Marketing 11-сан (2025)

OPTIMIZATION OF GREEN LENDING MECHANISMS BASED ON DIGITAL TECHNOLOGIES: AN ANALYSIS OF SUPPORTING ECOLOGICAL PROJECTS

Allayarov Suxrob Rustamovich

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Аннотация

The aim of the research is to support the development of targeted software. According to the research methodology, methods such as analysis, comparative analysis, economic modeling, and statistical data analysis were applied. Indicators from council source s, the integration of software technologies (blockchain, artificial intelligence) into green lending processes, and monitoring show that big data and risk management increase efficiency. This enables the targeted use of available credit 545 resources. In conclusion, the digitalization of financial funding is a crucial factor in supporting Uzbekistan’s environmental assistance processes and contributes to the regulation of service provision.

green lendingdigital technologiesenvironmental projectsblockchainartificial intelligencefinancial stabilityinnovative mechanismsзелёное кредитованиецифровые технологииэкологические проекты

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Цитата алуу

APA 7
Allayarov Suxrob Rustamovich (2025). OPTIMIZATION OF GREEN LENDING MECHANISMS BASED ON DIGITAL TECHNOLOGIES: AN ANALYSIS OF SUPPORTING ECOLOGICAL PROJECTS. Marketing, (11).
GOST R 7.0.5
Allayarov Suxrob Rustamovich OPTIMIZATION OF GREEN LENDING MECHANISMS BASED ON DIGITAL TECHNOLOGIES: AN ANALYSIS OF SUPPORTING ECOLOGICAL PROJECTS // Marketing. 2025. № 11.
BibTeX
@article{rustamovich2025,
  author  = {Allayarov Suxrob Rustamovich},
  title   = {OPTIMIZATION OF GREEN LENDING MECHANISMS BASED ON DIGITAL TECHNOLOGIES: AN ANALYSIS OF SUPPORTING ECOLOGICAL PROJECTS},
  journal = {Marketing},
  year    = {2025},
  number  = {11}
}
RIS
TY  - JOUR
AU  - Allayarov Suxrob Rustamovich
TI  - OPTIMIZATION OF GREEN LENDING MECHANISMS BASED ON DIGITAL TECHNOLOGIES: AN ANALYSIS OF SUPPORTING ECOLOGICAL PROJECTS
JO  - Marketing
PY  - 2025
IS  - 11
ER  -