2019
DOI: 10.1016/j.gfs.2019.06.001
|View full text |Cite
|
Sign up to set email alerts
|

What is driving livestock total factor productivity change? A persistent and transient efficiency analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
9
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 20 publications
(10 citation statements)
references
References 31 publications
0
9
0
Order By: Relevance
“…quality and quantity of feed, health care and housing), which are likely to have occurred and contributed positively to the average milk yield of animals. In absence of information about possible changes in inputs and the costs related to such changes, conclusions on the impact of these trends in terms of costs and benefits and more generally in terms of the overall economic efficiency of the system ( Acosta and De los Santos-Montero, 2019 ) cannot be drawn. Karugia et al (2001) concluded that crossbreeding of cattle had a positive effect on the Kenyan economy and social welfare, although they speculated that the introduction of exotic genes may have not been beneficial at farm level, because improved animal productivity also involved accrued input costs.…”
Section: Discussionmentioning
confidence: 99%
“…quality and quantity of feed, health care and housing), which are likely to have occurred and contributed positively to the average milk yield of animals. In absence of information about possible changes in inputs and the costs related to such changes, conclusions on the impact of these trends in terms of costs and benefits and more generally in terms of the overall economic efficiency of the system ( Acosta and De los Santos-Montero, 2019 ) cannot be drawn. Karugia et al (2001) concluded that crossbreeding of cattle had a positive effect on the Kenyan economy and social welfare, although they speculated that the introduction of exotic genes may have not been beneficial at farm level, because improved animal productivity also involved accrued input costs.…”
Section: Discussionmentioning
confidence: 99%
“…This specification can be estimated through a multi-step procedure as in the work of Kumbhakar et al (2014) or through a more efficient simulated maximum likelihood estimation (MLE) method, as in the work of Filippini and Greene (2015) and Colombi et al (2014). The multi-step procedure involves easier computation and provides consistent estimates, which justify the extensive use in the literature (e.g., Agasisti and Gralka 2019;Acosta and Santos-Montero 2019), as is the case for this paper.…”
Section: Methodsmentioning
confidence: 99%
“…For the first time, total factor energy efficiency will be defined and measured by distinguishing the components in stochastic frontier model, where individual effects are disentangled and long-and short-run inefficiencies are measured at the provincial level in China. The disparity between individual heterogeneity, long run efficiency, short run efficiency and disturbance term, which contributes to exact estimation and recognition of efficiency, has been specified within stochastic frontier model in recent years (Acosta and De los Santos-Montero, 2019;Musau et al, 2020), but lacks detailed empirical evidence on China. Here, individual effect is used as a different term from efficiency and reveal heterogeneity in characteristics between provinces.…”
Section: Introductionmentioning
confidence: 99%