Submit a Manuscript to the Journal
Journal of Chinese Economic and Business Studies
For a Special Issue on
Economics of AI and its Implications in Emerging Markets
Manuscript deadline
Special Issue Editor(s)
Fei Su,
Faculty of Finance, City University of Macau
[email protected]
Songlian Tang,
Glorious Sun School of Business and Management, Donghua University
[email protected]
Xuan Zhang,
College of Economics and Management, Nanjing University of Aeronautics and Astronautics
[email protected]
Economics of AI and its Implications in Emerging Markets
Emerging markets are experiencing a rapid digital transformation, with artificial intelligence (AI) emerging as a powerful driver of economic growth, productivity gains, and financial inclusion. From AI-powered lending platforms and supply chain optimization to labor market matching and public service delivery, AI applications are reshaping the economic landscape of countries such as China, and other emerging markets. However, AI technologies also introduce new risks, such as algorithmic bias, data governance failures, labor displacement, and systemic vulnerabilities that challenge existing regulatory and institutional frameworks.
This Special Issue invites theoretical, empirical, and policy-oriented research that examines the multifaceted economics of AI in emerging economies. We seek contributions that explore how AI adoption affects firm performance, innovation, employment, income distribution, and market structure. At the same time, we encourage studies that investigate the governance of AI-related risks, the design of adaptive regulatory frameworks, and the role of AI in shaping financial markets, industrial policy, and sustainable development.
Submission Instructions
This Special Issue aims to advance understanding of the economics and its implications of AI in emerging markets, with a particular focus on China while welcoming comparative studies across other emerging economies. Drawing on the comprehensive framework outlined in recent surveys of AI in financial economics (e.g., Mo and Ouyang 2025, JCEBS), we seek original research that addresses, but is not limited to, the following themes:
- AI as a general-purpose technology: Productivity spillovers, innovation dynamics, and the role of AI in reshaping industrial organization and market structure in emerging economies.
- AI in corporate finance: Firm-level AI investment, organizational transformation, risk and disclosure behavior, and the strategic use of AI-generated information in decision-making.
- AI and asset pricing: Machine learning and deep learning methods for return predictability, stochastic discount factor estimation, factor discovery, and portfolio construction, with applications to emerging market data.
- AI in household finance: Financial inclusion, credit scoring, robo-advising, and the impact of AI on consumer financial behavior and welfare.
- AI and labor markets: Task-level exposure, wage inequality, skill-biased technical change, and the macroeconomic implications of AI adoption in developing countries.
- AI governance, risk, and regulation: Algorithmic bias, data privacy, systemic risk, algorithmic collusion, and the design of adaptive regulatory frameworks for AI in financial systems.
- Comparative and international perspectives: Cross-country studies of AI policies, technology diffusion, and the role of institutions in shaping AI adoption and outcomes across emerging and advanced economies.
We welcome interdisciplinary approaches that combine economics with computer science, data science, and other fields, as well as studies that leverage novel datasets and state-of-the-art machine learning techniques to address long-standing questions in economics of AI and its implications in emerging markets.