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Eirik Romstad
Researcher at Norwegian University of Life Sciences
Publications - 46
Citations - 770
Eirik Romstad is an academic researcher from Norwegian University of Life Sciences. The author has contributed to research in topics: Agriculture & Public good. The author has an hindex of 15, co-authored 46 publications receiving 732 citations.
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Journal ArticleDOI
Regulating nonpoint-source pollution from agriculture: An integrated modelling analysis
Arild Vatn,Lars R. Bakken,Halstein Lundeby,Eirik Romstad,Per Kr. Rørstad,Arild Vold,Peter Botterweg +6 more
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Determinants of Egyptian Agricultural Exports: A Gravity Model Approach
TL;DR: In this article, a gravity model approach was employed to analyze the main factors influencing Egypt's agricultural exports to its major trading partners for the period 1994 to 2008 and found that a one percent increase in Egypt's GDP per capita causes exports to decrease, which is attributed to the fact that an increase in economic growth, besides the increasing population, raises the demand per capita for all normal goods.
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Agricultural policies in Norway and effects on soil erosion
TL;DR: In the early 1990s, the subsidies for land levelling in south-eastern Norway were discontinued due to the negative offsite effects on water quality together with overproduction as discussed by the authors.
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ECECMOD: an interdisciplinary modelling system for analyzing nutrient and soil losses from agriculture
TL;DR: In this paper, a set of principles for policy analysis of environmental problems is discussed, and the main focus is on integrating economic and ecological analyses through a mathematical modelling framework, and some results obtained by ECECMOD are presented to facilitate a discussion about the gains to be obtained by this kind of analysis.
Journal ArticleDOI
A methodology for integrated economic and environmental analysis of pollution from agriculture
Arild Vatn,Lars R. Bakken,Marina Azzaroli Bleken,Ole Hans Baadshaug,Haldor Fykse,Lars Egil Haugen,Helge Lundekvam,John Morken,Eirik Romstad,Per Kristian Rørstad,Arne Oddvar Skjelvåg,Trine A. Sogn +11 more
TL;DR: The methodology is founded on the idea of partitioning and implies structuring and simplifying existing variation in space and time into partitions that are considered homogeneous, and it is concluded that analyses with fairly high level of resolution are preferable.