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首页> 外文期刊>The journal of technology transfer >Impact of information transfer on farmers' uptake of innovative crop technologies: a structural equation model applied to survey data
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Impact of information transfer on farmers' uptake of innovative crop technologies: a structural equation model applied to survey data

机译：信息传递对农民采用创新作物技术的影响：应用于调查数据的结构方程模型

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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% of the variance in current technological uptake behaviour and 63% 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.
机译：这项研究使用苏格兰农户代表性调查数据的结构方程模型，分析了技术信息（除其他先验因素外）转移对创新农作物技术采用的影响。该模型解释了当前技术采用行为的83％的变化和采用新技术的意图的63％的变化。结果表明，经济特征（利润取向，农业收入，技术投资行为和农业劳动）对采用新技术的意愿和意图产生最大的影响。教育，获得技术信息以及信息传递源的有用性也是对行为和意图的主要影响。技术吸收行为是将来打算吸收更多技术的强烈决定因素。结果证实了文献中的既定证据，即除经济因素外，获得技术信息以及对不同信息源的信任/感知的有用性将对技术采用产生影响。这些发现与政策高度相关，因为它们表明了影响通过适当渠道向农业生产者转移特定技术信息的过程的因素，这构成了行为改变的潜在驱动力。

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