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Data for Shortening Supply Chains: Experimental Evidence from Fruit and Vegetable Vendors in Bogota 2016-2018

Colombia, 2016 - 2018
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Reference ID
COL_2016-2018_IPMC_v01_M
Producer(s)
David McKenzie
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
29353
Downloads
590
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Metadata production
  • Identification

    Survey ID number

    COL_2016-2018_IPMC_v01_M

    Title

    Data for Shortening Supply Chains: Experimental Evidence from Fruit and Vegetable Vendors in Bogota 2016-2018

    Country
    Name Country code
    Colombia COL
    Study type

    Other Household Survey [hh/oth]

    Abstract

    Fruit and vegetable vendors in Bogota travel most days to a central market to purchase produce, incurring substantial costs. A social enterprise attempted to shorten the supply chain between farmers and vendors by aggregating orders from many small stores and delivering orders directly. We randomized the introduction of this service at the market-block level. Initial interest was high, and the service reduced travel time and costs, and increased work-life balance. Purchase costs fell 6 to 8 percent, there was incomplete pass-through into lower prices for consumers, and markups rose. However, stores reduced sales of products not offered by this new service, and their total sales and profits appear to have fallen in the short-run, with service usage falling over time. The results offer a window into the nature of competition among small retailers, and point to the challenges in achieving economies of scale when disrupting centralized markets for multi-product firms.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Firm

    Scope

    Notes

    The survey covers firms in Bogota that sell fruit and vegetables and were part of an impact evaluation

    The scope of the survey includes:

    Baseline survey

    • Preliminary questions
    • Vendor information
    • Business information
    • Financial information
    • Agruppa products
    • Purchases
    • Work life balance
    • Interest in agruppa
    • Final questions

    Follow-up survey (6 months and 12 months)

    • Preliminary questions
    • Vendor information
    • Agruppa products
    • Business information
    • Financial information
    • Purchases
    • Work life balance
    • Final questions

    High Frequency Survey

    • Preliminary questions
    • Purchases
    • Agruppa products
    • Business Information
    • Final questions

    Customer Survey

    • Preliminary questions
    • Shopping decisions
    • Customer information
    • Final questions

    Coverage

    Geographic Coverage

    Southwest Bogota

    Producers and sponsors

    Primary investigators
    Name Affiliation
    David McKenzie World Bank
    Producers
    Name Affiliation Role
    Leonardo Iacovone World Bank co-PI
    Funding Agency/Sponsor
    Name Role
    World Bank Funder
    World Bank Funder
    World Bank Funder
    Innovations for Poverty Action Funder

    Sampling

    Sampling Procedure

    All neighborhoods in Bogota are classified by the government into one of six socio-economic strata, classified from 1 (poorest) to 6 (richest). Our focus is on poor neighborhoods (strata 1 to 3) in the South-West of Bogota, not immediately adjacent to Corabastos. Agruppa went door-to-door along streets in these neighborhoods in January and February 2016 (see Appendix 2 for a study timeline) to identify stores that sell fruit and vegetables, excluding the few large supermarkets and chain stores. Their aim was to map approximately 2,400 stores. Using larger streets as natural boundaries, these neighborhoods were then divided into 69 blocks, with a median block size of 36 retail shops per block. Six of these blocks were then dropped for safety reasons, leaving 63 blocks. Blocks were formed into matched pairs on the basis of geographic location and number of firms in the block, and then ordered according to the sequence in which Agruppa desired to expand operations. One block within each pair was then randomly assigned to treatment, and the other to control, for a total of 32 treatment blocks and 31 control blocks.

    This yielded a sample of 1,620 firms, comprising 852 firms in treatment blocks and 768 firms in control blocks. On average, 69 percent of firms in treatment blocks and 70 percent of firms in control blocks expressed interest in Agruppa, giving us samples of 586 interested firms in treatment blocks, 266 uninterested firms in treatment blocks, 536 interested firms in control blocks, and 232 uninterested firms in control blocks.

    Response Rate

    IPA Colombia conducted five rounds of high-frequency short-term follow-up surveys at 2, 4, 6, 10, and 14 weeks after the launch of Agruppa in a block. We would survey a treatment block and its corresponding control block in the same week, staggering the timing to match the staggered timing of the baseline surveys and introduction of Agruppa.
    The response rate averaged 79% for firms interested in Agruppa (81% in treatment blocks, 77% in control blocks), and 69% for not-interested firms (70% in treatment blocks, 68% in control blocks).

    We then collected two longer surveys at six-months and twelve months after the launch of Agruppa in a block. In addition to the information collected in the high-frequency surveys, these questionnaires also asked about business opening hours, sales of some other products, pricing strategies, crime, record-keeping, and work-life balance. The response rates for interested firms were 78% at six months (80% in treatment blocks, 75% in control blocks), and 76% at twelve months (77% in treatment blocks, and 74% in control blocks), and were again lower for uninterested firms

    Survey instrument

    Questionnaires

    The Baseline and Follow-Up survey quetionnaires are published in Spanish and English, and provided under the Documentation tab.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2016-04-01 2016-11-30 Baseline
    2016-05-01 2017-03-01 High-frequency surveys
    2016-10-01 2017-05-01 6-month follow-up
    2017-04-01 2017-11-01 12-month follow-up
    2017-11-01 2018-01-30 Customer surveys
    Data Collectors
    Name Affiliation
    Innovations for Poverty Action Colombia IPA

    Depositor information

    Depositor
    Name Affiliation
    David J. McKenzie World Bank

    Data Access

    Access conditions

    Public Access allowed for research purposes only

    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:
    Iacovone, Leonardo and David McKenzie "Shortening Supply Chains: Experimental Evidence from Fruit and Vegetable Vendors in Bogota", Research Paper. Ref. COL_2016-2018_IPMC_v01_M. Downloaded from [url] on [date].

    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_COL_2016-2018_IPMC_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2020-02-27

    Metadata version

    DDI Document version

    Version 01 (February 2020)

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