Theoretical foundations of time series analysis in green economy
Year: 2025
Type: article
Abstract: 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.
Author: Muradov Rustamjon Sobitkhonovich
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W6949761388
FWCI:
Cites:
Cited by:
Related to: