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Title Quantifying digital economy and green initiatives for carbon neutrality targets: a Kilian bias-adjusted bootstrap model evaluation of China economy
ID_Doc 31680
Authors Zhong, SY; Chen, J; Rahman, ZU; Nayab, F
Title Quantifying digital economy and green initiatives for carbon neutrality targets: a Kilian bias-adjusted bootstrap model evaluation of China economy
Year 2024
Published Environmental Science And Pollution Research, 31, 6
DOI 10.1007/s11356-023-31445-0
Abstract Digitalization has emerged as a new hope for low-carbon sustainable economic growth after its successful trial during the COVID-19 measures. Therefore, both developed and developing economies focus on digitalization to cope with carbon neutrality targets. Thus, this study attempted to generate a meaningful relationship between the digital economy and green energy, innovation, and environmental tax policy to capture the role of factors in acquiring carbon neutrality. For the abovementioned objectives, modern econometric methods, such as the Kilian bias-adjusted bootstrap, were adopted to evaluate the Chinese dataset between 1990 and 2021. The results indicate that the study factors play a significant role in acquiring carbon neutrality in the long-term Chinese economy. Furthermore, quantile autoregressive distributed lag model (QARDL) indicates that all the factors influence carbon neutrality in various quantiles. Consequently, the digital economy, green energy and innovation, and environmental taxes significantly assist in attaining carbon neutrality in the long term, and the ecological Kuznets curve prevails in the economy. Therefore, radical and wide-ranging policy implications are required in many areas including environmental restrictions, digital economy promotion, green and sustainable technologies, and clean energy sources.
Author Keywords Digital economy; Green innovation; Carbon neutrality; Clean energy; China
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001137899300002
WoS Category Environmental Sciences
Research Area Environmental Sciences & Ecology
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