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Costs and Returns Survey of Seaweed Production 2007

Philippines, 2008
Reference ID
PHL_2007_CRSSP_v01_M
Producer(s)
Bureau of Agricultural Statistics
Metadata
DDI/XML JSON
Created on
Apr 12, 2012
Last modified
Mar 29, 2019
Page views
48795
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    PHL_2007_CRSSP_v01_M

    Title

    Costs and Returns Survey of Seaweed Production 2007

    Country
    Name Country code
    Philippines PHL
    Study type

    Agricultural Survey [ag/oth]

    Series Information

    This is the first conduct of the Survey on Costs and Returns in Seaweed Production.

    Abstract

    Seaweed has become one of the most promising commodities in the country because of its wide industrial and commercial uses. It is a major contributor to foreign currency earnings. Seaweed culture requires more labor inputs, thus, it offers more employment opportunities than other fishery activities, especially, for those idle labor forces in the coastal areas.

    Due to the large potentials of seaweed, it has become necessary to ascertain the profitability of venturing into the production of this commodity. Its large contribution to the overall fishery subsector has also made it one of the top priorities for development. The Costs and Returns Survey of Seaweed Production was conducted to generate the needed information for promoting the sustained expansion of the seaweed industry in the Philippines.

    The main objective of this study was to generate production costs and returns structure of seaweeds. Specifically, it was conducted to determine production cost structures, indicators of profitability such as gross and net returns, returns above cash costs, net profit - cost ratio, etc., information on the use of materials and labor inputs; and other related socio-economic variables including information on new production technologies.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Seaweed farm operators and seaweed farms with harvests during the reference period as the units of analysis

    Version

    Version Description

    v01_M - Data edited at the Central Office, anonymized dataset for public distribution.

    Version Date

    2009-01

    Scope

    Notes

    The survey focused on generating costs and returns structure of seaweed production

    The scope of the survey included the following:

    CHARACTERISTICS OF THE SEAWEED FARM OPERATORS such as age, sex, main occupation, experience in seaweed production and educational attainment.

    CHARACTERISTICS OF SEAWEED FARMS such as average number of farms per operator, farm size, area of focus farm, area harvested by variety, inventory of farm investments.

    FARM PRACTICES such as number of croppings, variety planted, culture method, source of seedlings, month of planting and harvesting, usage and cost of planting materials, hing materials, insecticides, herbicides/weedicides, fungicides and other chemicals.

    INPUT USAGE such as quantity and cost of seedlings used, labor utilization (in terms of mandays) by type of farming activity, labor cost, source of labor and food cost incurred.

    OTHER PRODUCTION COSTS such as cash and non-cash payments for salaries of employees and caretakers, cooperative fees, rentals of machine and tools, fuel and oil, transport costs of inputs, license, interest payment on crop loans and other production costs.

    PRODUCTION AND DISPOSITION such as volume of seaweed production and its disposition in terms of sold, harvesters' share, other laborers' share, for home consumption, given away, wastage and other purposes.

    BUYER INFORMATION such as major buyer of produce and the percentage of produce sold to each buyer.

    PROBLEMS ENCOUNTERED such as problems affecting production and marketing of seaweeds.

    ACCESS TO CREDIT such as amount and source of loan and interest rate per annum.

    OTHER INFORMATION such as membership in seaweed related associations and benefits derived, access to extension services, future plans of seaweed farmers and their recommendations to improve seaweed industry.

    Topics
    Topic Vocabulary
    Food (production, crisis) World Bank

    Coverage

    Geographic Coverage

    The survey was conducted in five (5) provinces, namely; Palawan, Bohol, Zamboanga Sibugay, Maguindanao and Tawi-Tawi.

    Geographic Unit

    Barangay was the lowest level of geographic aggregtion covered by the data.

