Energy Economics, Journal Year: 2024, Volume and Issue: 141, P. 108050 - 108050
Published: Nov. 17, 2024
Language: Английский
Energy Economics, Journal Year: 2024, Volume and Issue: 141, P. 108050 - 108050
Published: Nov. 17, 2024
Language: Английский
Energy Policy, Journal Year: 2024, Volume and Issue: 187, P. 114017 - 114017
Published: Feb. 10, 2024
Language: Английский
Citations
31Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
1Humanities and Social Sciences Communications, Journal Year: 2023, Volume and Issue: 10(1)
Published: Sept. 23, 2023
Abstract The impact of the digital economy on carbon emissions has become a topic contention due to paucity guiding theoretical and empirical research. This study presents comprehensive causal mediation model based an expanded structural equation model. Leveraging extensive big data analysis sourced from developing nations, this research aims elucidate precise unravel underlying mechanism. findings unequivocally demonstrate pivotal role played by in mitigating emissions. Even after subjecting conclusions battery robustness endogeneity tests, their validity remains intact. mechanism reveals that effectively curbs through low-carbon technological innovation industrial diversification. disproportionate dominance industrialization is significant factor contributing emergence “Digital Economy Paradox”. Consequently, paper not only introduces novel analytical perspective systematically comprehends but also fresh evidence advocates for transformation development economy.
Language: Английский
Citations
17Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: 26(8), P. 2707 - 2720
Published: Feb. 7, 2024
Language: Английский
Citations
7Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness, Journal Year: 2024, Volume and Issue: 34(5), P. 879 - 895
Published: April 13, 2024
Purpose The purpose of this study is to shed light on the twin transition in China organization innovation processes artificial intelligence (AI) and green technology (GT) development understand role foreign multinationals Chinese systems. Design/methodology/approach A qualitative research approach used by interviewing executives from German with expertise AI GT China. In total, 11 semi-structured interviews were conducted companies, data analysed a thematic text analysis. Findings findings show that applications for are primarily developed cross-company projects led local regional authorities through industrial districts clusters. either being integrated, remaining autonomous or excluded these processes. Originality/value This paper aims fill gap literature providing one first towards exploring integration multinational enterprises cluster organizations. To best author’s knowledge, studies perspective emerging economies.
Language: Английский
Citations
7Economic Analysis and Policy, Journal Year: 2023, Volume and Issue: 81, P. 947 - 963
Published: Dec. 6, 2023
Language: Английский
Citations
15Political Geography, Journal Year: 2024, Volume and Issue: 109, P. 103062 - 103062
Published: Jan. 23, 2024
Language: Английский
Citations
6Regional Studies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17
Published: Aug. 21, 2024
This paper examines the role of policy in China's digital and green (twin) transition, building on a qualitative study large corpus documents domains. We analyse multi-level governance these transitions for three regional case studies: Shanghai, Wuhan Hangzhou. find that regions both adopt adjust aims means differently from national policy. A twin transition is not comprehensively addressed at level, but partially implemented regions. Based our findings, we develop typology sketching top-down implementation strategies.
Language: Английский
Citations
6Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Oct. 29, 2024
Digital trade, as one of the vanguards global technological revolution and industrial transformation, empowers low-carbon economic cooperation on a scale. This study based panel data from 2007 to 2021 46 countries with varied development levels, constructed multi-dimensional indicator system six aspects: trade potential, digital infrastructure, innovation, skills security, scale environment, aim measure level explore its impact carbon emissions, followed by heterogeneity analysis. The research results indicate that there are significant differences in levels among different strengths. Countries stronger power larger scales have higher development, while less developed regions lag trade. As increases, emissions will also change. Overall, exhibits pronounced effect, varies levels.
Language: Английский
Citations
5Regional Studies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 7
Published: Sept. 30, 2024
Language: Английский
Citations
4