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.
2003
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Geir Wæhler GustavsenSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Ola FlatenSammendrag
Norwegian dairy farmers are facing changes in the economic environment. Prices of products and concentrates are falling, while area and headage payments are increasing. The availability of grasslands has become more abundant. Impact of changes in economic conditions on production systems and profitability are examined. Linear programming models of dairy farms, with grain and beef as alternative enterprises, are designed to analyse the adjustments. Optimal production systems are largely determined by a combination of economic factors associated with the various inputs, outputs and support schemes together with availability of farm resources. The typical Norwegian dairy farm has a small quota compared to other farm resources. Producing a fixed milk quota with moderate yielding cows is then most profitable (1999-conditions). Early cut silage offered ad libitum is most profitable. Changes in the milk price have no effects on production as long as the quota is effective. If all of the land is utilised and grassland is the only possible land use, increased area payments have no production effects. If some grassland is not in use, area payments increase land utilisation as cows are fed less concentrate. If grain is also grown, increased grassland area payments result in more land allocated to grass. Forage and milk production become less intensive. By increasing headage payments, milk yield falls, as it is optimal to have more cows to produce the fixed quota output. This contributes to keep more grassland in production and in a more intensive forage production. Lower concentrate prices lead to increased use of concentrates and higher milk yields.
Sammendrag
FRAM (Forstått, Realistisk, Akseptert, Målbart) er SND's bdriftsutviklingsprogram for små og mellomstore bedrifter, fra 1993. FRAM-A(gro) ble utviklet, og er et ledelses- og strategiutviklingsprogram rettet mot gården som bedrift og bonden som bedriftsleder. Dette er en evaluering av programmet slik det er gjennomført i 8 pilotprosjekter inntill utgangen av 2002.
Sammendrag
At present there are nearly 20 000 milk producers in Norway, and approximately 10 per cent of them are members of the Norwegian Dairy Financial Recording (NDFR). The NDFR is an important basis for production and financial advice given by the dairies. There is a great interest among milk producers and advisors in comparing results from different farms to find out why some are doing well and some are doing not so well, and to learn from those doing well. Gross margin (GM) per litre of milk produced is the traditional indicator for efficiency. This data, as other data on milk production, indicate that there is a wide variation in gross margin per litre of milk between farms with seemingly similar conditions for producing milk. This is interpreted as a potential for improving the efficiency of many producers. However, for many reasons gross margin per litre of milk is not an ideal indicator. A new version of the NDFR contains more information, for instance information on fixed costs of roughages produced on the farm. It is hoped that the new version of the NDFR makes it a better tool for improving the profitability of milk production. In an ongoing project we try to use the NDFR to analyse who are doing well and why. We use a combination of Data Envelopment Analysis (DEA) and statistical analysis. For each farm we produce an efficiency index, and then we apply statistical methods to find factors that can explain the index. So far we have only very preliminary results. Management factors are important, but the NDFR data-base have very little information on management factors. It is planned to collect such data for a sample of farmers and include that in the study at a later stage.