摘要：
Spatial interaction and the locational structure between observations as well as availability of satellite derived data has meant a richer and more exhaustive exploration of topics relevant in development topics, particularly in areas of subnational economic activity and conflict. This research leverages thus spatial econometric techniques to dynamically decompose impacts from socio-economic determinants on conflict incidence (with setting in Sub-Saharan Africa). Later I also present a statistical framework (based on extension of Henderson’s approach (2012)) to augment official income figures at district / county level with multiple satellite derived signals, with specific context given to developing countries. In the first chapter, I look at the relationship and interplay between conflict intensity, foreign aid (in the form of geocoded World Bank Aid allocations) and economic activity (proxied by Sum of Lights, SOL, as gathered from satellite night lights sources), at the sub-national (provincial) level in Sub-Saharan Africa over 2000-13, using a Panel Vector Autoregression approach based on a multi-stage Continuous Updated Estimator GMM estimation strategy, and incorporating spatial effects amongst the concerned variables as well as in the model disturbances. I then decompose the derived impulse responses from this system into spatial direct and indirect responses. As per the findings, conflict intensity reacts (largely) positively to negative shocks in economic activity and World Bank Aid, with evidence of persistent spillover effects stemming from these aforementioned shocks. In the second chapter, following on from the first chapter, I specifically look at the impact of income inequality, derived from the spatial distribution of night lights raster and population raster data, on conflict incidence in Sub-Saharan Africa, using a Spatial Exponential Feedback Model approach (as opposed to the more standard Linear Feedback Model in the literature), based on Empiric
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