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

Sheng Xu,

Tao Jiang

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2024, Номер unknown

Опубликована: Март 18, 2024

Язык: 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

и другие.

Ecological Indicators, Год журнала: 2023, Номер 155, С. 110977 - 110977

Опубликована: Окт. 7, 2023

Язык: Английский

Процитировано

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

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 207, С. 123604 - 123604

Опубликована: Июль 24, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 24(2), С. 292 - 303

Опубликована: Янв. 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.

Язык: Английский

Процитировано

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, Год журнала: 2023, Номер 341, С. 118083 - 118083

Опубликована: Май 5, 2023

Язык: Английский

Процитировано

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, Год журнала: 2023, Номер 428, С. 139507 - 139507

Опубликована: Окт. 26, 2023

Язык: Английский

Процитировано

31

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

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 425, С. 138769 - 138769

Опубликована: Сен. 11, 2023

Язык: Английский

Процитировано

22

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

Energy, Год журнала: 2024, Номер 306, С. 132524 - 132524

Опубликована: Июль 20, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 12

Опубликована: Янв. 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.

Язык: Английский

Процитировано

11

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

и другие.

Sustainability, Год журнала: 2024, Номер 16(8), С. 3459 - 3459

Опубликована: Апрель 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.

Язык: Английский

Процитировано

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

и другие.

Research in International Business and Finance, Год журнала: 2024, Номер 73, С. 102541 - 102541

Опубликована: Авг. 27, 2024

Язык: Английский

Процитировано

10