Abstract
Original language | English |
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Pages (from-to) | 643-664 |
Journal | Economic Research-Ekonomska Istrazivanja |
Volume | 29 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2016 |
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Keywords
- Total factor productivity
- Bootstrapped Malmquist index
- Multiple correspondence analysis
- Family farms
Cite this
Dynamics of the total factor productivity in Lithuanian family farms with a statistical inference: the bootstrapped Malmquist indices and multiple correspondence analysis. / Baležentis, Tomas; Baležentis, Alvydas.
In: Economic Research-Ekonomska Istrazivanja, Vol. 29, No. 1, 2016, p. 643-664.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Dynamics of the total factor productivity in Lithuanian family farms with a statistical inference: the bootstrapped Malmquist indices and multiple correspondence analysis
AU - Baležentis, Tomas
AU - Baležentis, Alvydas
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Total factor productivity
KW - Bootstrapped Malmquist index
KW - Multiple correspondence analysis
KW - Family farms
U2 - 10.1080/1331677X.2016.1193946
DO - 10.1080/1331677X.2016.1193946
M3 - Article
VL - 29
SP - 643
EP - 664
JO - Economic Research-Ekonomska Istrazivanja
JF - Economic Research-Ekonomska Istrazivanja
SN - 1331-677X
IS - 1
ER -