Michiel van Dijk

Michiel van Dijk

Senior researcher

Wageningen Economic Research

Welcome!

I am a senior researcher in the international policy department at Wageningen Economic Research, part of Wageningen University and Research. I am also a guest research scholar (out of office) at the International Institute for Applied Systems Analysis (IIASA).

I try to combine my economic and quantitative background with experience from working and living various developing countries to analyze research questions related to economic growth, food security and climate change. As tackling these large and complex issues requires a multi-disciplinary and integrated approach, I use a variety of tools, including global simulation models, econometric analysis and GIS and like to collaborate with agronomists, hydrologists and other scientists from different fields.

Current research projects include a systematic review of global food security projections and improving the creation of crop distribution maps (in collaboration with colleagues from the International Food Policy Research Institute). In my free time, you can find me on the water attempting to kitesurf when there is wind or on my snowboard in winter. In case there is time left, I also enjoy playing tennis, collecting records on vinyl and going to live concerts.

Interests

  • Integrated Assessment Modeling
  • Scenario analysis
  • Food security
  • Agricultural innovation
  • Yield gap analysis

Education

  • PhD in Technology and Development Studies, 2004

    Faculty of Technology Management, Eindhoven University of Technology, the Netherlands

  • MSc in Quantitative Economics, 1999

    Faculty of Economics, Maastricht University, the Netherlands

Current research

Browse all research projects here.
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Global Food Security Projections DataBase (GFSPDB)

A database with harmonized projections on global food security indicators (global food consumption, per capita calorie consumption and people at risk of hunger) up to 2050.

Spatial Production Allocation Model for Country studies (SPAM-C)

Development of a model to create plausible spatial estimates of crop area at 30 arcsec resolution spanning multiple years including a case study for seven countries in Southern Africa.