Crops Production Survey 2008
Philippines, 2008
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
PHL_2008_CrPS_v01_M
Title
Crops Production Survey 2008
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
In the 1970s and 1980s, data collection for other crops was done simultaneously with the regular Rice and Corn Survey (RCS). The sample respondents of the RCS were also asked on basic production information on other crops grown. The estimation followed that of rice and corn.
From 1980 to 1985, the then Bureau of Agricultural Economics (BAEcon) field staff and Agricultural Technicians (ATs) detailed with the BAEcon under the Regional Agricultural Data Delivery System - Ministry of Agriculture Integrated Management Information System (RADDS-MAIMIS) project were responsible for data collection. At that time, estimation of area and production was based on indicators such as average size of farms and number of growers. Reporting forms were not standardized. Provincial estimates for area and production for all crops were submitted on semi-annual basis for consolidation at BAEcon Central Office. Data were disaggregated at the regional level.
'In 1987 under Executive Order No. 116 when BAS assumed the mandate as principal agency responsible for Agricultural Statistics, replacing BAEcon, some improvements have been introduced on data collection. A separate data collection system for other crops was established. A three-stage sampling design was employed with the top 5 producing municipalities as the primary sampling units (psu), the top 5 producing barangays as the secondary sampling units (ssu) and 5 farmer- producers as the ultimate sampling units (usu). The results were supplemented and validated with data from other agencies. In this system, the provincial offices submitted estimates of the percent changes in area, production and total number of trees. Production estimates of about 20 major crops and 9 additional priority crops were computed quarterly. Production of the rest of the crops including area and bearing trees was estimated on a semi-annual basis.'
In 1989, only the provinces with a combined contribution of 80 percent to the total production of the major crops during the last three years were required to submit the Quarterly Report on Production (QRP). This system of reporting was implemented until 1999 when all provinces were required to submit the QRP. This requirement was an improvement since even the minor provinces could make significant differences in the estimates. Data management at the Central was also improved.
Starting in 2000, the quarterly report on production is based on the results of the Crops Production Survey (CrPS), a sample survey of farmer-producers, The CrPS is conducted quarterly to generate production estimates for crops other than the cereals. It generates estimates with national, regional and provincial levels disaggregation.
Data on crops with specialized government agencies such as sugar, fiber, cotton, coconut and tobacco were supplemented and validated with data from these agencies.
A total of 228 crops covered by the CrPS, the individual estimates of the 19 highlighted items in the Quarterly Report on the Production in Agriculture are released at the national level while the rest are lumped as Other Crops. Provincial level estimates are available on an annual basis.
The survey aims to support the data needs of planners, policy and decision makers and stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.
From 1980 to 1985, the then Bureau of Agricultural Economics (BAEcon) field staff and Agricultural Technicians (ATs) detailed with the BAEcon under the Regional Agricultural Data Delivery System - Ministry of Agriculture Integrated Management Information System (RADDS-MAIMIS) project were responsible for data collection. At that time, estimation of area and production was based on indicators such as average size of farms and number of growers. Reporting forms were not standardized. Provincial estimates for area and production for all crops were submitted on semi-annual basis for consolidation at BAEcon Central Office. Data were disaggregated at the regional level.
'In 1987 under Executive Order No. 116 when BAS assumed the mandate as principal agency responsible for Agricultural Statistics, replacing BAEcon, some improvements have been introduced on data collection. A separate data collection system for other crops was established. A three-stage sampling design was employed with the top 5 producing municipalities as the primary sampling units (psu), the top 5 producing barangays as the secondary sampling units (ssu) and 5 farmer- producers as the ultimate sampling units (usu). The results were supplemented and validated with data from other agencies. In this system, the provincial offices submitted estimates of the percent changes in area, production and total number of trees. Production estimates of about 20 major crops and 9 additional priority crops were computed quarterly. Production of the rest of the crops including area and bearing trees was estimated on a semi-annual basis.'
In 1989, only the provinces with a combined contribution of 80 percent to the total production of the major crops during the last three years were required to submit the Quarterly Report on Production (QRP). This system of reporting was implemented until 1999 when all provinces were required to submit the QRP. This requirement was an improvement since even the minor provinces could make significant differences in the estimates. Data management at the Central was also improved.
