Arbeitspapier
Social networks and farmer exposure to improved crop varieties in Tanzania
In Sub-Sahara Africa, adoption rates of improved crop varieties remain relatively low, which is partly due to farmers' limited access to information. In smallholder settings, information often spreads through informal networks. Better understanding of such networks could potentially help to spur innovation and farmers' exposure to new technologies. This study uses survey data from Tanzania to analyze social networks and their role for the spread of information about improved varieties of maize and sorghum. Regression models show that network links for the exchange of agricultural information are more likely between farmers who have similar educational but different wealth levels. Moreover, network links are more likely when farmers have direct contacts to extension officers, suggesting that information flows through informal channels can support but not replace formal channels. Social networks play a significant role for the spread of information about open-pollinated varieties. This is not the case for maize hybrids, which are sold by private seed companies.
- Sprache
-
Englisch
- Erschienen in
-
Series: GlobalFood Discussion Papers ; No. 45
- Klassifikation
-
Wirtschaft
Microeconomic Analyses of Economic Development
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Innovation and Invention: Processes and Incentives
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Agricultural R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
- Thema
-
social networks
exposure
improved varieties
sorghum
maize
gender
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Muange, Elijah N.
Schwarze, Stefan
Qaim, Matin
- Ereignis
-
Veröffentlichung
- (wer)
-
Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood
- (wo)
-
Göttingen
- (wann)
-
2014
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Muange, Elijah N.
- Schwarze, Stefan
- Qaim, Matin
- Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood
Entstanden
- 2014
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