Exploring the Association Between Artificial Intelligence Management and Green Innovation: Expanding the Research Field for Sustainable Outcomes DOI Open Access
Jiaxing Du, Han Cai, Xiu Jin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9315 - 9315

Published: Oct. 26, 2024

Green innovation is essential for achieving sustainable development goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) 12 (Responsible Consumption Production), as it fosters environmental social benefits while also creating new economic opportunities. Despite previous studies actively conducting empirical analyses on green innovation, research guiding the process through artificial intelligence remains scarce. This study aims to explore key variables that affect thereby promoting of organizations, investigate incentive mechanisms behind it. By uncovering internal external factors drive their interactions, we can better understand optimize fostering innovation. Unlike studies, this not only explores verifies main effects but provides validates a model related occurrence Additionally, determines extent which management influences knowledge sharing examines whether an innovative culture moderates impact well mediating effect within model. Therefore, collected data from 331 adult employees SMEs across 23 provinces, cities, districts in China conducted analyses, including confirmatory factor analysis (CFA) reliability analysis. The results indicate directly affects indirectly partial role sharing. Furthermore, significantly between In exploring established adjusted verified its significance. summary, causal relationship demonstrated process, contributes expansion field advancement SDGs, specifically Goals 12. study’s findings highlight importance integrating enhance vital growth outlined SDGs.

Language: Английский

Carbon reduction effects of energy transition strategies: a discussion on multi-stakeholder carbon governance DOI Creative Commons

Shawn Wang

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 22, 2025

Investigating the carbon reduction effects of New Energy cities Demonstration Policy (NECDP) is crucial for promoting energy transition strategy and meeting “dual carbon” targets. This study, grounded in stakeholder theory, examines mechanisms behind NECDP’s from perspectives both constraints incentives. Using panel data 266 at prefecture level above China, A difference-in-differences model mediation effect are used to assess impact NECDP on emissions. The study’s results indicate that: 1) significantly reduced emissions, this conclusion holds up after robustness checks that control other policies variable replacements. From a dynamic perspective, did not become significant until third year, suggesting certain time lag. 2) Mechanism tests show NECDP, as weak constraint incentive environmental policy. It generates incentives stakeholders, such governments, businesses, public. government enhances oversight increases investment technology, while public becomes more environmentally conscious, engages green low-carbon consumption, participates regulation. Businesses, turn, innovate technologies adopt clean, production methods, which help drive industrial upgrades reduce 3) Heterogeneity analysis shows stronger regions with lower urbanization, fewer resource-based industries, greater digitization, focus.

Language: Английский

Citations

0

Exploring the Association Between Artificial Intelligence Management and Green Innovation: Expanding the Research Field for Sustainable Outcomes DOI Open Access
Jiaxing Du, Han Cai, Xiu Jin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9315 - 9315

Published: Oct. 26, 2024

Green innovation is essential for achieving sustainable development goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) 12 (Responsible Consumption Production), as it fosters environmental social benefits while also creating new economic opportunities. Despite previous studies actively conducting empirical analyses on green innovation, research guiding the process through artificial intelligence remains scarce. This study aims to explore key variables that affect thereby promoting of organizations, investigate incentive mechanisms behind it. By uncovering internal external factors drive their interactions, we can better understand optimize fostering innovation. Unlike studies, this not only explores verifies main effects but provides validates a model related occurrence Additionally, determines extent which management influences knowledge sharing examines whether an innovative culture moderates impact well mediating effect within model. Therefore, collected data from 331 adult employees SMEs across 23 provinces, cities, districts in China conducted analyses, including confirmatory factor analysis (CFA) reliability analysis. The results indicate directly affects indirectly partial role sharing. Furthermore, significantly between In exploring established adjusted verified its significance. summary, causal relationship demonstrated process, contributes expansion field advancement SDGs, specifically Goals 12. study’s findings highlight importance integrating enhance vital growth outlined SDGs.

Language: Английский

Citations

0