Retail Price Survey 2009
Philippines, 2009
Reference ID
PHL-BAS-RPS-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
Retail Price Survey 2009
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-BAS-RPS-2009-v2.0
Launched in 1968 under the Agricultural Marketing News Service (AMNEWSS), monitoring of retail prices of agricultural commodities is a continuing activity of the Agricultural Marketing Statistics Analysis Division (AMSAD) of the Bureau of Agricultural Statistics (BAS). Its main responsibility is to gather and disseminate timely, reliable and accurate information on prices.
Retail prices are important determinants of supply and demand levels. They influence decisions related to the type and volume of agricultural production activity and provide guidelines for policy formulation and executive action. Therefore, collection and compilation of retail prices deserve careful attention to be more meaningful to its intended users. The continuously increasing requirement for market price statistics has prompted the Bureau to look for more innovative means of monitoring this information. Hence, the implementation of the integrated AGMARIS-AMNEWSS.
The general objective of integrated AGMARIS-AMNEWSS 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 price survey of retail prices 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.
Retail prices are important determinants of supply and demand levels. They influence decisions related to the type and volume of agricultural production activity and provide guidelines for policy formulation and executive action. Therefore, collection and compilation of retail prices deserve careful attention to be more meaningful to its intended users. The continuously increasing requirement for market price statistics has prompted the Bureau to look for more innovative means of monitoring this information. Hence, the implementation of the integrated AGMARIS-AMNEWSS.
The general objective of integrated AGMARIS-AMNEWSS 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 price survey of retail prices 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.
Sample survey data [ssd]
Retail prices of agricultural goods. (Retail prices are prices at which retailers sell their goods or commodities to consumers in the marketplace.)
Version
v2.0: edited at Central Office, not anonymized, for internal use
2009-07
Scope
Topic | Vocabulary | URI |
---|---|---|
agricultural, forestry and rural industry [2.1] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National Coverage (17 regions including the National Capital Region)
Province - covers 81 provinces
Retail prices of agricultural goods. (Retail prices are prices at which retailers sell their goods or commodities to consumers in the marketplace.)
Retail prices of all agricultural commodities.
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Bureau of Agricultural Statistics | BAS |
Sampling
The selection of retail markets was based on the results of the Survey on Retail Markets conducted in 1986. The survey considered the volume of commodities traded, number of market day and others. The provinces with selected retail markets based on the set criteria are covered for the retail price survey.
The commdoities covered for retail 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;
5. considerable price fluctuations;
6. frequently requested by researchers and local government agencies;and
7. regularly aired over the radio
Respondents for the retail price survey are retailers with permanent stalls or place of business to sell thier goods. The selection of respondents involves the listing of all retailers doing business in the market or collection area. In choosing the samples for each commodity, the retailer are stratified according to their location or place of business in the market or collection area since the location where a trader conducts business in the market may have an effect on prices. Stratification levels are important to ensure that the samples will represent the different prices in the market. For instance, in most markets, it is observed that prices of commodities sold outside the market are lower than those sold inside. This could be due to the higher costs incurred by retailers who occupy stalls inside the market. Example of stratification levels for retail markets are as follows: inside the market, outside the market, along street A, along street B, etc.
A list of substitute respondents is prepared per collection day. The substitutes are interviewed in case the respondents originally scheduled suddenly become unavailable or unable to buy and sell during that day.
For each commodity or item, at least five (5) respondents are interviewed purposively per collection day. As with wholesale price respondents, samples in retail price monitoring are rotated at the end of a collection period, example weekly. The length of time in which the respondent will be in the sample depends on the frequency of price collection in the market. For markets with price collection done three times (3) a week or less, respondents are rotated every two (2) weeks. Otherwise, rotation of respondents is done weekly.
In rotating samples, the first three (3) respondents are dropped and the last two (2) are carried over.
The commdoities covered for retail 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;
5. considerable price fluctuations;
6. frequently requested by researchers and local government agencies;and
7. regularly aired over the radio
Respondents for the retail price survey are retailers with permanent stalls or place of business to sell thier goods. The selection of respondents involves the listing of all retailers doing business in the market or collection area. In choosing the samples for each commodity, the retailer are stratified according to their location or place of business in the market or collection area since the location where a trader conducts business in the market may have an effect on prices. Stratification levels are important to ensure that the samples will represent the different prices in the market. For instance, in most markets, it is observed that prices of commodities sold outside the market are lower than those sold inside. This could be due to the higher costs incurred by retailers who occupy stalls inside the market. Example of stratification levels for retail markets are as follows: inside the market, outside the market, along street A, along street B, etc.
A list of substitute respondents is prepared per collection day. The substitutes are interviewed in case the respondents originally scheduled suddenly become unavailable or unable to buy and sell during that day.
For each commodity or item, at least five (5) respondents are interviewed purposively per collection day. As with wholesale price respondents, samples in retail price monitoring are rotated at the end of a collection period, example weekly. The length of time in which the respondent will be in the sample depends on the frequency of price collection in the market. For markets with price collection done three times (3) a week or less, respondents are rotated every two (2) weeks. Otherwise, rotation of respondents is done weekly.
In rotating samples, the first three (3) respondents are dropped and the last two (2) are carried over.
In cases where respondents are limited, the samples are taken purposively and no rotation is done until the list of respondents is increased.
No weights were used.
Data Collection
Start | End | Cycle |
---|---|---|
2009-01-01 | 2009-01-30 | 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 |
Face-to-face [f2f]
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.
Retail 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 3A - for retail selling prices of AGMARIS commodities
2. CF 2B - for retail selling prices of 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 3A - for retail selling prices of AGMARIS commodities
2. CF 2B - for retail selling prices of 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)
Name | Abbreviation | Affiliation |
---|---|---|
Market Reporter | MR | Bureau of Agricultural Statistics |
Data Processing
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
The review of data on retail prices is done in the Provincial Operation Centers and Central Office against the following indicators: 1) consistency with PRMB and commodity specifications; 2) consistency with trends; 3) possible inputting errors; and 4) abrupt changes.
The observations of the Market Reporters in the market as to the supply situations 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 situations and other developments during the actual interview are also utilized in the review of the data.
Data access
Name | Affiliation | URI | |
---|---|---|---|
Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
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.
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, Retail Price Survey, Version 2.0 of the licensed dataset (August 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Retail Price Survey, Version 2.0 of the licensed dataset (August 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
Disclaimer and copyrights
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 2008-2009 © Bureau of Agricultural Statistics, All rights reserved
contacts
Name | Affiliation | URI | |
---|---|---|---|
Division Chief | Bureau of Agricultural Statistics | amsad@bas.gov.ph | http://www.bas.gov.ph |