GTAP Network: Member Display
| Member Details | ||||
|---|---|---|---|---|
Biography James Lennox is currently a Senior Research Fellow at the Centre of Policy Studies in Melbourne, Australia. His current research interests include urban economics and economic geography, artificial intelligence, and economic dynamics. At CoPS, James has developed both comparative static and dynamic spatial economic models of commuting, trade and internal migration. He has used these models to assess the spatial economic impacts of increased working from home, as well as the scale and distribution of benefits of transport network improvements. This has included work for New South Wales and Victorian government clients on economic appraisal of rail, road and urban planning proposals. James has also worked on the economic impacts of artificial intelligence on occupational labour markets. This originated in a project for Jobs and Skills Australia. Ensuing research was presented as part of an organised special session on AI at the 2026 GTAP Conference in Kyoto. James has a particular interest in economic dynamics and has recently developed CoPS' new Quarterly Intertemporal Output, Labour-market and Linkages model (QUOLL). The solution of this detailed, New Keynesian-style model is practical thanks to use of a highly efficient time-block diagonal factorisation algorithm. Prior to joining CoPS, James held a Marie Curie Fellowship at the Fondazione Eni Enrico Mattei (FEEM) in Venice. His research there concerned climate policy, capital investments and technical change. He has also worked for Landcare Research, NZ, where he led applied economic research on climate and other policies. This included development of a global integrated assessment modelling framework for New Zealand. From 2001-2005 James worked for the CSIRO in Canberra, Australia. James holds a PhD (2001) and a BE with first class honours (1997) in chemical engineering from the University of Queensland, Australia. The emphasis of his doctoral research was on mathematical and statistical modeling of engineering processes. |
|
|
GTAP-Related Resources
|
|---|
Last Modified: 4/15/2026 7:55:07 AM
