Large and Medium Manufacturing and Electricity Industries Survey 1996-1997 (1989 E.C)
Ethiopia, 1998
Identification
ETH_1997_LMMIS_v01_M
Large and Medium Manufacturing and Electricity Industries Survey 1996-1997 (1989 E.C)
| Name | Country code |
|---|---|
| Ethiopia | ETH |
Enterprise Census [en/census]
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 24th survey on manufacturing and electricity industries for 1996/97 (1989 E.C) was conducted in 1998.
The presence of adequate and current statistical data in various economic sectors that are considered essential for development planning, socio-economic policy formulation and economic analysis is vital in promoting the economic development of a country. Based on this general objective, the Central Statistical Authority (CSA) has been conducting surveys of various economic activities of which the annual Large and Medium Scale Manufacturing Industries survey is one.
Manufacturing is defined here according to International Standard Industrial Classification as "the physical or chemical transformation of materials or components into new products, whether the work is performed by power-driven machines or by hand, whether it is done in a factory or in the worker's home, and whether the products are sold at wholesale or retail. The assembly of the component parts of manufactured products is also considered as manufacturing activities."
The survey questionnaire is designed to answer questions about number of establishments, number of persons engaged, wages and salaries paid by industrial group, sex, nationality and occupation, paid-up capital, gross value of production, industrial and non-industrial costs. value added, operating surplus, quantity of production and raw materials conusmed, fixed assets, investment and production capacity and etc..
The main objectives of the annual survey of Large and Medium Scale Manufacturing and Electricity Industries are to:
1.Obtain basic statistical data that are essential for policy makers, planners and researchers by major industrial group.
2.Collect basic quantitative information on employment, volume of quantitative information on employment, volume of production and raw materials, structure and performance of the country's Large and Medium Scale Manufacturing and Electricity Industries.
3.Compile statistical data which will be an input to the System of National Accounts (SNA), on Large and Medium Scale Manufacturing and Electricity establishments as a whole and by major industrial group.
4.Obtain the number of proprietors engaged in these sectors and find out the major problems that create stumbling blocks for their activities.The identification of the problems is required for planning and executing any type of government intervention program.
Census/enumeration data [cen]
Establishment
Version
Version 1.0: Edited and non-anonymous dataset for internal use only.
Scope
The scope of Large and Medium Manufacturing Industries Surveys includes:
- Identification particulars
- Basic Information about the Establishment
- Number of Persons Engaged And Wages and Salaries Paid (in Birr)
- Products , Sales and Services of the Establishment (in Birr)
- Value of Stocks Raw Material Purchase And CGS (in Birr)
- Cost and Quantity of Raw Materials, Parts and Containers Used (Value in Birr)
- Fixed Assets and Investment (in Birr)
- Quantity and Value of Production at Full Capacity, Required Raw Material and other General Questions
Coverage
National
The universe of the large and medium scale manufacturing survey is confined to those establishments which engaged 10 persons and above and use power-driven machines and covers both public and private industries.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Central Statistical Agency (CSA) | Ministry of Finance and Economic Development |
| Name | Role |
|---|---|
| Government of Ethiopia | Funding the study |
Sampling
The survey covers all large and medium manufacturing industries which engage 10 persons or more and use power-driven machines
Survey instrument
The questinnaire contains the following section/ 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
| Start | End | Cycle |
|---|---|---|
| 1998-04 | 1998-06 | Gregorian calendar (G.C.) |
Training of Field Staff:
In the Large and Medium Scale Manufacturing Industries Survey, after updating the directory, questionnaires and instruction manuals and all relevant materials were prepared and printed in advance. Then, the training of all field staff were carried out for seven days at the head office. In this training, statisticians from the Central Statistical Authority's branch statistical office and the head office, field supervisors, and enumerators were involved. The training which was expected to ensure the quality of the data consisted of class room discussions, filling - in questionnaires by trainees for practice using financial statements of selected establishments were made and the errors were pointed out to the trainees, so that these wouldn't be repeated during the actual data collection.
Methods of Data Collection and Field Organization:
All CSA Statistical Branch Offices were involved in this survey. Accordingly, 30 heads and assistant heads of Branch Statistical Offices, overall about 64 enumerators and supervisors (43 from Region-14 and 21 from other CSA Branch Offices), 24 supervisors and 8 statisticians form the Head Office and about 24 drivers (8 from Region 14 and 16 from the rest of the branches) were involved in the data collection activity.
In Region 14 Branch Statistical Office, where the majority of the establishments under the scope of the survey are located, enumerators were organized into teams and each team on the average constituted of five enumerators and a field editor (a supervisor). The supervisor was provided with a four-wheel drive vehicle and a driver. Prior to the deployment of the teams, at Head Office, the establishments under the scope of the survey were divided among the teams, in accordance with their location. Then, each enumerator was assigned to collect data from 15 establishments on an average. The data collection operation was carried out in collaboration with the concerned personnel of each establishment. Due to the deployment of sufficient logistics and manpower and other organizational measures taken, the data collection activity took 30-45 days in most of the regions of the country.
Some problems were encountered during the data collection stage. The problems were, documents could not be obtained for seven public establishments which were on the process of privatization. Hence, the employment data for these estalishments were estimated from previous year information. However, the financial data for these establishments were taken from the authorized financial statements of each establishment, which was obtained from the board of trustee for Privatized Public Enterprise.
Data processing
Editing, Coding and Verification:
A number of quality control steps were taken to ensure the quality of data. The first step taken in this direction was, to revise the questionnaire, to make it easier for internal consistency checking or editing, both at field and office level. Furthermore, based on this revised questionnaire, revised instruction manual with field editing procedures were prepared in Amharic for both enumerators and supervisors (field editors). Using this manual, some editing and coding were carried out by field editors during the data collection stage. After the majority of the completed questionnaires were brought back to head office, final editing, coding and verification were performed by 6 editors, and 9 statistical technicians and statisticians. Finally, the edited and coded questionnaires were checked and verified by other senior professionals.
Data Entry, Cleaning and Tabulation:
The data were entered and verified on personal computers IMPS (Integrated Microcomputer Processing System) Software. Twelve CSA data entry staff and one data cleaner participated in this activity for fifteen days with close supervision of the activities by two professionals. Then, the data entered were cleaned using personal computers in combination with manual cleaning for some serious errors. Finally, the tabulation of the results was processed using the IMPS (Integrated Microcomputer Processing System) software by two programmer with technical assistance from Industry, Trade and Services Statistics Department staff.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Central Statistical Agency | Ministry of Finance and Economic Development | http://www.csa.gov.et | csa@csa.gov.et |
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 (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 )
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 1996-1997 (1989 E.C). Ref. ETH_1997_LMMIS_v01_M. Dataset downloaded from [source] on [date].
Disclaimer and copyrights
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
| Name | Affiliation | URL | |
|---|---|---|---|
| Data Administrator | Ethiopia Central Statistical Agency (CSA) | data@csa.gov.et | http://www.csa.gov.et |
| World Bank Microdata Library | microdata@worldbank.org |
Metadata production
DDI_ETH_1997_LMMIS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Central Statistical Agency | Ministry of Finance and Economic Development | Data archiving center |
2006-08-02
Metadata version
Version 02 (August 2013). Edited version based on Version 1.1 DDI (DDI-ETH-CSA-LMMIS-1997-v1.1) that was done by Central Statistical Agency of Ethiopia.