The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Modeling farmers’ intention to use pesticides: An expanded version of the theory of planned behavior
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.
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Citations
Cites
2 retracted
RETRACTED: Pesticide use in vegetable crops in Pakistan: Insights through an ordered probit model
Damalas, C. A., & Khan, M. A. (2017) · Crop Protection · doi:10.1016/j.cropro.2017.05.004 · Cited by 72
Self-citationRetractedBondori, A., Bagheri, A., Damalas, C. A., & Allahyari, M. S. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.05.203 · Cited by 52
Self-citationRetractedThe theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Determining sample size for research activities
Krejcie, R. V., & Morgan, D. W. (1970) · Educational and Psychological Measurement · doi:10.1177/001316447003000308 · Cited by 18,930
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003) · Department of Psychology - University of Koblenz-Landau · doi:10.23668/psycharchives.12784 · Cited by 8,975
Nature and Operation of Attitudes
Ajzen, I. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.27 · Cited by 4,321
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Metadata
- Authors
- Bagheri, A., Bondori, A., Allahyari, M. S., & Damalas, C. A.
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 248
- Pages
- 109291
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W2963929228
- Cited by
- 268
- References
- 42
- FWCI
- 17.33
- Type
- journal article
- Language
- en
- Open access
- closed
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- 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. https://doi.org/10.1016/j.jenvman.2019.109291
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