Annual Survey of Philippine Business and Industry (ASPBI) 2015, 44th round
Philippines, 2016
Reference ID
PHL-PSA-ASPBI-2015-v1.0
Producer(s)
Philippine Statistics Authority (PSA)
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Identification
Annual Survey of Philippine Business and Industry (ASPBI) 2015, 44th round
44th round
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-ASPBI-2015-v1.0
The 2015 Annual Survey of Philippine Business and Industry (ASPBI) aims to collect and generate information on the levels, structure, performance and trends of economic activities of the formal sector in the entire country for the year 2015.
Like the 2014 ASPBI operations, the data processing will be decentralized to the Provincial Statistical Offices (PSOs) as the provinces are near the establishments which are data source of the survey.
Specifically, the 2015 ASPBI aims to:
· collect and generate detailed information on employment, income, expense, capital expenditures and total assets
of the establishments;
· generate indicators such as value added, labor productivity, average compensation and others necessary to evaluate the performance of industries at the national and regional levels;
· generate MSME (micro, small and medium establishments/enterprises) data using total assets; and
· gather information for the improvement of the list of establishments.
The data collected from the ASPBI will constitute bases upon which the government and the private sector can formulate policies and evolve economic development plans.
Specifically, the survey results are used in:
· constructing national and regional income accounts of the Philippine economy;
· formulating and monitoring plans/policies in the attainment of national and regional economic goals;
· determining and comparing regional economic structures and performances;
· analysing the performance and contribution of MSMEs to the total economy;
· conducting market research and feasibility studies among others; and
· updating the frame of establishments.
Like the 2014 ASPBI operations, the data processing will be decentralized to the Provincial Statistical Offices (PSOs) as the provinces are near the establishments which are data source of the survey.
Specifically, the 2015 ASPBI aims to:
· collect and generate detailed information on employment, income, expense, capital expenditures and total assets
of the establishments;
· generate indicators such as value added, labor productivity, average compensation and others necessary to evaluate the performance of industries at the national and regional levels;
· generate MSME (micro, small and medium establishments/enterprises) data using total assets; and
· gather information for the improvement of the list of establishments.
The data collected from the ASPBI will constitute bases upon which the government and the private sector can formulate policies and evolve economic development plans.
Specifically, the survey results are used in:
· constructing national and regional income accounts of the Philippine economy;
· formulating and monitoring plans/policies in the attainment of national and regional economic goals;
· determining and comparing regional economic structures and performances;
· analysing the performance and contribution of MSMEs to the total economy;
· conducting market research and feasibility studies among others; and
· updating the frame of establishments.
Sample survey data [ssd]
Establishment.
Version
v1: Edited data, first version, for internal use only
2018-10-19
Scope
Topic | Vocabulary | URI |
---|---|---|
Agriculture, forestry, fisheries | Philippine Statistics Authority | |
Mining, manufacturing, construction | Philippine Statistics Authority | |
Energy | Philippine Statistics Authority | |
Transport | Philippine Statistics Authority | |
Banking, insurance, financial statistics | Philippine Statistics Authority | |
Business statistics | Philippine Statistics Authority |
Coverage
National - for All establishments
Regional- for establishments with TE 20 and over
National Capital Region (NCR)
Cordillera Administrative Region (CAR)
Region I - Ilocos Region
Region II - Cagayan Valley
Region III - Central Luzon
Region 4A - CALABARZON
MIMAROPA
Region V - Bicol Region
Region VI - Western Visayas
Region VII - Central Visayas
Negros Island Region
Region VIII - Eastern Visayas
Region IX - Zamboanga Peninsula
Region X - Northern Mindanao
Region XI - Davao Region
Region XII - SOCCSKSARGEN
Region XIII - Caraga
Autonomous Region in Muslim Mindanao (ARMM)
Regional- for establishments with TE 20 and over
National Capital Region (NCR)
Cordillera Administrative Region (CAR)
Region I - Ilocos Region
Region II - Cagayan Valley
Region III - Central Luzon
Region 4A - CALABARZON
MIMAROPA
Region V - Bicol Region
Region VI - Western Visayas
Region VII - Central Visayas
Negros Island Region
Region VIII - Eastern Visayas
Region IX - Zamboanga Peninsula
Region X - Northern Mindanao
Region XI - Davao Region
Region XII - SOCCSKSARGEN
Region XIII - Caraga
Autonomous Region in Muslim Mindanao (ARMM)
The primary consideration in the determination of sample size for the survey was its manageability at the optimum level of estimated budget without compromising the reliability and accuracy of survey results and the timeliness of retrieval of accomplished questionnaires from respondents.
