The adopters versus the technology: which matters more when predicting or explaining adoption?
Abstract
Abstract Research on the determinants of adoption of agricultural innovations (technologies and practices) has failed to converge towards a consistent explanation for why farmers choose to adopt new technologies and practices. This absence of convergence matters because it indicates that agricultural extension and policy are influenced by a body of literature that is often not able to offer clear recommendations on the variables that can be used to design policy interventions. Our analysis suggests that, in general, researchers have been too focused on understanding the adopter and the general farming context, and too little concerned with understanding the performance of the technology itself.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Time delays in the effect of extension participation exist because the herd calving rate is determined by complex practices that do not give an immediate and observable return and require more learning time.
“This could be due to time delays in the effect of extension participation as the herd calving rate is determined by complex practices that do not give an immediate and observable return and require more learning time (Foster and Rosenzweig, 2010;Kuehne et al., 2017;Montes de Oca Munguia and Llewellyn, 2020).”
From Extension and management pathways for enhanced farm sustainability: evidence from Irish dairy farms (2023) · cites this paper as Montes de Oca Munguia and Llewellyn, 2020
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Stanton, B. F., & Rogers, E. M. (1963) · Journal of Farm Economics · doi:10.2307/1235767 · Cited by 6,725 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
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 · see citing works
Hybrid Corn: An Exploration in the Economics of Technological Change
Griliches, Z. (1957) · Econometrica · doi:10.2307/1905380 · Cited by 3,377 · see citing works
Farmers’ adoption of conservation agriculture: A review and synthesis of recent research
Knowler, D., & Bradshaw, B. (2007) · Food Policy · doi:10.1016/j.foodpol.2006.01.003 · Cited by 1,839 · see citing works
Understanding and promoting adoption of conservation practices by rural landholders
Pannell, D. J., Marshall, G. R., Barr, N., Curtis, A. L., Vanclay, F. M., & Wilkinson, R. (2006) · Australian Journal of Experimental Agriculture · doi:10.1071/ea05037 · Cited by 1,467 · see citing works
Integrating Models of Diffusion of Innovations: A Conceptual Framework
Wejnert, B. (2002) · Annual Review of Sociology · doi:10.1146/annurev.soc.28.110601.141051 · Cited by 1,284 · see citing works
Determinants of agricultural best management practice adoption: Evidence from the literature
Prokopy, L. S., Floress, K. M., Klotthor-Weinkauf, D., & Baumgart-Getz, A. (2008) · Journal of Soil and Water Conservation · doi:10.2489/jswc.63.5.300 · Cited by 921 · see citing works
Handbook of Agricultural EconomicsPreprint
Gardner, B. L., & Rausser, G. C. (2002) · RePEc: Research Papers in Economics · Cited by 906 · see citing works
Baumgart-Getz, A., Prokopy, L. S., & Floress, K. M. (2011) · Journal of Environmental Management · doi:10.1016/j.jenvman.2011.10.006 · Cited by 810 · see citing works
Evolution of systems approaches to agricultural innovation: concepts, analysis and interventions
Klerkx, L., van Mierlo, B., & Leeuwis, C. (2012) · Springer eBooks · doi:10.1007/978-94-007-4503-2_20 · Cited by 760 · see citing works
Marra, M. C., Pannell, D. J., & Ghadim, A. K. A. (2003) · Agricultural Systems · doi:10.1016/s0308-521x(02)00066-5 · Cited by 593 · see citing works
Implementing Precision Agriculture in the 21st Century
Stafford, J. V. (2000) · Journal of Agricultural Engineering Research · doi:10.1006/jaer.2000.0577 · Cited by 578 · see citing works
Factors Influencing Farmers’ Adoption of Best Management Practices: A Review and Synthesis
Liu, T., Bruins, R. J. F., & Heberling, M. T. (2018) · Sustainability · doi:10.3390/su10020432 · Cited by 484 · see citing works
Tey, Y. S., & Brindal, M. (2012) · Precision Agriculture · doi:10.1007/s11119-012-9273-6 · Cited by 475 · see citing works
Andersson, J., & D'Souza, S. (2013) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2013.08.008 · Cited by 379 · see citing works
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 · see citing works
Self-citationUncertainty, Learning, and Technology Adoption in Agriculture
Chavas, J., & Nauges, C. (2020) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13003 · Cited by 329 · see citing works
Pannell, D. J. (2008) · Land Economics · doi:10.3368/le.84.2.225 · Cited by 281 · see citing works
Rogers’ Innovation Adoption Attributes: A Systematic Review and Synthesis of Existing Research
Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2013) · Information Systems Management · doi:10.1080/10580530.2014.854103 · Cited by 214 · see citing works
Limits to Profit Maximization as a Guide to Behavior Change
Weersink, A. J., & Fulton, M. (2020) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13004 · Cited by 134 · see citing works
The Roles of Adoption and Behavior Change in Agricultural Policy
Pannell, D. J., & Claassen, R. (2020) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13009 · Cited by 132 · see citing works
Stepwise frameworks for understanding the utilisation of conservation agriculture in Africa
Brown, B., Nuberg, I., & Llewellyn, R. S. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.01.012 · Cited by 113 · see citing works
Self-citationWauters, E., & Mathijs, E. (2014) · International Journal of Agricultural Resources Governance and Ecology · doi:10.1504/ijarge.2014.061058 · Cited by 83 · see citing works
Technology adoption: who is likely to adopt and how does the timing affect the benefits?
Rubas, D. J. (2004) · OakTrust (Texas A&M University Libraries) · Cited by 36 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Extension and management pathways for enhanced farm sustainability: evidence from Irish dairy farms
Balaine, L., Läpple, D., Dillon, E. J., & Buckley, C. (2023) · European Review of Agricultural Economics · doi:10.1093/erae/jbac033 · Cited by 18 · see citing works
- Authors
- de Oca Munguia, O. M., & Llewellyn, R.
- ORCID
- Llewellyn, Rick
- Venue
- Applied Economic Perspectives and Policy
- Publisher
- Wiley
- Published
- 2020-02-05
- Volume
- 42
- Issue
- 1
- Pages
- 80-91
- ISSN
- 2040-5790 (ISSN-L)
- 2040-5804
- OpenAlex
- W3005068458
- Cited by
- 90
- References
- 26
- Citations by year
- 2026: 13 · 2025: 9 · 2024: 13 · 2023: 12 · 2022: 28 · 2021: 9 · 2020: 6
- FWCI
- 20.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Economic Perspectives and Policy (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Development and Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Keywords
- agricultural technology adoption, adoption factors, farmer behavior, technology performance, agricultural extension, agricultural policy
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