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Efficiency and its determinant factors for smallholder farms in the grain for green program on the Loess Plateau, China.

机译:黄土高原地区绿色粮食计划中小农户的效率及其决定因素。

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摘要

A nonparametric frontier approach, data envelopment analysis, was used to calculate technical, pure technical, cost, allocative and scale efficiencies of 112 farms participating in the Grain for Green Program on the Loess Plateau in China. The results indicate substantial cost inefficiencies. The main source of cost inefficiency was allocative inefficiency although considerable technical inefficiency also exists. Technical inefficiency resulted slightly more from scale inefficiency than from pure technical inefficiency. Scale inefficiency was mostly due to the suboptimal scale of farms. Regression analysis of explanatory variables against technical efficiency, allocative efficiency and scale efficiency suggested that LG_Agri (indicator for farm size) was the only variable that was significantly related to all three efficiency indices. Other significant variables include Remittance Ratio (indicator for rural-urban migration), Tenancy Ratio (indicator for land tenancy) and Simpson Index (indicator for land fragmentation). Our findings prompt policy suggestions that would facilitate labor mobility, provide more secure land tenure and increase land consolidation, while avoiding further withdrawal of cultivated land unless explicit measures to alleviate the potential impact on production efficiency are followed.
机译:采用非参数前沿方法,数据包络分析,计算了参与中国黄土高原绿色粮食计划的112个农场的技术,纯技术,成本,分配和规模效率。结果表明大量的成本低效。成本效率低下的主要根源是分配效率低下,尽管也存在相当大的技术效率低下。技术效率低下的原因是规模效率低下,而不是纯粹的技术效率低下。规模效率低下主要是由于农场规模不够理想。对技术效率,分配效率和规模效率的解释变量的回归分析表明, LG_Agri (农场规模指标)是唯一与所有三个效率指标均显着相关的变量。其他重要变量包括汇款比率(用于农村向城市迁移的指标),租赁比率(用于土地租赁的指标)和 Simpson指数(用于土地破碎化)。我们的发现提出了政策建议,这些政策建议将有利于劳动力流动,提供更安全的土地使用权并增加土地整理,同时避免进一步撤回耕地,除非遵循明确的措施以减轻对生产效率的潜在影响。

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