Bangladesh Census of Manufacturing Industries 1989-90
Bangladesh, 1989 - 1990
BANGLADESH BUREAU OF STATISTICS
Identification
idno
BGD-BBS-CMI-1989-90-v01
Title
Bangladesh Census of Manufacturing Industries 1989-90
Country
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Abstract
This report of the Census of Manufacturing Industries (CMI)1989-90 is the 18th in a series. The data presented in it relate to the manufacturing establishments having 10 or more workers. The report covers all the units registered with the Chief inspector oFactorics under thc Factories Act, 1934 as well as those that have not yet been registered.
Recently , the BBS has taken steps to improve the coverage of the CMI. it is expected that the present CN/11 report will reflect better the existing situation of the manufacturing sector of the country and provide better inform'alion in the future.
In report findings of CMI 1989-90 the format of the earlier report has been followed primarily for ensuring convenience of data users. The report contains information on legal and ownership status, employment, value of fixed assets, gross capital formation, gross value of outputs and value added, etc. it is hoped that the report will be useful for reassessing contributions of the manulhcturing sector to the GDP of the country as well as for monitoring growth and development in the manufacturing sector.
The government has adopted policies for progressive deregulation of industrial investment and liberalization of trade. The need for accurate data in this context is great for policy makiilg decisions at the national leyel as well as for decentralized decisions at the institutional and firms level. We believe that this CM1 1989-90 report will make a significant contribution in this respect.
As with the earlier CMIs the main objectives of the 1989-90 CMI were to determine the volume of industrial production, fixed capital formation, employment and gross value added in manufacturing industries. The data collected followed broadly the scope of the earlier CMIs, specifically in the following areas:
* ownership status;
* fixed assets by category;
* eniploymncnl by category;
* value and quantity of raw material consumed;
* employment cost;
* operating expenses;
* inventories of physical assets;
* cost and quantity of fimel consumed and by category;
* value of gross output;
* value added and indirect taxes, etc.
The informnatiomi collected was ultimately processed and classified by manufacturing sector activities following the Bangladesh Standard Industrial Classification (BSIC) at 4 - digit level.
Recently , the BBS has taken steps to improve the coverage of the CMI. it is expected that the present CN/11 report will reflect better the existing situation of the manufacturing sector of the country and provide better inform'alion in the future.
In report findings of CMI 1989-90 the format of the earlier report has been followed primarily for ensuring convenience of data users. The report contains information on legal and ownership status, employment, value of fixed assets, gross capital formation, gross value of outputs and value added, etc. it is hoped that the report will be useful for reassessing contributions of the manulhcturing sector to the GDP of the country as well as for monitoring growth and development in the manufacturing sector.
The government has adopted policies for progressive deregulation of industrial investment and liberalization of trade. The need for accurate data in this context is great for policy makiilg decisions at the national leyel as well as for decentralized decisions at the institutional and firms level. We believe that this CM1 1989-90 report will make a significant contribution in this respect.
As with the earlier CMIs the main objectives of the 1989-90 CMI were to determine the volume of industrial production, fixed capital formation, employment and gross value added in manufacturing industries. The data collected followed broadly the scope of the earlier CMIs, specifically in the following areas:
* ownership status;
* fixed assets by category;
* eniploymncnl by category;
* value and quantity of raw material consumed;
* employment cost;
* operating expenses;
* inventories of physical assets;
* cost and quantity of fimel consumed and by category;
* value of gross output;
* value added and indirect taxes, etc.
The informnatiomi collected was ultimately processed and classified by manufacturing sector activities following the Bangladesh Standard Industrial Classification (BSIC) at 4 - digit level.
Kind of Data
Census/enumeration data [cen]
Version
Version Date
1996-02
Coverage
Universe
Filled in returns from 5535 establishments were collected from the sample frame of 9883 cstablishmncnts.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| BANGLADESH BUREAU OF STATISTICS | Statistics and Informatics Division, Ministry of Planning |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Statistics and Informatics Division | SID |
Sampling
Sampling Procedure
It was decided to cover all large scale manufacturing industries identified in the directory (excluding handloom) of the 1 989-90 CMI. It was also decided that about 2860 establishments be selected from the medium scale establishments. The total sample size was determined on the basis of precision requirements and also for obtaining reliable results for as many 4 - digit level BSIC groups as possible.
