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A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems

文献类型： 外文期刊

作者： Li, Wenjing 1 ; Clark, Beth 1 ; Taylor, James A. 1 ; Kendall, Helen 1 ; Jones, Glyn 1 ; Li, Zhenhong 4 ; Jin, Shan 1 ; Zh 1 ;

作者机构： 1.Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

2.Univ Montpellier, Montpellier SupAgro, INRAE, UMR ITAP, F-34000 Montpellier, France

3.FERA Sci Ltd, Natl Agrifood Innovat Campus, York YO41 1LZ, N Yorkshire, England

4.Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

5.Natl Engn Res Ctr Informat Technol Agr, Beijing Nongke Mans, Shuang Hua Yuan Middle Rd 11, Beijing 100097, Peoples R China

6.China Univ Geosci, Sch Econ & Management, Wuhan 430074, Peoples R China

7.Chinese Acad Agr Sci, 12 Zhongguancun St, Beijing 100081, Peoples R China

关键词： Precision farming; Reduced inputs; Technology adoption; Small-holder agriculture; Agricultural service providers; Structural equation modelling

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2020 年 172 卷

页码：

收录情况： SCI

摘要： Precision agriculture has the potential to deliver improved and more sustainable food production. Despite the various Chinese policy initiatives to strengthen national food security, there is evidence that the adoption of precision agriculture technologies in China has been much lower when compared to other developed agricultural economies. This study therefore aims to explore factors that determine Chinese farmers' adoption of precision agriculture technologies in cropping systems and to provide recommendations on technology promotion in the future. The current status of precision agriculture adoption by smallholder farmers within crop farming systems in the North China Plain was explored. An integrated model of "Adapted Unified Theory of Acceptance and Usage of Technology (AUT(2))" was developed to explain individual farmers' intention to adopt precision agriculture. 456 surveys were conducted via face to face interviews in the North China Plain and structural equation modelling analysis was used to estimate the proposed AUT(2) model. The results showed that perceived need for technology characteristics (PNTC), perceived benefits, perception of the efficacy of facilitating conditions and perceived risks of adoption have significant impacts on farmers' intention to adopt precision agriculture. The facilitating conditions (e.g. knowledge, resources and access to consultant services) were the best predictor improving Chinese farmers' willingness to adopt these technologies. Policy makers and service providers need to consider these factors in the promotion of technologies.

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