Year Published
- 2008 (0)
- 2009 (0)
- (-) Remove 2010 filter 2010
- (-) Remove 2011 filter 2011
- 2012 (1) Apply 2012 filter
- 2013 (0)
- 2014 (0)
- 2015 (0)
- 2016 (1) Apply 2016 filter
- (-) Remove 2017 filter 2017
- 2018 (0)
- 2019 (0)
- 2020 (0)
- 2021 (0)
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (0)
- Women (0)
Types of Research
- (-) Remove Data Analysis filter Data Analysis
- Literature Review (5) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (4) Apply Research Brief filter
Geography
- East Africa Region and Selected Countries (1) Apply East Africa Region and Selected Countries filter
- Global (1) Apply Global filter
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (1) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (1) Apply ASTI filter
- FAOSTAT (1) Apply FAOSTAT filter
- Farmer First (0)
- LSMS & LSMS-ISA (1) Apply LSMS & LSMS-ISA filter
- Other Datasets (0)
Current search
- (-) Remove 2010 filter 2010
- (-) Remove 2011 filter 2011
- (-) Remove Research & Development filter Research & Development
- (-) Remove 2017 filter 2017
- (-) Remove Data Analysis filter Data Analysis
- (-) Remove Labor & Time Use filter Labor & Time Use
An ongoing stream of EPAR research considers how public good characteristics of different types of research and development (R&D) and the motivations of different providers of R&D funding affect the relative advantages of alternative funding sources. For this project, we seek to summarize the key public good characteristics of R&D investment for agriculture in general and for different subsets of crops, and hypothesize how these characteristics might be expected to affect public, private, or philanthropic funders’ investment decisions.
This is "Section B" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of household characteristics by gender and by administrative zone, considering landholding size, number of crops grown, yields, livestock, input use, and food consumption.