Starting in 2000, the quarterly report on production is based on the results of the Crops Production Survey (CrPS), a sample survey of farmer-producers, The CrPS is conducted quarterly to generate production estimates for crops other than the cereals. It generates estimates with national, regional and provincial levels disaggregation.
Data on crops with specialized government agencies such as sugar, fiber, cotton, coconut and tobacco were supplemented and validated with data from these agencies.
A total of 228 crops covered by the CrPS, the individual estimates of the 19 highlighted items in the Quarterly Report on the Production in Agriculture are released at the national level while the rest are lumped as Other Crops. Provincial level estimates are available on an annual basis.
The survey aims to support the data needs of planners, policy and decision makers and stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.
Abstract
The CrPS is conducted quarterly to generate production estimates for crops other than cereals at the national, regional and provincial levels.
Of the 230 crops covered, the individual estimates of the 19 crops highlighted in the Quarterly Report on the Production in Agriculture are released at the national level while the rest were lumped as Other Crops. Provincial level estimates are available on an annual basis.
The survey aims to support the data needs of planners, policy and decision makers and other stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.
The survey adopts two-stage sampling with the municipality as the primary sampling unit and the households as the secondary sampling unit.
Of the 230 crops covered, the individual estimates of the 19 crops highlighted in the Quarterly Report on the Production in Agriculture are released at the national level while the rest were lumped as Other Crops. Provincial level estimates are available on an annual basis.
The survey aims to support the data needs of planners, policy and decision makers and other stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.
The survey adopts two-stage sampling with the municipality as the primary sampling unit and the households as the secondary sampling unit.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
An agricultural production-related survey with a household-level questionnaire which would have provincial unit of analysis.
Version
Version Description
Version 2.0 edited at Operations Centers, not anonymized
Version Date
2009-08-31
Version Notes
version 2.0 edited at Operations Centers not anonymized
v2.1 Edited at C.O. for preliminary report. This is the initial provincial report for the current quarter where the last month of the quarter is a forecast.
v2.2 Edited at C.O. for final report. This is the provincial report for the completed previous quarter.
v2.1 Edited at C.O. for preliminary report. This is the initial provincial report for the current quarter where the last month of the quarter is a forecast.
v2.2 Edited at C.O. for final report. This is the provincial report for the completed previous quarter.
Scope
Notes
The scope of the study includes: for temporary crops other than palay and corn, volume of production and area harvested; for permanent crops, volume of production, area planted and number of bearing trees.
Topics
| Topic | Vocabulary |
|---|---|
| Food (production, crisis) | World Bank |
Keywords
| Keyword |
|---|
| small farms |
| perennial crops |
| temporary crops |
| multi-harvest crops |
| mono-harvest crops |
| bearing trees/hectare |
| bearing hills/hectare |
| kilograms/bearing tree |
| kilograms/hectare |
Coverage
Geographic Coverage
Provinces covered for Crops Production Survey are the following:
CAR:
Abra
Apayao
Benguet
Ifugao
Kalinga
Mt. Province
ILOCOS REGION:
Ilocos Norte
Ilocos Sur
La Union
Pangasinan
CAGAYAN VALLEY:
Cagayan
Isabela
Nueva Vizcaya
Quirino
CENTRAL LUZON:
Aurora
Bataan
Bulacan
Nueva Ecija
Pampanga
Tarlac
Zambales
CALABARZON:
Batangas
Cavite
Laguna
Quezon
Rizal
MIMAROPA:
Marinduque
Mindoro Occidental
Mindoro Oriental
Palawan
Romblon
BICOL:
Albay
Camarines Norte
Camarines Sur
Catanduanes
Masbate
Sorsogon
WESTERN VISAYAS:
Aklan
