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- W2998157066 abstract "Based on the grain production data hand collected in Mid-East China, a multinomial Logit model was employed to analyze factors that are critical to farmers’ investment decisions in food production. Reasonable explanations are provided to help understand differences between expected farmers’ investments in grain production and the actual results. It was found that the cost of machinery and the number of farmers is key factors affecting farmers’ willingness to adjust investment. Further research shows that most of the farmers who had the willingness to adjust investment did not implement the adjustments in the short-term. From the micro-adaptability expectation perspective, the time that it takes to adjust the planting area could explain farmers’ investment adjustment intention and the behavior. From the macro-investment perspective, short-term output elasticity of physical capital is less than long-term output elasticity. The differences between farmers’ willingness to invest and the actual results are therefore generated. These findings suggest that it is necessary to strengthen the application of big data technology in agriculture in order to improve the platforms’ efficiency in data releasing and reaching out to farmers to provide more accurate advice regarding investment adjustment." @default.
- W2998157066 created "2020-01-10" @default.
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- W2998157066 date "2019-12-27" @default.
- W2998157066 modified "2023-10-18" @default.
- W2998157066 title "How Farmers Make Investment Decisions: Evidence from a Farmer Survey in China" @default.
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- W2998157066 doi "https://doi.org/10.3390/su12010247" @default.
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