Bangladesh Census of Manufacturing Industries 1991-92
Bangladesh, 1991 - 1992
BANGLADESH BUREAU OF STATISTICS
Identification
idno
BGD-BBS-CMI-1991-92-v01
Title
Bangladesh Census of Manufacturing Industries 1991-92
Subtitle
20th series
Country
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Abstract
This report of the Census of Manufacturing Industries (CMII)1991-92 is the 20th 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 of Factories under the 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 CMI report will reflect better the existing situation of the manufacturing sector of the country and provide better information in the future.
In report findings of CMI 199 1-92 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 manufacturing 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 making decisions at the national level as well as for decentralized decisions at the institutional and firms level. We believe that this CMI 1991-92 report will make a significant contribution in this respect.
I want to express my sincere thanks to Mr. Mustafa, Director, Mr. Md. Shafiqul Islam khan, Deputy Director, Mr. Md. Nurul Islam, Statistical Officer and other Officers and staff of the Industrial Statistics Wing who worked very hard with utmost sincerity for conducting the census and bringing out this report.
I also express my thanks to the management of all manufacturing units who have rendered co-operation and help by providing information. I hope such co-operation will continue in future.
Comments and suggestions for further improvement of this census report will be welcome.
Recently, the BBS has taken steps to improve the coverage.of the CMI. It is expected that the present CMI report will reflect better the existing situation of the manufacturing sector of the country and provide better information in the future.
In report findings of CMI 199 1-92 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 manufacturing 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 making decisions at the national level as well as for decentralized decisions at the institutional and firms level. We believe that this CMI 1991-92 report will make a significant contribution in this respect.
I want to express my sincere thanks to Mr. Mustafa, Director, Mr. Md. Shafiqul Islam khan, Deputy Director, Mr. Md. Nurul Islam, Statistical Officer and other Officers and staff of the Industrial Statistics Wing who worked very hard with utmost sincerity for conducting the census and bringing out this report.
I also express my thanks to the management of all manufacturing units who have rendered co-operation and help by providing information. I hope such co-operation will continue in future.
Comments and suggestions for further improvement of this census report will be welcome.
Kind of Data
Census/enumeration data [cen]
Version
Version Date
1996-12-01
Coverage
Geographic Coverage
Filled in returns from 5543 establishments were collected from the sample frame of 9883 establishments.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| BANGLADESH BUREAU OF STATISTICS | Statistics Division, Ministry of Planning |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Statistics Division | SD |
Sampling
Sampling Procedure
It was decided to cover all large scale manufacturing industries identified in the directory (excluding handloom) of the 1990-91CMI. 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. After 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 handloom 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+establishmnents.
Since many of the characteristics of the manufacturing units covered by the CMI such as value of production, intermediate consumption etc. arc correlated with TPE (total persons engaged) the sampling frame was also stratified by TPE size groups.
The following table shows the sampling rates for each manufacturing substratum by TPE size groups.
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. After 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 handloom 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+establishmnents.
Since many of the characteristics of the manufacturing units covered by the CMI such as value of production, intermediate consumption etc. arc correlated with TPE (total persons engaged) the sampling frame was also stratified by TPE size groups.
The following table shows the sampling rates for each manufacturing substratum by TPE size groups.
Deviations from the Sample Design
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.
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
Estimation procedures:
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 I. Following the data collection, these basic weights need to be adjusted for nonresponse. The adjustment procedures are explained in the following articles below.
Adjustment factors for non- response:
The 1991-92 CMI data were collected by using list and area frames of establishments employing more than 10 persons. it was necessary for adjustment of basic sampling weights (expansion factors) 19 take into account of non-interview/non-responsc. Given the different nature of frames, the non response/ non-interview adjustment procedures were different for the establishments in the, two survey frames.
Adjustmcnts for List Frame/Directory of establishments:
In case of list frame for manufacturing establishments (excluding handloom), the basic sampling weights varicd by stratum. The certainty stratum had a basic weight of 1. In order to ensure an appropriate non-interview adjustment to tlie 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 qucstionnaire-not returned/not follow-up
6. Not found (after follow-up)
7. Transferred-no information
8. Closed-temporary
9. Closed permanent
10. Change of industry-out of scope
11. Number ofTPE-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 establishment which did not respond in time. The last category (14) was for new establishments not in the frame but whicll 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 Olin stratum h
where Ah=non-intcrvicw 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 It were calculated by using the relationship:
WIm = Ah *wh
where wh = basic weight for stratum h
3.7 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 neccssaiy to nccessamy 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 Alii = adjustment factor for the i-th sample area in stratum h
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 I. Following the data collection, these basic weights need to be adjusted for nonresponse. The adjustment procedures are explained in the following articles below.
Adjustment factors for non- response:
The 1991-92 CMI data were collected by using list and area frames of establishments employing more than 10 persons. it was necessary for adjustment of basic sampling weights (expansion factors) 19 take into account of non-interview/non-responsc. Given the different nature of frames, the non response/ non-interview adjustment procedures were different for the establishments in the, two survey frames.
Adjustmcnts for List Frame/Directory of establishments:
In case of list frame for manufacturing establishments (excluding handloom), the basic sampling weights varicd by stratum. The certainty stratum had a basic weight of 1. In order to ensure an appropriate non-interview adjustment to tlie 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 qucstionnaire-not returned/not follow-up
6. Not found (after follow-up)
7. Transferred-no information
8. Closed-temporary
9. Closed permanent
10. Change of industry-out of scope
11. Number ofTPE-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 establishment which did not respond in time. The last category (14) was for new establishments not in the frame but whicll 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 Olin stratum h
where Ah=non-intcrvicw 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 It were calculated by using the relationship:
WIm = Ah *wh
where wh = basic weight for stratum h
3.7 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 neccssaiy to nccessamy 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 Alii = adjustment factor for the i-th sample area in stratum h
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date |
|---|---|
| 1991 | 1992 |
Mode of data collection
Other [oth]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Statistics Division | SD | 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.
Data Appraisal
Data Appraisal
The filled -in returns were first edited manually. Omissions, inconsistencies and errors detected in the returns were corrected by the desk officers. In some cases respondents had to be contacted for elucidating further information. In a few eases where information gaps could not be rectified, imputations were made. Coding of specific items was done manually. After editing and coding, returns were sent for computer processing. Final tables obtained from the computer in the form of computer printouts were directly used for publication. This helped avoiding corrections 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 (Rev-2).
Data access
Contact
| Name | Affiliation |
|---|---|
| BANGLADESH BUREAU OF STATISTICS | BBS |
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-1991-92-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| BANGLADESH BUREAU OF STATISTICS | BBS | Statistics Division, Ministry of Planning | Documentation of the study |
Date of Production
2019-09-01