STANDARD GROSS MARGINS IN THE NETHERLANDS

This report contains information on the Standard Gross Margins (SGM), as they are used to classify farms and to fix the economic size of farms. Information is provided on the calculation, with details on the input costs and the data sources. Besides that a comparison is made between the results of the aggregation of SGM and the values in the Economic Ac-count on Agriculture (EAA) for the Netherlands. The report is made on request of Eurostat.Agricultural Finance,

A multidimensional farming system typology

Farm Management,

Future land-use change in the Netherlands: an analysis based on a chain of models

Analyses of the impact of European policies on agricultural change are most often based on agricultural sector models. Such models have their limitations: they cannot specify the interaction between agriculture and the rest of the economy, and their spatial dimension is usually limited. Land use simulation models, on the other hand, usually depend on other models for assessing the demand for land. The consistency of those models with the assumptions and databases of the land use model is often not examined. This article reports on a research project where the links between a macroeconomic model, an agricultural sector model and a land use model were explicitly explored in order to arrive at a consistent model chain. This integrated framework was put to the test by applying it to two contrasting scenarios, which compare impact on agricultural incomes, land use and land management.land use, CAP, agricultural policy analyses, Netherlands, Agricultural and Food Policy, Land Economics/Use,

STANDARD GROSS MARGINS IN THE NETHERLANDS

This report contains information on the Standard Gross Margins (SGM), as they are used to classify farms and to fix the economic size of farms. Information is provided on the calculation, with details on the input costs and the data sources. Besides that a comparison is made between the results of the aggregation of SGM and the values in the Economic Ac-count on Agriculture (EAA) for the Netherlands. The report is made on request of Eurostat

Transfer of normal 99mTc-ECD brain SPET databases between different gamma cameras

A stereotactic, normal perfusion database is imperative for optimal clinical brain single-photon emission tomography (SPET). However, interdepartmental use of normal data necessitates accurate transferability of these data sets. The aim of this study was to investigate transfer of three normal perfusion databases obtained in the same large population of healthy volunteers who underwent sequential scanning using multihead gamma cameras with different resolution. Eighty-nine healthy adults (46 females, 43 males; aged 20-81 years) were thoroughly screened by history, biochemistry, physical and full neurological examination, neuropsychological testing and magnetic resonance imaging. After injection of 925 MBq technetium-99m labelled ethyl cysteinate dimer (ECD) under standard conditions, 101 scans were acquired from all subjects (12 repeat studies) on a triple-head Toshiba GCA-9300A (measured average FWHM 8.1 mm). Ninety-one sequential scans were performed on a dual-head Elscint Helix camera (FWHM 9.6 mm) and 22 subjects also underwent imaging on a triple-head Prism 3000 (FWHM 9.6 mm). Images were transferred to the same processing platform and reconstructed by filtered back-projection with the same Butterworth filter (order 8, cut-off 0.9 cycles/cm) and uniform Sorensen attenuation correction (mu =0.09). After automated rigid intrasubject registration, all subjects were automatically reoriented to a stereotactic template by a nine-parameter affine transformation. The databases were analysed using 35 predefined volumes of interest (VOIs) with normalisation on total VOI counts. For comparison, the high-resolution data were smoothed with a 3D Gaussian kernel to achieve moro similar spatial resolution. Hoffman phantom measurements were conducted on all cameras. Partial volume effects after smoothing varied between -6.5% and 10%, depending on VOI size. Between-camera reproducibility was 2.5% and 2.7% for the Toshiba camera versus the Helix and the Prism database, respectively. The highest reduction in between-camera variability was achieved by resolution adjustment in combination with linear washout correction and a Hoffman phantom-based correction. In conclusion, transfer of normal perfusion data between multihead gamma cameras can be accurately achieved, thereby enabling widespread interdepartmental use, which is likely to have a positive impact on the diagnostic capabilities of clinical brain perfusion SPET

Future land-use change in the Netherlands: an analysis based on a chain of models

Analyses of the impact of European policies on agricultural change are most often based on agricultural sector models. Such models have their limitations: they cannot specify the interaction between agriculture and the rest of the economy, and their spatial dimension is usually limited. Land use simulation models, on the other hand, usually depend on other models for assessing the demand for land. The consistency of those models with the assumptions and databases of the land use model is often not examined. This article reports on a research project where the links between a macroeconomic model, an agricultural sector model and a land use model were explicitly explored in order to arrive at a consistent model chain. This integrated framework was put to the test by applying it to two contrasting scenarios, which compare impact on agricultural incomes, land use and land management

Inputs for agris - checking the consistency of the agricultural sector database

MTT:n Heikki Lehtonen toimi työryhmässä ja haastateltuina olivat Suomesta Martti Kankaanpää (Statistics Finland), Arto Latukka (MTT) ja Olli Rantala (MTT). Hankkeen rahoitti Eurostat ja koordinoi LEI.vo