturing and electricity industries since 1976 (1968 E.C.) annually, to alert policy interventionists on the changes taking place in the sector. As part of this mission, this 36th survey on manufacturing and electricity industries for 2010/11 (2003 E.C) was conducted in 2012.

    Abstract

    The general objective of Manufacturing and Electricity Industries Survey is to collect basic quantitative information on the country's manufacturing that is essential for planning, policy making, monitoring, System of National Accounts (SNA) and evaluation of the performance and structure of the manufacturing industries, and ensure the smooth supply of inputs and production of commodities and deal with the problems that crop up in the sector.

    The specific objectives of Manufacturing and Electricity Industries Survey are to gauge the total number of proprietors/manufacturing industries, employment, income obtained, and volume and value of production and inputs, value added and other variables of interest. The specific objectives also enable to reveal the distribution of manufacturing industries across the regions and major towns of the country, the sector's contribution to the economy, the investment situation, etc.

    Kind of Data

    Census/enumeration data [cen]

    Unit of Analysis

    Enterprises/ Industries

    Version

    Version Description

    Version 1.0: Edited and non anonymized dataset, for internal use only.

    Version Date

    2012-08

    Scope

    Notes

    The Large and Medium Scale Manufacturing and Electricity Industries Survey covered the following data items, number of proprietors / enterprises involved in manufacturing, employment, income obtained, volume and value of production and inputs, wages and salaries paid by the establishments, paid-up capital, costs of production, value added, distribution of manufacturing industries across the country, and investment in manufacturing.

    Coverage

    Geographic Coverage

    National

    Universe

    All public and private manufacturing industries/enterprises which engaged ten persons and more and used power-driven machinery.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Central Statistical Agency (CSA) Ministry of Finance and Economic Development
    Funding Agency/Sponsor
    Name Role
    Government of Ethiopia Funding the study

    Sampling

    Sampling Procedure

    Not applicable - the survey enumerated all manufacturing industries/ enterprises that qualified as large and medium manufacturing industry category.

    Survey instrument

    Questionnaires

    The questinnaire contains the following sections/ items:

    Item 1.1. Adress of the establishments: This section has varibles that identify the questionnaire uniquely. The variables are; Killil, Zone, Wereda, Town, Higher, Kebele, House no, Year, ISIC, Establishmnet no, Eelephone no and P.O.Box codes or numbers.

    Item 1.2. Address of Head Office if Separated From Factory: In this section information about factory head office is collected (if the factory is separated from the head office). The varibles used to collect the information are; Killil, Zone, Wereda, Town, Higher, Kebele, House no, Telephone no and P.O.Box.

    Item 2. Basic Information About The Establishment: This section has questions related to basic information about the establishment.

    Item 3.1. Number of Persons Engaged: This section has variables (questions) that used to collect establishment's employees number by employees occupation.

    Item 3.2. Number of Persons Engaged by Educational Status: This section has varabils (questions) that used to collect establishment's employees number by their educational status.

    Item 3.3. Number of Persons Engaged by Age Group: Contains variables that used to collect information about employees number by employees age group.

    Item 3.4. Wages and Salaries and Other Employee Benefits Paid: This section has variables related to wages and other employees benefits by employee occupation.

    Item 3.5. Number of Permanent Employees by Basic Salary Group: This section has variables related to salary groups by sex of employees

    Item 4.1. Products and By-products: This section has questions related to product produced, produced quantity and sales.

    Item 4.2. Service and Other Receipts: Contains questions related to income from different source other than selling the products.

    Item 5. Value of Stocks: Contains questions that related to information about materials in the stock.

    Item 6.1. Cost and Quantity of Raw Materials, Parts and Containers Used: This section has questions related to principal raw materials, raw material type, quantity, value and source (local or imported).

    Item 6.2. Other Industrial Costs: This sections has questions related to other industrial costs including cost of energy and other expenses.

    Item 6.3. Other Non-industrial Expenses: Contains questions related to non-industrial expenses like license fee, advertising, stationary, etc.

    Item 6.4. Taxes Paid: This section has questions related to taxes like indirect tax and income tax.

    Item 7. Fixed Assets and Investment: This section has questions related to fixed assets and investment on fixed assests and working capital.

    Item 8.1. Annual Production at Full Capacity: This section has questions about quantity and value of products if the establishment uses its full capacity.

    Item 8.2. Estimated Value and Quantity of Raw Materials Needed, at Full Capacity: This section has questions about the estimate of quantity and value of raw materials that needed to function at full capacity.

    Item 8.3. The three major problems that prevented the establishment from operating at full capacity.

    Item 8.4. The three major problems that are facing the establishment at present.

    Data collection

    Dates of Data Collection
    Start End
    2012-04 2012-05
    Data Collectors
    Name Affiliation
    Central Statistical Agency Ministry of Finance and Economic Development
    Data Collection Notes

    Organization of Field Work
    The conduct of a survey cannot be executed without the arrangement of fieldwork. In recognition of this, the organization of fieldwork for this survey has been entrusted to the 25 Branch Statistical Offices placed across the country. All Branch Offices took part in the survey execution especially in recruiting the enumerators, participating in the training, assigning the field staff to their sites of enumeration, supervising the data collection and retrieving completed questionnaires and submitting them to the Head Office for data processing. The Branch Offices were also responsible for administering the financial and logistic aspects of the survey within their areas of operation. A total of 150 enumerators, 50 field supervisors, and 25 statisticians were involved in the data collection where on the average one supervisor was assigned to five manufacturing establishments for supervision of data collection. All the enumerators were supplied with the necessary survey equipment after the completion of the training to ensure the smooth operation of the survey. To facilitate the data collection activities, about 35 four-wheel drive vehicles were used.

