Purpose

The literature argues on ambiguous impacts of different types of the common agricultural policy (CAP) subsidies on farm technical efficiency (TE). The purpose of this paper is to estimate and analyse the TE and the impact of the CAP subsidies on the TE of wine farms in Hungary using the farm accountancy data network data set in the period 2013–2019.

Design/methodology/approach

The authors use stochastic frontiers analysis (SFA) models to estimate the TE scores for the Hungarian wine farms with four wine farm-level inputs in terms of agricultural land, labour, capital and intermediate consumption. The TE scores are explained by the CAP subsidies and economic wine farm size. The different SFA models were applied with robustness tests to investigate the drivers of the TE values of wineries.

Findings

Like for Hungarian farms in general, the distribution of the wine farm structure is a dual with a greater number of smaller wine farms and a smaller number of bigger wine farms. The agricultural land, capital and intermediate consumption are significantly positively associated with the wine farm TE. With higher capital intensity wine farm TE increase. The results imply that the CAP subsidies decrease the TE of the Hungarian wine farms, whereas economic farm size increase.

Originality/value

To the best of the authors’ knowledge, this is one of the first specific efficiency studies on the wine sector in the Central and Eastern European region and the first one for Hungary to evaluate the TE at wine farm level and to assess the impact of CAP subsidies and economic farm size on wine farm (in)efficiency to apply production technologies and use farm resources. This study is among the first that applied the fixed-effects stochastic frontier model at the wine farm level to measure the drivers of the TE scores.

中文翻译：

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共同农业政策补贴与匈牙利葡萄酒庄园的技术效率

目的

文献争论了不同类型的共同农业政策（CAP）补贴对农业技术效率（TE）的模糊影响。本文的目的是利用 2013-2019 年期间农场会计数据网络数据集来估计和分析 TE 以及 CAP 补贴对匈牙利葡萄酒农场 TE 的影响。

设计/方法论/途径

作者使用随机前沿分析 (SFA) 模型来估计匈牙利葡萄酒农场的 TE 分数，其中包括农业用地、劳动力、资本和中间消耗方面的四个葡萄酒农场层面的投入。TE 分数由 CAP 补贴和经济葡萄酒农场规模来解释。应用不同的 SFA 模型进行稳健性测试，以研究酿酒厂 TE 值的驱动因素。

发现

与匈牙利的一般农场一样，葡萄酒农场结构的分布是双重的，小型葡萄酒农场数量较多，大型葡萄酒农场数量较少。农业用地、资本和中间消耗与葡萄酒农场TE显着正相关。随着资本密集度的提高，葡萄酒农场的 TE 也随之增加。结果表明，CAP 补贴降低了匈牙利葡萄酒农场的 TE，而经济农场规模却增加了。

原创性/价值

据作者所知，这是中东欧地区第一个针对葡萄酒行业的具体效率研究之一，也是匈牙利第一个在葡萄酒农场层面评估 TE 并评估 CAP 影响的研究补贴和经济农场规模对葡萄酒农场应用生产技术和利用农场资源效率的影响。这项研究是首批在葡萄酒农场层面应用固定效应随机前沿模型来衡量 TE 分数驱动因素的研究之一。