A stratified single-stage systematic sample design was used to select the sample of manufacturing industries. To increase the efficiency of the sample design the frame was stratified into as many homogeneous strata or groups as possible. Alter determining the approximate effect of alternative sampling strategies on the precision of the estimates at the 4 - digit BSIC level, it was decided to divide the manufacturing sector, represented by the directory and list frame of handlooin establishments, into the following 7 substrata :-
1. BSIC with 10-19 establishments.
2. BSIC with 20-49 establishments.
3. BSIC with 50-99 establishments and with less than 50% of overall TPE in the 50+TPE stratum.
4. BSIC with 50-99 establishments and with more than 50% of overall TPE in the 50+ TPE stratum.
5. BSIC with 100-299 establishments and with less than 50% of overall TPE in the 50+TPE stratum.
6. BSIC with 100-299 establishments and with more than 50% of overall TPE in the 50+TPE stratum.
7. BSIC with 300+establishments.
Since many of the characteristics of the manufacturing units covered by the CMI such as value of production. intermediate consumption etc. are correlated with TPE (total persons engaged) the sampling frame was also stratified by TPE size groups.
The new sampling approach for the manufacturing sector resulted in a sample of approximately 7633 manufacturing establishments (excluding handloom) which was within the upper limit determined by the resources of the CMI.
The handloom establishments were selected through an area sample. A two stage sample design was used for the purpose. The first stage was for selection of the enumeration areas which were selected with probability proportional to size (PPS). in the second stage, the ultimate sampling units or handloom establishments were selected by using systematic sampling method.
A stratified single-stage systematic sample design was used to select the sample of manufacturing industries. To increase the efficiency of the sample design the frame was stratified into as many homogeneous strata or groups as possible. Alter determining the approximate effect of alternative sampling strategies on the precision of the estimates at the 4 - digit BSIC level, it was decided to divide the manufacturing sector, represented by the directory and list frame of handlooin establishments, into the following 7 substrata :-
1. BSIC with 10-19 establishments.
2. BSIC with 20-49 establishments.
3. BSIC with 50-99 establishments and with less than 50% of overall TPE in the 50+TPE stratum.
4. BSIC with 50-99 establishments and with more than 50% of overall TPE in the 50+ TPE stratum.
5. BSIC with 100-299 establishments and with less than 50% of overall TPE in the 50+TPE stratum.
6. BSIC with 100-299 establishments and with more than 50% of overall TPE in the 50+TPE stratum.
7. BSIC with 300+establishments.
Since many of the characteristics of the manufacturing units covered by the CMI such as value of production. intermediate consumption etc. are correlated with TPE (total persons engaged) the sampling frame was also stratified by TPE size groups.
The new sampling approach for the manufacturing sector resulted in a sample of approximately 7633 manufacturing establishments (excluding handloom) which was within the upper limit determined by the resources of the CMI.
The handloom establishments were selected through an area sample. A two stage sample design was used for the purpose. The first stage was for selection of the enumeration areas which were selected with probability proportional to size (PPS). in the second stage, the ultimate sampling units or handloom establishments were selected by using systematic sampling method.
Response Rate
The 1989-90 CMI data were collected by using list and area frames of establishments employing more than 10 persons. It was neccssaly for adjustment of basic sampling weights (expansion factors) to take into account of non-interview/non-response. Given the different nature of frames, the nonresponse/ non-interview adjustment procedures were different for the establishments in the two survey frames.
Weighting
According to the specified sampling procedures, the basic weight for the establishments in each stratum would be equal to the sampling interval, and the certainty establishments would have a basic weight of 1. Following the data collection, these basic weights need to be adjusted for nonresponse. The adjustment procedures are explained in the following articles below.
Adjustments for List Frame/Directory of establishments
In case of list frame for manufacturing establishments (excluding handlooin), the basic sampling weights varied by stratum. The certainty stratum had a basic weight of 1. In order to ensure an appropriate non-interview adjustment to the weights, an interview status code was introduced for each sample establishment. The following 2-digist interview status codes were introduced to ensure proper adjustment to weights:
1. Completed questionnaire
2. Incomplete information-not used
3. Refused
4. Respondent not available
5. Mail-out questionnaire-not rcturncdlnot follow-up
6. Not found (after follow-up)
7. Transferred-no information
8. Closed-tcmporaty
9. Closed permanent
10. Change of industry-out of scope
11. Number of TPE-out of scope
12. Fake establishment
13. Duplicate
14. New establishment-not in frame
Some of these codes applied mostly to the manufacturing sector, where the data collection began with a mail-out of the questionnaires, followed by personal interviews for most of the establishments which did not respond in time. The last category (14) was for new establishments not in the frame but which were identified and interviewed by the enumerators.
