The two measures of productivity prevail in the economic researches, namely total factor productivity and partial productivity (single factor productivity). This paper aimed at analysing the partial factor productivity in the Lithuanian family farms and identifying the associated policy im-plications. Specifically, the partial productivities of labour, land, intermediate consumption, and as-sets were considered. The multiplier data envelopment analysis (DEA) model was employed for the analysis. The research covered the period of 2004-2009 and relied on the data from 200 family farms. The aggregate inputs were treated as the dimensionless measures of the partial productivity identifying strengths and weaknesses of the productive technology associated with respective fac-tors (inputs). Decomposition of the aggregate inputs showed that the crop and mixed farming were the most labour intensive activities, i. e. labour shares in the aggregate inputs were lower than those for the livestock farms. Land and intermediate consumption, on the other hand, were found out to be the two relatively more productive factors specific with generally increasing shares in the aggre-gate input during 2004-2009.
Key words: partial productivity, family farms, Lithuania, data envelopment analysis.
JEL codes: C440, C610, Q100, Q130.
Baležentis, T. 2013. Partial factor productivity in Lithuanian family farms: the multiplier data envelopment analysis approach, Management theory and studies for rural business and infrastructure development =Vadybos mokslas ir studijos - kaimo verslų ir jų infrastruktūros plėtrai 35(1): 23-31. ISSN 1822-6760 [EBSCO host: Business source complete nuo 2006 (EBSCO sąrašas) Central & Eastern European Academic Source nuo 2006 (EBSCO sąrašas); Ulrich’s; IndexCopernicus].
