Digital economy evaluation, regional differences and spatio-temporal evolution: Case study of Yangtze River economic belt in China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105685 - 105685

Published: July 18, 2024

Language: Английский

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Blue Sky Protection Campaign: Assessing the Role of Digital Technology in Reducing Air Pollution

Systems, Journal Year: 2024, Volume and Issue: 12(2), P. 55 - 55

Published: Feb. 5, 2024

Air pollution severely threatens people’s health and sustainable economic development. In the era of digital economy, modern information technology is profoundly changing way governments govern, production mode enterprises, living behavior residents. Whether can bring ecological welfare needs to be further studied. Based on panel data from 269 Chinese cities 2006 2021, this study empirically examines impact air by using two-way fixed effect model. The results show that will significantly reduce concentration fine particles in help protect atmospheric environment. are still valid after interactive model two-stage least square method robustness test causality identification. Digital also promoting green innovation, improving energy efficiency, easing market segmentation. reducing heterogeneous. plays a more substantial role resource-based areas with high degree modernization commodity supply chain. positive affected amount pollutants emitted. When PM2.5 high, protecting atmosphere strongly highlighted. This research beneficial exploration environment while building an civilization society. conclusion urban managers, public, business operators entirely use equipment such as 5G, remote sensing, Internet Things their respective fields

Language: Английский

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Research on the coupling mechanism and influencing factors of digital economy and green technology innovation in Chinese urban agglomerations

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 2, 2024

Abstract This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through analysis of model, spatial autocorrelation, multi-distance clustering analysis, kernel density grey correlation this study uncovers mechanism Chinese agglomerations. Data revealed a significant increase within However, there are noticeable imbalances trend. Additionally, distance highlights shift random distribution clustered characteristics. The polarization features vary among each agglomeration exhibit positive correlation. Factors such as economic sustainability, creative talent, policy support, impetus, technological support will affect China's Policy recommendations proposed foster development economy, promote coordinated growth beyond clusters, ultimately build ecological civilization that is both intelligent.

Language: Английский

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Artificial intelligence and green product innovation: Moderating effect of organizational capital

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28572 - e28572

Published: March 22, 2024

Green product innovation (GPDI) is crucial for addressing ecological issues and essential enterprises' green operations long-term growth. Digitization offers new possibilities enhancing corporate practices. Nevertheless, previous studies have predominantly addressed the association between overall digitalization innovation, research on outcome of specific digital technology categories lacking. Within this framework, study broadens investigation into connection distinct technologies innovation. The period 2013–2022 was selected as sample observation period, with companies listed China's A-share market objects. fixed-effects model applied to investigate impact artificial intelligence (AI) firms' GPDI while exploring interaction effect organizational capital. findings indicate that AI beneficial in businesses. This enhanced by employee board human capital but diminished social These results remained valid after two-stage least squares regression. utilization resource-based view dynamic capacity theory business implementation. Furthermore, it extends resulting provides a enhancement pathway GPDI. has significant theoretical practical implications.

Language: Английский

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Does enterprise digital transformation contribute to green innovation? Micro-level evidence from China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122609 - 122609

Published: Oct. 1, 2024

Language: Английский

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Does Digital Government Transformation Drive Social Inclusion? Evidence from Female Entrepreneurship in China?

Journal of Chinese Political Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 17, 2024

Language: Английский

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How Climate Commitment Impact Green Technology Innovation in Enterprises: From the Perspectives of Cross-border Knowledge Search and Digital Transformation

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Breaking the inertia of traditional economic development: Does network infrastructure construction achieve urban carbon unlocking?

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106197 - 106197

Published: Feb. 1, 2025

Language: Английский

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The nexus between female CEOs, government subsidies and green innovation: probing board diversity dynamics

Total Quality Management & Business Excellence, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 29

Published: Jan. 6, 2025

The scant literature on the role of female CEOs (FCEOs) has attracted attention all stakeholders. Therefore, study addresses several knowledge gaps by empirically exploring nexus between FCEOs, government subsidies (GS), board gender diversity (BGD), and green innovation (GI). To validate our contentions, we employed a robust methodology using dataset Chinese-listed non-financial firms. Our in-depth analysis indicates that FCEOs are associated with lower GI, while GS is higher GI. Interestingly, also find BGD helps align interests stakeholders positively moderates relationship (i) & GI (ii) further sub-sample reveals influence more pronounced in high-profitability firms operate environmentally sensitive industries. overall findings emphasize significant GS, driving ultimately promotes quality management brings excellence to businesses within Chinese listed Further, unique results consistent even after employing multiple statistical techniques, measurements key variables, controlling for possible endogeneity issue.

Language: Английский

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Digital Economy, R&D Resource Allocation, and Convergence of Regional Green Economy Efficiency

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 384 - 384

Published: Jan. 7, 2025

We looked into the ways in which digital economy helps to speed up convergence of environmentally responsible economic efficiency across China’s regions by facilitating flow and optimization R&D resources. measured mobility capital personnel 30 provinces China from 2001 2022 using a gravity model, assessed green SBM method, determined influence use fixed-effects model. (1) identified σ (the absolute gap between per capita income or levels different economies gradually decreasing over time) β negative correlation rate increase among various their initial level efficiency) characteristics efficiency, discovering that has sped process regional areas. (2) found latecomer advantage along with advancement economy; is, more quickly converged less developed fewer (3) The is able accelerate through internal mechanisms such as efficient research development factors reasonable allocation those factors. By identifying impact on gaps new perspective elements, this study contributes existing body literature. It also provides information regarding driving economy. offer policy suggestions based our findings assist achieving balance industrial utilization resources are specific location.

Language: Английский

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