Key research themes
1. How do population growth and development interact to influence sustainable welfare and socio-economic outcomes?
This research theme investigates the complex relationship between population growth and its compatibility with economic development and sustainable welfare. It assesses viewpoints ranging from Malthusian pessimism, highlighting resource constraints and environmental degradation, to optimistic perspectives that emphasize technological innovation and adaptive capacities. The focus lies on identifying population thresholds that affect welfare, resource use, and economic indicators, and exploring policy implications for population control and sustainable development.
2. What are the methodological advances in modeling population growth dynamics and their implications for forecasting and policy?
This theme focuses on advancements in mathematical and statistical modeling of population growth, capturing complex dynamics such as logistic, Gompertz, and extreme value growth patterns. It investigates multi-state and probabilistic projection methods integrating demographic heterogeneity and uncertainty, thus improving accuracy in population forecasting and informing adaptable policy responses. The studies also elucidate age-structured impacts on population evolution, crucial for anticipating socio-economic and infrastructural needs.
3. How do socio-cultural and institutional factors mediate population-related outcomes such as fertility, mortality, and labor market dynamics?
This theme investigates the socio-cultural and institutional determinants underlying demographic phenomena, including fertility decline, infant mortality, and marriage dynamics. It explores how historical institutions (e.g., seigneurial tenure), community interactions, cultural perceptions about family size, and economic stress influence demographic behaviors and outcomes. The research also assesses how labor market structures and longitudinal survey methodologies affect understanding of population processes, with implications for accurate measurement and policy interventions.
























