Antique
Capiz
Guimaras
Iloilo
Negros Occidental
CENTRAL VISAYAS:
Bohol
Cebu
Negros Oriental
Siquijor
EASTERN VISAYAS:
Biliran
Eastern Samar
Leyte
Northern Samar
Southern Leyte
Samar
ZAMBOANGA PENINSULA:
Zamboanga City
Zamboanga del Norte
Zamboanga del Sur
Zamboanga Sibugay
NORTHERN MINDANAO:
Bukidnon
Camiguin
Lanao del Norte
Misamis Occidental
Misamis Oriental
DAVAO REGION:
Compostela Valley
Davao City
Davao Norte
Davao Oriental
Davao del Sur
SOCCSKSARGEN:
North Cotabato
Saranggani
South Cotabato
Sultan Kudarat
CARAGA:
Agusan del Norte
Agusan del Sur
Surigao del Norte
Surigao del Sur
ARMM:
Basilan
Lanao Del Sur
Maguindanao
Sulu
Tawi-Tawi
CAR:
Abra
Apayao
Benguet
Ifugao
Kalinga
Mt. Province
ILOCOS REGION:
Ilocos Norte
Ilocos Sur
La Union
Pangasinan
CAGAYAN VALLEY:
Cagayan
Isabela
Nueva Vizcaya
Quirino
CENTRAL LUZON:
Aurora
Bataan
Bulacan
Nueva Ecija
Pampanga
Tarlac
Zambales
CALABARZON:
Batangas
Cavite
Laguna
Quezon
Rizal
MIMAROPA:
Marinduque
Mindoro Occidental
Mindoro Oriental
Palawan
Romblon
BICOL:
Albay
Camarines Norte
Camarines Sur
Catanduanes
Masbate
Sorsogon
WESTERN VISAYAS:
Aklan
Antique
Capiz
Guimaras
Iloilo
Negros Occidental
CENTRAL VISAYAS:
Bohol
Cebu
Negros Oriental
Siquijor
EASTERN VISAYAS:
Biliran
Eastern Samar
Leyte
Northern Samar
Southern Leyte
Samar
ZAMBOANGA PENINSULA:
Zamboanga City
Zamboanga del Norte
Zamboanga del Sur
Zamboanga Sibugay
NORTHERN MINDANAO:
Bukidnon
Camiguin
Lanao del Norte
Misamis Occidental
Misamis Oriental
DAVAO REGION:
Compostela Valley
Davao City
Davao Norte
Davao Oriental
Davao del Sur
SOCCSKSARGEN:
North Cotabato
Saranggani
South Cotabato
Sultan Kudarat
CARAGA:
Agusan del Norte
Agusan del Sur
Surigao del Norte
Surigao del Sur
ARMM:
Basilan
Lanao Del Sur
Maguindanao
Sulu
Tawi-Tawi
Geographic Unit
The lowest level of geographic disaggregation is the municipality.
Universe
The survey covers all small farm producers and plantation farms of all agricultural crops, other than palay and corn, nationwide.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Sugar Regulatory Administration | DA | data collection and validation for canes milled for centrifugal sugar |
| Philippine Coconut Authority | DA | data collection and validation for coconut |
| National Tobacco Administration | DA | data collection and validation for tobacco data in program areas |
| Fiber Development Authority | DA | data collection and validation for fiber from baling stations |
| Cotton Development Administration | DA | data collection and validation for cotton |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | funding agency and implementor |
| Department of Agriculture-Ginintuang Masaganang Agrikultura-High Value Commercial Crops | DA-GMA-HVCC | funding support |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Regional Field Units | DA | other source of data on volume of production and inflow/outflow and area |
| Bureau of Plant Industry | DA | data source of parameters on crops and other crop related information |
Sampling
Sampling Procedure
The survey employs two-stage sampling design with municipality as the primary sampling unit (psu) and farmer-producer as the secondary sampling unit (ssu).
Farms are classified as small farms and plantation farms. For small farms, crops are classified based on coverage of the Farm Price Survey, e.i. Farm Price Survey and non-Farm Price Survey. For crops under Farm Price Survey, the top five producing municipalities based on the volume of production were chosen as psu. In each municipality, five sample farmer-producers as ssu were enumerated.
For small farms of all other crops not covered under Farm Price Survey, top two to three producing municipalities were chosen as psus. In each municipality, three sample farmer-producers as ssu were enumerated.
This scheme is applied to each of the crops being covered every survey round. It is possible for a farmer-producer to be a respondent for several crops, which he plants and harvests during the reference quarter.
Classification for plantation farms is based on the cut-off on area planted. Each survey round covers a maximum of 5 plantations by crop.
The above scheme was adopted since 2005 to date.