Sample sizes for each of the strata were determined separately by employment stratum to achieve a minimum precision of 4% margin of error for a 90% confidence interval on employment estimates. Then, the sample size for industry stratum was determined by applying specified sampling rates and allocation rule for each employment stratum. Total sample size was obtained by aggregating separately each estimate at the industry stratum.
For sampling purposes, the survey frame was divided into the five primary strata. Stratum 1 comprises of Mining and Quarrying (B) and Electricity, Gas, Steam and Air Conditioning Supply (D); Stratum 2 consists of certainty industries including the Information and Communication Technology (ICT) core industries and Business Process Management (BPM) industries; Stratum 3 for GOCCs; Stratum 4 is composed of establishments with TE 100 and over; and all other establishments not classified in strata 1-4 were grouped as Stratum 5 and were treated as Non-Certainty Stratum. Strata 1-4 were considered as certainty stratum.
Sample sizes for each of the strata were determined separately by employment stratum to achieve a minimum precision of 4% margin of error for a 90% confidence interval on employment estimates. Then, the sample size for industry stratum was determined by applying specified sampling rates and allocation rule for each employment stratum. Total sample size was obtained by aggregating separately each estimate at the industry stratum.
For sampling purposes, the survey frame was divided into the five primary strata. Stratum 1 comprises of Mining and Quarrying (B) and Electricity, Gas, Steam and Air Conditioning Supply (D); Stratum 2 consists of certainty industries including the Information and Communication Technology (ICT) core industries and Business Process Management (BPM) industries; Stratum 3 for GOCCs; Stratum 4 is composed of establishments with TE 100 and over; and all other establishments not classified in strata 1-4 were grouped as Stratum 5 and were treated as Non-Certainty Stratum. Strata 1-4 were considered as certainty stratum.
Establishment.
The ASPBI 2015 covered all operating establishments in 2015.
Establishment with TE of 20 and Over - national and regional
Establishment with TE less than 20 - national
Establishment with TE of 20 and Over - national and regional
Establishment with TE less than 20 - national
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full Funding |
Sampling
The primary consideration in the determination of sample size for the survey was its manageability at the optimum level of estimated budget without compromising the reliability and accuracy of survey results and the timeliness of retrieval of accomplished questionnaires from respondents.
Sample sizes for each of the strata were determined separately by employment stratum to achieve a minimum precision of 4% margin of error for a 90% confidence interval on employment estimates. Then, the sample size for industry stratum was determined by applying specified sampling rates and allocation rule for each employment stratum. Total sample size was obtained by aggregating separately each estimate at the industry stratum.
For sampling purposes, the survey frame was divided into the five primary strata. Stratum 1 comprises of Mining and Quarrying (B) and Electricity, Gas, Steam and Air Conditioning Supply (D); Stratum 2 consists of certainty industries including the Information and Communication Technology (ICT) core industries and Business Process Management (BPM) industries; and tourism characteristic industries; Stratum 3 for GOCCs; Stratum 4 is composed of establishments with TE 100 and over; and all other establishments not classified in strata 1-4 were grouped as Stratum 5 and were treated as Non-Certainty Stratum. Strata 1-4 were considered as certainty stratum.
