Urban digital economy, business model innovation and corporate ESG performance: A industry chain upstream and downstream perspective DOI Open Access

Shuhua Zhang

Edelweiss Applied Science and Technology, Journal Year: 2024, Volume and Issue: 8(6), P. 9670 - 9690

Published: Dec. 31, 2024

Vigorously developing the digital economy is a future national strategy of Chinese government, and sustainable development industrial chain challenge for enterprises. The environmental, social governance (ESG) performance enterprises an important micro-indicator development, which links with safety chain. In order to explore mechanism path enhance corporate ESG under industry perspective, this paper conducts empirical analysis sample 4,482 listed companies in Shanghai Shenzhen, China, from 2013 2022. results study show that, first, urban not only improves jurisdiction but also enhances overall are located. Second, effect significant both eastern central western samples, there heterogeneity nature property rights, more state-owned Third, although green technological progress business model innovation play role influence transmission chain, terms size. This complements research on relationship between perspective.

Language: Английский

Evaluating the energy efficiency-enhancing potential of the digital economy: Evidence from China DOI Creative Commons

Malin Song,

Heting Pan, Michael Vardanyan

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 344, P. 118408 - 118408

Published: June 17, 2023

Language: Английский

Citations

65
Research on the coupling coordination relationship between the digital economy and high-quality energy development: Evidence from China DOI Creative Commons
Shuhe Wang, Anqi Wang,

Shizhe Liu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24637 - e24637

Published: Jan. 1, 2024

The deep integration of the digital economy and high-quality energy development is a vital breakthrough in promoting transformation upgrading energy, it also critical path to achieving green low-carbon development. However, degree two has yet be discovered. This article measures coupling coordination using panel data from 30 provinces China 2013 2020, explores spatiotemporal evolution characteristics degree, further analyzes driving factors degree. results show that:(1) shows an upward trend, but there are apparent gradient differences spatial non-equilibrium features among provinces. (2) "parabolic" trend "high east low west" east-west direction "inverted U-shaped" north-south direction. (3) center gravity moves southwest, clustering northeast-southwest showing spreading southeast-northwest (4) significant positive correlation, cold-hot spot gradually develops into distribution pattern with Yangtze River Delta as agglomeration center. (5) Economic development, industrial structure, government behavior, environmental regulation, urbanization, technological innovation, external openness significantly impact In addition, economic human capital have spillover effect on Urbanization level innovation negative Accordingly, promote interaction between should take effective optimizing scientifically urbanization process, enhancing scientific capacity.

Language: Английский

Citations

8
Empowering more balanced energy futures: The role of the digital economy in alleviating China's energy trilemma at the city-level DOI Creative Commons
Jingcheng Li, Menggang Li, Linan Gao

et al.

Energy, Journal Year: 2024, Volume and Issue: 303, P. 131938 - 131938

Published: June 5, 2024

This study explores the influence of Digital Economy (DE) on Energy Trilemma (ET) across Chinese cities from 2008 to 2021. Leveraging an extensive panel dataset encompassing 276 cities, we constructed a city-level ET index, categorized using k-means clustering, and employed IV-GMM regression scrutinize impact DE. Our findings reveal that DE is instrumental in tackling issues, with significant variations attributed city-specific attributes, including centralized heating systems complexity urban terrain. The mediation analysis pinpoints optimization industrial structures, technological progress, attraction foreign investment as key conduits through which exerts its ET. These insights highlight pivotal role essential instrument for bolstering sustainable energy frameworks. They also emphasize necessity digital economy policies effectively address unique challenges faced by each municipality. Additionally, underscores positive openness sector strategy confronting challenges.

