NPL_2013_AFSPIE-BL_v01_M
Agriculture and Food Security Project Impact Evaluation 2013
Baseline Survey
Name | Country code |
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Nepal | NPL |
Impact Evaluation Survey
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:
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:
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).
The baseline survey of the AFSP provides information on the following topics: socioeconomic profile of the households, access to agricultural extension services, agricultural production and commercialization, household income and expenditures, access to and use of rural financial services, and food security, including women’s and children’s dietary diversity.
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 |
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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 |
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2013-07 | 2013-10 |
Start date | End date |
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2013-07-01 | 2013-10-01 |
Name |
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New Era Pvt, Ltd |
Name | Affiliation |
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Michael Adedoyin Sunday Orevba | DECIE |
Name | Affiliation | |
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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)