Identification
Survey ID Number
PHL_2009_AqPS_v01_M
Title
Aquaculture Production Survey 2009
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
Fishpond was the only known type of aquafarm during the 50s and the 60s. Estimates were combined production from brackishwater and freshwater fishponds but mostly from the former. Data on area were taken from Fishpond Lease Agreement (FLA) issued by the BFAR for government-leased fishponds, while data on area for privately-owned fishponds were obtained from survey made some years ago. Annual production was estimated by multiplying the area of fishponds by the average productivity of fishponds by province.
Estimates of the average productivity of fishponds per hectare per year by province were derived by the Fisheries Commission without the conduct of a survey. There was no available data on area for brackishwater and freshwater fishponds separately. To determine the average productivity of fishponds by province and to replace the unreliable factors used in the estimation, 200 sample operators were interviewed.
In 1991, listing of all brackishwater fishpond operators was done nationwide under the Fishery Sector Program (FSP). Meanwhile, listing of all other types of aquafarms was accomplished in 1992. Semestral surveys of aquafarms in 56 provinces started in 1992. When the project ended in 1995, production indicators were taken from surveys of aquafarms from 14 to 27 major producing provinces. From early 2000 to present, aquaculture production growth was estimated based on quarterly surveys of top five (5) operators in top five (5) municipalities in a province for each type of aquafarm.
Aquaculture production levels are benchmarked on data collected through the Aquaculture Production Survey (AqPS). Prior to this survey round, the last conduct of AqPS was the 4th quarter 2008 round.
A slight modification in the sampling design was employed. For this survey round, sample aquafarms were selected only from the municipalities with at least 80% cumulative share to provincial area. This was done to simplify field operations and ensure that sample aquafarms from these municipalities were more or less productive.
Estimates of the average productivity of fishponds per hectare per year by province were derived by the Fisheries Commission without the conduct of a survey. There was no available data on area for brackishwater and freshwater fishponds separately. To determine the average productivity of fishponds by province and to replace the unreliable factors used in the estimation, 200 sample operators were interviewed.
In 1991, listing of all brackishwater fishpond operators was done nationwide under the Fishery Sector Program (FSP). Meanwhile, listing of all other types of aquafarms was accomplished in 1992. Semestral surveys of aquafarms in 56 provinces started in 1992. When the project ended in 1995, production indicators were taken from surveys of aquafarms from 14 to 27 major producing provinces. From early 2000 to present, aquaculture production growth was estimated based on quarterly surveys of top five (5) operators in top five (5) municipalities in a province for each type of aquafarm.
Aquaculture production levels are benchmarked on data collected through the Aquaculture Production Survey (AqPS). Prior to this survey round, the last conduct of AqPS was the 4th quarter 2008 round.
A slight modification in the sampling design was employed. For this survey round, sample aquafarms were selected only from the municipalities with at least 80% cumulative share to provincial area. This was done to simplify field operations and ensure that sample aquafarms from these municipalities were more or less productive.
Abstract
RATIONALE
In carrying out its responsibility of generating statistics on volume and value of aquaculture production, the Fisheries Statistics Division (FSD) of the Bureau of Agricultural Statistics (BAS) conducts probability and non-probability surveys. The Quarterly Aquaculture Surveys (QAqS) is the non-probability survey conducted on a regular basis. The survey design involves computing for the average percent change from the same quarter last year reported by the sample respondents and then applying the same to the provincial level same quarter last year estimate in order to derive the estimate for the current quarter. The samples are taken from 5 X 5 sampling design, i.e., five (5) sample operators from top five (5) producing municipalities. On the other hand, Aquaculture Production Survey (AqPS) generates the production estimates based on one-stage stratified sampling design. Unfortunately, this probability survey is not financially sustainable on a quarterly basis. It should be noted that estimates from the probability survey are intended as baseline data for computing the percent changes derived from non-probability survey. Although quarterly estimates are subjected to a series of data review and analysis before final estimates are released, it is imperative to determine the levels of production estimates through a periodic probability survey.
