Innovation’s dark side: how digital finance and regional innovation ecosystems amplify corporate debt risks in China
Muhammad Suhrab et al.
Abstract
This study examines the dual-edged role of digital finance (DF) and regional innovation (RI) in shaping corporate excess leverage (CEL) within China’s swiftly evolving economic landscape. Drawing on a comprehensive panel dataset of 1200 firm-year observations from Chinese listed firms (2011–2020). Combining theories of optimal capital structure, credit market dynamics and systemic risk, we employ fixed effects, two-stage least squares, system GMM and quantile regression techniques. The findings reveal a nuanced paradox: while digital finance significantly expands credit access, it simultaneously exacerbates corporate leverage, challenging the narrative that technological innovations invariably democratize financial markets. Moreover, regional innovation, contrary to Schumpeterian expectations, fails to independently mitigate leverage risk without robust institutional frameworks, exposing systemic vulnerabilities in debt-driven ecosystems. Notably, our analysis reveals significant heterogeneity across ownership structures: state-owned enterprises (SOEs) exploit regional innovation for policy-driven objectives and escalate leverage, whereas private firms (POEs) face heightened risks from unregulated DF due to agency costs and weaker safeguards. The study advances existing theoretical perspectives by (1) bridging the credit expansion and financial constraint framework; (2) refining the resource-based review, highlighting that state-backed resources distort innovation‒leverage dynamics, amplifying financial instability in SOEs; and (3) extending agency theory to the financial ecosystem, where regulatory asymmetries and information gaps intensify managerial risk-taking. Practically, we propose adaptive policies: AI-driven surveillance in innovation hubs for real-time risk mitigation and institutional capacity-building in underdeveloped regions to balance financial inclusion with stability.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.