Digital economy's impact on green innovation efficiency: bottom-up or top-down? DOI
Xiongfei Zhao,

Sheng Xu,

Tao Jiang

et al.

Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: unknown

Published: March 18, 2024

Language: Английский

Can the digital economy promote urban green economic efficiency? Evidence from 273 cities in China DOI Creative Commons
Lu Huang, Hongfeng Zhang, Hongyun Si

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 110977 - 110977

Published: Oct. 7, 2023

Language: Английский

Citations

46
The impact of the digital economy on the total factor productivity of manufacturing firms: Empirical evidence from China DOI
Huanjie Li, Yuan Zhang, Yan Li

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 207, P. 123604 - 123604

Published: July 24, 2024

Language: Английский

Citations

24
Digital financial inclusion in the context of financial development: Environmental destruction or the driving force for technological advancement DOI Creative Commons
Tran Thi Kim Oanh

Borsa Istanbul Review, Journal Year: 2024, Volume and Issue: 24(2), P. 292 - 303

Published: Jan. 4, 2024

This study employs the panel vector autoregression model to investigate how digital financial inclusion (DFI), technological advancement, environmental conditions, and economic growth are interconnected in 16 low development countries (LFDCs) 29 high (HFDCs) from 2015 2020. The results of impulse response function reveal that LFDCs, DFI enhances quality while promoting progress. However, this improvement a decline these countries. In HFDCs, promotion growth; however, it is accompanied by decrease quality. Furthermore, variance decomposition demonstrate interconnection among DFI, growth, quality, progress more closely related LFDCs than HFDCs. Based on findings, we recommend relevant policy implications for respective country groups.

Language: Английский

Citations

22
Unleashing the power of informatization: How does the “information benefiting people” policy affect green total factor productivity? DOI
Xi Chen, Jianda Wang

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 341, P. 118083 - 118083

Published: May 5, 2023

Language: Английский

Citations

32
Is low-carbon energy technology a catalyst for driving green total factor productivity development? The case of China DOI
Congyu Zhao

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139507 - 139507

Published: Oct. 26, 2023

Language: Английский

Citations

31
Does digitalization support green transition in Chinese cities? Perspective from Metcalfe's Law DOI
Ruiyang Ma, Yi Lin, Boqiang Lin

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 425, P. 138769 - 138769

Published: Sept. 11, 2023

Language: Английский

Citations

22
Digital economy solutions towards carbon neutrality: The critical role of energy efficiency and energy structure transformation DOI
Chenchen Huang, Boqiang Lin

Energy, Journal Year: 2024, Volume and Issue: 306, P. 132524 - 132524

Published: July 20, 2024

Language: Английский

Citations

13
Digital economy and the green transformation of manufacturing industry: evidence from Chinese cities DOI Creative Commons
Han Wang,

Canhua Kang

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Jan. 24, 2024

The global economy is undergoing a transformative shift propelled by continuous technological advancements. This digital revolution has ushered in new era characterized the pervasive influence of economy. Notably, inherent “green” attributes economy, such as reduced marginal costs and diminished environmental impact, have injected fresh momentum into green transformation industrial sector. Using spatial econometric model, we examine impact on manufacturing industry using panel data for 283 prefecture-level Chinese cities from 2011 to 2019. We first calculate level industry’s this paper according Slack-Based Measure model. sector facilitated both eastern central regions, revealed heterogeneity analysis based geographical areas. moderating effect reveals distinct negative structure upgrading agglomeration. Additionally, threshold tests indicate significant nonlinear features industry.

Language: Английский

Citations

11
Digital and Green Behaviour: An Exploratory Study on Italian Consumers DOI Open Access
Nadia Palmieri, Flavio Boccia, Daniela Covino

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3459 - 3459

Published: April 20, 2024

This paper aimed to understand consumer behaviour based on different constructs of buying antecedents, which included attitudes towards social aspects, green values, the value placed digital channels, and advertisements. Through an online survey 650 respondents, we investigated characteristics that affect in Italy. A structural equation modelling (SEM) method was then used explore effects identified people’s behaviour, as well evaluate their relative importance. On one hand, findings showed among constructs, aspects have a direct effect eco-friendly consumption, while values positively impact both openness publicity. other publicity only shows weak behaviours, peoples’ channels positive consumption behaviour. In words, results suggest propensity, paired with environmental sensibility, may purchase sustainable food. light above, these should be important for makers experts dealing products, particularly sellers. fact, sellers marketers consider our insights into segmentation, targeting, positioning strategies markets.

Language: Английский

Citations

11
How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce DOI
Chenchen Huang, Min Du, Boqiang Lin

et al.

Research in International Business and Finance, Journal Year: 2024, Volume and Issue: 73, P. 102541 - 102541

Published: Aug. 27, 2024

Language: Английский

Citations

10