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Are the Agricultural Subsidies Based on the Farm Size Justified? Empirical Evidence from the Czech Republic
2022
Journal:  
Agriculture
Author:  
Abstract:

: The paper aims to explore the relationship between size, production orientation, and performance in the Czech agriculture and to answer the research question as to what extent a farm size and a product orientation of farm do matter in relation to its productivity and profitability. We use data from FADN CZ database (Farm Accountancy Data Network—Czech Republic) of conventional farms oriented on fieldcrops production, milk production, other grazing livestock and mixed production, and we cover the period from 2015–2020. Pursuing an econometric approach (ANOVA and multivariate regression analysis), we test productivity and profitability differentiation among the different-sized and different production orientation companies. Finally, subsidies and their effects on different groups of companies are assessed. The findings from testing our empirical model indicate that very large farms have statistically significantly higher total factor productivity than large farms, which perform better than medium and small farms. Average productivity of large-size farms compared to small and medium farms is 1.4 times higher in terms of total factor productivity, more than two times higher in terms of agricultural land productivity, and 3.2 times higher in terms of labour productivity. The findings show that farms with field production statistically significantly outperform farms with orientation on other grazing livestock and mixed production. Different levels of productivity are translated into differentiation in the profitability. The highest profitability ratios are achieved by large farms followed by very large, medium, and small ones. The assessment of ratio of subsidies to agricultural production shows that small farms received 2.3 times higher agricultural subsidies per unit of agricultural production compared to very large farms.

Keywords:

2022
Journal:  
Agriculture
Author:  
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Agriculture

Journal Type :   Uluslararası

Metrics
Article : 9.836
Cite : 6.434
2023 Impact : 0.04
Agriculture