The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Rural innovation systems and networks: findings from a study of Ethiopian smallholders
Open accessAbstract
Ethiopian agriculture is changing as new actors, relationships, and policies influence the ways in which small-scale, resource-poor farmers access and use information and knowledge in their agricultural production decisions. Although these changes suggest new opportunities for smallholders, too little is known about how changes will ultimately improve the wellbeing of smallholders in Ethiopia. Thus, we examine whether these changes are improving the ability of smallholders to innovate and thus improve their own welfare. In doing so, we analyze interactions between smallholders and other actors to provide new perspectives on the role played by smallholder innovation networks in the agricultural sector by drawing on data from community case studies conducted in 10 localities. Findings suggest that public extension and administration exert a strong influence over smallholder networks, potentially crowding out market-based and civil society actors, and thus limiting beneficial innovation processes. From a policy perspective, the findings suggest the need to further explore policies and programs that create more space for market and civil society to participate in smallholder innovation networks and improve welfare. From a conceptual and methodological perspective, our findings suggest the need to incorporate rigorous applications of social network analysis into the application of innovation systems theory.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Institutions, Institutional Change and Economic Performance
North, D. C. (1990) · doi:10.1017/cbo9780511808678 · Cited by 32,691
Learning by doing and learning from others: Human capital and technical change in agriculture
Foster, A. D., & Rosenzweig, M. R. (1995) · Journal of Political Economy · doi:10.1086/601447 · Cited by 2,038
Cited by
Klerkx, L., & Begemann, S. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2020.102901 · Cited by 354
Isaac, M. E. (2012) · Agricultural Systems · doi:10.1016/j.agsy.2012.01.011 · Cited by 127
Public food procurement from family farming: A food system and social network perspective
Gaitán-Cremaschi, D., Klerkx, L., Aguilar-Gallegos, N., Duncan, J., Pizzolón, A., Dogliotti, S., & Rossing, W. A. H. (2022) · Food Policy · doi:10.1016/j.foodpol.2022.102325 · Cited by 50
Metadata
- Authors
- Spielman, D. J., Davis, K., Negash, M., & Ayele, G.
- Venue
- Agriculture and Human Values
- Published
- 2010-06-06
- Volume
- 28
- Issue
- 2
- Pages
- 195-212
- ISSN
- 0889-048X (ISSN-L)
- 1572-8366
- OpenAlex
- W2088914922
- Cited by
- 314
- References
- 2
- FWCI
- 36.05
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.