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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9099653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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