Associate Professor John Asafu-Adjaye

Associate Professor

School of Economics
Faculty of Business, Economics and Law
j.asafuadjaye@uq.edu.au
+61 7 336 56539

Overview

Areas of specialisation include environmental and natural resource economics, applied econometrics and economic modelling, with particular emphasis on computable general equilibrium modelling of economic and environmental systems.

Current research activities include investigating the relationships between trade liberalisation, agriculture and the environment. Recent publications include a book - Environmental Economics: An Introduction for the Non-Economist (World Scientific Publishing, 2nd Edition) and articles in Journal of Environmental Management, Health Policy, Contemporary Economic Policy, Energy Economics, Journal of Agricultural Economics, Australian Economic Papers, Singapore Economic Review, and the International Journal of Social Economics.

Qualifications

  • Doctor of Philosophy, University of Alberta
  • Master of Science, Aston University
  • Bachelor of Science (Honours), University of Ghana

Publications

View all Publications

Supervision

View all Supervision

Available Projects

  • The project aims to analyse global trends in energy supply and demand, with emphasis on the key factors driving these trends. The aim of the project is to develop a robust forecasting tool.

View all Available Projects

Publications

Book

Book Chapter

Journal Article

Conference Publication

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

Completed Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • The project aims to analyse global trends in energy supply and demand, with emphasis on the key factors driving these trends. The aim of the project is to develop a robust forecasting tool.