Subramanian, A. (2018) Farm surveys from experimental intervention in agriculture in the Indian state of Karnataka. [Data Collection]

Collection description

Data submitted is based on farm surveys among 660 farmers in the Siriguppa taluk of Bellary district in the Indian state of Karnataka. The data includes four waves of surveys among same farmers over five years from 2012-13 to 2016-17. The first survey – baseline survey – was carried out in the first year of the project before the implementation of the experimental intervention. The intervention was on providing farmers with crop cultivation information ranging from land preparation to harvesting, information on credit and insurance, the price of inputs and outputs, etc. This intervention was carried out every year except 2014-15. After the baseline survey, two more surveys were carried out apart from the endline survey. These surveys retrospectively record information on several aspects of farming, social network, and household consumption.

Funding:	Economic and Social Research Council (ESRC) [ES/J009334/1]
Keywords:	economic policy, agricultural economics
College / School:	College of Social Sciences > Adam Smith Business School > Economics
Date Deposited:	07 May 2019 13:18
URI:	https://researchdata.gla.ac.uk/id/eprint/811
Additional details Additional details Type of data: Mixed, Other Contributors: Contribution Name Email UNSPECIFIED Subramanian, Arjunan UNSPECIFIED Collection period: From To 1 November 2012 31 October 2017 Date: 25 April 2018 Date type: Publication Geographic coverage: Karnataka, India Data collection method: For Siruguppa samples we applied the two-stage randomization procedure. From 25 GP in Siruguppa, 12 are randomly chosen and then are split equally into treatment and control. Randomization is done in Excel. A similar condition is applied in random sampling: none of the control and treatment GP should be neighbors. Figure 1 is a schematic depiction of the stages and the GP sample chosen in the process. In Siruguppa, we plan to have only one type of treatment viz. T2. Figure 4 depicts the location of 12 selected GPs in Siruguppa Taluka and their classification in treatment and control groups. Another interesting research question which can be addressed is the magnitude of spillover effect. It has been observed in the field that farmers often collect information from other farmers in the village. Thus, farmers may pass the information provided by e-SAP and our extension agent to others in the village and the recipients may benefit as well. To measure this indirect benefit, it is decided to take some additional farmers in each treatment GP. They will not receive any direct information from the project but they will be surveyed. The subsequent question was how would these additional farmers be chosen? Initially, it was thought that each selected GP, select four or five villages and for each village select farmers randomly. To capture internal (intra-village) spillover effect, for each treated village by selecting 2 additional farmers from the village itself. To capture external (inter-village) spillover effect, for each treated village select two more from outside the village. But, as GP in Siruguppa have a smaller number of villages (sometimes only one village) and they are bigger too. So, it is decided to select farmers randomly from the GP, ignoring his/her village of residence. Ideally, these farmers should be chosen simultaneously with the farmers receiving treatment. However, in practice, a randomly selected and identified farmer may refuse to respond to our survey. Considering that possibility, it was decided that those 10 farmers would be randomly selected after completing the baseline survey in a treatment GP. The data generated was based on recall method from household interviews using structured questionnaires. Additional information: This is a metadata-only record. To access the data associated with this record, please follow the link provided to the UK Data Service Resource language: English Research project title: Information, market creation and agricultural growth Data Publisher: University of Glasgow Copyright holders: Arjunan Subramanian Last Modified: 07 May 2019 13:54

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