农业部门的技术效率——基于条件分位数方法的证据

Sofia Kourtesi, K. Witte, Apostolos Polymeros
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引用次数: 1

摘要

由于农业公共融资的减少和农业投入与产出价格之间的负差距,农业预算约束日益紧缩,应迫使农场尽可能高效地工作。本文采用完全非参数方法来估计农业部门的潜在效率增益,同时考虑到农场之间的异质性。利用“条件α -分位数稳健部分前沿技术”,研究了专门从事谷物生产的农业企业的效率。数据来源于欧盟农场会计数据网络。结果表明,各农场在技术效率方面存在相当大的差异。我们发现有证据表明,拥有的土地与总土地之比、家庭与总劳动力之比、灌溉系统、农场所在地区和观察年份对生产率有统计上显著的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Efficiency in the Agricultural Sector-Evidence from a Conditional Quantile - Based Approach
The tightening farm budget constraints due to the reduction of the agricultural public financing and the negative gap between the ag ricultural input and output prices should force farms to work as efficient as possible. This paper applies a fully nonparametric approach to estimate potential efficiency gains in the agricultural sector while account- ing for heterogeneity among farms. Using the ‘conditional α -quantile robust partial frontier technique’ we investigate the efficiency of agricultural enterprises specialized in cereals production. The data originate from the EU Farm Accounting Data etwork. The results indicate a considerable variability in terms of technical efficiency among farms. We find evidence that the owned to total land, the family to total labor, the irri- gation system, the region at which the farm is located and the year of observation have a statistically significant impact on productivity.
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