西班牙养猪技术效率的量化随机前沿方法

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Juan Cabas Monje, Bouali Guesmi, Amer Ait Sidhoum, José María Gil
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引用次数: 1

摘要

猪肉生产在西班牙农业食品体系中占有重要地位。必须对农民的经营效率进行评估,以确定适当的政策和管理战略。在此背景下,本研究旨在确定养猪场的技术效率(TE)性能,并检查可能影响西班牙生产系统的关键因素。为了做到这一点,分析依赖于西班牙养猪场样本的分位数随机前沿模型。结果显示,在选择的分位数中,生产前沿参数之间存在显着差异,这支持使用分位数回归方法的相关性。随机前沿的最佳分位数表明平均TE水平为75%。此外,实证研究结果表明,西班牙的养猪户更重视采用高科技来提高他们的经济和技术绩效以及他们在欧洲养猪市场的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach

The pig meat production plays a significant role in the Spanish agrofood system. The assessment of the efficiency performance with which farmers are operating is necessary to define adequate policy and management strategies. In this context, this study aimed to determine the technical efficiency (TE) performance of pig farms and to examine the key factors that may affect the production system in Spain. To do so, the analysis relies on the quantile stochastic frontier model using a sample of Spanish pig farms. Results show a significant difference between production frontier parameters across the selected quantiles, which support the relevance of using the quantile regression approach. The optimal quantile for the stochastic frontier indicates an average TE level of 75%. In addition, empirical findings suggest that pig farmers in Spain give more importance to the adoption of high technology to improve their economic and technical performance as well as their competitiveness at the European pig market.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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