The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?
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Citations
Cites
Dixit, R. K., & Pindyck, R. S. (1994) · doi:10.1515/9781400830176 · Cited by 9,029
Adoption of Agricultural Innovations in Developing Countries: A Survey
Feder, G., Just, R. E., & Zilberman, D. (1985) · Economic Development and Cultural Change · doi:10.1086/451461 · Cited by 3,482
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
Positive but variable effects of crop diversification on biodiversity and ecosystem services
Beillouin, D., Ben‐Ari, T., Malézieux, E., Seufert, V., & Makowski, D. (2021) · Global Change Biology · doi:10.1111/gcb.15747 · Cited by 590
Predicting farmer uptake of new agricultural practices: a tool for research, extension and policy
Kuehne, G., Llewellyn, R., Pannell, D. J., Wilkinson, R., Dolling, P., Ouzman, J., & Ewing, M. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.06.007 · Cited by 367
Self-citationImpact of Bt cotton on pesticide poisoning in smallholder agriculture: A panel data analysis
Kouser, S., & Qaim, M. (2011) · Ecological Economics · doi:10.1016/j.ecolecon.2011.06.008 · Cited by 192
Jacobs, A. A., Evans, R. S., Allison, J. K., Garner, E. R., Kingery, W. L., & McCulley, R. L. (2022) · Soil and Tillage Research · doi:10.1016/j.still.2021.105310 · Cited by 99
The adopters versus the technology: which matters more when predicting or explaining adoption?
de Oca Munguia, O. M., & Llewellyn, R. (2020) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13007 · Cited by 90
Information quality and effectiveness for more rapid adoption decisions by farmers
Llewellyn, R. S. (2007) · Field Crops Research · doi:10.1016/j.fcr.2007.03.022 · Cited by 79
The sustainable start‐up paradox: Predicting the business and climate performance of start‐ups
Leendertse, J., van Rijnsoever, F. J., & Eveleens, C. P. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2667 · Cited by 64
Mola-Yudego, B., & Pelkonen, P. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.03.036 · Cited by 59
Canales, E., Bergtold, J. S., & Williams, J. R. (2024) · American Journal of Agricultural Economics · doi:10.1111/ajae.12414 · Cited by 38
Devilliers, E., Koutchadé, O. P., & Carpentier, A. (2025) · European Review of Agricultural Economics · doi:10.1093/erae/jbaf025 · Cited by 1
Metadata
- Authors
- Marra, M., Pannell, D. J., & Abadi Ghadim, A.
- Venue
- Agricultural Systems
- Publisher
- Elsevier BV
- Published
- 2003-02
- Volume
- 75
- Issue
- 2-3
- Pages
- 215-234
- ISSN
- 0308-521X (ISSN-L)
- OpenAlex
- W2020068677
- Cited by
- 589
- References
- 3
- FWCI
- 57.51
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.