Year Published
- 2008 (0)
- 2009 (0)
- 2010 (0)
- 2011 (0)
- (-) Remove 2012 filter 2012
- 2013 (0)
- 2014 (0)
- 2015 (0)
- 2016 (0)
- 2017 (0)
- 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 (0)
- Portfolio Review (0)
- Research Brief (0)
Geography
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- Global (0)
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (0)
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (0)
- FAOSTAT (0)
- (-) Remove Farmer First filter Farmer First
- LSMS & LSMS-ISA (7) Apply LSMS & LSMS-ISA filter
- Other Datasets (0)
Current search
- (-) Remove 2012 filter 2012
- (-) Remove Farmer First filter Farmer First
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Technology Adoption filter Technology Adoption
- (-) Remove Market & Value Chain Analysis filter Market & Value Chain Analysis
- (-) Remove Agricultural Inputs & Farm Management filter Agricultural Inputs & Farm Management
- (-) Remove Data Analysis filter Data Analysis
This brief explores how two datasets – The Tanzania National Panel Survey (TZNPS) and the TNS-Research International Farmer Focus (FF) – predict the determinants of inorganic fertilizer use among smallholder farmers in Tanzania by using regression analysis. The (TZNPS) was implemented by the Tanzania National Bureau of Statistics, with support from the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA) team and includes extensive information on crop productivity and input use. The FF survey was funded by the Bill and Melinda Gates Foundation and implemented by TNS Research International and focuses on the on the behaviors and attitudes of smallholder farmers in Tanzania. The two datasets produce relatively comparable results for the primary predictors of inorganic fertilizer use: agricultural extension and whether or not a household grows cash crops. However, other factors influencing input use produce results that vary in magnitude and direction of the effect across the two datasets. Distinct survey instrument designs make it difficult to test the robustness of the models on input use other than inorganic fertilizer. This brief uses data inorganic fertilizer use, rather than adoption per se. The TZNPS did not ask households how recently they began using a certain product and although the FF survey asked respondents how many new inputs were tried in the past four planting seasons, they did not ask specifically about inorganic fertilizer.