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• W4311786177 endingPage "16354" @default.
• W4311786177 startingPage "16354" @default.
• W4311786177 abstract "The pivotal measure for reducing pollution and facilitating green and sustainable agriculture lies in the application of biopesticides to replace chemical pesticides. The argument still rests on whether the use of the Internet can assist farmers in selecting biopesticides or not. In light of 532 microscopic research datapoints from the largest rice-producing province in China, the Probit model was applied in this article to probe the influencing factors regarding the use of the Internet on their selection of the biopesticides by farmers, and the TAM-PR model was also adopted to explore its intrinsic mechanisms. According to the research findings, the use of the Internet directly contributed to the application of biopesticides, which can affect farmers’ decisions regarding biopesticides by means of perceived usefulness and perceived ease of use in an indirect manner, and the mediating effect was 19.74% and 20.98%, respectively. The result regarding perceived risk was not significant. The use of the Internet has a remarkable effect on farmers with high incomes and large-scale operations, while it has an insignificant effect on farmers with low incomes and individual operations. It has a remarkable positive effect on farmers with high academic qualifications compared with those with low academic qualifications. Furthermore, personal, household-based production and village and green cognitive characteristics also have a significant influence on the application of biopesticides. Hence, it is of great significance to continuously facilitate the application of rural Internet usage, encourage environmentally friendly modes of production, and reduce agricultural pollution." @default.
• W4311786177 created "2022-12-28" @default.
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• W4311786177 date "2022-12-07" @default.
• W4311786177 modified "2023-10-14" @default.
• W4311786177 title "Whether the Use of the Internet Can Assist Farmers in Selecting Biopesticides or Not: A Study Based on Evidence from the Largest Rice-Producing Province in China" @default.
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• W4311786177 doi "https://doi.org/10.3390/su142416354" @default.
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