    Training of Field Staff
    The execution of a survey and quality of data acquired from the survey highly depend on the type of training given to the enumerators and supervisors and the consequent understanding of the tasks to be performed and the standard procedures to be followed by the enumerators and supervisors in the survey undertaking. The quality and completeness of data are ensured when the training meets its objective of producing responsible and fervent enumerators and supervisors.

    In light of this point, thorough training was given to the field staff. The training which took place at the Head Quarters of CSA and lasted 7 days targeted staff from the Head Office, statisticians, senior field supervisors, and enumerators from Branch Statistical Offices. In the training, the field staff was given detailed classroom instruction on interviewing procedures, how to collect, edit and code data, and verify them, etc. The training also included demonstrations and classroom exercises to reinforce their understanding of concepts, definitions and theories discussed in the classroom with regard to interviewing methods, data collection and authentication, and other related activities.

    Method of Data Collection
    The manufacturing and electricity industries data was collected from enterprises by interviewing the enterprises' managers. The data obtained were recorded in a set of forms designed for this purpose. Each enumerators was assigned to five manufacturing establishments which were drawn from the Large and Medium Scale Manufacturing Industries directory. The reference year for the survey was 2010/11 (2003 E.C).

    Data processing

    Data Editing

    Editing, Coding and Verification
    Statistical data editing plays an important role in ensuring the quality of the collected survey data. It minimizes the effects of errors introduced while collecting data in the field, hence the need for data editing, coding and verification. Although coding and editing are done by the enumerators and supervisors in the field, respectively, verification of this task is also done at the Head Office comprehensively.

    An editing, coding and verification instruction manual was prepared and reproduced for this purpose. Then 30 editors-coders and verifiers were trained for two days in editing, coding and verification using the aforementioned manual as a reference and teaching aid. The completed questionnaires were edited, coded and later verified on a 100 % basis before the questionnaires were passed over to the data entry unit. The editing, coding and verification exercise of all questionnaires took 30 days.

    Data Entry, Cleaning and Tabulation
    Before data entry, the Business Statistics Directorate of the CSA prepared edit specification for the survey for use on personal computers for data consistency checking purposes. The data on the edited and coded questionnaires were then entered into personal computers and checked and cleaned for consistency purposes using the edit specification prepared earlier for this purpose. The data entry operation involved about 20 data encoders and took 30 days to finish the job. Finally, summarization of the data was done on personal computers to produce statistical tables as per the tabulation plan.

    Data Access

    Access authority
    Name Affiliation URL Email
    Central Statistical Agency Ministry of Finance and Economic Development http://www.csa.gov.et csa@csa.gov.et
    Access conditions

    The Central Statistical Agency (CSA) is committed to achieving excellence in the provision of timely, reliable and affordable official statistics for informed decision making in order to maximize the welfare of all Ethiopians. This is achieved through the collection and analysis of censuses, surveys and the use of administrative data as well as the dissemination a range of statistical products and providing assistance and services to users.

    A microdata dissemination policy is established by CSA to address the conditions and the manner in which anonymized microdata files may be released to users for research purposes. It also strives to identify the different levels of anonymization for different categories of data use. This policy is available at CSA website (www.csa.gov.et http://www.csa.gov.et).

    CSA will release microdata files for use by researchers for scientific research purposes when:
    The Director General is satisfied that all reasonable steps have been taken to prevent the identification of individual respondents
    The release of the data will substantially enhance the analytic value of the data that have been collected
    For all but purely public files, researchers disclose the nature and objectives of their intended research,
    It can be demonstrated that there are no credible alternative sources for these data, and
    The researchers have signed an appropriate undertaking.

    Terms and conditions of use of public data files are the following:
    The data and other materials provided by CSA will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of CSA.
    The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
    No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CSA.
    No attempt will be made to produce links among datasets provided by CSA, or among data from the CSA and other datasets that could identify individuals or organizations.
    Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from CSA will cite the source of data in accordance with the Citation Requirement provided with each dataset.
    An electronic copy of all reports and publications based on the requested data will be sent to CSA.
    The original collector of the data, CSA, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Cost Recovery Policy:
    It is the policy of CSA to encourage broad use of its products by making them affordable for users. Accordingly, CSA attempts to ensure that the costs of creating anonymized microdata files are built-in to the survey budget.
    At the same time, CSA attempts to recover costs associated with the provisions of special services that benefit only a specific group. Information on the price of each dataset is available at CSA website (www.csa.gov.et http://www.csa.gov.et).

    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:

    Central Statistical Agency of Ethiopia. Large And Medium Scale Manfacturing and Electricity Industries Survey 2010-2011 (2003 E.C). Ref. ETH_2011_LMMIS_v01_M. Dataset downloaded from [source] 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.

    Copyright

    (c) YEAR, Central Statistical Agency of Ethiopia

    Contacts

    Contacts
    Name Affiliation Email URL
    Data Administrator Central Statistical Agency of Ethiopia data@csa.gov.et https://www.csa.gov.et
    World Bank Microdata Library microdata@worldbank.org

    Metadata production

    DDI Document ID

    DDI_ETH_2011_LMMIS_v01_M

    Producers
    Name Affiliation Role
    Central Statistical Agency Ministry of Finance and Economic Development Production and documentation of the study
    Date of Metadata Production

    2012-10-19

    Metadata version

    DDI Document version

    Version 02 (August 2013). Edited version based on Version 01 DDI (DDI-ETH-CSA-LMSM&EIS-2012-v1.0) that was done by Central Statistical Agency of Ethiopia.

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