OBJECTIVES
Primarily, the Aquaculture Production Survey (AqPS) aims to generate statistics on volume and value of aquaculture production by province.
Specifically, it aims to gather information on:
a. Volume and value of production by species cultured, by aquafarm type and by environment,
b. area harvested; and
c. management and culture system of the aquafarm.
In carrying out its responsibility of generating statistics on volume and value of aquaculture production, the Fisheries Statistics Division (FSD) of the Bureau of Agricultural Statistics (BAS) conducts probability and non-probability surveys. The Quarterly Aquaculture Surveys (QAqS) is the non-probability survey conducted on a regular basis. The survey design involves computing for the average percent change from the same quarter last year reported by the sample respondents and then applying the same to the provincial level same quarter last year estimate in order to derive the estimate for the current quarter. The samples are taken from 5 X 5 sampling design, i.e., five (5) sample operators from top five (5) producing municipalities. On the other hand, Aquaculture Production Survey (AqPS) generates the production estimates based on one-stage stratified sampling design. Unfortunately, this probability survey is not financially sustainable on a quarterly basis. It should be noted that estimates from the probability survey are intended as baseline data for computing the percent changes derived from non-probability survey. Although quarterly estimates are subjected to a series of data review and analysis before final estimates are released, it is imperative to determine the levels of production estimates through a periodic probability survey.
OBJECTIVES
Primarily, the Aquaculture Production Survey (AqPS) aims to generate statistics on volume and value of aquaculture production by province.
Specifically, it aims to gather information on:
a. Volume and value of production by species cultured, by aquafarm type and by environment,
b. area harvested; and
c. management and culture system of the aquafarm.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Aquafarm is the unit of analysis.
Version
Version Description
v1.0: edited at BAS Central Office, not anonymized
Version Date
2010-03-24
Scope
Notes
The survey form gathers information on the following:
AQUAFARM INFORMATION: Aquafarm area, aquafarm type, environment, management system and culture system
PRODUCTION INFORMATION: Species, quantity stocked, area harvested, production and price.
AQUAFARM INFORMATION: Aquafarm area, aquafarm type, environment, management system and culture system
PRODUCTION INFORMATION: Species, quantity stocked, area harvested, production and price.
Topics
| Topic | Vocabulary |
|---|---|
| Food (production, crisis) | World Bank |
Coverage
Geographic Coverage
National
Geographic Unit
The domain of the study is province.
Universe
All aquafarm types.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics (BAS) | Department of Agriculture |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Fisheries and Aquatic Resources | BFAR | Provides funds for the conduct of fisheries surveys |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| National Statistical Coordination Board (NSCB) | Provides survey clearance |
Sampling
Sampling Procedure
The AqPS adopts one-stage stratified sampling design. By aquafarm type, all operators from municipalities with at least 80% cumulative share to total provincial aquafarm area are stratified into three (3) strata using area as the stratification variable. The boundary between strata is determined by the distribution of data. If the number of aquafarms in a stratum is less than or equal to fifteen (15), all aquafarms shall be taken as sample. Sample aquafarms shall be selected through systematic random sampling procedure.
In 2009, AqPS was conducted in 40 provinces contributing to at least 90% of the total production of each aquafarm type.
In 2009, AqPS was conducted in 40 provinces contributing to at least 90% of the total production of each aquafarm type.
Response Rate
Response rate is not available.
Weighting
Aquafarm weights were computed as the quotient of total number of aquafarms and number of sample aquafarms in the stratum.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-11-30 | 2009-12-11 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2009-07-31 | 2009-09-30 | 3rd Quarter |
| 2009-10-01 | 2009-12-31 | 4th Quarter |
Data Collection Mode
Face-to-face [f2f]
Supervision
The Provincial Agricultural Statistics Officer (PASO) provides the over-all supervision of data collection. He trains data collectors, assigns area of coverage and schedules the data collection. To ensure the smooth implementation of data collection, the PASO conducts spot checking and back checking activities. The Regional Agricultural Statistics Officer (RASO) may also provide another level of supervision. And sometimes, Central Office personnel may be available to provide support and control of the said activities.
