Wholesale Price Survey 2009
Philippines, 2009
Reference ID
PHL-BAS-WPS-2009-v2.0
Producer(s)
Bureau of Agricultural Statistics (BAS)
Collection(s)
Metadata
Created on
Sep 14, 2021
Last modified
Sep 14, 2021
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Identification
Title
Wholesale Price Survey 2009
Countries
Name | Abbreviation |
---|---|
Philippines | PHL |
idno
PHL-BAS-WPS-2009-v2.0
Study notes
The general objective of the survey is to implement a comprehensive and responsive marketing information system for unprocessed agricultural commodities traded in major local/provincial market centers as well as in strategic terminal markets throughout the country. Specifically, the survey aims to: 1) conduct wholesale surveys of market prices and other relevant marketing information at various frequencies at pre-determined major trading centers throughout the country; 2) immediately process information at the field level and thereafter disseminate these particularly to the farmers; 3) operationalize an information exchange subsystem among Provincial Operations Centers; 4) publish and disseminate national level reports for policy makers and other interested groups or persons; 5) conduct periodic evaluation of the system that will be the basis for planning improvements on AGMARIS implementation; 6) establish linkages with national and provincial media;7) conduct statistical analysis of quantitative market information being generated.
The survey covers two (2) types of prices: 1) wholesale buying prices, and 2) wholesale selling prices.
The survey covers two (2) types of prices: 1) wholesale buying prices, and 2) wholesale selling prices.
Kind of data
Sample survey data [ssd]
Unit of analysis
Wholesale prices of agricultural commodities
Version
Version
V2.0: edited at Central Office, not anonymized, for internal use
Version date
2009-07
Scope
Topics
Topic | Vocabulary | URI |
---|---|---|
agricultural, forestry and rural industry [2.1] | CESSDA | http://www.nesstar.org/rdf/common |
ECONOMICS [1] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
Geographic coverage
National coverage
Geographic unit
The lowest level of geographic aggregation covered by the data is the province.
Unit of analysis
Wholesale prices of agricultural commodities
Universe
Buying and selling prices of all wholesale traders of the agricultural commodity:
Producers and sponsors
Funding agencies
Name | Abbreviation | Role |
---|---|---|
Bureau of Agricultural Statistics | BAS |
Sampling
Sampling procedure
The selection of wholesale and retail markets was based on the results of the Survey on Wholesale and Retail Markets conducted in 1986. The survey considered the volume of commodities traded, number of market day and others. The provinces with selected wholesale markets based on the set criteria are covered for the wholesale price survey.
The commodities covered for wholesale price were chosen based on the following criteria:
1. grown or produced in the province by many farmers;
2. included in the national market;
3. substantial volume marketed with strong potential demand;
4. commodities handled by specialized agencies; and
5. considerable price fluctuations
Respondents for the wholesale price survey are traders who sell in bulk or large quantities of the agricultural commodities monitored. The selection of respondents involves the listing of all traders doing business in the market or collection area. This is done by type of price to be monitored. This means one list of traders engaged in wholesale selling and another list of traders doing wholesale buying are constructed. Moreover, listing is done by commodity targets for wholesale price collection.
In choosing the samples for each commodity, the traders are stratified according to type such as distributor classified into small, medium and large, assembler classified into barangay,municipal, regional and interregional; and this could be a several combination of assembler/distributor.The traders are grouped into two or a maximum of three groups from which samples are drawn. Five respondents are interviewed per collection day. If there are three trader groups, two of the respondents will come from the first group, another two from the second group and one from the third group. In case only two groups of traders are formed, three respondents will be drawn from group one and two respondents from group two following a specific set of procedures.
A list of substitute respondents is prepared per collection day. This comes also from the trader groups previously formed. The substitutes are interviewed in case the respondents originally scheduled suddenly become unavailable or unable to buy and sell during that day.
The length of time in which a respondent will stay in the sample depends on the frequency of price collection in the market. For markets with price collection done three times a week or less, respondents are rotated every two weeks. Otherwise, rotation of respondents is done weekly.
In rotating samples, the first three respondents are dropped and the last two are carried over. Three new respondents are added following the procedure to complete the required number of five respondents.
The commodities covered for wholesale price were chosen based on the following criteria:
1. grown or produced in the province by many farmers;
2. included in the national market;
3. substantial volume marketed with strong potential demand;
4. commodities handled by specialized agencies; and
5. considerable price fluctuations
Respondents for the wholesale price survey are traders who sell in bulk or large quantities of the agricultural commodities monitored. The selection of respondents involves the listing of all traders doing business in the market or collection area. This is done by type of price to be monitored. This means one list of traders engaged in wholesale selling and another list of traders doing wholesale buying are constructed. Moreover, listing is done by commodity targets for wholesale price collection.
