ActMap – Mapping Economic Activity at Fine Spatial and Sectoral Resolution
This project develops a spatial inventory of value added (GDP) in Norway at fine spatial and sectoral scale. Target use cases include:
- Navigating climate, disaster, or conflict-driven risk
- Developing climate adaptation scenarios
- Assessing supply chain vulnerability
- Assessing how tax revenue stands at risk from climate damage or other events
- Constructing climate “damage functions” relating temperature rise to productivity loss
- Policy and cost benefit analyses
Daniel Moran
Senior Scientist, PIFrancis Barre
ScientistRiccardo Boero
Senior ScientistSignificantly limiting the value of remotely sensed environmental data is the state of economic activity inventories which document the activities driving, and standing at risk from, stresses such as air pollution, drought, or floods. Current activity models have poor spatial resolution (~1°), poor activity type resolution, and are not measuring either GHG responsibility or physical climate risk.
A more effective method for linking environmental variables to economic NACE sectors, which both drive and stand at risk from environmental change, would widen NILU’s ability to contribute to policy formation, and deliver novel information to businesses on their environmental impacts and risks. Examples of research questions which could be addressed with a combined environmental-economic model include studying: the environmental implications of a tax or subsidy at the municipal or national scale; the wider economic implications of an environmental policy or shock in a specific location; and supply chain risk, e.g. due to physical climate risk.
This project will develop a gridded raster model of at least NACE-coded economic activities (10km grid cells). We will start in Norway (using Brunnøsund Register, CORINE, ETS, microdata.no, and other local high-quality activity datasets).