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Support policy preferences of grain family farms: evidence from Huang-huai-hai plain of China

机译:支持粮食家庭农场的政策偏好:来自中国黄淮海平原的证据

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This study uses the choice experiment method with 570 grain family farms located in the Huang-huai-hai Plain and determine various support policy attributes and the attribute levels for the two dimensions of policy measures and policy communication channels. Ordering effects are eliminated by warming up subjects in advance and using information disclosure. This paper uses the inferred attribute non-attendance method to process attributes ignored by the grain family farms and analyzes grain family farms’ preferences for different support policies with a mixed logit model and then uses a latent class model to analyze how the characteristics of grain family farms relate to different preference types. We find that grain family farms have a strong preference for agricultural subsidies, credit support, and technical support (the mean coefficient is greater than 0.8). Moreover, the preferences of grain family farms over the policy communication channel (the mean coefficient is greater than 0.5) cannot be ignored. Faced with the same policy attribute combination, grain family farms with high education levels, reasonable scales of operation, and good understanding of support policies are more likely to improve their profit margins. There are four preference types of grain family farms: finance preference (43.2%), knowledge and technology preference (28.5%), land transfer preference (15.4%), and policy information preference (12.9%).
机译:本研究采用了位于黄淮海平原的570粒家庭农场的选择实验方法,并确定了各种支持政策属性和政策措施和政策通信渠道的两个维度的属性水平。通过预先预热和使用信息披露来消除订购效果。本文使用推断的属性未出勤方法来处理谷物家庭农场忽略的属性,并分析与混合Logit模型的不同支撑政策的谷类家庭农场的偏好,然后使用潜在的类模型来分析谷物家族的特征农场与不同的偏好类型有关。我们发现谷物家庭农场对农业补贴,信贷支持和技术支持有很强的偏好(平均系数大于0.8)。此外,不能忽视在策略通信信道上谷物家庭农场的偏好(平均系数大于0.5)。面对相同的政策属性组合,谷物家庭农场具有高等教育水平,合理的运作规模,良好地理解支持政策更有可能提高他们的利润利润。粮食家庭农场有四种偏好类型:金融偏好(43.2%),知识和技术偏好(28.5%),土地转移偏好(15.4%),以及政策信息偏好(12.9%)。

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