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Agriculture and Food Security Project (AFSP) Impact Evaluation 2017, Endline Survey

Nepal, 2017
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Reference ID
NPL_2017_AFSPIE-EL_v01_M
Producer(s)
Paul Christian (Development Impact Evaluation (DIME))
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
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  • 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
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NPL_2017_AFSPIE-EL_v01_M

    Title

    Agriculture and Food Security Project (AFSP) Impact Evaluation 2017

    Subtitle

    Endline Survey

    Country
    Name Country code
    Nepal NPL
    Study type

    Impact Evaluation

    Series Information

    This is the third and final round of data collected towards the Impact Evaluation.
    The Baseline Survey was conducted in 2013 and the Midline Survey in 2016.

    Abstract

    The Nepal Agriculture and Food Security Project (AFSP) aims to improve the livelihood of poor farmers by increasing agricultural output and improving nutritional practices. AFSP is funded by the Global Agriculture and Food Security Project (GAFSP), supervised by the World Bank, and implemented by the Ministries of Agricultural Development (MoAD) and Health (MoH). AFSP includes 19 districts1 of the mid- and far-western development regions of Nepal. It intends to benet 162,000 people living in hill and mountain areas of the country.

    According to the Project Appraisal Document (PAD), the Project Development Objective (PDO) is to enhance food and nutritional security of the targeted communities in select locations of Nepal. The project hypothesizes a link between this food security/nutrition and increased productivity of on-farm income from
    both cultivation of crops and rearing of livestock. Additional Results indicators for the project include:

    • Increase in the productivity of targeted crops
    • Increase in the yield of targeted livestock products
    • Increase in the proportion of pregnant and nursing mothers and children between 6-24 months' age adopting appropriate feeding practices.

    Following from these objectives, and the indicators laid out in the PAD, the IE was designed in order to capture both the direct targets of the project, as well as its envisioned mechanism pathways. These form the core outcomes measured and described in this report.

    In order to achieve its targets, AFSP consists of four components:

    1. Technology Development and Adaptation
    2. Technology Dissemination and Adoption (TDA)
    3. Food and Nutrition Status Enhancement (FNSE)
    4. Project Management

    The Impact Evaluation (IE) of AFSP concentrates on components 2 and 3. Component 2, TDA, aims to introduce farmers to new production and management methods for both crops and livestock in order to improve their yields and income using a Farmer Field Schools (FFS) approach. Component 3, FNSE, aims to improve feeding practices of young children and of pregnant women, primarily through Behavior Change Communication (BCC).

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household level

    Scope

    Notes

    The scope of the Endline Survey includes:
    Section A: Household Identification
    Section A, Part 1: Location
    Section A, Part 2: Verification
    Section A, Part 3: Date and Time of interview
    Section A, Part 4: Target Respondent
    Section B: Individual Identification
    Section B, Part 1: HH Roster
    Section B, Part 2: HH Labor
    Section C: Extension
    Section D: Agriculture
    Section D, Part 1: Plot Identification
    Section D, Part 2: Production
    Section D, Part 3: Ag Labor
    Section D, Part 4: Irrigation
    Section D, Part 5: Ag Inputs
    Section D, Part 6: Technologies
    Section E: Housing
    Section F: Assets, Income, Expenditures
    Section F, Part 1: Assets
    Section F, Part 2: Income
    Section F, Part 3: Expenditures
    Section F, Part 4: Food Consumption
    Section G: Farmer Groups
    Section H:Livestock and Poultry
    Section H, Part 1: Livestock Roster
    Section H, Part 2: Livestock Products
    Section I: Finances
    Section J: Kitchen Gardens
    Section K, Part 1: Dietary Diversity
    Section K, Part 2: Months of Inadequate Food
    Section K, Part 3: HH Hunger ScaKe
    Section N: Insurance

    Coverage

    Geographic Coverage

    The survey covered the following districts:

    Pyuthan, Rolpa, Rukum, Salyan, Surkhet, Dailekh, Jajarkot, Dolpa, Jumla, Kalikot, Mugu, Humla, Bajura, Bajhang, Achham, Doti, Dadeldhura, Baitadi, Darchula

