Does intelligent manufacturing promote a breakthrough in green innovation? Evidence from China

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

Published: Jan. 31, 2025

Breakthroughs in green innovation (BGI) have become increasingly prominent spearheading technology, while intelligent manufacturing (IM) offers a fresh technical paradigm for the industry’ development. Yet, due to limitations measuring BGI, existing research on IM and BGI has been ignored. By devising ground-breaking approach this paper takes pilot demonstration projects as an ideal quasi-natural experiment investigates influence of BGI. Our findings indicate that can effectively enhance which are further validated by series rigorous examinations. Further mechanism analysis reveals crowding-in R&D resources, strengthening open innovation, alleviating agency conflict play potential pathways bridging nexus between A heterogeneity highlights disrupt technological path dependency observed high-pollution high-energy consumption industries. suggests form joint effect with environmental regulations promote driven also improve both firm’s economic environmental, social, governance (ESG) performance, leading “win-win” scenario performance study confirms promoting emerging countries is indispensable enhancing serves new impetus

Language: Английский

Study on the Strength of Rural Tourism Operators’ Willingness to Carbon Offset and Its Influencing Mechanisms

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6253 - 6253

Published: July 22, 2024

Tourism operators generate carbon emissions during their operations, and environmental responsibility behaviors, such as offsetting, significantly impact the ecological environment of tourist sites. Understanding operators’ willingness to engage in offsetting factors influencing this is crucial for achieving “dual carbon” goals promoting sustainable growth China’s tourism sector. This study collected 746 offline questionnaires from at rural sites across 100 counties districts Jiangxi Province. It empirically analyzed participate comparing various strength willingness, spatial differences, distinctions between all-for-one non-all-for-one counties, well suburban, outer remote Using value–belief–norm theory planned behavior, a structural equation model was developed comprehensively examine its mechanisms. The statistical analysis revealed that integrated effectively predicted offsetting. results showed that, except Hypothesis 6, all suggested correlations variables were significant. Value perception had positive effect on participants’ desire research provides theoretical practical implications local authorities regarding operators, advancing incentive development.

Language: Английский