Izvorni znanstveni članak
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
Sažetak
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.
Ključne riječi
Total factor productivity; bootstrapped Malmquist index; Multiple Correspondence Analysis; family farms
Hrčak ID:
171750
URI
Datum izdavanja:
22.12.2016.
Posjeta: 896 *