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Resources, Greenhouse Gas Emissions, Technology and Work in Production and Distribution Systems: Rice in India
Creator
HarrissWhite, B, University of Oxford
Study number / PID
851542 (UKDA)
10.5255/UKDA-SN-851542 (DOI)
Data access
Open
Series
Not available
Abstract
Primary data was collected using recall surveys in S and E India from rice farmers, millers, transports and retailers.
All data was collected using recall surveys between 2012 and 2013.
In order to understand the costs and labour (minutes, pay and gender) required to produce 1kg of rice from field to shop, the following data was collected from each category:
Farmers: the entire process of growing rice was mapped (cultivation, bund repair, seedbed preparation, sowing, transplanting, fertiliser, manure, pesticides, irrigation, weeding, harvest). For each process full costs and labour details (how many workers, casual/family/tied, gender, pay, working hours) were collected. Data required for the calculation of environmental impacts were also collected (greenhouse gas emissions, water use, energy use). In addition household/farm data was collected for the farmer (size of farm, irrigated/dryland, family details, education), as well as relevant capital data.
Mill. In line with the process of collecting data for the farms, each step in the milling of rice was mapped, and onto this economic, labour and environmental data was collected.
Transport. For a range of lorry sizes (ranging from interstate lorries to intra-urban three-wheelers) the following data was collected: capital and variable costs, labour requriements, labour pay, hours and gender, energy (fuel) requirements, and losses via spillage/wasteage.
Retail. for a range of shop types (supermarket, informal retail and government ration shops) the following data was collected: size of shop, energy use, proportion of rice to total sale (allocated as proportion of profit), labour requirements, labour pay, hours and gender, costs, profit, and waste.
Data was collected by a range of project partners and Research Assistants in local languages and translated into English. All analysis was done in English.
Further details are available...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/10/2011 - 31/12/2013
Country
India
Time dimension
Not available
Analysis unit
Household
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Data collection mode
All data is primary data and was collected using recall surveys in 2012-2013. In each catagory (agriculture, transport, miller and retail) the manager (ie land owner, mill owner) was interviewed in the appropriate local language.We used stratified snowballing techniques to identify individuals - ie with specific criteria of matching local farm size distribution, individuals where identified from previous participants. The exception was for organic farmers - due to the low numbers of organic farms these were identified through working backwards from organic retails shops in Chennai. 'Control' intensive details were collected from farms within 1km of the organic farms.Stratfication included holding size and caste in the agricultural sample; types of lorry for transport and types of shop for retail
Funding information
Grant number
RES-167-25-0700
Access
Publisher
UK Data Service
Publication year
2015
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.