Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 167-178 |
| Journal | Vadybos mokslas ir studijos - kaimo verslų ir jų infrastruktūros plėtrai : mokslo darbai |
| Volume | 37 |
| Issue number | 2 |
| Publication status | Published - 2015 |
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Keywords
- Dairy farms
- Efficiency
- Semiparametric analysis
- Production frontier
- Stochastic frontier analysis
Cite this
The trends in efficiency of Lithuanian dairy farms: a semiparametric approach. / Balezentis, Tomas; Balezentis, Alvydas; Li, Tianxiang.
In: Vadybos mokslas ir studijos - kaimo verslų ir jų infrastruktūros plėtrai : mokslo darbai, Vol. 37, No. 2, 2015, p. 167-178.Research output: Contribution to journal › Article
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TY - JOUR
T1 - The trends in efficiency of Lithuanian dairy farms: a semiparametric approach
AU - Balezentis, Tomas
AU - Balezentis, Alvydas
AU - Li, Tianxiang
PY - 2015
Y1 - 2015
N2 - This study aims at analysing the trends in efficiency of Lithuanian dairy farms and thus identifying the prospective development paths. The semiparametric approach based on nonparametric regression and Stochastic Frontier Analysis is applied for the analysis. The research relies on Farm Accountancy Data Network and covers family farms. The period of 2004–2011 is considered. In order to identify the underlying trends in dairy farming, we focus on such features as technical efficiency, partial elasticities, and elasticity of scale. The semiparametric approach yielded rather high efficiencies. Specifically, the average technical efficiency of 89% was observed. A decline in technical efficiency during 2004–2011 is present for both point estimates and associated bounds of the confidence interval. Analysis of the elasticity of scale implies that most of the farms could still increase their scale of operation. The obtained results were confirmed by a parametric random coefficients model.
AB - This study aims at analysing the trends in efficiency of Lithuanian dairy farms and thus identifying the prospective development paths. The semiparametric approach based on nonparametric regression and Stochastic Frontier Analysis is applied for the analysis. The research relies on Farm Accountancy Data Network and covers family farms. The period of 2004–2011 is considered. In order to identify the underlying trends in dairy farming, we focus on such features as technical efficiency, partial elasticities, and elasticity of scale. The semiparametric approach yielded rather high efficiencies. Specifically, the average technical efficiency of 89% was observed. A decline in technical efficiency during 2004–2011 is present for both point estimates and associated bounds of the confidence interval. Analysis of the elasticity of scale implies that most of the farms could still increase their scale of operation. The obtained results were confirmed by a parametric random coefficients model.
KW - Dairy farms
KW - Efficiency
KW - Semiparametric analysis
KW - Production frontier
KW - Stochastic frontier analysis
M3 - Article
VL - 37
SP - 167
EP - 178
JO - Vadybos mokslas ir studijos - kaimo verslų ir jų infrastruktūros plėtrai : mokslo darbai
JF - Vadybos mokslas ir studijos - kaimo verslų ir jų infrastruktūros plėtrai : mokslo darbai
SN - 1822-6760
IS - 2
ER -