Year Published
- 2008 (0)
- 2009 (0)
- 2010 (0)
- (-) Remove 2011 filter 2011
- 2012 (1) Apply 2012 filter
- 2013 (0)
- 2014 (0)
- 2015 (0)
- 2016 (0)
- (-) Remove 2017 filter 2017
- 2018 (0)
- 2019 (0)
- 2020 (0)
- 2021 (0)
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (1) Apply Smallholder Farmers filter
- Women (0)
Types of Research
- (-) Remove Data Analysis filter Data Analysis
- Literature Review (1) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
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
Current search
- (-) Remove Technology filter Technology
- (-) Remove Environment & Climate Change filter Environment & Climate Change
- (-) Remove Data Analysis filter Data Analysis
- (-) Remove Agricultural Productivity, Yield, & Constraints filter Agricultural Productivity, Yield, & Constraints
- (-) Remove Poverty filter Poverty
- (-) Remove FAOSTAT filter FAOSTAT
- (-) Remove Technology Adoption filter Technology Adoption
- (-) Remove 2017 filter 2017
- (-) Remove 2011 filter 2011
- (-) Remove Farmer First filter Farmer First
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 brief explores agricultural data for Tanzania from the LSMS-ISA and Farmer First household surveys. We first present the differences in the LSMS and Farmer First survey design and in basic descriptives from the two data sources. We then present the results of our initial LSMS data analysis using the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), focusing on the agricultural data, before presenting our analysis of farmer aspirations and of gender differences using the Farmer First data.