State Debt Assessment Indicators

Aktam U. Burkhanov, Abdugapur K. Ibragimov, Bunyod Usmonov, Fazilat Kh. Abdullaeva and Fayzulla G. Pardaev

Chapter 37 in The Sustainable Development of the Entrepreneurial Economy in the Fifth Industrial Revolution, 2026, pp 443-452 from World Scientific Publishing Co. Pte. Ltd.

Abstract: This research examines the scientific-theoretical aspects of public debt assessment. The authors systematized methods, methodologies, and experiences used in international practice on indicators of public debt assessment. The authors presented the procedure for assessing the state debt and analyzed the indicators for evaluating the state debt, considering the composition of the state debt and the development characteristics of the countries. The indicators used to evaluate a country’s external and internal debt can be categorized into two groups: those that assess the condition of external debt and those that evaluate the condition of internal debt. The authors analyzed the main macroeconomic indicators that evaluate the state’s ability to repay its debt on time and fulfill its obligations to investors and creditors. As a result of the research, the authors proposed indicators for assessing the state of the country’s external debt. Government debt thresholds are classified as low, medium, and high relative to GDP and exports.

Keywords: Sustainable Development; Entrepreneurship; Innovation; Technology; Information Management; Organizational Behavior; Industrial Organization; Entrepreneurial Economy; Fifth Industrial Revolution; Cause-and-Effect Relationships; Fourth Industrial Revolution; Digital Technology; Industry 5.0; Operations Management; Operations Research; Supply Chain Management; Fintech; Cryptocurrency; Blockchain; Economics and Finance; Corporate Governance; Technological Environment; National Economy; State Management; Corporate Management; Agro-Industrial Complex 5.0; Fuel and Energy Complex 5.0; BRICS; EAEU; Central Asia; Social Responsibility; Digital Competitiveness; Digital Energy; Entrepreneurial Universities 5.0; Machine Learning; Cyber-Social System; Smart Company; Management of AI; Automatization; Decision-Making in Entrepreneurship; Big Data; Blockchain Finance; Robotisation Of Production; Applied Technological Solutions; Smart City; Local Entrepreneurial Economy; Modernisation; Institutes of Globalisation; E-Government; Innovative Economy; Knowledge Society; BRICS+ (search for similar items in EconPapers)
JEL-codes: L26 O33 Q01 (search for similar items in EconPapers)
Date: 2026
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