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Cited by 405

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology

Koundouri, Phoebe, Nauges, Céline, Tzouvelekas, Vangelis·2006·American Journal of Agricultural Economics

Abstract

We propose a theoretical framework to analyze the conditions under which a farmer facing production uncertainty (due to a possible water shortage) and incomplete information will adopt a more efficient irrigation technology. A reduced form of this model is empirically estimated using a sample of 265 farms located in Crete, Greece. The empirical results suggest that farmers choose to adopt the new technology in order to hedge against production risk. In addition, we show that the farmer's human capital also plays a significant role in the decision to adopt modern, more efficient irrigation equipment.

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Crossref · 10.1111/j.1467-8276.2006.00886.x

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Metadata

Authors
Koundouri, P., Nauges, C., & Tzouvelekas, V.
Venue
American Journal of Agricultural Economics
Publisher
Wiley
Published
2006-08
Volume
88
Issue
3
Pages
657-670
ISSN
  • 0002-9092 (ISSN-L)
  • 1467-8276
OpenAlex
W2116383114
Cited by
405
References
48
FWCI
29.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology. https://app.cochat.ai/papers/10.1111/j.1467-8276.2006.00886.x
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Koundouri, P., Nauges, C., & Tzouvelekas, V. (2006). Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology. American Journal of Agricultural Economics. https://doi.org/10.1111/j.1467-8276.2006.00886.x

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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.