After the status code had been entered for each establishment in the file, the total number of sample establishments by status code for each stratum was calculated. The following non-interview adjustment factor was then calculated separately for each stratum:
Ah= No. of establishments with status codes 01 through 08 in stratum h
No. of establishments with status code 01 in stratum h
where Ah=non-intcrview adjustment factor for stratum h.
The numerator of the adjustment factor was the number of valid establishments and the denominator was the number of respondent establishments.
The adjustment factor was not applied to the weight of questionnaire with status code 14 (new establishments not in frame), since they were simply to be added to the file with a weight of 1. The final weight for the remaining establishments in stratum Ii were calculated by using the relationship:
Wh = Ah*wh
where wh = basic weight for stratum h.
Adjustments for List/area frame for handloom establishments:
For the area/list frame, each sample enumeration area had a unique weight, since the sample areas were selected with probability proportional to size (PPS) and its weight was adjusted in the first stage of sampling. For this purpose, it was necessary to necessary to determine the number of valid (10+) establishments in the sample area and the number of completed interviews for each sample area. The basic weight for the sample area was multiplied by the following non-interview adjustment factor.
No. of valid establishments in the sample area
Ahi=..............................................................
No.of respondent establishments interviewed in the area
where Ahi = adjustment factor for the i-th sample area in stratum hi.
Adjustments for List Frame/Directory of establishments
In case of list frame for manufacturing establishments (excluding handlooin), the basic sampling weights varied by stratum. The certainty stratum had a basic weight of 1. In order to ensure an appropriate non-interview adjustment to the weights, an interview status code was introduced for each sample establishment. The following 2-digist interview status codes were introduced to ensure proper adjustment to weights:
1. Completed questionnaire
2. Incomplete information-not used
3. Refused
4. Respondent not available
5. Mail-out questionnaire-not rcturncdlnot follow-up
6. Not found (after follow-up)
7. Transferred-no information
8. Closed-tcmporaty
9. Closed permanent
10. Change of industry-out of scope
11. Number of TPE-out of scope
12. Fake establishment
13. Duplicate
14. New establishment-not in frame
Some of these codes applied mostly to the manufacturing sector, where the data collection began with a mail-out of the questionnaires, followed by personal interviews for most of the establishments which did not respond in time. The last category (14) was for new establishments not in the frame but which were identified and interviewed by the enumerators.
After the status code had been entered for each establishment in the file, the total number of sample establishments by status code for each stratum was calculated. The following non-interview adjustment factor was then calculated separately for each stratum:
Ah= No. of establishments with status codes 01 through 08 in stratum h
No. of establishments with status code 01 in stratum h
where Ah=non-intcrview adjustment factor for stratum h.
The numerator of the adjustment factor was the number of valid establishments and the denominator was the number of respondent establishments.
The adjustment factor was not applied to the weight of questionnaire with status code 14 (new establishments not in frame), since they were simply to be added to the file with a weight of 1. The final weight for the remaining establishments in stratum Ii were calculated by using the relationship:
Wh = Ah*wh
where wh = basic weight for stratum h.
Adjustments for List/area frame for handloom establishments:
For the area/list frame, each sample enumeration area had a unique weight, since the sample areas were selected with probability proportional to size (PPS) and its weight was adjusted in the first stage of sampling. For this purpose, it was necessary to necessary to determine the number of valid (10+) establishments in the sample area and the number of completed interviews for each sample area. The basic weight for the sample area was multiplied by the following non-interview adjustment factor.
No. of valid establishments in the sample area
Ahi=..............................................................
No.of respondent establishments interviewed in the area
where Ahi = adjustment factor for the i-th sample area in stratum hi.
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date |
|---|---|
| 1989 | 1990 |
Mode of data collection
Other [oth]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Statistics and Informatics Division | SID | Ministry of Planning |
Data Processing
Cleaning Operations
The filled -in returns were first edited manually. Omissions, inconsistencies and errors detected in the returns .Error corrected by the desk officers. In some cases respondents had to be contacted for elucidating further information . In a few cases where information gaps could not be rectified, imputations were made. Coding of specific ileins was done manually. After editing and coding returns 'crc sent for computer processing. Final tables obtained from the computer in the form of computer printouts were directly used for publication. This helped avoiding corrcctions and editing at the printing stage and expedited considerably the printing process. For tabulation purposes classification of the manufacturing establishments followed the Bangladesh Standard Industrial Classification(BSIC '86) which is developed in conformity with the International Standard Industrial Classification.
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.
Metadata production
Document ID
DDI-BGD-BBS-CMI-1989-90-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| BANGLADESH BUREAU OF STATISTICS | BBS | Statistics and Informatics Division, Ministry of Planning | Documentation of the study |
Date of Production
2019-09-01