    Geographic Unit

    District

    Universe

    The endline survey followed up with households that were interviewed at the baseline, as well some of the additional households sampled during the midline survey, one year prior.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Paul Christian (Development Impact Evaluation (DIME)) The World Bank
    Producers
    Name Affiliation Role
    Saahil Karpe The World Bank Research Analyst
    Funding Agency/Sponsor
    Name
    Global Agriculture Food Security Program

    Sampling

    Sampling Procedure

    The AFSP project includes 10 VDCs in each of the 19 project districts. 8 of the 10 project VDCs were selected for the impact evaluation, along with 4 VDCs per district not receiving AFSP. There were a few exceptions to this 4 external controls per district "rule". Specifically, in 2 districts (Jajarkot, Dhadeldura) there were no suitable external controls found, so all 10 AFSP VDCs were surveyed. (For ex. in Dadeldhura there are only 20 VDCs, and KISAN was working in the 10 non-AFSP VDCs). In 2 districts (Pyuthan and Kalikot), all 10 AFSP VDCs plus 4 external controls were surveyed to 'make up' for surveying only 10 VDCs in Jajarkot and Dadeldhura, which serve as long-term controls. The AFSP Endline Survey was thus conducted in 228 VDCs.

    The endline survey followed up with households that were interviewed at the baseline, as well some of the additional households sampled during the midline survey, one year prior. Before conducting the baseline survey, the survey firm completed a household census in each VDC to identify households that meet eligibility criteria for AFSP interventions. The census included a list of questions on household composition, land and livestock ownership, and interest in participating in agricultural projects. The census data was used to establish eligibility for AFSP interventions, and to construct the sample frame for the IE. In each VDC, the team drew a random sample of 10 households to be tracked across the length of project implementation. The selection gave preference to households with young children, as they are most likely to benefit from both the nutrition and the agricultural interventions of AFSP. The household census and sampling were coordinated closely with the local officials responsible for forming AFSP groups to ensure that the sampled households were very likely to end up joining the groups.

    Deviations from the Sample Design

    At baseline, 2280 household were surveyed, and this increased to 3157 households at midline. The sample was increased in 12 out of 19 districts to ensure that pregnant women and mothers of infants could be included in the sample since baseline households may not be guaranteed to have women with this profile. These 12 districts were purposefully chosen as the ones where Suaahara interventions had not yet expanded across the full district.

    Survey instrument

    Questionnaires

    The questionnaire focused on agricultural production and food security, and contained modules on housing, labor, education, health, income and expenditures, assets, and rural finance. The questionnaire is provided in English, available under the Documentation tab.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2017-09-19 2017-12-06 Endline Survey
    Data Collectors
    Name Affiliation
    Gogi Grewal The World Bank
    Supervision

    The DIME team has been working closely with operational and program management staff from both the GoN and the World Bank (WB) from the inception of this IE. Throughout the IE process, the MoAD, MoHP, and WB teams are supported by a full-time DIME field coordinator based in Kathmandu who oversees day-to-day IE activities and ensures full communication across the various entities (research, operations and management).

    Data Collection Notes

    New ERA conducted the AFSP endline survey from September to December 2017. The survey team used SurveyCTO - a cloud-based data collection software that delivers questionnaires through Android tablets - to gather information from each household in the sample.

    Depositor information

    Depositor
    Name Affiliation
    Development Impact Evaluation World Bank

    Data Access

    Access authority
    Name Affiliation URL
    Microdata Library World Bank microdata.worldbank.org
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes The variables treatment in the dataset needs to be embargoed for 2 years from submission date.
    Access conditions
    • Licensed datasets, accessible under conditions
    Citation requirements

    The use of the datasets must be acknowledged using a citation which would include: - the identification of the Primary Investigator (including country name); - the full title of the survey and its acronym (when available), and the year(s) of implementation; - the survey reference number; - the source and date of download (for datasets disseminated online).

    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
    Paul Christian The World Bank pchristian@worldbank.org
    Saahil Karpe The World Bank skarpe@worldbank.org

    Metadata production

    DDI Document ID

    DDI_NPL_2017_AFSPIE-EL_v01_M_WB

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

    2020-03-05

    Metadata version

    DDI Document version

    Version 01 (March 2020)

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