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 in various developing countries to analyze research questions related to economic growth, food and nutrition 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, in particular our in-house computable general equilibrium model MAGNET, spatial microsimulation, econometric analysis and GIS, and like to collaborate with agronomists, hydrologists and other scientists from different fields.

Current research projects include improving the creation of crop distribution maps (in collaboration with colleagues from the International Food Policy Research Institute), development of a spatial microsimulation model to assess future patterns of income, poverty and consumption change and the application of machine learning approaches to map the location of farmers. In my free time, you can find me on a skate- kitesurf or snowboard. In case there is time left, I also enjoy playing football, running, collecting records on vinyl and going to live concerts.

Interests

  • Integrated Assessment Modeling
  • Microsimulation
  • Food and nutrition security
  • Dietary transition

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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BrightSpace

Five year Horizon Europe funded project to assess the safe and just operating space of European Agriculture.

Climate Impact on Agricultural Labour Productivity

Combining maps with the location of farmers and heat stress indicators to analyse labour productivity loss in India.

Occupations on the map

Application of a superlearner machine learning algorithm to create high resolution maps with the location of workers.

Spatial Production Allocation Model for Country studies (mapspamc)

Development of an R package to create crop distribution maps for country studies using the SPAM approach.

Spatial Simulation of Income Dynamics (SSID) model

Development of a spatial microsimulation model to assess income and poverty change under different socio-economic scenarios.

Systematic literature review and meta-analysis of global food security projections

Review and analysis of studies that present projections on global food demand and people at risk of hunger up to 2050.