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Cited by 621

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone

Open access
Adesina, A·1993·Agricultural Economics
DOI 10.1016/0169-5150(93)90019-9
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Abstract

The objective of this paper is to test the hypothesis that farmer perceptions of technology- specific characteristics significantly condition technology adoption decisions. Earlier adoption studies have not considered this in the analysis of the determinants of adoption decisions. The omission of farmers' evaluation of technology-specific attributes may bias the results of factors conditioning adoption choices. A Tobit model was used to test this hypothesis using a stratified random sample of 124 mangrove swamp rice farmers in Sierra Leone. The issue investigated is the adoption of improved mangrove swamp rice varieties. The estimated model results show that farmer perceptions of the technology-specific attributes of the varieties are the major factors determining adoption and use intensities. Indicators of adoption determinants traditionally used in adoption-diffusion studies were found not to be important in driving adoption decisions. Therefore, there is need for adoption studies to consider farmers' perceptions of technology-specific attributes in the assessment of technology adoption decisions.

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Metadata

Authors
Adesina, A.
Venue
Agricultural Economics
Publisher
Wiley
Published
1993-12
Volume
9
Issue
4
Pages
297-311
ISSN
0169-5150 (ISSN-L)
DOI
10.1016/0169-5150(93)90019-9
OpenAlex
W2031273316
Cited by
621
References
19
FWCI
12.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone. https://app.cochat.ai/papers/10.1016/0169-5150(93)90019-9
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Adesina, A. (1993). Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone. Agricultural Economics. https://doi.org/10.1016/0169-5150(93)90019-9

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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.