Parts of Agricultural economy
|Component is implemented in:|
|Related IMAGE components|
Key policy issues
- What is the area of cropland and grassland required to support future food demand?
- What are the policy options to reduce agricultural land use and to safeguard global biodiversity, while ensuring food security?
- How can the implications of biofuels for land use and greenhouse gases be managed sustainably?
As a result of the growing world population and higher per capita consumption, production of food, feed, fibres and other products, such as bioenergy and timber, will need to increase rapidly in the coming decades. Even with the expected improvements in agricultural yields and efficiency, there will be increasing demand for more agricultural land. However, expansion of agricultural land will lead to deforestation and increases in greenhouse gas emissions, loss of biodiversity and ecosystem services, and nutrient imbalances. To reduce these environmental impacts, a further increase in agricultural yields is needed, together with other options such as reduced food losses, dietary changes, improved livestock systems, and better nutrient management.
In the IMAGE framework, future development of the agricultural economy can be calculated using the agro-economic model MAGNET (formerly LEITAP; Woltjer et al. (2011); Woltjer et al. (2014)). MAGNET is a computable general equilibrium (CGE) model that is connected via a soft link to the core model of IMAGE. Demographic changes and rising incomes are the primary driving factors of the MAGNET model, and lead to increasing and changing demand for all commodities including agricultural commodities. In response to changing demand, agricultural production is increasing, and the model also takes into account changing prices of production factors, resource availability and technological progress. In MAGNET, agricultural production supplies domestic markets, and other countries and regions are supplied via international trade, depending on historical trade balances, competitiveness (relative price developments), transport costs and trade policies. MAGNET uses information from IMAGE on land availability and suitability, and on changes in crop yields due to climate change and agricultural expansion on inhomogeneous land areas. The results from MAGNET on production and endogenous yield (management factor) are used in IMAGE to calculate spatially explicit land-use change, and the environmental impacts on carbon, nutrient and water cycles, biodiversity, and climate.
Although MAGNET is the standard agro-economic model used with IMAGE, other models can be linked with IMAGE. For example, the IMPACT model was used with IMAGE in the Millennium Ecosystem Assessment (Carpenter et al., 2006), and in a PBL study on protein supply, both the MAGNET and the IMPACT model were used to study the same set of scenarios. This allowed a systematic comparison between IMPACT and MAGNET (Stehfest et al., 2013). In IMAGE, demand for forest products can be derived from several sources, the most simplest being via a relationship with GDP or preferably, from specific forest demand models, such as EFI-GTM (Kallio et al., 2004). In the future, competition between forestry and other land uses can be included using the forestry module in MAGNET. Other land-use changes, such as infrastructure expansion, which do not require interregional links, are described in the land-use allocation model).
Input Agricultural economy component
|IMAGE model drivers and variables||Description||Source|
|Biofuel policy||Policies to foster the use of biofuels in transport, such as financial incentives and biofuel mandates and obligations.||Drivers|
|Capital supply||Capital available to replace depreciated stock and expand the stock to support economic growth.||Drivers|
|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.||Drivers|
|Labour supply||Effective supply of labour input to support economic activities, taking into account the participation rate of age cohorts.||Drivers|
|Population||Number of people per region.||Drivers|
|Technological change (crops and livestocks)||Increase in productivity in crop production (yield/ha) and livestock production (carcass weight, offtake rate).||Drivers|
|Trade policy||Assumed changes in market and non-market instruments that influence trade flows, subject to WTO rules and country and region regulation.||Drivers|
|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.||Land cover and land use|
|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.||Crops and grass|
|Income and price elasticities||Assumptions on income and price elasticities of demand, substitution elasticities, and many other elasticities,||GTAP database, GTAP database and own assumptions|
Output Agricultural economy component
|IMAGE model variables||Description||Use|
|Management intensity livestock||Management intensity of livestock, expressed at the regional level. This parameter is based on data and exogenous assumptions, i.e. current practice and technological change in livestock sectors, and is endogenously adapted within the Agricultural economy component.|
|Food availability per capita||Food availability per capita.|
|Livestock production||Production of livestock products (dairy, beef, sheep and goats, pigs, poultry).|
|Crop production||Regional production per crop.|
|Management intensity crops||Management intensity crops, expressing actual yield level compared to potential yield. While potential yield is calculated for each grid cell, this parameter is expressed at the regional level. This parameter is based on data and exogenous assumptions - current practice and technological change in agriculture - and is endogenously adapted in the agro-economic model.|
|Trade (all commodities)||Bilateral trade between regions per sector, including various crop and livestock sectors.||Final output|
|Commodity price||Commodity price per sector, including various crop and livestock sectors..||Final output|
|Demand (all commodities)||Demand per sector including various crop and livestock sectors.||Final output|