Record Details

Bangladesh Agricultural Value Chain (AVC) Impact Evaluation: Midline Survey

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Field Value
 
Title Bangladesh Agricultural Value Chain (AVC) Impact Evaluation: Midline Survey
 
Identifier https://doi.org/10.7910/DVN/E3WDFQ
 
Creator International Food Policy Research Institute (IFPRI)
 
Publisher Harvard Dataverse
 
Description

Funded under the Feed the Future (FTF) Initiative, the Bangladesh Agricultural Value Chains (AVC) project being implemented by Development Alternatives International (DAI) is working to improve food (and nutrition) security through strengthened agricultural value chains.


This dataset contains data from the second round of household survey interviews from the impact evaluation of the Bangladesh AVC project. The dataset contains three respondent groups. Group 1 households are jute farmer households who were previously interviewed in 2016. Group 2 households are jute farmer households added to the sample at midline (2017). Group 3 households are local jute input retailers.


The dataset contains information on: household composition and socio-demographic characteristics of household members; agricultural production (including jute, other crops, input & labor usage, and agricultural practices used; relations with other value chain actors (input sellers); and household assets and expenditures on food and non-food items.


 
Subject Agricultural Sciences
Social Sciences
agricultural production
households
value chain
supply chain
non food supply chain
BANGLADESH
SOUTH ASIA
ASIA
 
Language English
 
Date 2017
 
Contributor IFPRI-KM
Data Analysis and Technical Limited (DATA)
de Brauw, Alan (International Food Policy Research Institute (IFPRI))
Kramer, Berber (International Food Policy Research Institute (IFPRI))
Murphy, Mike (International Food Policy Research Institute (IFPRI))
 
Relation Bangladesh Agricultural Value Chain (AVC) Impact Evaluation: Baseline Survey
 
Type sample survey data (SSD)