Original scientific paper

https://doi.org/10.1080/1331677X.2016.1193946

Dynamics of the total factor productivity in Lithuanian family farms with a statistical inference: the bootstrapped Malmquist indices and Multiple Correspondence Analysis

Tomas Baležentis orcid.org/0000-0002-3906-1711
Alvydas Baležentis

Abstract

The paper combines the bootstrapped Malmquist productivity index
and the Multiple Correspondence Analysis to measure the changes in
the total factor productivity. The bootstrapped Malmquist productivity
index enables us to identify insignificant change in the total factor
productivity, whereas the Multiple Correspondence Analysis relates
the estimates to the environmental variables. A sample of Lithuanian
family farms is utilised to test the proposed framework. Specifically,
the research covers 200 family farms and the period of 2004–2009. The analysis showed that the total factor productivity decreased by some 15–18% during 2004–2009 depending on the farming type. Multiple Correspondence Analysis suggested that all of the farming types exhibited change in the total factor productivity close to the average, although the crop farming was located in the more stochastic area.

Keywords

Total factor productivity; bootstrapped Malmquist index; Multiple Correspondence Analysis; family farms

Hrčak ID:

171750

URI

https://hrcak.srce.hr/171750

Publication date:

22.12.2016.

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