Browse data: Variable

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Showing below up to 29 results in range #1 to #29.

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  • Actual crop and grass production - grid (Actual crop and grass production on agricultural land, based on potential yield and management intensity, type: model (from/to model))
  • Animal stocks (Number of animals per category: non-dairy cattle; dairy cattle; pigs; sheep and goats; poultry., type: model (from/to model))
  • Demand for primary energy (Total demand for energy production. Sum of final energy demand and energy inputs into energy conversion processes., type: model (from/to model))
  • Electricity price (The price of electricity., type: model (from/to model))
  • Energy efficiency technology (Model assumptions determining future development of energy efficiency., type: driver)
  • Energy intensity parameters (Set of parameters determining the energy use per unit of economic activity (in absence of technical energy efficiency improvements)., type: driver)
  • Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
  • Fertiliser use efficiency (Ratio of fertiliser uptake by a crop to fertiliser applied., type: driver)
  • GDP per capita (Gross Domestic Product per capita, measured as the market value of all goods and services produced in a region in a year, and is used in the IMAGE framework as a generic indicator of economic activity., type: driver)
  • GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., type: driver)
  • Land cover, land use - grid (Multi-dimensional map describing all aspects of land cover and land use per grid cell, such as type of natural vegetation, crop and grass fraction, crop management, fertiliser and manure input, livestock density., type: model (from/to model))
  • Land supply for bioenergy - grid (Land available for sustainable bioenergy production (abandoned agricultural land and non-forested land)., type: model (from/to model))
  • Learning rate (Determines the rate of technology development in learning equations., type: driver)
  • Lifestyle parameters (Lifestyle parameters influence the relationship between economic activities and demand for energy., type: driver)
  • Livestock rations (Determines the feed requirements per feed type (food crops; crop residues; grass and fodder; animal products; scavenging), specified per animal type and production system (extensive/intensive/backyard/intermediate/intensive/broiler/laying hens)., type: driver)
  • Manure spreading fraction (Fraction of manure produced in staples that is spread on agricultural areas., type: driver)
  • Nitrogen deposition - grid (Deposition of nitrogen., type: model (from/to model))
  • Population (Number of people per region., type: driver)
  • Population - grid (Number of people per gridcell (using downscaling)., type: driver)
  • Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
  • Preferences (Non-price factors determining market shares, such as preferences, environmental policies, infrastructure and strategic considerations, used for model calibration., type: driver)
  • Primary energy price (The price of primary energy carriers based on production costs., type: model (from/to model))
  • Private consumption (Private consumption reflects expenditure on private household consumption. It is used in IMAGE as a driver of energy., type: driver)
  • Production system mix (Livestock production is distributed over two systems for dairy and beef production (intensive: mixed and industrial; extensive: pastoral grazing), and to three systems for pigs (backyard, intermediate, intensive) and poultry (backyard, boilers, laying hens) with specific intensities, rations and feed conversion ratios., type: driver)
  • Secondary energy price (The secondary energy price of each energy carrier at the end-use level (coal, oil, gas, bio-energy, electricity, hydrogen) is calculated based on (1) the primary energy price, (2) energy taxes and subsidies, (3) the costs of energy conversion throughout the energy supply chain and (4) a correction factor., type: model (from/to model))
  • Sector value added (Value Added for economic sectors: Industry (IVA), Services (SVA) and Agriculture (AVA). These variables are used in IMAGE to indicate economic activity., type: driver)
  • Taxes and other additional costs (Taxes on energy use, and other additional costs, type: driver)
  • Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
  • Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)

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