Publikasjoner

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.

2020

Sammendrag

In studies of consumption of local food specialties (LFSs), individual personalities are rarely mentioned. In this article, we want to expand on and provide a nuanced explanation of the characteristics of these consumers of these products, asking: Are there any personality traits that characterize these consumers? We use the Big Five personality model to unpack the relationship between individuals' personalities and choices of LFS in the Norwegian context. The model consists of the following five personal traits: extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience. These personality traits are latent, but through questions regarding behavior, the traits may be revealed. To construct latent variables to measure these traits, we apply the graded response model. Furthermore, socioeconomic variables are combined with personality traits in logistic regression models to find the relationships between personality and choice of Norwegian LFSs. Our results show that in all models the latent variable Openness to experience was one of the most important predictors of all the choices of LFS made by individuals. Openness to experience is characterized by fantasy, aesthetic sensitivity, attentiveness to inner feelings, preference for variety, and intellectual curiosity. The consequence of the connection between Openness to experience and LFS is that stakeholders may take this into account when seeking to increase sales.

Til dokument

Sammendrag

This report is part of the research project called Farm-based day care services for people With dementia: quality development through interdisciplinary collaboration. We have studied farmers who are offering these services and the municipalities who buy the services on behalf of their citizens, and how these actors collaborate.

Sammendrag

Miljødirektoratet har gitt NIBIO i oppdrag å oppdatere klimatiltaket «Overgang fra rødt kjøtt til vegetabilsk og fisk». Tiltaket inngår i Regjeringens bestilling av «Klimakur 2030». Notatet er utarbeidet i henhold til oppdragsbeskrivelse og bestilling fra Miljødirektoratet. Omfang og metode for gjennomføring av oppdraget er i det alt vesentlige gitt av oppdragsgiver. Tiltaket er utredet i tråd med metodikk beskrevet i «Veileder for utredning av klimatiltak som skal brukes inn i 2030-analyser». Det er gjennomført samfunnsøkonomiske og privatøkonomiske analyser, samt identifisert barrierer og virkemidler for tiltaket. Kostholdene som ligger til grunn for analysen er utarbeidet i dialog med Miljødirektoratet, Landbruksdirektoratet og Helsedirektoratet. Den endelige utformingen av kostholdene er foretatt av forfatterne. Notatet er skrevet av Klaus Mittenzwei (prosjektleder), Finn Walland, Anna Brigitte Milford (alle NIBIO) og Arne Grønlund (pensjonist og tidligere ansatt i NIBIO). Notatet er kvalitetssikret i henhold til NIBIOs regelverk. Agnar Hegrenes har vært fagfelle for prosjektet. Geir Gustavsen, Øyvind Hoveid, Ivar Pettersen, Erik Revdal, Sjur Spildo Prestegard og Per Stålnacke har lest utkast til notatet og kommet med verdifulle innspill. I tillegg er det innhentet kommentarer fra Karine Nyborg (Universitetet i Oslo) og Sverre Kverndokk (Frischsenteret ved Universitetet i Oslo) om samfunnsøkonomisk verdsetting av helseeffekter. Gjenværende feil og mangler er forfatternes ansvar. Forfatterne understreker at noen av de metodene som ligger til grunn for oppdraget, er omdiskuterte og innebærer bruk av usikre data. Til tross for disse svakhetene mener forfatterne at det er faglig forsvarlig å bruke disse og at analysen gir verdifull, om enn ufullstendig, innsikt i effektene av en gjennomføring av dette klimatiltaket.

Sammendrag

The term Circular Regulations (CR) is introduced to describe a broad regulatory framework, designed with a circular understanding of the economy. Central in this discussion is the transition towards bioeconomy, a term that is not always used consistently, and sometimes treated in the same way as circular economy (CE), although these terms are not necessarily equivalent. In this article we endorse a systemic interpretation of CE, where a continuum of approaches, extending from reusing/recycling/upcycling to refuse/rethink/reduce, gradually replace existing linear “end-of-life” concepts. CE is a key prerequisite for the bioeconomy shift, a transition that further builds on CE, where circular design and processes are further augmented with increased resource utilization and intensive applications of innovative science and technology. The prevailing regulatory arrangements in CE, however, remain either fragmented or largely based on pre-existing policies, drafted to address issues of the linear economy, thus presenting several limitations when dealing with the underlying paradigm shift: complex market relationships that go beyond the standard neoclassical model. CR adopts an encompassing approach to regulatory design; it is not meant to be a rigid set of rules, but rather a regulatory framework where institutions, market rules, and business practice explicitly account for environmental and socially responsible activities, while securing an enabling environment for innovation. CR directly reflects on CE, where bioeconomy growth is informed by science, enabled by technology, driven by business, and supported by relevant policies and institutional frameworks. The article presents a conceptual setting towards CR and a practical example for its development.

Sammendrag

The study aimed to extend the static concepts of multiproduct technical efficiency and determinants into a dynamic setting within the input distance function framework. The existing literature in performance analysis of the dairy farms in Norway based on static modelling and thus ignores the inter-temporal nature of production decisions. The empirical application focused on the farm-level analysis of the Norwegian dairy sector for 2000- 2018. The dynamic efficiency allows analysing the performance of dairy farms in regards of inter-temporal optimization of the investment behaviour. The analysis shows that the static model efficiency study in the previous studies underestimate the performance of the dairy farms. The marginal effects experience positively correlated with dairy farm technical efficiency whereas copped subsidy and asset debt ratio negatively correlated to the performance of the dairy farm.