Data Collection Notes
The Contractual Data Collectors (CDCs) were hired to conduct the interview of the owner/operator and/or caretaker of the sample aquafarms using the survey forms. Prior to data collection the CDCs were trained and supervised by the Provincial Agricultural Statistics Officer (PASO). They were given assigned municipalities to cover. BAS field staff were assigned to supervise the CDCs.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Questionnaires
Questionnaires
There were two (2) AqPS survey forms that were used depending on the type of aquafarm.
AqPS Form 1 - for all aquafarm type except Oyster, Mussel and Seaweed
AqPS Form 2 - for Oyster, Mussel and Seaweed.
The datasets for both forms were the same except for the following:
In Block II, management system was not applicable for Form 2. There were different culture systems.
In Block III, quantity stocked was not applicable for Form 2. Seaweed production information was by variety.
AqPS Form 1 - for all aquafarm type except Oyster, Mussel and Seaweed
AqPS Form 2 - for Oyster, Mussel and Seaweed.
The datasets for both forms were the same except for the following:
In Block II, management system was not applicable for Form 2. There were different culture systems.
In Block III, quantity stocked was not applicable for Form 2. Seaweed production information was by variety.
Data Processing
Data Editing
Initially, the survey returns are manually edited to ensure completeness and accuracy. During this stage, survey returns are checked for completeness from the list of samples. For each of the survey forms, entries should be complete and numeric entries are in proper unit of measurement and decimal places.
After encoding, the entries are then again inspected and reviewed for completeness, accuracy and consistency with other items.
After encoding, the entries are then again inspected and reviewed for completeness, accuracy and consistency with other items.
Other Processing
The AqPS Data Processing Worksheet was developed using MS Excel 2003 to process the AqPS survey returns. The results were then encoded via the Aquaculture Data Generation System (AquaDataGen). The AquaDataGen was developed for the data processing requirements of Quarterly Aquacutlure Survey (QAqS). This system is decentralized in the provinces but regional and national summary can also be derived. The AquaDataGen has the facility for data entry, data review and validation.
Data Appraisal
Estimates of Sampling Error
Not available.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Romeo S. Recide | BAS | rsrecide@bas.gov.ph | www.bas.gov.ph |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Chief, Fisheries Statistics Division | Bureau of Agricultural Statistics | vaviloria@bas.gov.ph | www.bas.gov.ph |
Confidentiality
The Bureau of Agricultural Statistics (BAS) strictly observes the confidentiality of data. As stated in the BAS' survey questionnaires and the forms relevant to the conduct of any statistical inquiry, data provided by the respondents shall be used solely for statistical purposes.
Access conditions
The datasets of this study are categorized under licensed files. Access to licensed datasets is through request and is only granted to Data Users/Researchers with a legally registered sponsoring agency (university, company, research centre, national or international organization, etc.).
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use wil be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use wil be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
Citation requirements
As specified in the agreement under access conditions, users are required to cite the source of data in accordance with the citation requirement provided with the dataset. The citation requirement for this study is as follows:
"Bureau of Agricultural Statistics, Quarterly Aquaculture Survey, Version 1 of the licensed dataset (August 31, 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Quarterly Aquaculture Survey, Version 1 of the licensed dataset (August 31, 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the BAS and the agency funding the study bear 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.
Copyright
Copyright 2010 © Bureau of Agricultural Statistics, All rights reserved.
Metadata production
DDI Document ID
DDI_PHL_2009_AqPS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reinelda P. Adriano | RPA | Bureau of Agricultural Statistics | Documentation of the study |
| Accelerated Data Program | ADP | International Household Survey Network | Editing for the IHSN Survey Catalog |
Date of Metadata Production
2010-03-24
DDI Document version
Version 01: Adopted from "DDI_PHL_2009_AQPS_v02_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.