Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/257168 
Authors: 
Year of Publication: 
2021
Citation: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 9 [Issue:] 1 [Article No.:] 10 [Publisher:] MDPI [Place:] Basel [Year:] 2021 [Pages:] 1-10
Publisher: 
MDPI, Basel
Abstract: 
Previous application of the stochastic frontier model and subsequent measurement of the performance of the crop sector can be criticized for the estimated production function relying on the assumption that the underlying technology is the same for different agricultural systems. This paper contributes to estimating regional efficiency and the technological gap in Norwegian grain farms using the stochastic metafrontier approach. For this study, we classified the country into regions with district level of development and, hence, production technologies. The dataset used is farm-level balanced panel data for 19 years (1996-2014) with 1463 observations from 196 family farms specialized in grain production. The study used the true random effect model and stochastic metafrontier analysis to estimate region level technical efficiency (TE) and technology gap ratio (TGR) in the two main grain-producing regions of Norway. The result of the analysis shows that farmers differ in performance and technology use. Consequently, the paper gives some regionally and farming system-based policy insights to increase grain production in the country to achieve self-sufficiency and small-scale farming in all regions.
Subjects: 
grain production
metafrontier
panel data
regional development
technical efficiency
JEL: 
R58
O52
Q16
C23
D24
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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