The Stratum Code, Sampling Units, Sampling Indicator are as follows:
1 - Establishments under section B and D - Certainty
2 - Establishments under the certainty industries ( SICT Core Industries, BPM industries and Tourism characteristic industries) - Certainty
3 - GOCCs - Certainty
4 - Establishments with TE of 100 and over - Certainty
5 - All other establishments not classified in strata 1-4 - Non-Certainty
A certainty stratum is defined as the employment stratum whose sampling ratio is 100 percent. In this stratum, all establishments are taken as certainty samples, i.e. the selection probability is 1 and the sampling weight is 1. On the other hand, a non-certainty stratum is the employment stratum where only sample establishments are taken.
The corresponding sampling rates by employment stratum for establishments in the non-certainty employment size strata are as follows:
1 - 9 (10 %)
10 - 19 (15 %)
20 - 49 (25 %)
50 -99 (50 %)
For TE of less than 20
The sample size for establishments with TE of less than 20 was determined by applying the specific sampling rates for each employment stratum (that is, separately for strata TE 1 - 9 and TE 10 - 19) of the same industry stratum (5-digit PSIC) at the national level.
No allocation was done in these strata as the sample sizes were determined at the 5-diigit PSIC (industry domain) and national level.
Minimum sample size is set to 3 establishments and maximum of 5 establishments per cell (industry domain and employment stratum). However, when the total number of establishments (N) in the cell is equal to or less than the set minimum sample size, all establishments in that cell are taken as samples.
The estimated sample size for establishments for these employment strata is about 10,923.
For TE of 20 and over
The sample size for establishments with TE of 20 and over was obtained by applying the specific sampling rates for the ith employment stratum in the hth industry stratum at the national level and then allocating to geographic domain (region).
Proportional allocation was used in allocating the number of samples in the sampling strata of TE 20 - 49 and TE 50 - 99 of the industry domain at the regional level. Basis of allocation is the total number of establishments (N) in the region by industry domain and by employment stratum. The formula used was,
nhij = (Nhij/Nhi) x nhi
where:
Nhij = total number of establishments in the jth region of the ith employment stratum in the hth industry domain
Nhi = total number of establishments in the ith employment stratum of the hth industry domain
nhij = number of sample establishments in the jth region of the ith employment stratum in the hth industry domain
nhi = Number of sample establishments in the ith employment stratum of the hth industry domain
The sample sizes were likewise controlled to a minimum of 3 establishments and maximum of 5 establishments per cell (industry domain, employment stratum in the region). However, when the total number of establishments (N) in the cell is equal to or less than the set minimum sample size, all establishments in that cell are taken as samples.
The aggregate sample size for TE of 20 and over in all sectors is about 19,691.
Thus, the total number of samples for the 2015 ASPBI is about 30,614.
For all sectors, sample establishments in the sampling strata of TE of less than 20 are selected using systematic sampling by industry domain and employment stratum at the national level. For each industry domain and employment stratum, the establishments are sorted by region, province from largest actual employment to smallest actual employment, business name and ECN.
For each of the sampling strata of TE of 20 and over (i.e. TE 20-49 and TE 50-99) sample establishments are selected using systematic sampling within the region. For each region in the employment stratum and industry domain, the establishments are sorted by province from largest actual employment to smallest actual employment, business name and ECN.
Systematic sampling is chosen so that the sample employment values are spread out, resulting from having representative samples for each TE size in the employment stratum. Likewise, this mode of sampling will somehow provide implicit stratification of TE by employment size group, thus avoiding all sample establishments with low TE values or high TE values.
Sample sizes for each of the strata were determined separately by employment stratum to achieve a minimum precision of 4% margin of error for a 90% confidence interval on employment estimates. Then, the sample size for industry stratum was determined by applying specified sampling rates and allocation rule for each employment stratum. Total sample size was obtained by aggregating separately each estimate at the industry stratum.
