Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009
Philippines, 2009
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Reference ID
PHL_2009_QCFS_v01_EN_M_v01_A_OCS
Producer(s)
Bureau of Agricultural Statistics (BAS)
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Metadata
Created on
May 21, 2020
Last modified
Jan 31, 2023
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Identification
Survey ID Number
PHL_2009_QCFS_v01_EN_M_v01_A_OCS
Title
Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
The quarterly volume and value of commercial fisheries production by species by province are the data generated by the survey. The Fisheries Statistics Division of the Bureau of Agricultural Statistics (BAS) maintains quarterly data series since 2002. Prior to 2002, only annual commercial fisheries data were available by province by region and by species. These data were published in the yearly publication entitled Fisheries Statistics of the Philippines.
The then Philippine Fisheries Commission published annually the statistical yearbook entitled Fisheries Statistics of the Philippines. This yearbook consisted mainly of data on volume of unloading of commercial fishing vessels derived from Fish Caught Reports submitted monthly by commercial fishing vessel operators. Summarization and tabulation of these reports were handled by the Economics and Statistics Section of the Commission. No statistical survey was undertaken for this purpose.
However, there was the impression that commercial fishing boat operators might be under-reporting their catch because of tax-related concerns. To correct this probable underestimation of catch, a raising factor was applied to the reported volume of catch. From 1951 to 1962, a raising factor of three (3) was used and was raised to four (4) until 1968. Seemingly, this method had no scientific basis and it was found out to have many defects. Data users, both local and international, raised questions about official statistics on fisheries, particularly, catch and landings in terms of reliability and meeting the needs of planners. This situation led to the visit of Food and Agriculture Organization (FAO) Statisticians who recommended improvements in the fisheries statistical system in the Philippines.
Several innovations were introduced by the FAO Statisticians. Aside from the fish caught reports, actual survey was conducted in major landing centers in the country in 1976. The estimated monthly unloading in a sample landing center was divided by the total catch reported in the fish caught reports submitted by fishing boat operators for the same month. The result was the correcting factor to be used for minor or non-surveyed landing centers in the province.
A survey design for commercial and municipal fisheries was developed and implemented in 1976 as pilot year. Improvements in surveys included additional data items in the survey forms such as number of boats unloading, volume of fish landed by species, by fishing gear, by fishing ground, number of hauls made during the fishing trip, number of trips made during the month, number of fishing hours. This was done until the mid-80s.
When the mandate of collecting fisheries statistics was transferred from BFAR to BAS in 1987, actual field data collection was temporarily suspended for administrative reasons. Alternative methods of estimation were used to produce fisheries statistics in the absence of surveys. Estimates of fish production was done at national level with some indicators coming from operations centers. Regional and provincial outputs were distributed with 1985 as the baseline data.
Improvements in the survey design were implemented through the years, until the quarterly survey of landing centers was adopted in 2002. Due to budgetary constraints, this quarterly survey of traditional fish landing centers was deemed to be the most appropriate design to get the desired information on volume and value of fish production. Since then, the BAS generated statistics on fish production by quarter, by province and by region.
The then Philippine Fisheries Commission published annually the statistical yearbook entitled Fisheries Statistics of the Philippines. This yearbook consisted mainly of data on volume of unloading of commercial fishing vessels derived from Fish Caught Reports submitted monthly by commercial fishing vessel operators. Summarization and tabulation of these reports were handled by the Economics and Statistics Section of the Commission. No statistical survey was undertaken for this purpose.
However, there was the impression that commercial fishing boat operators might be under-reporting their catch because of tax-related concerns. To correct this probable underestimation of catch, a raising factor was applied to the reported volume of catch. From 1951 to 1962, a raising factor of three (3) was used and was raised to four (4) until 1968. Seemingly, this method had no scientific basis and it was found out to have many defects. Data users, both local and international, raised questions about official statistics on fisheries, particularly, catch and landings in terms of reliability and meeting the needs of planners. This situation led to the visit of Food and Agriculture Organization (FAO) Statisticians who recommended improvements in the fisheries statistical system in the Philippines.
Several innovations were introduced by the FAO Statisticians. Aside from the fish caught reports, actual survey was conducted in major landing centers in the country in 1976. The estimated monthly unloading in a sample landing center was divided by the total catch reported in the fish caught reports submitted by fishing boat operators for the same month. The result was the correcting factor to be used for minor or non-surveyed landing centers in the province.
A survey design for commercial and municipal fisheries was developed and implemented in 1976 as pilot year. Improvements in surveys included additional data items in the survey forms such as number of boats unloading, volume of fish landed by species, by fishing gear, by fishing ground, number of hauls made during the fishing trip, number of trips made during the month, number of fishing hours. This was done until the mid-80s.
