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Macro-Governance Theory

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Introduces the Macro-Governance Index, a fourteen-component empirical framework correlating with human development at r = 0.97 across 170 countries, offering policymakers and researchers a reproduc...
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  • 02 February 2027
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Why do some nations thrive while others stagnate? Macro-Governance Theory answers this question with data, not ideology. Drawing on 26 years of publicly available data across 170 countries, Dr. Ken Alabi constructs the Macro-Governance Index (MGI)—a fourteen-component composite measure spanning infrastructure, connectivity, financial inclusion, human capital, security, institutional quality, and economic integration. The MGI correlates with the UN Human Development Index at r = 0.97, explaining 94% of the variance in national development outcomes.
The book’s central argument is that governance can and should be measured with the same empirical rigor we apply to economics and medicine. Just as a physician diagnoses illness through vital signs, the MGI enables citizens, researchers, and policymakers to diagnose governance failures, identify actionable priorities by development stage, and simulate the cascade effects of targeted investments. The framework introduces novel metrics for credit access inequality and household-level financial reach, revealing hidden disparities that conventional measures overlook.
With 67 tables, 8 figures, and a full reproducibility dataset, this is a rigorous yet accessible contribution to an emerging governance science—one that makes national progress measurable, comparable, and accountable.

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Price: £25.00
Publisher: Anthem Press
Imprint: Anthem Press
Publication Date: 02 February 2027
ISBN: 9781801361552
Format: eBook
BISACs:

BUSINESS & ECONOMICS / Economics / General, Public administration / Public policy, POLITICAL SCIENCE / Public Policy / General, SOCIAL SCIENCE / Developing & Emerging Countries, Development economics and emerging economies, Corporate governance: role and responsibilities of boards and directors

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Dr. Ken Alabi is an academic researcher affiliated with Stony Brook University and a founding member of the Toronet Association. A member of the Club of Rome Africa Working Group, his research advances the measurement of governance quality using mathematical and data-driven frameworks.