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A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania
Author(s) -
Baležentis Tomas,
Kriščiukaitienė Irena,
Baležentis Alvydas
Publication year - 2014
Publication title -
agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.29
H-Index - 82
eISSN - 1574-0862
pISSN - 0169-5150
DOI - 10.1111/agec.12108
Subject(s) - data envelopment analysis , nonparametric statistics , multivariate statistics , econometrics , subsidy , cluster analysis , lithuanian , agriculture , statistics , cluster (spacecraft) , sample (material) , economics , agricultural science , mathematics , agricultural economics , computer science , environmental science , geography , market economy , linguistics , philosophy , chemistry , archaeology , chromatography , programming language
This article presents insights into the efficiency of Lithuanian family farms. The research covers the years 2004–2009 and is based on farm‐level Farm Accountancy Data Network data. Bootstrapped data envelopment analysis was employed to obtain efficiency scores, whereas stochastic kernels and multivariate methods, viz. fuzzy clustering and nonparametric regression, were utilized to assess the impact of selected determinants on efficiency. Clustering analysis indicated that the efficiency change paths specific for the analyzed sample differed in both their average levels and ranges. Furthermore, it was concluded that Lithuanian agricultural policy should focus on increasing the efficiency of crop farms. Cluster analysis suggested that production subsidies might be having a negative effect on efficiency.