For sampling purposes, the survey frame was divided into the five primary strata. Stratum 1 comprises of Mining and Quarrying (B) and Electricity, Gas, Steam and Air Conditioning Supply (D); Stratum 2 consists of certainty industries including the Information and Communication Technology (ICT) core industries and Business Process Management (BPM) industries; and tourism characteristic industries; Stratum 3 for GOCCs; Stratum 4 is composed of establishments with TE 100 and over; and all other establishments not classified in strata 1-4 were grouped as Stratum 5 and were treated as Non-Certainty Stratum. Strata 1-4 were considered as certainty stratum.
The Stratum Code, Sampling Units, Sampling Indicator are as follows:
1 - Establishments under section B and D - Certainty
2 - Establishments under the certainty industries ( SICT Core Industries, BPM industries and Tourism characteristic industries) - Certainty
3 - GOCCs - Certainty
4 - Establishments with TE of 100 and over - Certainty
5 - All other establishments not classified in strata 1-4 - Non-Certainty
A certainty stratum is defined as the employment stratum whose sampling ratio is 100 percent. In this stratum, all establishments are taken as certainty samples, i.e. the selection probability is 1 and the sampling weight is 1. On the other hand, a non-certainty stratum is the employment stratum where only sample establishments are taken.
The corresponding sampling rates by employment stratum for establishments in the non-certainty employment size strata are as follows:
1 - 9 (10 %)
10 - 19 (15 %)
20 - 49 (25 %)
50 -99 (50 %)
For TE of less than 20
The sample size for establishments with TE of less than 20 was determined by applying the specific sampling rates for each employment stratum (that is, separately for strata TE 1 - 9 and TE 10 - 19) of the same industry stratum (5-digit PSIC) at the national level.
No allocation was done in these strata as the sample sizes were determined at the 5-diigit PSIC (industry domain) and national level.
Minimum sample size is set to 3 establishments and maximum of 5 establishments per cell (industry domain and employment stratum). However, when the total number of establishments (N) in the cell is equal to or less than the set minimum sample size, all establishments in that cell are taken as samples.
The estimated sample size for establishments for these employment strata is about 10,923.
For TE of 20 and over
The sample size for establishments with TE of 20 and over was obtained by applying the specific sampling rates for the ith employment stratum in the hth industry stratum at the national level and then allocating to geographic domain (region).
Proportional allocation was used in allocating the number of samples in the sampling strata of TE 20 - 49 and TE 50 - 99 of the industry domain at the regional level. Basis of allocation is the total number of establishments (N) in the region by industry domain and by employment stratum. The formula used was,
nhij = (Nhij/Nhi) x nhi
where:
Nhij = total number of establishments in the jth region of the ith employment stratum in the hth industry domain
Nhi = total number of establishments in the ith employment stratum of the hth industry domain
nhij = number of sample establishments in the jth region of the ith employment stratum in the hth industry domain
nhi = Number of sample establishments in the ith employment stratum of the hth industry domain
The sample sizes were likewise controlled to a minimum of 3 establishments and maximum of 5 establishments per cell (industry domain, employment stratum in the region). However, when the total number of establishments (N) in the cell is equal to or less than the set minimum sample size, all establishments in that cell are taken as samples.
The aggregate sample size for TE of 20 and over in all sectors is about 19,691.
Thus, the total number of samples for the 2015 ASPBI is about 30,614.
For all sectors, sample establishments in the sampling strata of TE of less than 20 are selected using systematic sampling by industry domain and employment stratum at the national level. For each industry domain and employment stratum, the establishments are sorted by region, province from largest actual employment to smallest actual employment, business name and ECN.
For each of the sampling strata of TE of 20 and over (i.e. TE 20-49 and TE 50-99) sample establishments are selected using systematic sampling within the region. For each region in the employment stratum and industry domain, the establishments are sorted by province from largest actual employment to smallest actual employment, business name and ECN.
