Survey on Costs and Returns of Cassava Production 2014
Philippines, 2014
Reference ID
PHL-PSA-CRS-CASSAVA-2014-v.3
Producer(s)
Philippine Statistics Authority
Collection(s)
Metadata
Created on
Sep 14, 2021
Last modified
Sep 14, 2021
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Identification
Survey on Costs and Returns of Cassava Production 2014
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-CRS-CASSAVA-2014-v.3
The survey aimed to generate updated data on levels and structure of production costs and returns. Specifically, it was conducted to detemine the indicators of profitability such as gross and net returns, returns above cash costs, net profit - cost ratio, etc.; usage of materials and labor inputs; and other related socio-economic variables including information on new production technologies.
Sample survey data [ssd]
Sample farmers who harvested cassava within the reference period and knowledgeable on the details of cassava farming particularly on investments, material inputs, labor expenses incurred and disposition of produce were the units of analysis of the survey.
Version
V.3: Public Use File
2014-10
Scope
Topic | Vocabulary | URI |
---|---|---|
Agriculture, forestry, fisheries | Philippine Statistics Authority | |
Business and agricultural surveys | Philippine Statistics Authority |
Coverage
The survey covered six (6) cassava producing provinces namely: Camarines Sur, Bohol, Bukidnon, Basilan, Lanao Del Sur and Sulu.
Sample farmers who harvested cassava within the reference period and knowledgeable on the details of cassava farming particularly on investments, material inputs, labor expenses incurred and disposition of produce were the units of analysis of the survey.
The survey covered farmers who harvested cassava within the reference period and knowledgeable on the details of cassava farming particularly on investments, material inputs, labor expenses incurred and disposition of produce. The reference period was the production for the last completed harvest within April 2013 to March 2014.
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
-- Department of Agriculture | DA | Survey operations |
-- Philippine Statistics Authority | PSA | All other expenses |
Sampling
A two-stage sampling design is employed with the barangay as the primary sampling unit and the sample farmer as the secondary sampling unit.
Top fifteen (15) cassava producing barangays in the province will serve as sample barangays for the survey. These were identified by the Provincial Operations Center (POCs) using the available information on cassava production. The ranking is based on the barangay's total area harvested for cassava during 2013. During data collection, snowball approach will be applied to identify the sample farmers.
The total number of sample farmers per province is set at seventy-five (75) equally allocated to each sample barangays i.e., five (5) sample farmers for each sample barangay. During data collection, sample farmers will be located using snowball sampling. The names and addresses of cassava farmers residing in the barangay will be obtained from the office of the barangay captain or any other Key Informants (KIs) in the barangay. This will serve as the data collector's starting point in searching for potential sample farmers.
A set of screening questions will be applied to confirm if those listed actually harvested cassava during the reference period and meet the other criteria for enumeration.
Whether the interviewed farmer is qualified or not, he/she will be asked to identify other cassava farmers in the barangay to be added in the initial list. The search continues, and the farmer who meets the criteria specified in the screening questions qualifies as sample for the survey and will be interviewed using the 2014 CRS for Cassava Production questionnaire. If the interview is successfully carried out (meaning, all the needed information have been supplied), the enumerator will write the household number, full name and residential address of the sample farmer in the List of Sample Farmers. Again, the enumerator can select any farmer from the list as the next potential sample for the survey. The process continues until the required number of samples in the barangay is covered.
Top fifteen (15) cassava producing barangays in the province will serve as sample barangays for the survey. These were identified by the Provincial Operations Center (POCs) using the available information on cassava production. The ranking is based on the barangay's total area harvested for cassava during 2013. During data collection, snowball approach will be applied to identify the sample farmers.
The total number of sample farmers per province is set at seventy-five (75) equally allocated to each sample barangays i.e., five (5) sample farmers for each sample barangay. During data collection, sample farmers will be located using snowball sampling. The names and addresses of cassava farmers residing in the barangay will be obtained from the office of the barangay captain or any other Key Informants (KIs) in the barangay. This will serve as the data collector's starting point in searching for potential sample farmers.
A set of screening questions will be applied to confirm if those listed actually harvested cassava during the reference period and meet the other criteria for enumeration.
Whether the interviewed farmer is qualified or not, he/she will be asked to identify other cassava farmers in the barangay to be added in the initial list. The search continues, and the farmer who meets the criteria specified in the screening questions qualifies as sample for the survey and will be interviewed using the 2014 CRS for Cassava Production questionnaire. If the interview is successfully carried out (meaning, all the needed information have been supplied), the enumerator will write the household number, full name and residential address of the sample farmer in the List of Sample Farmers. Again, the enumerator can select any farmer from the list as the next potential sample for the survey. The process continues until the required number of samples in the barangay is covered.
Response rate of 100 percent
Data Collection
Start | End | Cycle |
---|---|---|
2014-03-29 | 2014-04-18 |
Start | End | Cycle |
---|---|---|
2013-04-01 | 2014-03-31 |
Face-to-face [f2f]
The provincial office staff were responsible for the supervision of the survey operations. Among the tasks carried out by field supervisors were the conduct of spot checking during data collection to monitor the data collectors' work, back-checking the work of CDCs after data collection and the preparation of field supervision report.
The questionnaire was a structured questionnaire written in English. It was designed in tabular form and some in question type format. The data items/variables in the questionnaire were based on the previous questionnaires with some modifications and additions.
The questionnaire was pre-tested and reviewed before its implementation.
The questionnaire consisted of 10 pages covering 15 blocks as follows:
A. GEOGRAPHIC INFORMATION includes the location of the farm such as the name of the region, province, city/municipality and barangay.
