Ensuring Macroeconomic Stability and National Sustainable Development in the Context of the Green Economy: Problems and Solutions

This Republican Scientific and Practical Conference was organized by the Department of Economics and Finance of the Andijan Branch of Turon University on November 13–14, 2026, in accordance with Order No. 11 of the Ministry of Higher Education, Science and Innovation of the Republic of Uzbekistan, dated January 16, 2026, “On Approval of the Plans for Scientific and Scientific-Technical Events to Be Held at International and National Levels in 2026.”

1+ Issues
45+ Articles
54+ Participants
Oʻzbekcha

JISMONIY SHAXSLARNI KREDITLASH AMALIYOTINI TAKOMILLASHTIRISH: RAQAMLI SKORING, KREDIT RISKLARINI BOSHQARISH VA MAS’ULIYATLI KREDITLASHNING INNOVATSION MEXANIZMLARI

Published
14.11.2026
Journal
Ensuring Macroeconomic Stability and National Sustainable Development in the Context of the Green Economy: Problems and Solutions
Issue
Ensuring Macroeconomic Stability and National Sustainable Development in the Context of the Green Economy: Problems and Solutions
Pages
203-219
DOI
10.5281/zenodo.24184249

Authors

Abstract

Mazkur maqolada jismoniy shaxslarni kreditlash amaliyotini takomillashtirishning nazariy, metodologik va amaliy jihatlari kompleks tadqiq etiladi. Zamonaviy bank tizimida chakana kreditlash hajmining kengayishi, raqamli moliyaviy xizmatlarning rivojlanishi, kredit axborotlari tarkibining o‘zgarishi hamda uy xo‘jaliklari qarzdorlik darajasining ortishi banklar oldiga kreditlash mexanizmlarini sifat jihatidan yangilash vazifasini qo‘ymoqda. Tadqiqotda an’anaviy kredit skoringi tizimining cheklovlari, sun’iy intellekt va mashinaviy o‘rganish algoritmlarining kreditga layoqatlilikni aniqlashdagi imkoniyatlari, muqobil ma’lumotlardan foydalanish, qarz oluvchining real to‘lov qobiliyatini baholash, kredit risklarini oldindan prognozlash va mas’uliyatli kreditlash mexanizmlari o‘rganiladi. O‘zbekiston bank tizimining 2025–2026-yillardagi rivojlanish tendensiyalari, Markaziy bankning makroprudensial siyosati va xalqaro moliya institutlarining tavsiyalari asosida jismoniy shaxslarni kreditlashni takomillashtirishning integratsiyalashgan konseptual modeli taklif etiladi. Shuningdek, kreditlash samaradorligini baholash uchun ekonometrik tadqiqot metodologiyasi ishlab chiqiladi.

Keywords

jismoniy shaxslarni kreditlash chakana kreditlash kredit skoringi sun’iy intellekt mashinaviy o‘rganish Big Data kredit riski qarzdorlik yuki DSTI DTI moliyaviy inklyuziya mas’uliyatli kreditlash raqamli bank ekonometrik modellashtirish

References

1. Stiglitz, J. E., & Weiss, A. (1981). Credit Rationing in Markets with Imperfect Information. The American Economic Review, 71(3), 393–410.
2. Merton, R. C. (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. The Journal of Finance, 29(2), 449–470.
3. Basel Committee on Banking Supervision. (2024). Core Principles for Effective Banking Supervision. Bank for International Settlements.
4. Bank for International Settlements. (2024). Artificial Intelligence and the Economy: Implications for Central Banks. BIS Annual Economic Report.
5. Tigges, M., Mestwerdt, S., Tschirner, S., & Mauer, R. (2024). Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data. Technological Forecasting and Social Change, 205, 123491.
6. Consultative Group to Assist the Poor. (2025). Responsible Digital Credit: Frontier Solutions for Authorities and Providers. CGAP.
7. World Bank. Digital Finance Inclusion: Digital Credit.
8. World Bank. Credit Reporting.
9. International Monetary Fund. (2026). Republic of Uzbekistan: 2026 Article IV Consultation—Press Release and Staff Report. IMF Country Report No. 2026/152.
10. Central Bank of the Republic of Uzbekistan. (2026). Financial Stability Report for 2025.
11. Central Bank of the Republic of Uzbekistan. Debt-service-to-income.
12. Central Bank of the Republic of Uzbekistan. Debt-to-income.
13. International Monetary Fund. Financial Soundness Indicators Compilation Guide. IMF.
14. World Bank. Global Financial Development Database.
View PDF Related articles