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收入增加,污染减少?收入预期如何影响农药施用。

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

机构信息

School of Management, Zhengzhou University, Zhengzhou 450001, China.

Business School, University of Edinburgh, 29 Buccleuch Place, Edinburgh EH8 9JS, UK.

出版信息

Int J Environ Res Public Health. 2022 Apr 23;19(9):5136. doi: 10.3390/ijerph19095136.

DOI:10.3390/ijerph19095136
PMID:35564530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9099653/
Abstract

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.

摘要

农民仍然是中国当前“小、散、弱”农业生产格局的基础。因此,加强对减少农药使用的引导,是减少农业农药使用的核心。基于这一农药减量逻辑,选择了四种推广最广泛的农药减量技术,包括灯光诱捕、生物农药应用、健康作物生长和防虫网技术,并基于价值感知和计划行为理论,构建了农民采用这些技术的意愿的理论分析框架。采用有序逻辑回归模型,利用河南省 516 名农民的调查数据,探讨了当前中国农药减量技术认知、技术响应意愿和行为决策的关键因素。结果表明,在四种农药减量技术中,健康作物生长技术对农民最具吸引力,其次是防虫网技术和生物农药应用技术。农民对灯光诱捕技术的吸引力最低。农民对技术采用后收入提高的感知程度是决定其意愿的主要因素,在所有四个模型中均在 1%置信水平上呈显著正相关。此外,农民对技术的响应意愿也受到农民对技术操作能力的感知、对采用技术风险的感知、政府相关补贴、政府技术培训指导、对政府推广技术的信任以及对政府改善技术采用外部环境作用的感知的显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/8dc664f9bd7d/ijerph-19-05136-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/973e2625e93a/ijerph-19-05136-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/1366104dd933/ijerph-19-05136-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/8dc664f9bd7d/ijerph-19-05136-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/973e2625e93a/ijerph-19-05136-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/1366104dd933/ijerph-19-05136-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256c/9099653/8dc664f9bd7d/ijerph-19-05136-g003.jpg

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本文引用的文献

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Int J Environ Res Public Health. 2021 Oct 3;18(19):10431. doi: 10.3390/ijerph181910431.
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