Dynamics of farm performance and policy impacts: Main findings

J. Antón, J. Sauer
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引用次数: 0

Abstract

Increasing productivity at farm level is a key policy objective across most countries and fundamental to the overall performance of agricultural and food systems. This paper applies dynamic statistical methods to farm level data in order to identify the determinants of farm performance over time, in terms of productivity and measures of local sustainability. The analysis sheds light on the effects of policies on productivity, and the links between productivity and sustainability outcomes. It draws on key findings from seven case studies: crop farms in Australia, France, Italy and the United Kingdom (England and Wales); and dairy farms in the Czech Republic, Denmark and Norway, with different sample periods, from the most recent three decades to the last five years. A key finding is that policy changes increasing the degree of decoupling of payments have a positive impact on productivity. Furthermore, with the right incentives, productivity growth can be more locally sustainable insofar as farms can produce more output with less inputs that harm the environment. The detailed background work on the seven samples of crops and dairy farms in the above countries is available in OECD Food, Agriculture and Fisheries Paper N°165.
农业绩效动态和政策影响:主要发现
提高农场一级的生产力是大多数国家的一项关键政策目标,对农业和粮食系统的整体绩效至关重要。本文将动态统计方法应用于农场层面的数据,以便在生产力和当地可持续性措施方面确定农场绩效随时间的决定因素。该分析揭示了政策对生产率的影响,以及生产率与可持续性成果之间的联系。它借鉴了七个案例研究的主要发现:澳大利亚、法国、意大利和英国(英格兰和威尔士)的农作物农场;以及捷克共和国、丹麦和挪威的奶牛场,从最近30年到最近5年的不同样本时期。一个重要的发现是,增加支付脱钩程度的政策变化对生产率有积极影响。此外,有了正确的激励措施,生产力增长可以在当地更加可持续,因为农场可以用更少的破坏环境的投入生产更多的产出。关于上述国家七个作物和奶牛场样本的详细背景工作见经合组织粮食、农业和渔业文件N°165。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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