Impact of information transfer on farmers' uptake of innovative crop technologies: a structural equation model applied to survey data

L Toma, AP Barnes, L-A Sutherland, SG Thomson, FJ Burnett, K Mathews

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7 Citations (Scopus)
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Abstract

This study analyses the impact of the transfer of technological information (among other a priori identified factors) on the uptake of innovative crop technologies using structural equation modelling of data from a representative survey of Scottish crop farmers. The model explains 83 per cent of the variance in current technological uptake behaviour and 63 per cent of the variance in intentions to uptake new technologies. Results show economic characteristics (profit orientation, agricultural income, technological investment behaviour and farm labour) to have the strongest effect on both uptake and intentions to uptake novel technologies. Education, access to technological information and perceived usefulness of sources of information transfer are also main influences on behaviour and intentions. Technological uptake behaviour is a strong determinant of intentions to uptake more technologies in the future. The results confirm established evidence from the literature that, besides economic factors, access to technological information and trust in/perceived usefulness of the different information sources will have an impact on technological uptake. The findings are highly policy relevant as they give some indication of the factors influencing the process of targeting specific technological information transfer through the appropriate channels to agricultural producers, which builds a potential driver of behavioural change.
Original languageEnglish
Pages (from-to)864 - 881
Number of pages18
JournalJournal of Technology Transfer
Volume43
Issue number4
Early online date15 Nov 2016
DOIs
Publication statusFirst published - 15 Nov 2016

Fingerprint

Survey data
Farmers
Crops
Structural equation model
Information transfer
Perceived usefulness
Investment behavior
Profit
Education
Targeting
Behavioural change
Sources of information
Influencing factors
Structural equation modeling
Farm labor
Economics
Income
Information sources
Economic factors
Factors

Bibliographical note

1023354

Keywords

  • Scottish crop farmers
  • Structural equation model
  • Technological information transfer
  • Technological uptake

Cite this

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abstract = "This study analyses the impact of the transfer of technological information (among other a priori identified factors) on the uptake of innovative crop technologies using structural equation modelling of data from a representative survey of Scottish crop farmers. The model explains 83 per cent of the variance in current technological uptake behaviour and 63 per cent of the variance in intentions to uptake new technologies. Results show economic characteristics (profit orientation, agricultural income, technological investment behaviour and farm labour) to have the strongest effect on both uptake and intentions to uptake novel technologies. Education, access to technological information and perceived usefulness of sources of information transfer are also main influences on behaviour and intentions. Technological uptake behaviour is a strong determinant of intentions to uptake more technologies in the future. The results confirm established evidence from the literature that, besides economic factors, access to technological information and trust in/perceived usefulness of the different information sources will have an impact on technological uptake. The findings are highly policy relevant as they give some indication of the factors influencing the process of targeting specific technological information transfer through the appropriate channels to agricultural producers, which builds a potential driver of behavioural change.",
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Impact of information transfer on farmers' uptake of innovative crop technologies: a structural equation model applied to survey data. / Toma, L; Barnes, AP; Sutherland, L-A; Thomson, SG; Burnett, FJ; Mathews, K.

In: Journal of Technology Transfer, Vol. 43, No. 4, 15.11.2016, p. 864 - 881.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Toma, L

AU - Barnes, AP

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AU - Thomson, SG

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AU - Mathews, K

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