Systematic sampling is chosen so that the sample employment values are spread out, resulting from having representative samples for each TE size in the employment stratum. Likewise, this mode of sampling will somehow provide implicit stratification of TE by employment size group, thus avoiding all sample establishments with low TE values or high TE values.
Field operations of the 2015 ASPBI was scheduled from April to July 2016.
Distribution was undertaken for a period of one (1) month starting April 13, 2016 to May 20, 2016.
Collection of questionnaires was from May 2, 2016 to July 15, 2016.
The total number of sample establishments for the survey operations was 30,552 of which 28,715 or 94.0 percent responded.
Total response rate include receipts of "good" questionnaires, partially accomplished questionnaires, reports of closed, moved out or out of scope establishments.
Distribution was undertaken for a period of one (1) month starting April 13, 2016 to May 20, 2016.
Collection of questionnaires was from May 2, 2016 to July 15, 2016.
The total number of sample establishments for the survey operations was 30,552 of which 28,715 or 94.0 percent responded.
Total response rate include receipts of "good" questionnaires, partially accomplished questionnaires, reports of closed, moved out or out of scope establishments.
For certainty stratum, the weight is equal to 1.
For non-certainty,
Weight Adjustment Factor for Non-Response
To account for non-response in the non-certainty strata, the adjustment factor (n/n') was multiplied with the sampling weight (W) of each of the sampling unit. The sampling weight, defined as N/n, was recomputed as
W' = N/n*n/n' = N/n'
Thus, the adjusted weight (W'sj) for employment stratum in TE of 1-9 or TE of 10-19 was
W'sj = Ns/ns * ns/n's = Ns/n's
where:
Ns = total number of establishments in the employment stratum in TE 1-9 or TE 10-19 in the sth industry domain
n's = number of responding establishments in the employment stratum in TE 1-9 or TE 10-19 in the sth industry domain
For the non-certainty employment stratum for the industry domain with TE 20-99, the adjusted weight (W'spj) was
W'spj = Nsp/nsp * nsp/n'sp = Ns/n'sp
where:
Nsp = total number of establishments in the non-certainty employment stratum with TE 20-99 for the industry domain within each geographic domain (region)
n'sp = number of responding establishments in the non-certainty employment stratum with TE 20-99 for the industry domain within each geographic domain (region)
For non-certainty,
Weight Adjustment Factor for Non-Response
To account for non-response in the non-certainty strata, the adjustment factor (n/n') was multiplied with the sampling weight (W) of each of the sampling unit. The sampling weight, defined as N/n, was recomputed as
W' = N/n*n/n' = N/n'
Thus, the adjusted weight (W'sj) for employment stratum in TE of 1-9 or TE of 10-19 was
W'sj = Ns/ns * ns/n's = Ns/n's
where:
Ns = total number of establishments in the employment stratum in TE 1-9 or TE 10-19 in the sth industry domain
n's = number of responding establishments in the employment stratum in TE 1-9 or TE 10-19 in the sth industry domain
For the non-certainty employment stratum for the industry domain with TE 20-99, the adjusted weight (W'spj) was
W'spj = Nsp/nsp * nsp/n'sp = Ns/n'sp
where:
Nsp = total number of establishments in the non-certainty employment stratum with TE 20-99 for the industry domain within each geographic domain (region)
n'sp = number of responding establishments in the non-certainty employment stratum with TE 20-99 for the industry domain within each geographic domain (region)
Data Collection
Start | End | Cycle |
---|---|---|
2016-05-02 | 2016-07-15 |
Start | End | Cycle |
---|---|---|
2015-01-01 | 2015-12-31 | All data items except total employment |
2015-11-15 | Total employment |
Distribute and collect the pre addressed questionnaire (Self Administered Questionnaire). Sample establishments are also encouraged to accomplish and submit the questionnaires online. The establishment can also access the PSA Website <https:// aspbi.psa.gpv.ph > through the unique ECN found in the address stub of the questionnaire.
