Skip to main content

Labor Mobility and Economic Integration

Below is a visualization of the migration patterns across the Association of Southeast Nations (ASEAN). [ASEAN is a grouping of 10 countries including Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam]. The objective of the investigation is to illustrate the extent to which economic integration could be challenging given the different economic weights of its members. ASEAN members range from the poorest Cambodia with current per capita GDP of $1,090 to wealthy Singapore at over $56,000 as of 2014. One of the core pillars of the ASEAN Economic Community (AEC), inked in KL in December 2015, is mobility of skilled labor across the region. The interactive figure below illustrates migration patterns as of 2013 (using data from the UN Population Division). The biggest sender countries, as of 2013 were Indonesia and Malaysia, which had over 1.4 million and over 800 thousand of its citizens living in other ASEAN countries, respectively. Upper middle income Malaysia and High income Singapore were the favored destinations, receiving 1.64 million and 940,000 ASEAN citizens, respectively. The skill level of these immigrants is hard to determine but local debate in countries like Malaysia suggests an overwhelming number of them are of low skills as evinced by their occupations (maids, plantation, and construction workers).

Migration Patterns: Ranked by Sender Country, 2013


Migration Patterns Ranked by Receiving Country, 2013

Source: United Nations Population Division, Department of Economic and Social Affairs

Comments

Popular posts from this blog

Mapping the Matrix: Malaysia's Corporate Network

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 ...

The Labor Market Impacts of AI in Türkiye: Beyond Occupational Exposure Analysis

Beyond Exposure AI and Labor Markets · Türkiye Occupational exposure to AI identifies where technology may affect work, but not whether employment will contract, reorganize, or expand. Applying the Richmond (2026) AI Jobs Transition Framework to Türkiye's 2024 Household Labour Force Survey, the dominant high-exposure archetype is not automation. It is reorganization. Mpumelelo Nxumalo and Dhushyanth Raju · Summary of the working paper Beyond Exposure: AI and Labor Market Reorganization in Türkiye Most discussion of AI and jobs runs on a single number: how much of an occupation's task content a model can perform. That number identifies where technology reaches. It does not say what happens next. An exposed occupation may shed workers, or it may keep them while the work itself is rebuilt around the technology. Those are different outcomes, they call for different policy, and exposure alone cannot tell them apart. Applying the Richmond (202...

Mapping the Blast Radius: What Happens When the "World's Factory" Stops?

In global trade, "efficiency" often masks "fragility." We know that China is central to the global electronics supply chain, but how central? And if that node were to go dark, who would feel the shockwaves first? To answer this, I moved beyond standard trade statistics and built a network simulation using the OECD Inter-Country Input-Output (ICIO) Tables (2023 Edition) . This dataset maps the DNA of the global economy, tracking every dollar of input across 66 countries and 45 industries. 1. The Blast Radius: Tracing the Contagion I treated the global economy as a directed graph and simulated a total supply shock to Chinese Electronics (CHN_C26) . By tracing the flow of inputs across three tiers of buyers, I visualized the "Blast Radius" of this disruption. Fig 1: The Supply Chain Cascade. The shock originates in China (Red) and immediately hits "Tier 1" assembly hubs (Dark Blue) before cascading to global consumers...