B. SAMPLE IDENTIFICATION such as the name, age, sex,level of education completed, main occupation, number of years engaged in cassava farming (as operator), name of respondent and its classification, contact number
C. BASIC CHARACTERISTICS OF THE FARM such as total physical area, number of parcels operated by the farmer, area planted and harvested to cassava, cropping pattern, number of croppings per year, variety of cassava planted, tenurial status, month of planting and harvesting cassava, main use of cassava and source of planting materials,
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 cassava farm.
E. MATERIAL INPUTS contain the quantity, cost and mode of acquisition of planting materials, fertilizers, soil ameliorants and pesticides.
F. LABOR INPUTS such as labor utilization (in terms of mandays) and labor cost by type of farming activity and by source and type of labor and food cost incurred.
G. OTHER PRODUCTION COSTS cover cash and non-cash payments for land tax, land lease/rental, rental value of owned land, rentals of machine, animals and tools and equipment, fuel and oil, transport costs of inputs, electricity and water, interest payment on crop loans, storage cost and other production costs.
H. PRODUCTION AND DISPOSITION such as volume of the produce and its disposition in the form of cassava roots and planting materials terms of sold, harvesters' share, threshers' share, other laborers' share, landowners' share, lease rental, for home consumption and home-based processing, given away, used for seeds and feeds, wastage and other purposes.
I. PRODUCTION-RELATED INFORMATION such as problems affecting cassava production and comparison of production during the reference period with the same period of last year and the reasons for such changes.
J. MARKETING RELATED INFOMATION includes the major buyer of cassava and problems related to marketing of the produce.
K. ACCESS TO CREDIT such as the amount and source of crop loan and interest rate per annum
L. FARMER'S PARTICIPATION IN CASSAVA PROGRAMS/PROJECTS such as awareness in government program/intervention on cassava and benefits gained
M. OTHER INFORMATION such as the effect of climate change on farming practices and the practice of natural faming method and membership and name of cassava farmers' organization and benefits derived
N. PLANS AND RECOMMENDATIONS includes plans and recommendations to improve cassava production
O. INTERVIEW PARTICULARS contain the name and signature of contractual data collector, field supervisor/editor and PSO and date accomplished.
The questionnaire is provided as a Related Material.
The questionnaire was pre-tested and reviewed before its implementation.
The questionnaire consisted of 10 pages covering 15 blocks as follows:
A. GEOGRAPHIC INFORMATION includes the location of the farm such as the name of the region, province, city/municipality and barangay.
B. SAMPLE IDENTIFICATION such as the name, age, sex,level of education completed, main occupation, number of years engaged in cassava farming (as operator), name of respondent and its classification, contact number
C. BASIC CHARACTERISTICS OF THE FARM such as total physical area, number of parcels operated by the farmer, area planted and harvested to cassava, cropping pattern, number of croppings per year, variety of cassava planted, tenurial status, month of planting and harvesting cassava, main use of cassava and source of planting materials,
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 cassava farm.
E. MATERIAL INPUTS contain the quantity, cost and mode of acquisition of planting materials, fertilizers, soil ameliorants and pesticides.
F. LABOR INPUTS such as labor utilization (in terms of mandays) and labor cost by type of farming activity and by source and type of labor and food cost incurred.
G. OTHER PRODUCTION COSTS cover cash and non-cash payments for land tax, land lease/rental, rental value of owned land, rentals of machine, animals and tools and equipment, fuel and oil, transport costs of inputs, electricity and water, interest payment on crop loans, storage cost and other production costs.
H. PRODUCTION AND DISPOSITION such as volume of the produce and its disposition in the form of cassava roots and planting materials terms of sold, harvesters' share, threshers' share, other laborers' share, landowners' share, lease rental, for home consumption and home-based processing, given away, used for seeds and feeds, wastage and other purposes.
I. PRODUCTION-RELATED INFORMATION such as problems affecting cassava production and comparison of production during the reference period with the same period of last year and the reasons for such changes.
J. MARKETING RELATED INFOMATION includes the major buyer of cassava and problems related to marketing of the produce.
K. ACCESS TO CREDIT such as the amount and source of crop loan and interest rate per annum
L. FARMER'S PARTICIPATION IN CASSAVA PROGRAMS/PROJECTS such as awareness in government program/intervention on cassava and benefits gained
M. OTHER INFORMATION such as the effect of climate change on farming practices and the practice of natural faming method and membership and name of cassava farmers' organization and benefits derived
N. PLANS AND RECOMMENDATIONS includes plans and recommendations to improve cassava production
O. INTERVIEW PARTICULARS contain the name and signature of contractual data collector, field supervisor/editor and PSO and date accomplished.
The questionnaire is provided as a Related Material.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Editing and coding of survey returns were done at the provincial offices upon submission of the accomplished questionnaires by the CDCs. These activities were undertaken to ensure the quality of data that were collected.
The document on Editing Guidelines is provided as a Related Material.
The document on Editing Guidelines is provided as a Related Material.
Data Appraisal
Series of reviews were done to assess the quality of the data in terms of reliability and acceptability. A comparison with the results of past surveys on input usage, labor utilization, production cost and return structure of cassava was made.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
Philippine Statistics Authority, Costs and Returns of Cassava Production 2014, Version 3 of the public use dataset, provided by the PSA Data Archive. www.psa.gov.ph/psada
Disclaimer and copyrights
The data users/researchers acknowledge that the PSA 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.
(c) 2014, Philippine Statistics Authority
contacts
Name | Affiliation | URI | |
---|---|---|---|
Chief, Agricultural Accounts Division | Philippine Statistics Authority | aad.staff@psa.gov.ph | www.psa.gov.ph |
Chief, Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |