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NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2021

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Sammendrag

This paper explores and sheds light on the elements, complexity, and dynamics of sociocultural adaptation to innovation and climate change in European Urban Agriculture. We use a scoping-exploratory review to search and unveil elements of sociocultural adaptation (SCA) in the existing literature on European urban agriculture. We categorize these elements into three main categories. This categorization can inform and be further explored, operationalized, and developed in new case-study-based research and serve as a starting point to better understand social adaptation to innovation and climate change in urban contexts, and beyond. Key results draw attention to (a) socio-technical and socio-ecological innovations as critical to sociocultural adaptation to innovation and climate change (b) some elements of SCA identified through the scoping review seem more central than others for the adaption process (c) we are left with the question of whether we need to bridge social science with biology sciences, such as human behavioral biology and neurobiology to find the answer to deeper questions about SCA.

Sammendrag

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.