In choosing the samples for each commodity, the traders are stratified according to type such as distributor classified into small, medium and large, assembler classified into barangay,municipal, regional and interregional; and this could be a several combination of assembler/distributor.The traders are grouped into two or a maximum of three groups from which samples are drawn. Five respondents are interviewed per collection day. If there are three trader groups, two of the respondents will come from the first group, another two from the second group and one from the third group. In case only two groups of traders are formed, three respondents will be drawn from group one and two respondents from group two following a specific set of procedures.
A list of substitute respondents is prepared per collection day. This comes also from the trader groups previously formed. The substitutes are interviewed in case the respondents originally scheduled suddenly become unavailable or unable to buy and sell during that day.
The length of time in which a respondent will stay in the sample depends on the frequency of price collection in the market. For markets with price collection done three times a week or less, respondents are rotated every two weeks. Otherwise, rotation of respondents is done weekly.
In rotating samples, the first three respondents are dropped and the last two are carried over. Three new respondents are added following the procedure to complete the required number of five respondents.
Deviations from sample design
In cases where the number of traders is limited, the respondents are selected purposively and no rotation is done until the number of traders is increased.
Data Collection
Dates of collection
Start | End | Cycle |
---|---|---|
2009-01-01 | 2009-01-31 | January |
2009-02-01 | 2009-02-28 | February |
2009-03-01 | 2009-03-31 | March |
2009-04-01 | 2009-04-30 | April |
2009-05-01 | 2009-05-31 | May |
2009-06-01 | 2009-06-30 | June |
2009-07-01 | 2009-07-31 | July |
2009-08-01 | 2009-08-31 | August |
2009-09-01 | 2009-09-30 | September |
2009-10-01 | 2009-10-31 | October |
2009-11-01 | 2009-11-30 | November |
2009-12-01 | 2009-12-31 | December |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
Supervision is being done by the Provincial Agricultural Statistics Officer (PASO) from data collection, processing and analysis. The number of market reporters being supervised by the PASO depends on the number of markets covered by the province.
Questionnaires
Wholesale prices of agricultural commodities are obtained from respondents through direct interview by regular market reporters (MRs) in the POCs using the following specific collection forms:
1. CF 1A - for wholesale buying prices of AGMARIS commodities
2. CF 1B - for wholesale buying prices of a few AMNEWSS commodities
3. CF 2B - for wholesale selling prices of AGMARIS-AMNEWSS commodities
Such collection forms contain the following parts:
1. Commodity name;
2. Respondent's name
3. Price per unit
4. Comments/relative supply level
5. Price range (low/high)
1. CF 1A - for wholesale buying prices of AGMARIS commodities
2. CF 1B - for wholesale buying prices of a few AMNEWSS commodities
3. CF 2B - for wholesale selling prices of AGMARIS-AMNEWSS commodities
Such collection forms contain the following parts:
1. Commodity name;
2. Respondent's name
3. Price per unit
4. Comments/relative supply level
5. Price range (low/high)
Data collector(s)
Name | Abbreviation | Affiliation |
---|---|---|
Market Reporters | MRs | Bureau of Agricultural Statistics |
Data Processing
Data editing
Editing, encoding and generation of monthly provincial reports are done in the POCs. Prior to encoding, the accomplished questionnaires are manually edited for validity and consistency. The data files undergo validation using an editing program based on pre-set validation criteria such as consistency check, range check and acceptability and validity of data.
Data Appraisal
Other forms of data appraisal
The review of wholesale price data is done in the POCs and CO against the following indicators: 1) consistency of commodity coverage with Provincial Wholesale Market Basket (PWMB); 2) consistency of average prices with trends; 3) possible inputting errors; and 4) abrupt changes.
The observations of the Market Reporters in the market as to the supply situation and other developments during the actual interview are also utilized in the review of the data.
The observations of the Market Reporters in the market as to the supply situation and other developments during the actual interview are also utilized in the review of the data.
Data access
Access authorities
Name | Affiliation | URI | |
---|---|---|---|
Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
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, Wholesale Price Survey, Version 1.0 of the licensed dataset (August 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Wholesale Price Survey, Version 1.0 of the licensed dataset (August 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.
Copyrights
Copyright 2008-2009 © Bureau of Agricultural Statistics, Philippines. All rights reserved
contacts
Contact(s)
Name | Affiliation | URI | |
---|---|---|---|
Division Chief | Bureau of Agricultural Statistics | amsad@bas.gov.ph | http://www.bas.gov.ph |