To ensure quality of data during operations, close supervision of enumeration was undertaken by RDs/PSOs/OICs/Regional and Provincial Statisticians. Central office statisticians also conducted supervision in some areas with large number of establishments.
There are seven types of 2015 ASPBI questionnaires which will capture data for establishments of the 18 sectors of economy. Each type of questionnaire is used by a specific sector or sectors. Each has a uniques color to differentiate each type of forms. The clearance number is also indicated in the questionnaires.
ASPBI Form 1 - used by Agriculture, Forestry and Fishing (A), spot color is green with clearance number PSA-1605-01.
ASPBI Form 2 - used by Mining and Quarrying (B); Manufacturing (C), spot color is yellow with clearance number PSA-1605-02.
ASPBI Form 3 - used by Electricity, Gas, Steam and Air-conditioning Supply (D); and Water Supply; Sewerage, Waste Management and Remediation Activities (E), spot color is turquoise with clearance number PSA-1605-03.
ASPBI Form 4 - used by Construction (F), spot color is orange with clearance number PSA-1605-04.
ASPBI Form 5 - used by Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles (G), spot color red with clearance number PSA-1605-05.
ASPBI Form 6 - used by Financial and Insurance Activities (K), spot color is silver with clearance number PSA-1605-06.
ASPBI Form 7 - used by Business and Services (H, I, J, L, M, N, P, Q, R, S), spot color is blue with clearance number PSA-1605-07.
ASPBI Form 1 - used by Agriculture, Forestry and Fishing (A), spot color is green with clearance number PSA-1605-01.
ASPBI Form 2 - used by Mining and Quarrying (B); Manufacturing (C), spot color is yellow with clearance number PSA-1605-02.
ASPBI Form 3 - used by Electricity, Gas, Steam and Air-conditioning Supply (D); and Water Supply; Sewerage, Waste Management and Remediation Activities (E), spot color is turquoise with clearance number PSA-1605-03.
ASPBI Form 4 - used by Construction (F), spot color is orange with clearance number PSA-1605-04.
ASPBI Form 5 - used by Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles (G), spot color red with clearance number PSA-1605-05.
ASPBI Form 6 - used by Financial and Insurance Activities (K), spot color is silver with clearance number PSA-1605-06.
ASPBI Form 7 - used by Business and Services (H, I, J, L, M, N, P, Q, R, S), spot color is blue with clearance number PSA-1605-07.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Manual processing took place in Provincial Offices at a number of stages throughout the processing, including:
* coding of some data items
* editing of questionnaires
* completeness of entries
* consistency check among variables
Data processing was done in Field Offices and Central Office.
Field Offices
* online data encoding and updating
* completeness and consistency edits
* folioing of questionnaires
Central Office
* online validation
* completeness and consistency checks
* summarization
* tabulation
* coding of some data items
* editing of questionnaires
* completeness of entries
* consistency check among variables
Data processing was done in Field Offices and Central Office.
Field Offices
* online data encoding and updating
* completeness and consistency edits
* folioing of questionnaires
Central Office
* online validation
* completeness and consistency checks
* summarization
* tabulation
Data Appraisal
Data estimates would be checked with those from other related surveys or administrative data.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
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 PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
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 be reported to the PSA.
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 PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
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 be reported to the PSA.
Philippine Statistics Authority, Annual Survey of Philippine Business and Industries 2015 (ASPBI 2015), Version 1.1 of the public use dataset (2015), provided by the PSA Data Archive. www.psa.gov.ph/psada
Disclaimer and copyrights
The data users/researchers acknowledge that the PSA bears no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
contacts
Name | Affiliation | URI | |
---|---|---|---|
Chief, Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | |
Chief, Industry Statistics Division | Philippine Statistics Authority | mfg.staff@psa.gov.ph |