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Good Growth Plan 2021-2022

Côte d'Ivoire, 2021 - 2022
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Reference ID
CIV_2021-2022_GGP-P_v01_M_v01_A_OCS
Producer(s)
Syngenta
Metadata
DDI/XML JSON
Study website
Created on
Jan 30, 2023
Last modified
Jan 30, 2023
Page views
1309
Downloads
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  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    CIV_2021-2022_GGP-P_v01_M_v01_A_OCS
    Title

    Good Growth Plan 2021-2022
    Country
    Name Country code
    Côte d'Ivoire CIV
    Study type

    Agricultural Survey [ag/oth]
    Abstract

    Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms.

    The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year. The data has been collected from more than 700 farms and covers more than 10 different crops in 7 African countries.
    Kind of Data

    Sample survey data [ssd]
    Unit of Analysis

    Agricultural holdings

    Scope

    Notes

    Data was collected on the usage of inputs, such as crop protection products, chemical fertilizer, seeding rates, labor hours, machinery usage hours, and marketable crop yield on a per hectare basis.

    Coverage

    Geographic Coverage

    National coverage

    Producers and sponsors

    Primary investigators
    Name
    Syngenta

    Sampling

    Sampling Procedure

    A. Sample design
    Farms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms.

    B. Sample size
    Sample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).
    Weighting

    No weighting.

    Data collection

    Dates of Data Collection
    Start End
    2021 2022
    Mode of data collection
    • Computer Assisted Personal Interview [capi]

    Data Access

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

    The Good Growth Plan Progress Data - Productivity 2021-2022

    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

    Contacts

    Contacts
    Name Affiliation Email
    The Good Growth Plan team Syngenta goodgrowthplan.data@syngenta.com

    Metadata production

    DDI Document ID

    DDI_CIV_2021-2022_GGP-P_v01_M_v01_A_OCS
    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Metadata producer
    Development Economics Data Group The World Bank Metadata adapted for World Bank Microdata Library
    Date of Metadata Production

    2023-01-30

    Metadata version

    DDI Document version

    Version 01 (January 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (CIV_2021-2022_GGP-P_v01_EN_M_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.
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