Anke Leroux

Assoc Professor

Accepting PhD Students

20012022

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Personal profile

Biography

Anke Leroux is an environmental and natural resource economist and Associate Professor at the Department of Economics at Monash University.

She is particularly interested in problems of optimal natural resource use and conservation under conditions of risk, uncertainty and irreversibility. Her theoretical, empirical and experimental work has been published in the top journals of her field, including the Journal of Environmental Economics and Management, the American Journal of Agricultural Economics,  the Journal of Economic Behavior and Organization and Water Resources Research. She has applied her research on climate change adaptation to inform policy in the areas of optimal land use, biodiversity and habitat conservation, biosecurity and water management.

Anke Leroux obtained her PhD from the University of Cambridge, U.K., where she was a Gates Scholar. Currently, she serves on the Editorial Council of the Journal of Environmental Economics and Management, is Associate Editor of Environmental Conservation and Co-Editor of Environmental and Resource Economics.

Monash teaching commitment

ECC3640 Economics of Climate Change

 

Research interests

Environmental and natural resource economics, behavioural economics, stochastic dynamic modeling, portfolio analysis

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 6 - Clean Water and Sanitation
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

Education/Academic qualification

Economics, PhD, University of Cambridge

Award Date: 5 Sep 2006

External positions

Associate Editor, Environmental Conservation, Cambridge University Press

Co-Editor, Environmental and Resource Economics, Springer

Research area keywords

  • environmental and natural resources
  • risk and uncertainty
  • dynamic optimization

Network

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