Alternative finance and industrial trajectories in OECD countries: Institutional governance as a protective buffer

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Type of the article: Research Article

Abstract
The global transition toward non-bank capital allocation systems has altered the trajectory of modern industrial development during volatile market cycles. The primary objective of this study is to evaluate the macroeconomic impact of private risk equity across a panel of thirty-eight developed economies from 2010 to 2024. Quantitative estimations rely on a panel error correction model and interactive fixed effects specifications to separate long-run equilibrium trajectories from short-run transactional volatility. Long-run empirical parameters establish that a ten percent expansion in venture capital inflows drives a long-run real gross domestic product increase of 1.43%. The structural systems display robust dynamic stability by automatically correcting 45.2% of growth deviations annually following capital deployment disruptions. Short-run transmission vectors show that a ten percent liquidity injection increases research and development intensity by an absolute 0.0085 percentage points within the same calendar year. Interaction modeling reveals a significant negative moderation coefficient of –0.0004877 for the small enterprise tracking path. This negative vector demonstrates that high-quality public governance structures flatten the short-run capital transmission slope, acting as a structural buffer that shifts the baseline intercept of small business contributions from a low-governance margin of 11.33 up to an insulated high-governance margin of 14.11. Strong institutional protections and anti-corruption frameworks ensure that financial innovations enhance long-term economic stability rather than causing short-term friction.

Acknowledgments
The authors express gratitude to our respective university departments and institutional research groups for providing the technical infrastructure necessary to conduct this study. We also recognize the participants of internal research seminars whose early feedback helped refine the core empirical parameters of the econometric models.

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    • Figure 1. Cointegration and long-run trajectories (bivariate trend plot)
    • Figure 2. The delayed catalyst effect (lead-lag cross-correlation chart)
    • Figure 3. Institutional buffer mechanism (divergent governance paths)
    • Table 1. Descriptive statistics
    • Table 2. Multicollinearity diagnostics
    • Table 3. Panel unit root test results
    • Table 4. Panel cointegration (Kao test)
    • Table 5. Empirical regression matrix
    • Conceptualization
      Abdul Jalil Mahama
    • Data curation
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Shokhrukh Shavkat ugli Abdumurotov, Maksud Rustamov
    • Formal Analysis
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Maksud Rustamov
    • Investigation
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Maksud Rustamov
    • Methodology
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Shokhrukh Shavkat ugli Abdumurotov
    • Project administration
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Maksud Rustamov
    • Software
      Abdul Jalil Mahama
    • Supervision
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Shokhrukh Shavkat ugli Abdumurotov
    • Validation
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Shokhrukh Shavkat ugli Abdumurotov, Maksud Rustamov
    • Visualization
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Shokhrukh Shavkat ugli Abdumurotov, Maksud Rustamov
    • Writing – original draft
      Abdul Jalil Mahama
    • Writing – review & editing
      Abdul Jalil Mahama, Shokhazamiy Shokhmansur, Aktam Burkhanov, Shokhrukh Shavkat ugli Abdumurotov, Maksud Rustamov