DDI_PHL_2009_PCSS_v01_EN_M_v01_A_OCS_FAO Office of the Chief Statistician Maria Clarinda M. Evangelista Evelyn B. Reyes <_value> NADA PHL_2009_PCSS_v01_EN_M_v01_A_OCS_v01 Palay and Corn Stocks Survey 2009 PCSS 2009 PHL_2009_PCSS_v01_EN_M_v01_A_OCS Bureau of Agricultural Statistics NADA Bureau of Agricultural Statistics Division Chief Agricultural Survey [ag/oth] The Bureau of Agricultural Statistics (BAS) has come up with surveys that will serve as basis in decision making regarding staple cereals. Information on the current level of grain stocks in the country will guide policy and decision makers regarding production and marketing, particularly on imports or exports of rice and corn. For almost three (3) decades, the collection of this stock information has been a continuing activity of the bureau and is being conducted monthly. Agricultural, forestry and rural industry [2.1] The general purpose of the Palay and Corn Stocks Survey of households is to gather information on the current level of stock being maintained by farming and non-farming households. The data to be generated from the survey seek to serve the following objectives: 1. To generate estimates of current stocks of rice and corn in farming and non-farming households; 2. To serve as inputs in the analysis of the seasonal trends and variations in the supply of rice and corn; 3. To serve as inputs for forecasting future supply, demand and prices of palay and corn; 4. To assist policy-makers in the formulation, implementation and administration of agricultural economic programs; and 5. To guide farmers in their decision making relative to their agricultural activities geared towards improvement of their profitability. Philippines National Coverage Households Farm and non-farm households in palay and corn producing provinces. Sample survey data [ssd] The scope of the Palay and Corn Stocks Survey includes: - Geographic Classification (province, municipality, barangay, province classification) and Household Classification (farming and non-farming). - Household Characteristics (name of household head, name of respondent, relationship to household head). - Quantity of Palay in the house as of the reporting month, as of 6:00 am, in local unit (unit used, number of units, weight of one unit). - Quantity of Rice in the house as of the reporting month, as of 6:00 am, in local unit (unit used, number of units, weight of one unit). - Quantity of Shelled Corn (yellow/white) in the house as of the reporting month, in local unit (unit used, number of units, weight of one unit). - Quantity of Corn Grits (yellow/white) in the house as of the reporting month, in local unit (unit used, number of units, weight of one unit). Bureau of Agricultural Statistics The domain of the survey is the province. The sampling procedure used in the Palay and Corn Stocks Survey (PCSS) makes use of one replicate of the Palay and Corn Production Survey (PCPS). Sample selection is done in two stages - at the barangay level and at the household level. The province's classification is taken into consideration in the classification of barangays sampled. - For pure palay provinces, or provinces whose major crop is palay, all the 10 sample barangays from one replicate of the Palay Production Survey (PPS) are covered. - For pure corn provinces, or provinces whose major crop is corn, all the 10 sample barangays from one replicate of the Corn Production Survey (CPS) are covered. - For palay and corn (overlap) provinces, or provinces where both palay and corn are the major crops, five (5) barangays are drawn from the PPS sample barangays and another five (5) from the CPS sample barangays. - For minor provinces, or povinces whose major crop is neither palay nor corn, five (5) sample barangays are drawn. For each sample barangay, all PCPS sample households are enumerated. However, since the PCPS covered only farming households, five (5) non-farming households from the same barangay were selected to complete the sample for the barangay. Selection of sample non-farming households is done using the right coverage procedure with a pre-defined starting point and random start. Right coverage is the fashion by which the data collector looks for qualified sample households along the existing path-structure in a barangay. The right coverage requires that at the landmark-starting point, the data collector's standing position is such that his/her right shoulder points to the main entrance of the starting point. He/she then moves on along this path, choosing households along the road or passage-way. A range of alleys or "eskinitas" along or intersecting main roads on the right side shall be penetrated in a serpentine manner. Extensions/other areas to be covered must be adjacent to the original spot and must be penetrated in likewise manner. Information on both palay and corn stock as of the start of the month are gathered from all sample households by interviewing the household head or any other household member knowledgeable of the household's palay/corn stock level. Face-to-face paper [f2f] Sample weights were applied to all variables at the household-level. A uniform sample weight was determined for farming households and another for non-farming households in the province. For farming households, the sample weight was the inverse of the total number of farmning households and the number of sample farming households in the province who responded to the survey. On the other hand, the sample weight for non-farming households was the reciprocal of the total number of non-farming households and the number of sample non-farming households in the province who responded to the survey. The number of farming households was initially determined from the results of the 1991 Census of Agriculture and Fisheries (CAF). Annual updating of the total number of farming and non-farming households was determined as follows: 1. Total number of households for the province was derived based on NSO's projected total population for the reference and corresponding average household size. 2. The updated total numbers of farming and non-farming households for the province were determined by applying their respective 1991 CAF proportions to the derived total number of households. Completed survey returns were edited, compiled and summarized by the field staff. They also computed the initial estimates of stocks of palay and corn for the barangay (raw data) and province using the prescribed estimation procedure. The processing of the Palay and Corn Stocks Survey (PCSS) returns is decentralized. In the operations center, this is still done manually and results derived are processed using an Excel-based processing system developed at the Cereals Statistics Section. The resulting provincial estimates are summarized using the prescribed format and forwarded to the Central Office for review and consolidation. Review is being done based on time series data and is further validated with concerned RASOs and PASOs. 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. 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, Palay and Corn Stocks Survey, Version 1.0 of the licensed dataset (July 2009), provided by the BAS Electronic Archiving and Network Services. 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 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.