Year Published
- 2008 (0)
- 2009 (0)
- (-) Remove 2010 filter 2010
- 2011 (0)
- (-) Remove 2012 filter 2012
- (-) Remove 2013 filter 2013
- 2014 (1) Apply 2014 filter
- 2015 (0)
- 2016 (2) Apply 2016 filter
- 2017 (3) Apply 2017 filter
- 2018 (1) Apply 2018 filter
- 2019 (2) Apply 2019 filter
- 2020 (0)
- 2021 (2) Apply 2021 filter
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (1) Apply Smallholder Farmers filter
- Women (0)
Types of Research
Geography
- East Africa Region and Selected Countries (1) Apply East Africa Region and Selected Countries filter
- Global (0)
- South Asia Region and Selected Countries (1) Apply South Asia Region and Selected Countries filter
- 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 (0)
- FAOSTAT (0)
- (-) Remove Farmer First filter Farmer First
- (-) Remove LSMS & LSMS-ISA filter LSMS & LSMS-ISA
- (-) Remove Other Datasets filter Other Datasets
Current search
- (-) Remove 2010 filter 2010
- (-) Remove 2012 filter 2012
- (-) Remove LSMS & LSMS-ISA filter LSMS & LSMS-ISA
- (-) Remove Household Well-Being & Equity filter Household Well-Being & Equity
- (-) Remove Other Datasets filter Other Datasets
- (-) Remove 2013 filter 2013
- (-) Remove Finance & Investment filter Finance & Investment
- (-) Remove Aid & Other Development Finance filter Aid & Other Development Finance
- (-) Remove Health filter Health
- (-) Remove Farmer First filter Farmer First
- (-) Remove Technology filter Technology
Consumer attitudes are a key component in private sector market segmentation. Knowledge about consumers’ tastes can lead to better product design and more effective communication with target markets. Similarly, evidence suggests that farmers’ attitudes influence whether they adopt productivity-increasing technologies. Using consumer insights from the private sector, agricultural intervention programs can use market research, product development, and communication strategies to better understand farmers as consumers and best target interventions. This brief provides an overview of how farmers' attitudes affect their willingness to adopt new technology, and how knowledge of farmer attitudes can improve program design and implementation.
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.
This brief analyzes the indicators used by the World Bank in its Project Appraisal Documents (PAD) to measure the outputs and outcomes of 44 Water, Sanitation and Hygiene projects in Africa and Asia from 2000-2010. This report details the methods used to collect and organize the indicators, and provides a brief analysis of the type of indicators used and their evolution over time. A searchable spreadsheet of the indicators used in this analysis accompanies this summary. We find that some patterns emerge over time, though none are very drastic. The most common group of indicators used by the World Bank are “management” oriented indicators (28% of indicators). Management indicators are disproportionately used in African projects as compared to projects in Asia. Several projects in Africa incorporate indicators relating to legal/regulatory/policy outcomes, while projects in Asia do not. In recent years, the World Bank has used fewer indicators that measure service delivery, health, and education and awareness.