The sampling design for CrPS has undergone several changes. In 1988 until 2000, the survey adopted three stage sampling or 5x5x5. This is intended to represent the five (5) municipalities as the primary sampling unit, five barangays as the secondary sampling unit and five (5) households as the ultimate sampling unit. In May 2000, a two stage sampling was adopted with the five (5) top producing municipalities as the primary sampling unit and five farmers-producers as the secondary sampling unit.
For coconut, the sampling procedure was in collaboration with the PCA which was developed in 1996. The Bureau was responsible for the survey methodology and data processing while the PCA was responsible for the data collection.
A three-stage sampling is being employed. The domain of the survey is the municipality, classified as coastal flat, coastal upland, inland flat, and inland upland. The barangays, also classified according to the classification used for the municipalities, serve as the first stage. The second stage is the two coconut farmers from each sample barangay drawn using simple random sampling. The third stage is the 10 sample coconut trees lying along the longest diagonal line bisecting the parcel. The sampling design cut across the small and plantation farms and remain the same until the frame is updated or the sampling design is changed.
The survey was piloted in Davao Region provinces which started on the fourth quarter of 1996. This was replicated in the Western Visayas provinces in the first quarter of the following year. The provinces in the rest of the regions conducted this survey beginning in June 1997. The PASOs and the Provincial Coconut Development Managers jointly validate the results. The PASOs forward the result to the region for further joint review by the RASOs and the Regional Managers.
Farms are classified as small farms and plantation farms. For small farms, crops are classified based on coverage of the Farm Price Survey, e.i. Farm Price Survey and non-Farm Price Survey. For crops under Farm Price Survey, the top five producing municipalities based on the volume of production were chosen as psu. In each municipality, five sample farmer-producers as ssu were enumerated.
For small farms of all other crops not covered under Farm Price Survey, top two to three producing municipalities were chosen as psus. In each municipality, three sample farmer-producers as ssu were enumerated.
This scheme is applied to each of the crops being covered every survey round. It is possible for a farmer-producer to be a respondent for several crops, which he plants and harvests during the reference quarter.
Classification for plantation farms is based on the cut-off on area planted. Each survey round covers a maximum of 5 plantations by crop.
The above scheme was adopted since 2005 to date.
The sampling design for CrPS has undergone several changes. In 1988 until 2000, the survey adopted three stage sampling or 5x5x5. This is intended to represent the five (5) municipalities as the primary sampling unit, five barangays as the secondary sampling unit and five (5) households as the ultimate sampling unit. In May 2000, a two stage sampling was adopted with the five (5) top producing municipalities as the primary sampling unit and five farmers-producers as the secondary sampling unit.
For coconut, the sampling procedure was in collaboration with the PCA which was developed in 1996. The Bureau was responsible for the survey methodology and data processing while the PCA was responsible for the data collection.
A three-stage sampling is being employed. The domain of the survey is the municipality, classified as coastal flat, coastal upland, inland flat, and inland upland. The barangays, also classified according to the classification used for the municipalities, serve as the first stage. The second stage is the two coconut farmers from each sample barangay drawn using simple random sampling. The third stage is the 10 sample coconut trees lying along the longest diagonal line bisecting the parcel. The sampling design cut across the small and plantation farms and remain the same until the frame is updated or the sampling design is changed.
The survey was piloted in Davao Region provinces which started on the fourth quarter of 1996. This was replicated in the Western Visayas provinces in the first quarter of the following year. The provinces in the rest of the regions conducted this survey beginning in June 1997. The PASOs and the Provincial Coconut Development Managers jointly validate the results. The PASOs forward the result to the region for further joint review by the RASOs and the Regional Managers.
Weighting
Responses on actual levels from the respondents are summarized and the overall change at the provincial level is estimated for each crop separately for plantations and for small farms. The overall percent change for the province accounts for both plantations and small farms and are computed based on their relative contributions of area planted in the province. These levels of contribution are discussed, reviewed and validated by the Provincial Agriculture Statistics Officers (PASOs) and their staff based on their best judgment and assessment. The survey result when the data collection for these crops was simultaneously conducted with the Rice and Corn Survey in 1970s and 1980s served as the benchmark level.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2008-02-20 | 2008-02-27 | Quarter 1 |
| 2008-05-20 | 2008-05-30 | Quarter 2 |
| 2008-08-20 | 2008-08-30 | Quarter 3 |
| 2008-11-20 | 2008-11-30 | Quarter 4 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2008-01-01 | 2008-03-31 | Quarter 1 |
| 2008-04-01 | 2008-06-30 | Quarter 2 |
| 2008-07-01 | 2008-09-30 | Quarter 3 |
| 2008-10-01 | 2008-12-31 | Quarter 4 |
Data Collection Mode
Face-to-face [f2f]
Supervision
During the data collection, the RASO is responsible for the monitoring and supervision of the activities of all provinces within the region. He/she reports the progress of the survey to the Director and Assistant Director through the Statistical Operations Coordination Division (SOCD) chief.
