Investing in Resource Efficiency

Foreword.- Part I: Background and Concepts.- Part II: Methodologies and Evidence.- Part III: Case Studies and Practitioners' Insights.- Part IV: Policy Implications and Conclusions.

Florian Flachenecker is a Junior Economist (Young Professionals Programme) at the Organisation for Economic Co-operation and Development (OECD) working on the OECD Green Growth Strategy and environmental indicators. Previously, he was a Doctoral Researcher at University College London (UCL), empirically investigating the effects of resource efficiency on competitiveness and climate change mitigation. Florian was a Visiting Fellow at the European Political Strategy Centre of the European Commission, developing a competitiveness strategy for the EU. Moreover, he worked as a Consultant at the European Bank for Reconstruction and Development on resource efficiency investment projects on the firm-level, and he worked on European policy issues at the German Federal Ministry of Finance. Florian holds a PhD in Economics from UCL, a MA in Economics from the College of Europe, and a BSc in Economics from the University of Mannheim as well as the Tecnológico de Monterrey.

Jun Rentschler is an Economist (YP) at The World Bank working at the intersection of climate change and sustainable resilient development. He is also a Visiting Research Fellow at the Oxford Institute for Energy Studies, the Payne Institute for Earth Resources in Colorado, and the Graduate Institute for Policy Studies in Tokyo. He spent two years as a Consultant at the European Bank for Reconstruction and Development (EBRD) working on resource efficiency investment projects. He also served as an Economic Adviser at the German Foreign Ministry, where he focused on economic and energy policy. Jun holds a MSc and a PhD in Economics from UCL, specialising in the fields of development, climate, and energy. He has published widely on these topics, including in academic journals and his book 'Fossil Fuel Subsidy Reforms: A guide to economic and political complexity'.