My colleague and I just had our study published. The study discusses the association between household exposure to negative shocks and social safety net program participation in Ghana. To examine this issue, we link data from high-resolution geospatial maps of drought and flood risks to government administrative data on safety net program beneficiaries at the district level. We find that drought risk is positively associated with household participation in selected, main public social safety net programs. (The corresponding evidence for flood risk is weaker). We interpret the finding to be a result of pre-shock program coverage of drought-prone areas, in part achieved indirectly through the intentional targeting of poor areas by the programs.
The complex interconnections that define modern society are readily visible in our Facebook or LinkedIn networks. But what about the corporate world? I recently began mapping the web of cross-shareholding among Malaysia's listed corporations. Using Social Network Analysis (SNA), I visualized the ecosystem to identify key "communities" and power brokers. The goal? To see if a company's position in this web predicts its financial destiny. The State of Play (2015) Figure 1: Malaysia's Corporate Network in 2015 (Created via Gephi) The map above visualizes the network as of 2015. While I have excluded specific company names, the "super-nodes" (the largest circles) represent the most connected shareholders in the economy—primarily government-linked investment companies (GLICs), fund managers, and international asset managers. A Decade of Growing Complexity ...
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