When the mandate of collecting fisheries statistics was transferred from BFAR to BAS in 1987, actual field data collection was temporarily suspended for administrative reasons. Alternative methods of estimation were used to produce fisheries statistics in the absence of surveys. Estimates of fish production was done at national level with some indicators coming from operations centers. Regional and provincial outputs were distributed with 1985 as the baseline data.
Improvements in the survey design were implemented through the years, until the quarterly survey of landing centers was adopted in 2002. Due to budgetary constraints, this quarterly survey of traditional fish landing centers was deemed to be the most appropriate design to get the desired information on volume and value of fish production. Since then, the BAS generated statistics on fish production by quarter, by province and by region.
Abstract
Commercial fisheries is one of the three (3) sectors of fisheries, the others being Municipal fisheries and Aquaculture. Data on commercial fisheries are collected in fish landing centers where fishermen unload and trade their catch. There are three (3) types of commercial fish landing centers, namely: the traditional, those managed by Philippine Fish Development Authority (PFDA) and Local Government Units (LGUs) and privately-owned landing centers.
The two types of survey conducted in traditional commercial fish landing centers are the monthly or probability survey, and the quarterly or non-probability survey. For monthly surveys, Contractual Data Collectors (CDCs) are hired to do the actual interview of fishermen unloading at the sample fish landing centers. In the absence of adequate funds intended for the payment of wages for CDCs, quarterly surveys are conducted by the regular staff in the Provincial Operations Centers (POCs).
The Quarterly Commercial Fisheries Survey (Traditional Landing Centers) is a survey on volume and price of fish unloaded at sample commercial fish landing centers by fishing boats with gross tonnage of more than three (3) tons. The general objective of the survey is to generate information on the quarterly volume and value of fish unloadings by species at the provincial, regional and national levels. Data are collected through personal interview of at least three (3) key informants knowledgeable on the fishing activites at the sample fish landing center. Key informants may be a fisherman, fishing boat operator, fish trader, fish broker, or barangay official.
Data on monthly volume and price of fish unloaded at the landing centers are gathered on the last week of the last month of the reference quarter.
The two types of survey conducted in traditional commercial fish landing centers are the monthly or probability survey, and the quarterly or non-probability survey. For monthly surveys, Contractual Data Collectors (CDCs) are hired to do the actual interview of fishermen unloading at the sample fish landing centers. In the absence of adequate funds intended for the payment of wages for CDCs, quarterly surveys are conducted by the regular staff in the Provincial Operations Centers (POCs).
The Quarterly Commercial Fisheries Survey (Traditional Landing Centers) is a survey on volume and price of fish unloaded at sample commercial fish landing centers by fishing boats with gross tonnage of more than three (3) tons. The general objective of the survey is to generate information on the quarterly volume and value of fish unloadings by species at the provincial, regional and national levels. Data are collected through personal interview of at least three (3) key informants knowledgeable on the fishing activites at the sample fish landing center. Key informants may be a fisherman, fishing boat operator, fish trader, fish broker, or barangay official.
Data on monthly volume and price of fish unloaded at the landing centers are gathered on the last week of the last month of the reference quarter.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Entreprises
Scope
Notes
The scope of the Quarterly Commercial Fisheries Survey in traditional fish landing centers include:
1. Quarter and Year (Reference quarter for the current year)
2. General information (Region and province)
3. Landing Center (Complete name and stratum or classification of the sample fish landing center)
4. Respondent information
5. Unloaded species (Monthly volume of fish unloaded by species during the reference quarter)
6. Price (Monthly price per kilogram of species unloaded in the landing center during the reference quarter)
7. Reasons for change in volume of unloading species
1. Quarter and Year (Reference quarter for the current year)
2. General information (Region and province)
3. Landing Center (Complete name and stratum or classification of the sample fish landing center)
4. Respondent information
5. Unloaded species (Monthly volume of fish unloaded by species during the reference quarter)
6. Price (Monthly price per kilogram of species unloaded in the landing center during the reference quarter)
7. Reasons for change in volume of unloading species
Topics
| Topic |
|---|
| Fisheries |
Coverage
Geographic Coverage
National Coverage
Universe
All traditional commercial fish landing centers
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics (BAS) | Department of Agriculture (DA) |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Fisheries and Aquatic Resources | BFAR | Donor |
Sampling
Sampling Procedure
The sampling frame used for Quarterly Commercial Fisheries Survey of traditional landing centers is the list of landing centers by province.