The overall supervisor in the province is the PASO. The Assistant PASO, aside from his/her assignment as assistant supervisor in the province, may be given a specific area of supervision by the PASO. Like the Assistant PASO, the Officer-In-Charge PASOs have also specific area of supervision.
The RASOs and PASOs conduct personal supervision and backchecking. While doing so, they also conduct their own observation to strengthen and enhance the regional and provincial estimates. Personal supervision is done by accompanying the field staff during the data collection. While the backchecking calls for the PASOs to visit the collection areas where he/she has not accompanied the field staff during the data collection. In most cases, backchecking involves asking some sample respondents on the information asked during the data collection proper, getting the patterns and trends on the levels of data of a commodity and interviewing the Barangay Chairman or its officers if the field staff has indeed visited the area during the period.
The overall supervisor in the province is the PASO. The Assistant PASO, aside from his/her assignment as assistant supervisor in the province, may be given a specific area of supervision by the PASO. Like the Assistant PASO, the Officer-In-Charge PASOs have also specific area of supervision.
The RASOs and PASOs conduct personal supervision and backchecking. While doing so, they also conduct their own observation to strengthen and enhance the regional and provincial estimates. Personal supervision is done by accompanying the field staff during the data collection. While the backchecking calls for the PASOs to visit the collection areas where he/she has not accompanied the field staff during the data collection. In most cases, backchecking involves asking some sample respondents on the information asked during the data collection proper, getting the patterns and trends on the levels of data of a commodity and interviewing the Barangay Chairman or its officers if the field staff has indeed visited the area during the period.
Data Collection Notes
For crops covered by specialized agencies of the government, the scheme varies. For sugarcane, the data for centrifugal sugar in ton canes are obtained from the Sugar Regulatory Administration (SRA). These are from the reports of sugar mills operating in the country. The BAS Operations Centers collect data on production of canes for chewing, basi and muscovado through the quarterly Crop Production Survey. These two data sets are incorporated to account for the production of sugarcane.
In the case of fiber crops, the national total is the summary comprising the data from both the Fiber Industry Development Authority (FIDA) and BAS. Data of FIDA are from the baling stations while the data of provinces with no baling stations are derived from the Crop Production Survey of the BAS. Data from FIDA also serves as check data.
For cotton, the Cotton Development Administration (CODA) provides the bureau with data from their monitoring system. This includes the 10 CODA monitored provinces which are also covered in the BAS Crop Production Survey. CODA data serves as check data during data validation. Meanwhile, for coconut, the data is a product of the reconciled data of the Quarterly Coconut Production Survey (QCPS), a joint undertaking with the Philippine Coconut Authority (PCA) and Crop Production Survey of BAS.
For tobacco, data is obtained from the Crop Production Survey of the BAS. In the review and analysis of data, the National Tobacco Administration (NTA) is consulted and provides auxiliary information, which serves as inputs for data checking.
The CrPS data collection is conducted at the last ten days of the second month of the quarter. The estimates generated for the current quarter is preliminary and final data for the previous quarter.
In the case of fiber crops, the national total is the summary comprising the data from both the Fiber Industry Development Authority (FIDA) and BAS. Data of FIDA are from the baling stations while the data of provinces with no baling stations are derived from the Crop Production Survey of the BAS. Data from FIDA also serves as check data.
For cotton, the Cotton Development Administration (CODA) provides the bureau with data from their monitoring system. This includes the 10 CODA monitored provinces which are also covered in the BAS Crop Production Survey. CODA data serves as check data during data validation. Meanwhile, for coconut, the data is a product of the reconciled data of the Quarterly Coconut Production Survey (QCPS), a joint undertaking with the Philippine Coconut Authority (PCA) and Crop Production Survey of BAS.
