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Data on primary survey study on agricultural productivity and plot size: Village Dynamics in south Asia (VDSA)

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Title Data on primary survey study on agricultural productivity and plot size: Village Dynamics in south Asia (VDSA)
 
Identifier https://doi.org/10.21421/D2/HDEUKU
 
Creator Anupama GV
Thomas Falk
 
Publisher ICRISAT Dataverse
 
Description The VDSA panel dataset (vdsa.icrisat.ac.in) was generated by the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in partnership with the Indian Council of Agricultural Research (ICAR) Institutes and the International Rice Research Institute (IRRI). The VDSA has operated over a total period of 40 years from 1975 to 2015 but with discrete periods of data collection. In the most recent period (2009-2014), the period used for this analysis data were collected for a larger number of households and with vastly increased survey efforts focused on detailed data collection covering production information, GPS-measured plots, and 3-weekly household visits to record input and output data for each plot owned/leased by participants. The resultant data set covers the period 2009 and 2015 with 1,129 households participating from 30 villages in 9 states of India (vdsa.icrisat.ac.in/vdsa-map/vdsa-location-map.html). Study sites were selected using a stepwise purposive sampling strategy in order to cover the agro-ecological diversity of the region.
The current dataset, based on the VDSA raw data, has been compiled to assess the relationship between farm size and agricultural productivity. The STATA program file (.do file) is also shared along with data. This program imports raw VDSA data and with necessary processing develops the variables needed to run the models to study the relationship between agricultural productivity and plot size. The raw data files for different modules can be downloaded from this dataset or can also be generated from vdsakb.icrisat.ac.in, raw data option, selecting all the available Indian states.
 
Subject Social Sciences
VDSA
Semi-parametric model
Socioeconomic
 
Language English
 
Contributor Dataverse, Administrator
 
Type Socioeconomic primary survey data