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More Income, Less Pollution? How Income Expectation Affects Pesticide Application

Farmers are still the foundation of China’s current “small, scattered, and weak” agricultural production pattern. As such, increasing guidance for reduction response behavior is central to reducing agricultural pesticide use. Following this pesticide reduction logic, four of the most widely promoted...

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Autores principales: Su, Xiaoshan, Shi, Jingyi, Wang, Tianxi, Shen, Qinghui, Niu, Wentao, Xu, Zhenzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099653/
https://www.ncbi.nlm.nih.gov/pubmed/35564530
http://dx.doi.org/10.3390/ijerph19095136
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author Su, Xiaoshan
Shi, Jingyi
Wang, Tianxi
Shen, Qinghui
Niu, Wentao
Xu, Zhenzhen
author_facet Su, Xiaoshan
Shi, Jingyi
Wang, Tianxi
Shen, Qinghui
Niu, Wentao
Xu, Zhenzhen
author_sort Su, Xiaoshan
collection PubMed
description Farmers are still the foundation of China’s current “small, scattered, and weak” agricultural production pattern. As such, increasing guidance for reduction response behavior is central to reducing agricultural pesticide use. Following this pesticide reduction logic, four of the most widely promoted pesticide reduction technologies, including light trapping, biopesticide application, healthy crop growth, and insect-proof net technologies, were selected, and a theoretical analysis framework of farmers’ willingness to adopt these technologies was constructed based on the theories of value perception and planned behavior. An ordered logistic regression model is used to explore key factors behind current pesticide reduction technology perceptions, technology response willingness, and behavioral decisions of farmers in China, with survey data from 516 farmers in Henan Province. The results show that among the four pesticide reduction technologies, healthy crop growth technology is the most-appealing one for farmers, followed by insect-proof net technology and biopesticide application technology. The least-appealing one for farmers is the light trapping technology. Farmers’ perceived degree of income improvement from technology adoption is the main determinant of their willingness, which is positively significant at a 1% confidence level in all four models. In addition, farmers’ willingness to respond to technologies is also significantly influenced by farmers’ perception of technical operational ability, perception of risk from adopting technology, government-related subsidies, government technical training guidance, trust in government promotion of technology, and perception of the government’s role in improving the external environment for adopting technology.
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spelling pubmed-90996532022-05-14 More Income, Less Pollution? How Income Expectation Affects Pesticide Application Su, Xiaoshan Shi, Jingyi Wang, Tianxi Shen, Qinghui Niu, Wentao Xu, Zhenzhen Int J Environ Res Public Health Article Farmers are still the foundation of China’s current “small, scattered, and weak” agricultural production pattern. As such, increasing guidance for reduction response behavior is central to reducing agricultural pesticide use. Following this pesticide reduction logic, four of the most widely promoted pesticide reduction technologies, including light trapping, biopesticide application, healthy crop growth, and insect-proof net technologies, were selected, and a theoretical analysis framework of farmers’ willingness to adopt these technologies was constructed based on the theories of value perception and planned behavior. An ordered logistic regression model is used to explore key factors behind current pesticide reduction technology perceptions, technology response willingness, and behavioral decisions of farmers in China, with survey data from 516 farmers in Henan Province. The results show that among the four pesticide reduction technologies, healthy crop growth technology is the most-appealing one for farmers, followed by insect-proof net technology and biopesticide application technology. The least-appealing one for farmers is the light trapping technology. Farmers’ perceived degree of income improvement from technology adoption is the main determinant of their willingness, which is positively significant at a 1% confidence level in all four models. In addition, farmers’ willingness to respond to technologies is also significantly influenced by farmers’ perception of technical operational ability, perception of risk from adopting technology, government-related subsidies, government technical training guidance, trust in government promotion of technology, and perception of the government’s role in improving the external environment for adopting technology. MDPI 2022-04-23 /pmc/articles/PMC9099653/ /pubmed/35564530 http://dx.doi.org/10.3390/ijerph19095136 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Su, Xiaoshan
Shi, Jingyi
Wang, Tianxi
Shen, Qinghui
Niu, Wentao
Xu, Zhenzhen
More Income, Less Pollution? How Income Expectation Affects Pesticide Application
title More Income, Less Pollution? How Income Expectation Affects Pesticide Application
title_full More Income, Less Pollution? How Income Expectation Affects Pesticide Application
title_fullStr More Income, Less Pollution? How Income Expectation Affects Pesticide Application
title_full_unstemmed More Income, Less Pollution? How Income Expectation Affects Pesticide Application
title_short More Income, Less Pollution? How Income Expectation Affects Pesticide Application
title_sort more income, less pollution? how income expectation affects pesticide application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099653/
https://www.ncbi.nlm.nih.gov/pubmed/35564530
http://dx.doi.org/10.3390/ijerph19095136
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