Associate Professor of Economics and Finance
SKK Graduate School of Business
Seoul, South Korea
Associate Professor of Finance (on leave)
China Europe International Business School (CEIBS)
Shanghai, China
t.b.child@ceibs.edu
t.b.child@skku.edu
CV
Video intro
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In 2018 I completed my PhD in Development Economics at Vrije Universiteit Amsterdam and the Tinbergen Institute. One major strand of my research examines the impact of development aid in challenging operational environments, for which I spent time in Kabul, Afghanistan, interviewing relevant stakeholders. Another strand of my research is focused on political economy of finance. Presently I am focused on anti-human trafficking research initiatives, as well as exploring the implications of Generative AI for development. Since 2019, I have taught artificial intelligence to management professionals and executives.
PUBLICATIONS
Aid Fragmentation and Corruption (featured on VoxDev)
w/ Austin Wright (Chicago) and Yun Xiao (Gothenburg)
Review of Economics and Statistics, forthcoming
Losing Hearts & Minds: Aid and Ideology (featured on TEDx)
Journal of Conflict Resolution, 2023
Surprise Election for Trump Connections (featured on UN-PRI, NZZ)
w/ Nadia Massoud (Melbourne Business School), Mario Schabus (Michigan State), and Yifan Zhou (Fanhai)
Journal of Financial Economics, 2021
The Dynamism of Partially State-Owned Enterprises in East Asia (Internet Appendix)
w/ Richard Carney (CUHK-Shenzhen), Wai-Man Liu (ANU), and Phong Ngo (ANU)
Journal of Corporate Finance, 2021
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
w/ Xuejiao Tang (Leibniz), Xin Huang (Maryland), Wenbin Zhang (Maryland), Qiong Hu (Auburn), Zhen Liu (Guangdong), and Ji Zhang (Queensland)
DaWaK: Big Data Analytics and Knowledge Discovery, 2021
Board Connections and Crisis Performance: Family, State, and Political Networks
w/ Richard Carney (CUHK-Shenzhen) and Xiang Li (Boston College)
Journal of Corporate Finance, 2020
Conflict and Counterinsurgency Aid: Drawing Sectoral Distinctions (featured on VoxEU, VoxDev)
Journal of Development Economics, 2019
War and Social Attitudes
w/ Elena Nikolova (University College London)
Conflict Management and Peace Science, 2018
Community Preferences, Insurgency, and the Success of Reconstruction Spending
w/ David Scoones (University of Victoria)
Defence and Peace Economics, 2015
Hearts and Minds Cannot be Bought
Economics of Peace and Security Journal, 2014
Changes to the Ownership and Control of East Asian Corporations between 1996 and 2008: The Primacy of Politics
w/ Richard Carney (CUHK-Shenzhen)
Journal of Financial Economics, 2013 (FAMe synopsis)
WORKING PAPERS
Terrorist Propaganda
w/ Kai Gehring (Bern), Sarah Langlotz (Goettingen), Rossella de Sabbata (Bern), and Austin Wright (Chicago)
Religion and P2P Lending
w/ Lingxiao Liu (Minzu), Oliver Rui (CEIBS), and Hua Zhang (CEIBS)
Under Review
WORKS-IN-PROGRESS
Information Campaigns and Vulnerability to Human Trafficking
w/ Sabina Albrecht (headspace), Xhezaira Guleksi (FAU), Catherine Masters (Nottingham), David Smerdon (Queensland), and Samir Sunar (independent)
Abstract: This project seeks to develop and implement an information provision field experiment to combat human trafficking in Nepal. Despite a recent surge in awareness, rigorous research on the issue is sparse due to a lack of quality data. Aside from socioeconomic factors, 'lack of information' is often cited as a root cause of vulnerability to human trafficking. We partner with a local NGO which operates prevention and rehabilitation programs to gain insights into the information environment of trafficking victims. We leverage the NGO’s extensive field experience to design various information campaigns and measure their impact on knowledge, attitudes, beliefs, and practices of at-risk individuals.
The Global Geographic Range of Generative AI Gains
w/ Mario Schabus (Monash) and Calumn Hamilton (Groningen & Wageningen)
Abstract: Organizations leveraging generative AI may enhance process efficiency, automate workflows, improve planning/forecast accuracy, and introduce new capabilities within products or services. The extent to which a company can benefit from generative AI will depend on its AI-readiness in terms of data assets, product market, and workforce composition. But these firm-level characteristics are only part of the story. Around the world, countries are releasing strategic plans for effective and responsible embrace of AI technology. Meanwhile, major intergovernmental organizations (including MDBs and IFIs) are offering guidance for developing countries to capitalize on generative AI. But the prevailing operating environment for businesses in developing nations may be relatively less conducive to AI adoption. We depict the cross-country landscape of AI-related institutions (e.g. regulatory frameworks, human capital, innovation environments), and identify their role in mitigating or amplifying the economic opportunities provided by generative AI to individual companies. The empirical exercise holds significant policy relevance for developing and developed nations navigating the new technological frontier.