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Determinants of pesticide application: an empirical analysis with theory of planned behaviour

Jianhua Wang, May Chu, Yuan yuan Deng, Honming Lam and Jianjun Tang

China Agricultural Economic Review, 2018, vol. 10, issue 4, 608-625

Abstract: Purpose - The purpose of this paper is to investigate farmers’ intentions to comply with pesticide application standards based on an extended theory of planned behaviour (TPB). Design/methodology/approach - Built on a TPB framework, it was examined how perceived behavioural control (PBC), behavioural goal (BG), behavioural attitude (BA) and subjective norm (SN) influenced farmers’ intention to comply with pesticide application standards. Data of 986 farmers from five major agricultural provinces in China were collected following a stratified random sampling method. Structural equation modelling was employed for hypothesis testing and analysis. Findings - The results showed that PBC, BG, behavioural attitude and SN had positive impacts on farmers’ intention in abiding by the standards. Among them in determining farmers’ intention towards compliance with pesticide application standards, farmers’ PBC was found to be the most influential factor, while SN was the least influential factor. Originality/value - The results indicated that the traditional TPB constructs had significant correlations with farmers’ intention to comply with pesticide standards, demonstrating the applicability of the TPB in the understanding of farmers’ decision-making in a developing country context. It is suggested that psychological factors should be taken into consideration in studying farmers’ decision-making.

Keywords: Structural equation modelling; Theory of planned behaviour; Pesticide application practices (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:caerpp:caer-02-2017-0030

DOI: 10.1108/CAER-02-2017-0030

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China Agricultural Economic Review is currently edited by Dr Fu Qin, Dr Jikun Huang, Dr Kevin Z Chen, Dr Weiming Tian, Prof Daniel Sumner, Prof Xian Xin and Prof Holly Wang

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