Browse data: Variable

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Variable > Is input for : Agricultural economy or Energy demand or Land degradation

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Showing below up to 23 results in range #1 to #23.

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  • Biofuel policy (Policies to foster the use of biofuels in transport, such as financial incentives and biofuel mandates and obligations., type: driver)
  • Capital supply (Capital available to replace depreciated stock and expand the stock to support economic growth., type: driver)
  • 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)
  • 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)
  • Labour supply (Effective supply of labour input to support economic activities, taking into account the participation rate of age cohorts., 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 (Available land for agriculture, per grid or region, depending on suitability for crops, and excluding unsuitable areas such as steep slopes, wetlands and protected areas., type: model (from/to model))
  • Lifestyle parameters (Lifestyle parameters influence the relationship between economic activities and demand for energy., type: driver)
  • Number of wet days - grid (Number of days with a rain event, per month; assumed constant after the historical period, type: historical data)
  • Population (Number of people per region., type: driver)
  • Potential crop and grass yield - grid (Potential crop and grass yield, changing over time due to climate change and possibly soil degradation. In some components, i.e. 'Agricultural economy' regional aggregations of the dataset which depend on the actual land-use area, are used., type: model (from/to model))
  • Precipitation - grid (Monthly total precipitation., 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)
  • 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)
  • Technological change (crops and livestocks) (Increase in productivity in crop production (yield/ha) and livestock production (carcass weight, offtake rate)., type: driver)
  • Temperature - grid (Monthly average temperature., type: model (from/to model))
  • Trade policy (Assumed changes in market and non-market instruments that influence trade flows, subject to WTO rules and country and region regulation., type: driver)

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