The impact of digital economy on green development in China DOI Creative Commons
Zhi Zhang,

Wei Kang Fu,

Ma Li

и другие.

Frontiers in Environmental Science, Год журнала: 2022, Номер 10

Опубликована: Авг. 29, 2022

With the huge dividends released by vigorous development of digital economy, China urgently demand a major strategic transformation from extensive to green development. The 14th five-year plan period will require China’s firmly create new advantages in growth economy. In order investigate impact economy on this paper has utilized panel data model analyze 30 Chinese provinces between 2015 and 2020. Findings research have suggested that is helpful for advancing with Eastern region having bigger influence than central center greater Western region. Industrial structure technological innovation are important channels promote According aforementioned conclusion, we proposed following suggestion: should actively advance encourage regional coordination growth, continuously improve industrial boost technical innovation.

Язык: Английский

Natural resource consumption and industrial green transformation: Does the digital economy matter? DOI
Qiying Ran, Xiaodong Yang,

Hongchuan Yan

и другие.

Resources Policy, Год журнала: 2023, Номер 81, С. 103396 - 103396

Опубликована: Фев. 24, 2023

Язык: Английский

Процитировано

150

How Does Green Trade Affect the Environment? Evidence from China DOI Creative Commons
Huiling Liu,

Heng Lei,

Youcheng Zhou

и другие.

Journal of Economic Analysis, Год журнала: 2022, Номер unknown

Опубликована: Сен. 13, 2022

<p><big>This study focuses on the impact of trade in environmental goods (green trade) environment. We found that green can decrease pollution levels by exploiting a panel 277 Chinese cities from 2004 to 2013 and using instrumental variable (IV) strategy. However, total openness is far less favorable also both imports exports are conducive environment, while ordinary performs better than processing trade. Nevertheless, effects restricted city&#39;s purchasing power absorptive capacity, as well classifications goods. Furthermore, mainly promotes local technological progress benefit environment.</big></p>

Язык: Английский

Процитировано

83

The digital economy, spatial spillovers and forestry green total factor productivity DOI
Chen Chen, Feng Ye, Hui Xiao

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 405, С. 136890 - 136890

Опубликована: Март 23, 2023

Язык: Английский

Процитировано

78

Roadmap to achieving sustainable development: Does digital economy matter in industrial green transformation? DOI
Xiaodong Yang, Yang Xu,

Asif Razzaq

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(3), С. 2583 - 2599

Опубликована: Окт. 27, 2023

Abstract The rapid advancements in the digital economy have created numerous opportunities and solutions for industrial green transformation. However, complex relationship between these two has received relatively less attention. Therefore, this study analyses how impacts transformation across 30 Chinese provinces. empirical findings highlight economy's significant role driving Within dynamic framework, crucial operational mechanisms been identified: heightened public awareness of environmental issues vigorous innovation technologies. It becomes evident that can energize sustain momentum Notably, influence is most pronounced eastern‐central China. its impact western China appears weaker, especially at higher quantiles. We observe a strong correlation evolution terms space time. Higher spatiotemporal regression coefficients are primarily found areas south Hu line, while lower values more common northern regions. These provide insights into be strategically applied to drive

Язык: Английский

Процитировано

72

Digital economy to encourage sustainable consumption and reduce carbon emissions DOI

Huanyue Jiang,

Ehsan Elahi,

Mingtao Gao

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 443, С. 140867 - 140867

Опубликована: Фев. 6, 2024

Язык: Английский

Процитировано

52

Can the digital economy improve green total factor productivity? An empirical study based on Chinese urban data DOI Creative Commons
Yue Liu, Chunying Ma, Zhehao Huang

и другие.

Mathematical Biosciences & Engineering, Год журнала: 2023, Номер 20(4), С. 6866 - 6893

Опубликована: Янв. 1, 2023

With the new generation of technological revolution, digital economy has progressively become a key driver global economic development. In this context, how to promote green growth and improve total factor productivity (GTFP) with help is an important issue that urgently needs empirical research. We adopted panel data 278 Chinese prefecture-level cities from 2011 2020 test whether improves GTFP through Gaussian Mixed Model (GMM) dynamic model. The moderating effect model been used explore impact mechanism perspectives industrial structure upgrade environmental regulation. addition, grouping regression was applied sample heterogeneous on GTFP. Based upon findings, work following conclusions. First, plays significant role in improving Second, positive ability enhance regulation, contrast, negative effect. Third, exerts impacts across regions, but not at city level.

Язык: Английский

Процитировано

45

Analyzing the relationship between digitalization and energy sustainability: A comprehensive ISM-MICMAC and DEMATEL approach DOI
Anthony Bagherian, Mark Gershon, Sunil Kumar

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 236, С. 121193 - 121193

Опубликована: Авг. 20, 2023

Язык: Английский

Процитировано

45

From riches to digitalization: The role of AMC in overcoming challenges of digital transformation in resource-rich regions DOI
Yu Chen,

Yuandi Wang,

Changyi Zhao

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 200, С. 123153 - 123153

Опубликована: Янв. 3, 2024

Язык: Английский

Процитировано

37

Digital economy structuring for sustainable development: the role of blockchain and artificial intelligence in improving supply chain and reducing negative environmental impacts DOI Creative Commons

Zexin Hong,

Kun Xiao

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 16, 2024

In the current global context of environmental degradation and resource constraints, pursuit sustainable development has become an imperative. One avenue that holds promise for achieving this objective is application digital technologies, which have potential to decouple economic growth from its carbon footprint. However, it crucial ensure these technologies are designed governed in a prudent manner, with strong alignment priorities. This study focuses on exploring roles blockchain artificial intelligence (AI) supply chain coordination impact mitigation. Furthermore, they capacity incentivize recycling circular business models, as well facilitate accounting offsetting. To fully realize benefits, essential deploy within inclusive collaborative frameworks take into consideration social ecological considerations. The also offers policy recommendations highlight key leverage points innovation, enabling countries embark smart green industrial transformation pathways. By harnessing AI chains, governments can promote transparency, traceability, accountability, thereby fostering practices reducing impacts. Incorporating approaches leads substantial improvement efficiency, demonstrated by numerical analysis. conclusion, integration innovative significant opportunities optimize production systems activity while prioritizing sustainability objectives betterment society environment. These mitigate externalities addressing information imbalances chains. prioritize governance emphasizes democratic participation any unintended negative consequences, especially vulnerable communities. ensuring decision-making processes, we maximize positive minimizing harm.

Язык: Английский

Процитировано

37

Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity DOI Creative Commons
Yifeng Zhang,

Min-xuan Ji,

Xiu-zhi Zheng

и другие.

SAGE Open, Год журнала: 2023, Номер 13(3)

Опубликована: Июль 1, 2023

The digital economy is integral in driving economic growth, particularly of high-quality standards. Against the backdrop “Double Carbon” project, exploring impact on green agricultural development bears tremendous practical significance. Thus, this study aims to investigate how affects total factor productivity (GTFP). entropy-TOPSIS method and SBM-GML index are used measure core variables quantitatively. In addition, two-way fixed effects panel data models, Tobit, intermediary effect models implemented. Three research findings emerge. First, China’s GTFP level generally experiences an upward trend, has a significant positive increasing GTFP. Second, mainly promotes technology innovation that boosts Third, Western China more than Central Eastern China. Finally, based findings, paper proposes relevant policy recommendations promote sustainable agriculture development.

Язык: Английский

Процитировано

38