Irrigated Rice Production Enhancement Project, IFAD Impact Assessment Surveys, 2017
Philippines, 2017
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Reference ID
PHL_2017_IRPEP-IIAS_v01_EN_M_v01_A_OCS
Producer(s)
International Fund for Agricultural Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture, Philippines Department of Agriculture,
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Metadata
Created on
May 24, 2022
Last modified
Jun 13, 2022
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Identification
Survey ID Number
PHL_2017_IRPEP-IIAS_v01_EN_M_v01_A_OCS
Title
Irrigated Rice Production Enhancement Project, IFAD Impact Assessment Surveys, 2017
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Abstract
Smallholder rice farming is central to poverty reduction, food security, and rural development in the Philippines. One key issue is that around 41 percent of the country's irrigable land is not irrigated. Moreover, many irrigation systems are suggested to be poorly managed with unequal water distribution.
The Irrigated Rice Production Enhancement Project (IRPEP) was implemented in three regions (VI, VII and X) of the Philippines, between 2010-2015. It was designed to improve rice productivity and smallholder livelihoods by strengthening canal irrigation infrastructure of Communal Irrigation Systems (CIS), improving the capacity of the Irrigators' Associations (IAs) that manage the CIS, and offering complementary marketing support, Farmer Field Schools, and emergency seed buffer stocks.
The data collected are used to test the effectiveness of the 5-year Irrigated Rice Production Enhancement Project to improve the livelihoods of smallholder rice farmers in the Philippines.
For more information, please, click on the following link <https://www.ifad.org/en/web/knowledge/-/publication/impact-assessment-irrigated-rice-production-enhancement-project>.
The Irrigated Rice Production Enhancement Project (IRPEP) was implemented in three regions (VI, VII and X) of the Philippines, between 2010-2015. It was designed to improve rice productivity and smallholder livelihoods by strengthening canal irrigation infrastructure of Communal Irrigation Systems (CIS), improving the capacity of the Irrigators' Associations (IAs) that manage the CIS, and offering complementary marketing support, Farmer Field Schools, and emergency seed buffer stocks.
The data collected are used to test the effectiveness of the 5-year Irrigated Rice Production Enhancement Project to improve the livelihoods of smallholder rice farmers in the Philippines.
For more information, please, click on the following link <https://www.ifad.org/en/web/knowledge/-/publication/impact-assessment-irrigated-rice-production-enhancement-project>.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The subjects covered by the survey are the following:
- socio-demographic characteristics
- land ownership and use
- market access
- income from wage labour activities
- household assets
- transfers and othe sources of income
- food consumption
- food security
- shock exposure
- credit access
- support received and social capital.
- socio-demographic characteristics
- land ownership and use
- market access
- income from wage labour activities
- household assets
- transfers and othe sources of income
- food consumption
- food security
- shock exposure
- credit access
- support received and social capital.
Coverage
Geographic Coverage
Rural coverage. Sample covers six provinces of the Philippines across three regions (Region VI, VIII, X).
Universe
Smallholder farmer households
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| International Fund for Agricultural Development | United Nations |
| Southeast Asian Regional Center for Graduate Study and Research in Agriculture | SEAMEO-SEARCA research institute |
| Philippines Department of Agriculture | Government of Philippines |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| International Fund for Agricultural Development | IFAD | Funding |
| European Union | EU | Funding |
| Government of Philippines | GoP | Funding |
Sampling
Sampling Procedure
The analysis is based on quantitative data from 2,104 households and 113 IAs covering beneficiary and non-beneficiary groups, along with qualitative data from project and IA staff. The IRPEP's impact is estimated by comparing beneficiary and nonbeneficiary households and IAs using statistical matching techniques to ensure a clean and unbiased comparison. This process resulted in a household dataset used for analysis that covers 1,015 treatment and 664 control households, and an IA dataset used to assess impact on IA level indicators from 58 treatment and 55 control IAs.
To identify a well-matched set of treatment and control CISs and households, the sample selection for the impact assessment sought to mirror IRPEP's beneficiary selection process by initially conducting the identification at the CIS level. At the start of the process there were a number of non- beneficiary CIS in the project provinces, allowing for control CIS to be selected from within the same provinces. Using these IRPEP and non-IRPEP CIS, a two-stage process was used to select the final set of treatment and control CIS. This involved both data analysis and the knowledge of local staff.
To identify a well-matched set of treatment and control CISs and households, the sample selection for the impact assessment sought to mirror IRPEP's beneficiary selection process by initially conducting the identification at the CIS level. At the start of the process there were a number of non- beneficiary CIS in the project provinces, allowing for control CIS to be selected from within the same provinces. Using these IRPEP and non-IRPEP CIS, a two-stage process was used to select the final set of treatment and control CIS. This involved both data analysis and the knowledge of local staff.
Weighting
No weighting.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017 | 2017 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Questionnaires
Questionnaires
The household and IA questionnaires collected a wide range of information, which was then used to create the impact indicators and other variables to be used in the data analysis. The household questionnaire included detailed questions on agricultural production and marketing collected by season, parcel and crop for the previous 12 months, as well as socio-demographic characteristics, other income generating activities, asset ownership, experience of shocks, access to credit, and receipt of external support from various sources. The IA questionnaire gathered information on their structure and facilities, irrigation water coverage, gender differentiated membership, and income and expenditures over the past 12 months, including irrigation fee collection and operation and maintenance spending.
Note: some variables have missing labels. Please, refer to the questionnaire for more details.
Note: some variables have missing labels. Please, refer to the questionnaire for more details.
Data Processing
Other Processing
The datasets were anonymized, by the FAO Office of Chief Statistician, using Statistical Disclosure Control methods.
Access policy
Confidentiality
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO
Access conditions
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
Citation requirements
The use of the dataset should be referenced in any publication, using the following citation:
International Fund for Agricultural Development. Irrigated Rice Production Enhancement Project, IFAD Impact Assessment Surveys, Phillippines, 2017. Dataset downloaded from https://microdata.fao.org.
International Fund for Agricultural Development. Irrigated Rice Production Enhancement Project, IFAD Impact Assessment Surveys, Phillippines, 2017. Dataset downloaded from https://microdata.fao.org.
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Metadata production
DDI Document ID
DDI_PHL_2017_IRPEP-IIAS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata producer |
DDI Document version
PHL_2017_IRPEP-IIAS_v01_EN_M_v01_A_OCS_v01