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作 者:江晓敏[1] JIANG Xiao-min(College of Economics, Fujian Agriculture and Forestry University, Fuzhou, 350002, Chin)
出 处:《华南农业大学学报(社会科学版)》2017年第3期79-86,共8页Journal of South China Agricultural University(Social Science Edition)
基 金:国家社会科学基金重大项目(16ZDA024)
摘 要:运用数据包络分析方法的演化模型DEA-EBM模型测算中国木本粮油生产效率,并运用多元线性回归方法分析影响生产效率的主要原因。研究发现,目前我国木本粮油生产效率低下,土地经营规模大小对农户油茶种植的生产效率不是完全的正相关关系,以适度的经营规模种植油茶是提高农户生产效率的有效途径;家庭特征间接反映农户对油茶种植基础设施的保障,而机械生产投入直接代表了油茶种植的机械化程度和劳动生产率,二者是油茶生产技术效率提高的关键。This study measures the productive technical efficiency of camellia oleifera in different areas by data envelopment analysis DEA-EBM model, and the main affecting factors by multiple linear regression. The resuhs show that: the production technique of camellia oleifera is inefficient. There is not a positive correlation between scale of land management and production efficiency of Camellia oleifera that means moderate scale of land management is more effective. Family characteristics indirectly reflect the infrastructure condition of camellia oleifera planting while mechanical production inputs directly represents the degree of mechanization and labor productivity, both the prerequisite to improve the productive technical efficiency of camellia oleifera.
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