    Universe

    The survey covered all seaweed farms with harvest during the last completed production cycle in 2007

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Bureau of Agricultural Statistics Department of Agriculture
    Funding Agency/Sponsor
    Name Role
    Bureau of Fisheries and Aquatic Resources Funding Source
    Other Identifications/Acknowledgments
    Name Role
    National Statistical Coordination Board Survey clearance

    Sampling

    Sampling Procedure

    Sampling Design, Sample Size and Sample Selection Procedure

    A two-stage sampling design was employed with the barangay as the primary sampling unit and seaweed farm operator as the secondary sampling unit. The list of seaweed producing barangays which was generated through the Aquaculture Farms Inventory was used as the sampling frame. The sample barangays were drawn using simple random sampling from the list of barangays with at least 90 percent cumulative share of seaweed harvested area and with more than five seaweed operators. Ten (10) barangays were drawn from each province except for Maguindanao, which has less than ten seaweed producing barangays. In this case, all barangays were covered by the survey.
    The number of sample seaweed operators was proportionately allocated to the number of operators in the sample barangay. In each sample barangay, sample seaweed farm operators were identified using snowball sampling approach. Names and addresses of seaweed operators living in the barangay were obtained from the barangay council or from seaweed farmers association. From this list, the enumerator selected a seaweed farm operator at random. A set of screening questions was asked from the operator to determine if he/she met the criteria set for the survey. Whether the operator was qualified or not, he/she would then be asked to recommend others who they thought could qualify as survey respondents. From these names, the enumerator again selected a seaweed farm operator as the second potential sample for the survey. The process continued until the required number of samples was attained.

    The survey was able to enumerate the following sample seaweed farm operators by province and variety planted.

    Palawan
    COTTONII 71
    Bohol
    COTTONII 51
    SPINOSUM 24
    Zamboanga Sibugay
    COTTONII 30
    ALVAREZII 20
    Maguindanao
    COTTONII 50
    Tawi-Tawi
    COTTONII 49
    ALVAREZII 1

    Response Rate

    Response rate of 98.67%

    Weighting

    Weighting is not applicable.

    Survey instrument

    Questionnaires

    The questionnaire was a structured questionnaire written in English. It was designed in tabular form and some in question type format.

    The questionnaire consisted of 8 pages covering 13 blocks as follows:

    A. GEOGRAPHIC INFORMATION includes the location of the seaweed farm such as the name of the region, province, city/municipality and barangay.

    B. SAMPLE IDENTIFICATION such as the name, age, sex, highest educational attainment, main occupation and seaweed farming experience of the sample farmer/operator and the name of the respondent.

    C. FARM CHARACTERISTICS such as area of seaweed farm, variety planted, culture method, loaction of seaweed farm, month of planting and harvesting, number of croppings and harvests.

    D. FARM INVESTMENTS such as inventory of farm investments used, year and cost of acquisition, repairs and improvement cost and estimated life and usage in the focus farm.

    E. MATERIAL INPUTS AND SUPPLIES contain the quantity and cost of material inputs used.

    F. LABOR INPUTS such as labor utilization (in terms of mandays) and labor cost by type of farming activity, by source of labor and by sex and food cost incurred.

    G. OTHER PRODUCTION COSTS cover cash and non-cash payments for salaries of employees abd caretakers, cooperative fees, rentals of machine and tools, fuel and oil, transport costs of inputs, license, interest payment on crop loan and other production costs.

    H. PRODUCTION AND DISPOSITION such as volume of seaweed production (fresh or dry) and its disposition in terms of sold, harvesters' share, caretakers' share, other laborers' share, for home consumption, given away, used for seedlings, wastage and other purposes.

    I. BUYER INFORMATION includes the major buyer of seaweeds and the percentage of seaweed sold to each buyer.

    J. PROBLEMS ENCOUNTERED such as problems affecting production and marketing of seaweeds.

    K. ACCESS TO CREDIT such as the amount and source of loan and interest rate per annum.

    L. OTHER INFORMATION such as membership in seaweed-related association and benefits derived, access to extension services, future plans and recommendations to improve seaweed industry.

    M. INTERVIEW/SURVEY PARTICULARS contain the name and signature of interviewer, field supervisor/editor and PASO and date accomplished.

