NPL_2013_AFSPIE-BL_v01_M
Agriculture and Food Security Project Impact Evaluation 2013
Baseline Survey
Name | Country code |
---|---|
Nepal | NPL |
Impact Evaluation Survey
Sample survey data [ssd]
Households
The scope of the AFSP 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
AFSP includes 19 districts of the mid- and far-western development region of Nepal; Darchula, Baitadi, Dadeldhuda, Humla, Jumla, Mugu, Dolpa, Kalikot, Bajhang, Bajura, Jajarkot, Achham, Doti, Dailekh, Surkhet, Rukum, Salyan, Rolpa, and Piuthan.
Name | Affiliation |
---|---|
Paul Christian (Development Impact Evaluation (DIME)) | The World Bank |
Name |
---|
Global Agriculture and Food Security Program |
The AFSP project includes ten VDCs in each of the nineteen project districts. In most districts, eight of the ten AFSP VDCs were selected for the impact evaluation, along with four VDCs per district not receiving AFSP, which will serve as long-term controls. The AFSP Baseline Survey was conducted in 228 VDCs.
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 thus compose the sample frame. For each VDC, we drew a sample of 10 households. 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.
The IE contains four "treatment" VDCs in each district, and eight control VDCs. There are two types of control VDCs. Four are VDCs that have been selected to receive AFSP in the second phase of implementation, and can therefore serve as short-term controls.
The questionnaire focused on agricultural production and food security, and contained modules on housing, labor, education, health, income and expenditures, assets, and rural finance.
Start | End |
---|---|
2013-07 | 2013-10 |
Start date | End date |
---|---|
2013-07-01 | 2013-10-01 |
Name |
---|
New Era Pvt, Ltd |
Name | Affiliation |
---|---|
Michael Adedoyin Sunday Orevba | DECIE |
Name | Affiliation | |
---|---|---|
Paul Christian | The World Bank | pchristian@worldbank.org |
Saahil Karpe | The World Bank | skarpe@worldbank.org |
Use of the dataset must be acknowledged using a citation which would include:
Example,
Paul Christian, (Development Impact Evaluation (DIME)).The World Bank. Nepal - Agriculture and Food Security Project Impact Evaluation, Baseline Survey (AFSP-BL) 2011. Ref. NPL_2013_AFSP-BL_v01_M. Dataset downloaded from [url] on [date].
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.
Name | Affiliation | |
---|---|---|
Paul Christian | The World Bank | pchristian@worldbank.org |
Saahil Karpe | The World Bank | skarpe@worldbank.org |
DDI_NPL_2013_AFSPIE-BL_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | The World Bank | Documentation of the study |
2019-11-19
Version 01 (November 2019)
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.