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Warehouse Receipt System 2018-2019

Senegal, 2018 - 2019
Reference ID
SEN_2018-2019_WRS_v01_M
Producer(s)
Guigonan Serge Adjognon, Victor Pouliquen
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
83131
Downloads
847
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Metadata production
  • Identification

    Survey ID number

    SEN_2018-2019_WRS_v01_M

    Title

    Warehouse Receipt System 2018-2019

    Translated Title

    Enquête de Ménage pour la Mise en Place du Système de Récépissé d'Entrepôt de Marchandise au Sénégal 2018-2019

    Country
    Name Country code
    Senegal SEN
    Study type

    Agricultural Survey

    Abstract

    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)

    Version

    Version Description

    V1

    Coverage

    Geographic Coverage

    Region of Saint louis, Dagana Department, Low and Middle Delta

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Guigonan Serge Adjognon World Bank Group
    Victor Pouliquen Paris School of Economics
    Producers
    Name Affiliation Role
    Jonas Guthoff World Bank Group Research Assistant
    Aram Gassama World Bank Group Field Coordinator
    Funding Agency/Sponsor
    Name
    Trust Fund i2i
    PDP IFC

    Sampling

    Sampling Procedure

    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.

    Response Rate

    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%

    Survey instrument

    Questionnaires

    7 questionnaires are provided, one per round of data collection.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2018/06/08 2018/06/13 Registration and listing of sample.
    2018/07/23 2018/08/01 First round of high frequency data survey
    2018/09/14 2018/09/23 First round of high frequency data survey - Second part
    2018/10/05 2018/10/14 Second round of high frequency data survey
    2018/11/05 2018/10/14 Third round of high frequency data survey
    2018/12/05 2018/12/14 Fourth round of high frequency data survey
    2018/12/27 2019/01/07 Fifth round of high frequency data survey
    2019/01/25 2019/02/21 Endline Survey
    Data Collectors
    Name
    CRDES
    Supervision

    DIME team

    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

    Data processing

    Data Editing

    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.

    Depositor information

    Depositor
    Name Affiliation
    Aram Gassama World Bank

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required?
    yes
    Citation requirements

    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.

    Example:

    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

    Disclaimer

    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.

    Metadata production

    DDI Document ID

    DDI_SEN_2018-2019_WRS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group World Bank Documentation of the Study
    Date of Metadata Production

    2021-05-27

    Metadata version

    DDI Document version

    Version 01

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