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Modeling farmers' intention to use pesticides: An expanded version of the theory of planned behavior.
J Environ Manage. 2019 Oct 15; 248:109291.JE

Abstract

Numerous studies have been carried out on pesticide handling practices in agriculture, but drivers of farmers' intentions to use pesticides are not well documented. The main purpose of this study was to explore farmers' intention to use pesticides in agriculture, based on an expanded version of the theory of planned behavior (TPB), with knowledge about pesticides and moral norms as additional constructs in the original TPB model. A sample of 400 cereal farmers of irrigated farmlands of Moghan plain, Iran was selected using multistage cluster sampling. Knowledge about pesticides hazards was the most important variable affecting farmers' intention to use pesticides. Knowledge mainly impacted perceived behavioral control of pesticide use and attitude towards pesticides. Thus, high levels of knowledge about pesticides were linked with greater influence of attitudes towards pesticides on farmers' intention. In turn, perceived behavioral control of pesticide use was affected by moral norms, subjective norms, and attitudes towards pesticide use. Moral norms and subjective norms also affected attitudes towards pesticides. Findings offer new evidence on the interrelationship of several variables in forming farmers' intention to use pesticides in the context of the widely used model of the TPB, for which no data are available in the literature. Promoting knowledge about pesticides is a fundamental step for regulating pesticide use among farmers, probably by stabilizing and rendering farmers' attitudes resistant to change. Moral norms and subjective norms can play a role mainly by affecting perceived behavioral control and attitudes towards pesticides. Combination of educational interventions for upgrading general knowledge about pesticides, with training courses, disincentives, and public awareness campaigns relating to pesticides may improve our ability to affect farmers' behavior.

Authors+Show Affiliations

Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili, Iran. Electronic address: a_bagheri@uma.ac.ir.Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili, Iran.Department of Agricultural Management, Rasht Branch, Islamic Azad University, Rasht, Iran.Department of Agricultural Development, Democritus University of Thrace, Orestiada, Greece. Electronic address: cdamalas@agro.duth.gr.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31352279

Citation

Bagheri, Asghar, et al. "Modeling Farmers' Intention to Use Pesticides: an Expanded Version of the Theory of Planned Behavior." Journal of Environmental Management, vol. 248, 2019, p. 109291.
Bagheri A, Bondori A, Allahyari MS, et al. Modeling farmers' intention to use pesticides: An expanded version of the theory of planned behavior. J Environ Manage. 2019;248:109291.
Bagheri, A., Bondori, A., Allahyari, M. S., & Damalas, C. A. (2019). Modeling farmers' intention to use pesticides: An expanded version of the theory of planned behavior. Journal of Environmental Management, 248, 109291. https://doi.org/10.1016/j.jenvman.2019.109291
Bagheri A, et al. Modeling Farmers' Intention to Use Pesticides: an Expanded Version of the Theory of Planned Behavior. J Environ Manage. 2019 Oct 15;248:109291. PubMed PMID: 31352279.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Modeling farmers' intention to use pesticides: An expanded version of the theory of planned behavior. AU - Bagheri,Asghar, AU - Bondori,Abolmohammad, AU - Allahyari,Mohammad Sadegh, AU - Damalas,Christos A, Y1 - 2019/07/25/ PY - 2019/03/07/received PY - 2019/06/06/revised PY - 2019/07/17/accepted PY - 2019/7/29/pubmed PY - 2019/9/26/medline PY - 2019/7/29/entrez KW - Adoption KW - Agricultural practices KW - Attitudes KW - Behavior KW - Farm safety SP - 109291 EP - 109291 JF - Journal of environmental management JO - J. Environ. Manage. VL - 248 N2 - Numerous studies have been carried out on pesticide handling practices in agriculture, but drivers of farmers' intentions to use pesticides are not well documented. The main purpose of this study was to explore farmers' intention to use pesticides in agriculture, based on an expanded version of the theory of planned behavior (TPB), with knowledge about pesticides and moral norms as additional constructs in the original TPB model. A sample of 400 cereal farmers of irrigated farmlands of Moghan plain, Iran was selected using multistage cluster sampling. Knowledge about pesticides hazards was the most important variable affecting farmers' intention to use pesticides. Knowledge mainly impacted perceived behavioral control of pesticide use and attitude towards pesticides. Thus, high levels of knowledge about pesticides were linked with greater influence of attitudes towards pesticides on farmers' intention. In turn, perceived behavioral control of pesticide use was affected by moral norms, subjective norms, and attitudes towards pesticide use. Moral norms and subjective norms also affected attitudes towards pesticides. Findings offer new evidence on the interrelationship of several variables in forming farmers' intention to use pesticides in the context of the widely used model of the TPB, for which no data are available in the literature. Promoting knowledge about pesticides is a fundamental step for regulating pesticide use among farmers, probably by stabilizing and rendering farmers' attitudes resistant to change. Moral norms and subjective norms can play a role mainly by affecting perceived behavioral control and attitudes towards pesticides. Combination of educational interventions for upgrading general knowledge about pesticides, with training courses, disincentives, and public awareness campaigns relating to pesticides may improve our ability to affect farmers' behavior. SN - 1095-8630 UR - https://www.unboundmedicine.com/medline/citation/31352279/Modeling_farmers'_intention_to_use_pesticides:_An_expanded_version_of_the_theory_of_planned_behavior_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0301-4797(19)30993-4 DB - PRIME DP - Unbound Medicine ER -