For tobacco, data is obtained from the Crop Production Survey of the BAS. In the review and analysis of data, the National Tobacco Administration (NTA) is consulted and provides auxiliary information, which serves as inputs for data checking.
The CrPS data collection is conducted at the last ten days of the second month of the quarter. The estimates generated for the current quarter is preliminary and final data for the previous quarter.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bureau of Agricultural Statistics - Provincial Operations Centers | BAS - POCs | Department of Agriculture |
| Sugar Regulatory Administration | SRA | Department of Agriculture |
| Philippine Coconut Authority | PCA | Department of Agriculture |
| National Tobacco Administration | NTA | Department of Agriculture |
| Fiber Development Authority | FIDA | Department of Agriculture |
| Cotton Development Administration | CODA | Department of Agriculture |
Questionnaires
Questionnaires
The title of the questionnaire is Crops Production Survey, and is in the English language. This captures production, area, and bearing trees for the current quarter and last year same period. A remaks column is also provided for the explanation on the changes this year versus last year.
The questionnaire also serves as summary worksheet for the small farms and plantation farms and provinvial summary.
The instrument is a one-page questionnaire which could accommodate as many as five crops. The number of sheets may vary depending on the number of crops covered in the province.
The questionnaire also serves as summary worksheet for the small farms and plantation farms and provinvial summary.
The instrument is a one-page questionnaire which could accommodate as many as five crops. The number of sheets may vary depending on the number of crops covered in the province.
Data Processing
Data Editing
Editing is done in four stages during the data review. The initial stage is at the collection point while with the respondent. This starts with the completeness and correctness of the entries in the answer grid. The yield per unit area, or kilograms per bearing tree and planting density were computed and verified with the respondents when these are out of range. The range varies by crop and reference period. The farmer-respondents are asked on the climatic condition a quarter ago up to the prevailing quarter and explanations on the change in the level against the same period a year ago. During the Provincial Data Review, Regional Data Review and National Data Review, data editing is done after encoding and data transfer from one form or system to another during the generation of estimates.
Other Processing
Using the MS-Excel software, regional totals and percent changes are automatically computed upon linking of the provincial worksheets. Likewise, the Central Office generates the national estimates by linking regional files. Other than the summation of the levels on volume of production, area and bearing trees, the system computes for the kilograms per hectare/bearing trees and bearing trees per hectare at all levels.
Data Appraisal
Estimates of Sampling Error
Not estimated.
Data Appraisal
The estimates are subjected to three levels of data review and validation. These are the Provincial Data Review (PDR), Regional Data Review (RDR) and National Data Review (NDR).
Accross all data validation levels, a set of parameters is being used as guideposts and the available data from other agencies.
The existing indicators also accounts for the situation in the province. At the RDR, the data is assessed to reflect the situation of the region and the levels in comparison between and among the provinces in the region. At the NDR, the data are validated in comparison to national level data and the data between and among the regions.
To some extent and for valid reasons, this involves adjustment of the levels of the data generated.
Accross all data validation levels, a set of parameters is being used as guideposts and the available data from other agencies.
The existing indicators also accounts for the situation in the province. At the RDR, the data is assessed to reflect the situation of the region and the levels in comparison between and among the provinces in the region. At the NDR, the data are validated in comparison to national level data and the data between and among the regions.
To some extent and for valid reasons, this involves adjustment of the levels of the data generated.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | BAS | idss@bas.gov.ph | www.bas.gov.ph |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division Chief, Crops Statistics Division | BAS | csd@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 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, Crops Production Survey, Version 2.0 of the licensed dataset 2008, provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Crops Production Survey, Version 2.0 of the licensed dataset 2008, 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 2008 © Bureau of Agricultural Statistics, All rights reserved.
Metadata production
DDI Document ID
DDI_PHL_2008_CrPS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Lorna V. Gabito | LVG | BAS | Documentation of the study |
| Accelerated Data Program | ADP | International Household Survey Netword | Editing for the IHSN Survey Catalog |
Date of Metadata Production
2009-08-31
DDI Document version
Version 01: Adopted from "DDI_PHL_2008_CrPS_v01_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.