Theoretical foundations of time series analysis in green economy

Muradov, Rustamjon

Яшил иқтисодиёт ва тараққиёт · 2025-yil

Annotatsiya

The rapid global shift towards environmentally sustainable development necessitates advanced analyticalmethods to monitor and predict environmental and economic indicators. This paper presents a comprehensive theoreticaland empirical analysis of time series methodologies applied to the green economy. It focuses on renewable energyproduction, green investment flows, and carbon dioxide (CO₂) emissions. Utilizing real-world data from 2010 to 2023,the study employs classical time series techniques, stationarity diagnostics, and ARIMA modeling to uncover trendsand forecast future dynamics. The results confirm that policy-driven strategies have contributed to a consistent risein renewable energy generation and green investment while effectively reducing CO₂ emissions. The ARIMA-basedforecasts offer robust short- and medium-term insights to support informed decision-making in environmental and energypolicy. The findings underscore the importance of statistical forecasting in promoting long-term sustainability and offer aconceptual basis for future research integrating econometric and computational approaches.

Maqola ma’lumotlari
MualliflarMuradov, Rustamjon
JurnalЯшил иқтисодиёт ва тараққиёт
Nashr sanasi2025-04-07
Jild3
Son4
TilIngliz
DOI10.5281/zenodo.15351926

Kalit so‘zlar

Time series analysis, green economy, ARIMA model, renewable energy, CO₂ emissions, green investment, environmental modeling, sustainable development

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