Contact for the resource
A survey of agricultural households was conducted in early 2011 in order to provide background information on landownership, size of operation, rice production, input use, and farm practices in rural communities, as well as to identify and assess existing climate change adaptation strategies. A resurvey was conducted in late 2012 to build on the initial round of the survey, known as the Bangladesh Climate Change Adaptation Survey, with a greater focus on gender and asset dynamics. We tried to track all the households including the split with an attrition rate of 2.66 percent.e this template for data such as statistics, surveys, etc.
The data comes from the household survey in Nyabihu District (Rwanda) in 2012. This data is used for doctoral research on "The Determinants of Long-Term Growth in Smallholder Farmers in Rwanda: An Intergenerational Analysis". The surveyed households were initially surveyed in 1986 by the International Food Policy Research Institute (IFPRI) under the study on "Commercialization of Agriculture under Population Pressure" (See von Braun et al., 1991: http://www.ifpri.org/sites/default/files/publications/rr85.pdf)
This marginality hotspot map of Ethiopia uses the lowest quartile as thresholds for the dimensions of marginality. Again, this map shows how many dimension of marginality - as defined by Gatzweiler et al. (2011) - overlap.
The dataset comprises administrative data regarding fiscal decentralization (intergovernmental transfers, municipal expenditures, and local revenues), nutrition (stunting, wasting and underweight for children under five years old), health-related indicators (access to safe water and sanitation), as well as other control variables (area, population, distance to the sea) for the 314 municipalities in Bolivia, for the years 2001 and 2012.
The Panel survey on Integrated Aquaculture-Agriculture (IAA)was conducted among the indigenous communities in northern and northwestern region of Bangladesh (Netrokona, Sherpur, Rangpur, Joypurhat, Dinajpur). The aim of the survey was to understand the performance, determinants and impact of IAA value chain activities. Entire data sets contains there file, one contains three wave (2007, 2009 and 2012) panel data on IAA value chain participation and welfare impacts, and other two contains cross sectional data on cost and return of value chain activities as well as farmers perception on socio-environmental impact of IAA versus rice-monoculture. Whole data sets contains information on household socioeconomic characteristics, cost and return of IAA value chain activities, farmers perception on IAA versus rice monoculture, welfare outcome variables.