    Data collection

    Dates of Data Collection
    Start End
    2008-03-04 2008-03-20
    Time periods
    Start date End date Cycle
    2007-01-01 2007-12-31 Last completed production cycle in 2007
    Data Collectors
    Name Affiliation
    Bureau of Agricultural Statistics Department of Agriculture
    Supervision

    The Provincial Agricultural Statistics Officers (PASOs) and Assistant Provincial Agricultural Statistics Officers (APASOs) acted as overall supervisors in the provinces. As an immediate supervisors, they should see to it that the survey operation ran smoothly and within the target schedule. They conducted spot checking and backchecking, review of completed and edited questionnaires before submitting to the Central Office. A report on field data collection was prepared and sent by the POC to the Central Office.

    The Regional Agricultural Statistics Officers (RASOs) were responsible for the monitoring and supervision of the survey operations in all the provinces within the region. The Statistical Operations Coordination Division (SOCD) at the Central Office monitored and coordinated the field operations.

    Data Collection Notes

    The questionnaire was pre-tested in Zambales from February 13-15, 2008. On the average, the interview session took 15-20 minutes. After the pre-test, the questionnaire and the manual of operation were reviewed and finalized. Prior to the field data collection, training was undertaken to ensure that the concepts and procedures were correctly understood. The trainers' training was attended by selected BAS Central Office (CO) staff who became trainors at the BAS- Provincial Operations Center (POC) participated by the RASO, PASO and field staff. The field training included the conduct of mock interview, dry-run exercises, discussion of problems and issues and editing procedures. The BAS CO Staff who served as the trainors supervised the initial data collection activity of the POC staff. Upon return to the BAS Central Office, the BAS CO trainors prepared and submitted travel reports containing the activities done in the field (province) as well as the issues/problems encountered and their recommendations.

    The field data collection was undertaken by the POC staff through personal interview of the sample farmers who passed the requirements of the survey using the set of screening questions. The interview was conducted in the local dialect of the province. Before the data collection, courtesy call to the barangay officials was done to get permission for the conduct of the survey in the barangay and explain the purpose of such activity.

    Problems and issues encountered during field data collection were relayed to the BAS CO Staff or management for their information and action. The POC also submitted to the Central Office a narrative report regarding the conduct of the survey.

    Data processing

    Data Editing

    Manual editing was initially done at the Provincial Operations Center during and after data collection using the CRS editing guidelines prepared by the Central Office. The edited questionnaires were again checked at the Central Office. Coding and encoding were likewise done at the Central Office.

    Refer to Technical Documents for the Editing Guidelines.

    Data appraisal

    Estimates of Sampling Error

    Not applicable.

    Data Appraisal

    The quality of the survey results were reviewed in terms of reliability and acceptability. A comparison with other related reference materials on input usage, labor utilization, production cost and return structure of seaweed was done.

    Data Access

    Access authority
    Name Affiliation URL Email
    Director Bureau of Agricultural Statistics http://beans.bas.gov.ph, info@bas.gov.ph
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes 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.
    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, Costs and Returns Survey of Seaweed Production, Version 3.0 of the licensed dataset 2007, 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 [2007] © Bureau of Agricultural Statistics, All rights reserved.

    Contacts

    Contacts
    Name Affiliation Email
    Chief, Agricultural Accounts and Statistical Indicators Division Bureau of Agricultural Statistics aasid@bas.gov.ph
    Chief, Information and Communications Technology Division Bureau of Agricultural Statistics ictd@bas.gov.ph

    Metadata production

    DDI Document ID

    DDI_PHL_2007_CRSSP_v01_M

    Producers
    Name Affiliation Role
    Maria Carol Duran Bureau of Agricultural Statistics (BAS) Documenter of the study
    Ana M. Eusebio Bureau of Agricultural Statistics (BAS) Reviewer of the study
    Maura S. Lizarondo Bureau of Agricultural Statistics (BAS) Reviewer of the study
    Accelerated Data Program International Household Survey Network Editing for the IHSN Survey Catalog
    Date of Metadata Production

    2010-03-22

    Metadata version

    DDI Document version

    Version 01: Adopted from "DDI_PHL_2007_CRSSP_v2_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.

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