Enquête de Ménage pour la Mise en Place du Système de Récépissé d'Entrepôt de Marchandise au Sénégal 2018-2019
Warehouse Receipt Financing Systems (WRS) are financial arrangements which allow farmers to store their agricultural production in a certified warehouse in exchange for a warehousing receipt that can serve as a collateral for receiving credit in a formal financial institution (bank or micro-finance institution). WRS have received increasing attention in recent years as a way to release capital constraints for farmers during the post-harvest period and allow them to take advantage of potential price arbitrage opportunities, while reducing post-harvest losses, and thereby increasing farm income. Given the limited available evidence on the effectiveness of WRS, we embedded an experimental impact evaluation study in a pilot WRS project in the Senegal rice sector, to shed light on how smallholder farmers might benefit. In a sample of 1079 rice producers, of which 363 were offered access to a WRS, we observed a very low take-up (2%), which compromised the opportunity to uncover the impacts of WRS. We therefore focus on the reasons for non participation and find that large transaction costs, limited availability of marketable surplus, and limited market arbitrage opportunities in the rice sector, have reduced the potential benefits from participation and affected farmers' decision to use the WRS. The findings suggest that the implementation of effective WRS warrants a careful consideration of costs factors and expected price arbitrage opportunities to ensure farmers would benefit.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individual farmers belonging to farmers' organizations (PO)
Region of Saint louis, Dagana Department, Low and Middle Delta
Producers and sponsors
Guigonan Serge Adjognon
World Bank Group
Paris School of Economics
World Bank Group
World Bank Group
Trust Fund i2i
The study is based on a Randomized Controlled Trial (RCT) methodology. A sample of 1123 rice farmers was identified from a listing procedure. All the 1123 were included in the sample and were then randomly assigned to a specific group.
In the first stage, listed POs were randomly assigned to treatment and control groups. The control group received no intervention which means that the individuals members of those groups were pure control farmers. Meanwhile, in the treatment group, farmers inside each PO were assigned (randomly) to full treatment and contamination groups. The full treatment farmers were officially offered the opportunity to bring their rice to the designated warehouse in exchange for a receipt, while farmers in the contamination groups belong to the same POs as the treatment farmers but were not allowed to bring their products to the warehouse. The contamination groups are primarily useful for capturing within POs spillover effects from the treatment.
7 rounds of interview took place: 1 registration form, 5 high frequency data (hfd) surveys, 1 endline survey.
Between 100 and 90% according to the phases
- first interview of high frequency data survey: 100%
- second interview: 96.02%
- third interview: 89.9%
- fourth interview: 92.4%
- fifth interview: 95.88%
- endline: 96.67%
Dates of Data Collection
Registration and listing of sample.
First round of high frequency data survey
First round of high frequency data survey - Second part
Second round of high frequency data survey
Third round of high frequency data survey
Fourth round of high frequency data survey
Fifth round of high frequency data survey
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collection Notes
The data collection happened in a phased-in way according to the moment when the farmers were done with their harvest. For instance, while everyone has been registered at the same moment, some producer got interviewed for the first round of high frequency data in July and other in September. A pre-condition for being interviewed in hfd was to have completed harvest of at least a plot of rice for the concerned agricultural season
7 questionnaires are provided, one per round of data collection.
Data have been cleaned, deidentified and labelled before sharing. Cleanings are based on corrections identified by the survey firm and the impact evaluation team after high frequency checks have been running.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download.
The World Bank. Senegal Warehouse Receipt System (WRS) 2018-2019. Ref. SEN_2018-2019_WRS_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector 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.