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Microeconomics of Technology Adoption
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Differences in technology levels across countries account for a large component of the differences in wages and per-capita GDP across countries worldwide. This article reviews micro studies of the adoption of new technologies and the use of inputs complementary with new technologies to shed light on the barriers to technology diffusion in low-income countries. Among the factors examined affecting decisions pertaining to technology choice and input allocations are the financial and nonfinancial returns to adoption, one's own learning and social learning, technological externalities, scale economies, schooling, credit constraints, risk and incomplete insurance, and departures from behavioral rules implied by simple models of rationality.
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“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 Foster and Rosenzweig, 2010
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“This could be because of time delays in learning about new practices, implementing adjustments in farm management and observing changes in farm performance (Chavas and Nauges, 2020;Foster and Rosenzweig, 2010;Weersink and Fulton, 2020).”
From Extension and management pathways for enhanced farm sustainability: evidence from Irish dairy farms (2023) · cites this paper as Foster and Rosenzweig, 2010
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Metadata
- Authors
- Foster, A. D., & Rosenzweig, M. R.
- Affiliations
- Brown University (US)
- Yale University (US)
- Venue
- Annual Review of Economics
- Publisher
- Annual Reviews
- Published
- 2010-09-04
- Volume
- 2
- Issue
- 1
- Pages
- 395-424
- ISSN
- 1941-1383 (ISSN-L)
- 1941-1391
- PMC
- PMC3876794
- OpenAlex
- W2117834723
- Cited by
- 1,055
- References
- 45
- Citations by year
- 2026: 97 · 2025: 93 · 2024: 86 · 2023: 96 · 2022: 85 · 2021: 86 · 2020: 76 · 2019: 79 · 2018: 76 · 2017: 77 · 2016: 46 · 2015: 46 · 2014: 41 · 2013: 31 · 2012: 23
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Economics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD041020)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Keywords
- technology adoption, technology diffusion, low-income countries, complementary inputs, social learning, technological externalities, economies of scale, school education, credit constraints, behavioral economics, wage differentials, GDP per capita
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 ›
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