The quarterly survey in traditional landing centers uses stratified random sampling with the province as the domain. The volume of unloadings is the variable used in the stratification of the fish landing centers into three (3) groups, namely;
1. Stratum 1 - the top producing fish landing centers
2. Stratum 2 - the major producing fish landing centers
3. Stratum 3 - all other fish landing centers
The total number of traditional commercial fish landing centers in 2009 was 381. Simple random sampling is used in drawing the sample landing centers from the stratum.
Allocation of number of sample fish landing centers is based on the distribution of volume of unloadings in the province. Number of samples by stratum was as follows:
1. Stratum 1 - 100 out of 117
2. Stratum 2 - 73 out of 160
3. Stratum 3 - 27 out of 104
Replacement of sample landing center is allowed for landing centers with unstable peace and order situation and for hard or difficult to reach areas.
The quarterly survey in traditional landing centers uses stratified random sampling with the province as the domain. The volume of unloadings is the variable used in the stratification of the fish landing centers into three (3) groups, namely;
1. Stratum 1 - the top producing fish landing centers
2. Stratum 2 - the major producing fish landing centers
3. Stratum 3 - all other fish landing centers
The total number of traditional commercial fish landing centers in 2009 was 381. Simple random sampling is used in drawing the sample landing centers from the stratum.
Allocation of number of sample fish landing centers is based on the distribution of volume of unloadings in the province. Number of samples by stratum was as follows:
1. Stratum 1 - 100 out of 117
2. Stratum 2 - 73 out of 160
3. Stratum 3 - 27 out of 104
Replacement of sample landing center is allowed for landing centers with unstable peace and order situation and for hard or difficult to reach areas.
Response Rate
Response rate for quarterly commercial fisheries survey is 100%.
Weighting
A factor derived from the total number of sample fish landing centers over the number of sample fish landing centers by stratum is used to estimate the total volume of fish landed by commercial fishing boats in the province. This factor varies from one province to another.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2009-03-20 | 2009-03-31 | First Quarter |
| 2009-06-20 | 2009-06-30 | Second Quarter |
| 2009-09-20 | 2009-09-30 | Third Quarter |
| 2009-12-15 | 2009-12-20 | Fourth Quarter |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
Manual editing of questionnaires at the provincial level was needed before the electronic data processing of survey returns. Steps in data editing include the following:
a) Completeness of data items in the questionnaires
b) Correctness of unit of measurement used
c) Coding and encoding
d) Expansion factors used
Before the results are summarized, another series of consistency and completeness check was made during electronic data processing.
To facilitate the output generation of the quarterly survey results, the Commercial Fisheries Data Generation System (Datagen) has been developed. These are MS Excel 2003 worksheets linked together to achieve the purpose of fast generation of ouput tables. Entries from the collection forms are encoded in landing center worksheets of ComDataGen of the Provincial Data Generation Worksheets. These are compiled and summarized at the Regional Data Generation Worksheets.
a) Completeness of data items in the questionnaires
b) Correctness of unit of measurement used
c) Coding and encoding
d) Expansion factors used
Before the results are summarized, another series of consistency and completeness check was made during electronic data processing.
To facilitate the output generation of the quarterly survey results, the Commercial Fisheries Data Generation System (Datagen) has been developed. These are MS Excel 2003 worksheets linked together to achieve the purpose of fast generation of ouput tables. Entries from the collection forms are encoded in landing center worksheets of ComDataGen of the Provincial Data Generation Worksheets. These are compiled and summarized at the Regional Data Generation Worksheets.
Data Appraisal
Data Appraisal
The quarterly survey of commercial fish catch was done through interviews of key informants and results of this process were subjected to validation. Additional information were gathered from interviews of people from government and non-government agencies and offices and other stakeholders in fisheries. Use of auxilliary information was also one way of validating data generated by the survey. Examples of these were the programs for the improvement of catch of fishermen by the Bureau of Fisheries and Aquatic Resources, record of weather disturbances and provinces affected, existing fishery laws, report or study on status of fishing grounds, etc. Comparing current estimates with the time series data was also one way of appraising survey results. Change in production is assessed if it reflects the real commercial fisheries situation in the province.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | [email protected] | Link |
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 will 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 will 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 Commercial Fisheries Survey (Traditional Landing Centers) 2009, Version 1 of the licensed dataset May 2010, provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009, Version 1 of the licensed dataset May 2010, 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.
Metadata production
DDI Document ID
DDI_PHL_2009_QCFS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| de Ocampo, Estela C. | ECO | Bureau of Agricultural Statistics | Documentation of the stiudy |
| Adriano, Reinelda P. | RPA | Bureau of Agricultural Statistics | Documentation of the stiudy |
| Evangelista, Maria Clarinda M. | MCME | Bureau of Agricultural Statistics | Documentation of the stiudy |
DDI Document version
PHL_2009_QCFS_v01_EN_M_v01_A_OCS_v01