Support Program for Rural Development in the Guéra, IFAD Impact Assessment Surveys, 2018.
Chad, 2017 - 2018
IFAD, Government of Chad
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Identification
Survey ID Number
TCD_2018_PADERG-IIAS_v01_EN_M_v01_A_OCS
Title
Support Program for Rural Development in the Guéra, IFAD Impact Assessment Surveys, 2018.
Country
| Name | Country code |
|---|---|
| Chad | TCD |
Abstract
Smallholder farmers in developing countries often lack appropriate cereal storage facilities which can contribute to food insecurity and low cereal commercialization, particularly when they can only rely on one cropping season with no irrigation. Lack of quality storage can lead to post-harvest losses (Abass et al, 2014; Sheahan and Barrett, 2017) and often compels smallholder farmers to sell their crops soon after harvest, when crop prices are at their seasonal lowest, only for them to buy grain for consumption during the lean season, when prices are high (Kadjo et al, 2018; Aggarwal et al, 2018; Stephens and Barrett, 2011). In many instances, such farmers need food assistance to survive the lean season and in other cases, they may have to borrow money at usurious rates in order to purchase food. This was the case in Guéra Region of Chad, a semi-arid area that frequently experiences droughts and dry spells in ways that severely reduce crop production and rural households’ food security.
To address these issues, the IFAD-funded Programme d'Appui au Développement Rural dans le Guéra (PADER-G) project was implemented with the main objective of supporting poor rural households and smallholder farmers in Guéra, Chad to improve their food security and livelihoods. One specific aim of PADER-G, designed to manage risks of food shortage, was to improve cereal storage among smallholder farmers through the construction of community cereal banks (banque de céréales). This main element of the project was complemented with the establishment of community committees (Comité de gestion des banques de soudure – COGES) which were trained on effective management of the cereal banks.
This data refer to the ex-post impact assessment of the PADER-G community cereal banks intervention. The impact assessment employed various methods, which proved robust across a number of estimated impacts. The inverse-probability-weighted matching techniques on household data collected from villages that benefited from the community cereal banks (the treatment) and villages that did not benefit from the PADER-G cereal banks (the control) were used for the main report, however additional results are available in the appendix. The inverse-probability-weighted regression-adjustment (IPWRA) and other variants of matching techniques were used to assess the impact of PADER-G cereal bank interventions on several outcome and impact indicators, including household income, assets, food security, dietary diversity and resilience indicators. Other similar estimators used to check for consistency of results include the augmented inverse-probability-weighting (AIPW) and entropy balancing methods.
The PADER-G cereal banks intervention was selected as an ex-post impact assessments to be part of the IFAD10 Impact Assessment Agenda (IFAD10 IAA) that consists of a broader set of impact assessments across the world. The aim of IFAD10 IAA is to generate evidence and provide lessons for better rural poverty reduction programmes and to measure the impact of IFAD-supported programmes on enhancing rural people's economic mobility, increased agricultural productive capacity, improved market participation and increased resilience. In undertaking this impact assessment, IFAD endeavours to fill key knowledge gaps on the impacts of community cereal banks in rural areas of developing countries, an intervention that has received less attention from impact evaluators.
For more information, please, click on the following link <https://www.ifad.org/en/web/knowledge/-/publication/impact-assessment-rural-development-support-programme-in-guera> .
To address these issues, the IFAD-funded Programme d'Appui au Développement Rural dans le Guéra (PADER-G) project was implemented with the main objective of supporting poor rural households and smallholder farmers in Guéra, Chad to improve their food security and livelihoods. One specific aim of PADER-G, designed to manage risks of food shortage, was to improve cereal storage among smallholder farmers through the construction of community cereal banks (banque de céréales). This main element of the project was complemented with the establishment of community committees (Comité de gestion des banques de soudure – COGES) which were trained on effective management of the cereal banks.
This data refer to the ex-post impact assessment of the PADER-G community cereal banks intervention. The impact assessment employed various methods, which proved robust across a number of estimated impacts. The inverse-probability-weighted matching techniques on household data collected from villages that benefited from the community cereal banks (the treatment) and villages that did not benefit from the PADER-G cereal banks (the control) were used for the main report, however additional results are available in the appendix. The inverse-probability-weighted regression-adjustment (IPWRA) and other variants of matching techniques were used to assess the impact of PADER-G cereal bank interventions on several outcome and impact indicators, including household income, assets, food security, dietary diversity and resilience indicators. Other similar estimators used to check for consistency of results include the augmented inverse-probability-weighting (AIPW) and entropy balancing methods.
The PADER-G cereal banks intervention was selected as an ex-post impact assessments to be part of the IFAD10 Impact Assessment Agenda (IFAD10 IAA) that consists of a broader set of impact assessments across the world. The aim of IFAD10 IAA is to generate evidence and provide lessons for better rural poverty reduction programmes and to measure the impact of IFAD-supported programmes on enhancing rural people's economic mobility, increased agricultural productive capacity, improved market participation and increased resilience. In undertaking this impact assessment, IFAD endeavours to fill key knowledge gaps on the impacts of community cereal banks in rural areas of developing countries, an intervention that has received less attention from impact evaluators.
For more information, please, click on the following link <https://www.ifad.org/en/web/knowledge/-/publication/impact-assessment-rural-development-support-programme-in-guera> .
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The household data collected consisted of variables on:
- food consumption,
- food insecurity experience scale
- agricultural production
- land parcel sizes and crop output
- sociodemographic characteristics,
- seasonal migration,
- off-farm labour participation,
- women's empowerment,
- asset ownership,
- storage practices,
- experience of shocks and subjective measures of resilience thereof,
- access to credit,
- receipt of external support from various sources.
- food consumption,
- food insecurity experience scale
- agricultural production
- land parcel sizes and crop output
- sociodemographic characteristics,
- seasonal migration,
- off-farm labour participation,
- women's empowerment,
- asset ownership,
- storage practices,
- experience of shocks and subjective measures of resilience thereof,
- access to credit,
- receipt of external support from various sources.
Coverage
Geographic Coverage
Regional level.
Universe
All rural households in Guera region of Chad.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| IFAD | United Nations |
| Government of Chad |
Producers
| Name | Role |
|---|---|
| CIBLE Études & Conseil | Data Collection |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| International Fund for Agricultural Development | IFAD |
Sampling
Sampling Procedure
For details on the sampling methodology, you can consult the impact assessment plan and report in the documentation section.
Weighting
No weighting.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017-11 | 2018-09 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Questionnaires
Questionnaires
Note: some variables may have missing labels. Please, refer to the questionnaire for more details.
Data Processing
Other Processing
The data was further anonymized by the Office of Chief Statistician in FAO, using Statistical Disclosure 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.
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_TCD_2018_PADERG-IIAS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | FAO | Metadata producer |
DDI Document version
TCD_2018_PADERG-IIAS_v01_EN_M_v01_A_OCS_v01