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Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Agricultural Economics (Zemědělská ekonomika) [ISSN:] 1805-9295 [Volume:] 67 [Issue:] 11 [Publisher:] Czech Academy of Agricultural Sciences [Place:] Praha [Year:] 2021 [Pages:] 445-456
Verlag: 
Czech Academy of Agricultural Sciences, Praha
Zusammenfassung: 
Agricultural structures are quite heterogeneous across the European Union (EU), and it is likely that the underlying technology also differs across regions. In this article, we claim that the heterogeneity of agriculture across the EU affects the process of income creation (i.e. the relative importance of the factors of farm income differ for different agricultural models). A panel of farms representative for 125 regions reporting to the EU Farm Accountancy Data Network (FADN) during the period from 2007 to 2018 is used. In this article, those regions are grouped into three clusters. A system generalised method of moments (GMM) panel estimator is applied to each cluster. The results showed that total factor productivity (TFP), relative prices and agricultural subsidies make different contributions to farm net value added (FNVA). In particular, the income growth of farms in regions dominated by large farms seems to react more to marginal changes of the explanatory variables.
Schlagwörter: 
cluster analysis
dynamic panel models
Färe-Primont index
farm income
total factor productivity
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