Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2012
Authors
PJA Withers L May H.P. Jarvie P. Jordan D. Doody R.H. Foy Marianne Bechmann S. Cooksley R. Dils N. DealAbstract
No abstract has been registered
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No abstract has been registered
Authors
Carl Jonas Jorge Spetz Jihong Liu Clarke Merete Dees Sissel Haugslien Roar Moe Dag-Ragnar BlystadAbstract
No abstract has been registered
Authors
Helge Bonesmo Shannan Little Odd Magne Harstad Karen A. Beauchemin Arne Oddvar Skjelvåg Otto SjelmoAbstract
No abstract has been registered
Abstract
During recent decades, forests have expanded into new areas throughout the whole of Norway. The processes explained as causing the forest expansion have focused mainly on climate or land use changes. To enable a spatially explicit separation of the effects following these two main drivers behind forest expansion, the authors set out to model the potential for natural forest regeneration following land use abandonment, given the present climatic conditions. The present forest distribution, a number of high-resolution land cover maps, and GIS methods were used to model the potential for natural forest regeneration. Furthermore, the results were tested with independent local models, explanatory variables and predictive modelling. The modelling results show that land use abandonment, in a long-term perspective, has the climatic and edaphic potential to cause natural forest regeneration of 48,800 km2, or 15.9% of mainland Norway. The future natural forest regeneration following land use change or abandonment can now be spatially separated from the effects of climate changes. The different independent model tests support the main findings, but small fractions of the modelled potential natural forest regeneration will probably be caused by other processes than land use abandonment.
Authors
Erlend NybakkAbstract
This study examines the relationships among learning orientation, firm innovativeness and financial performance in the context of the Norwegian wood industry. A questionnaire-based survey was sent to the CEOs of firms in the wood industry in Norway (241 usable replies, response rate of 49 percent). Learning orientation and firm innovativeness were conceptualised and analysed as latent second-order constructs by using structural equation modelling. The findings show that learning orientation has a positive effect on firm innovativeness in the traditional manufacturing industry. In addition, learning orientation was found to positively affect financial performance via the full mediating effect of firm innovativeness. Furthermore, firm innovativeness was also found to have an independent positive effect on financial performance. No direct effect of learning orientation on financial performance was found. According to the data, firm age also does not appear to affect the relationship between learning orientation and firm innovativeness.
Authors
Sekhar Udaya Nagothu M. Muralidhar M. Kumaran B. Muniyandi R. Umesh K.S. Krishna Prasad Sena S. De SilvaAbstract
Approximately 70% of shrimp consumed globally is farmed. India is ranked among the top five shrimp farming countries globally, and occurs mainly in the eastern coastal state of Andhra Pradesh (AP). More than 90% of the farms are less than 2 ha and are farmer owned, operated and managed. The objective of this study was to increase our understanding of climatic and socio-economic factors influencing this sector, through a survey of 300 shrimp farmers in AP in 2009/10. The farming communities were divisible into two groups: members of a society/cooperative and those operating individually. The latter were large scale adopting more intensive practices. The average production cost was Indian Rupees (IRS) 80,186 ha-1 and net income in summer and winter was IRS 221,901 and IRS 141,715, respectively. The mean technical efficiency estimated using Stochastic frontier function was 7% and 54%. The present study attempts to explain the difference in efficiencies using socio-economic and climatic variables, the latter being a novel approach. Among socio-economic variables, farming experience and membership in society were found to have a significant influence to improve technical and economic efficiencies. Further improvements in identifiable facets of the practices and a consequent increase in technical efficiency will make the sector less vulnerable to climatic change impacts.
Abstract
No abstract has been registered
Authors
Marianne BechmannAbstract
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Abstract
No abstract has been registered