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水稻收获损失主要影响因素的实证分析——基于有序多分类Logistic模型 被引量:25

Empirical Analysis of Main Factors Influencing Harvest Rice Losses——Based on the Ordered Multinomial Logistic Model
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摘要 本文结合国内外学界对粮食产后损失定义的研究成果和中国实际界定的水稻收获损失的内涵,并基于10个省份957户农户的抽样调查数据,在分析不同地区水稻收获损失现状的基础上,运用有序多分类Logistic模型分析了影响水稻收获损失的主要因素及其边际效应。调查发现,有56.13%的受访者认为,中国水稻收获损失率小于或等于4%,但在不同省份之间存在着差异。本文的研究表明,农户家庭经营收入比重、种植规模、机械化程度、适时收割与否、收获人员作业态度对水稻收获损失具有负向影响;受访者是否具有外出务工经历对水稻收获损失具有正向影响;同时,收获期内人手不足与恶劣天气使水稻收获损失显著扩大。 In this study,the meaning of harvest rice losses was defined based on previous research findings on definition of harvest grain losses and the realities in China.The current harvest rice losses in different areas in China were analyzed based on sampling survey data from 957 farmers in 10 provinces in China.On this basis,the main factors influencing harvest rice losses and their marginal effects were investigated using the ordered multinomial logistic model.The survey found that 56.13% of respondents believed that harvest rice losses were 4% or lower in China though there were differences among the provinces.Results revealed that proportion of family business income,size of production area,level of mechanization,timely harvest,and attitude toward harvest had a negative effect on harvest rice losses.On the other hand,fanners' experience of employment as migrant workers had a positive effect on harvest rice losses.Moreover,bad weather and short of hands during harvest significantly increased post-harvest rice losses.
出处 《中国农村观察》 CSSCI 北大核心 2015年第6期22-33,95,共12页 China Rural Survey
基金 2015年粮食公益性行业科研专项项目"粮食产后损失浪费调查及评估技术研究"(项目编号:201513004-6) 江苏省高校人文社科优秀创新团队"中国食品安全风险防控"(项目编号:2013-011)的阶段性研究成果
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