As national and regional economies strive for sustainable development, the need for metrics to measure regional wealth and to measure the regional outcomes of policy impacts is critical. Energy Rich Regions pose a particular need for regional capital assessment as policy makers seek to convert short term natural resource capital into longer term produced and human capital development. Current approaches to appraising regional wealth contain substantial data voids and rely heavily on estimation. The research explores the potential of geospatial technologies and related Global Spatial Data Infrastructures as empirical approaches to regional wealth estimation for monitoring regional economic policy outcomes.
Research Collaborators: Hodjat Ghadimi, Trevor Harris, & Tim Warner