Language: Английский

Citations

6
The Role of Digitalization on Carbon Emissions: Spatial DDML Test and Neural Networks Prediction DOI Creative Commons
Mao Wu,

Fanrui Liu

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract Based on the Chinese provincial panel data from 2011 to 2022, this paper innovatively use spatial double/debiased machine learning (DDML) model, planar and mediating model study effect, mechanisms of digitalization carbon emissions in both local surrounding areas. The empirical studies show that significantly reduces area. Digitalization by promoting transformation energy industrial structure green technological innovation, regions improvement utilization efficiency progress, improve intensification areas thus reducing emissions. Prediction using LSTM neural network shows for 30 provinces China except Tibet 2030, peak dioxide is achievable. For digitally developed regions, or where digitization lagging behind but developing rapidly, can help these achieve with less relatively undeveloped, makes little difference process achieving slowly, due extensiveness provinces, a rebound making put more demand into produce, will increase.

Language: Английский

Citations

0
Regional carbon emission efficiency evaluation combining gray forecasting and game cross-efficiency analysis: The case of Yangtze River Delta DOI
Youyang Ren, Yuhong Wang, Dongdong Wu

et al.

Energy & Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Carbon emission efficiency (CEE) reflects the interplay between carbon emissions and economy, which refers to achieving more economic benefits lower while considering energy, labor, capital inputs. Assessing regional CEE is crucial for evaluating level of China's low-carbon development. Thus, this paper proposes a scenario-based hybrid model with foresight perspective game cross-efficiency (GCE) analysis. It measures future 41 Yangtze River Delta (YRD) cities from 2023 2030. The improved gray forecasting models generate input output datasets GCE analysis, assurance region constraint simulates energy consumption dual-control policy. results show that: (1) CEEs are generally low, an average 0.2142. Shanghai has highest CEE, 0.8089, Tongling lowest, 0.0307, under current policy constraint. (2) Under four control scenarios, YRD urban agglomeration follows U-shaped trend. indicates that may lead short-term decline in YRD, but long term, it gradually increase 2025 or 2026. (3) Spatial–temporal analysis reveals government should flexibly optimize update intensity value based on development differences focus consumption. These provide forward-looking guidance high-quality

Language: Английский

Citations

0
Assessing water-energy-related use system towards the targets SDG 6 and SDG7: A dynamic parallel-series DEA model DOI

Xinya Du,

Lina Zhang,

Jinren Hu

et al.

Energy & Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Water and energy are key elements to accomplish the Sustainable Development Goals (SDGs) of human society. The aim this study is acknowledge enhance efficiency water-energy-related use (WERU) systems from a sustainable perspective. This paper proposes dynamic parallel-series data envelopment analysis model assess WERU towards targets SDG 6 7. system with structure consists water supply (WS), (WU), (ES), (EU) subsystems. To investigating role digital economy in enhancing 30 provinces China 2011 2020, intermediary effect spatial Durbin applied explore transmission mechanism spillover effect. main findings as follows: (1) average overall 0.60, primarily due suboptimal performance WU EU (2) central region has lower scores subsystems than eastern western regions. (3) indirectly boosts by stimulating provincial innovation industrial upgrading. beneficial local neighboring provinces. advocates for advancement encouraging innovation, upgrading structures, underscoring growth economy.

Language: Английский

Citations

0
Spatial Effects and Mechanisms of the Digital Economy on Energy Efficiency: Empirical Findings from China DOI Creative Commons

R. Zhang,

Xiaoxiao Wu, Yifei Chen

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1170 - 1170

Published: Feb. 27, 2025

Energy efficiency plays a vital role in the transition towards carbon neutrality. The rapid rise of digital economy as an emerging growth engine raises important questions about its capacity to enhance energy efficiency. Understanding this relationship is essential for advancing sustainable development and minimizing emissions. Using spatial Durbin models, mediation panel threshold paper empirically examines nonlinear impact on utilization efficiency, taking Chinese cities case study areas. This research shows that there U-shaped between characterized by initial suppression followed promotion, while economy’s improvement surrounding inverted relationship, demonstrating promotion suppression. Heterogeneity studies found eastern has significant positive promotional effect central western regions show suppressive effect. Mechanism tests indicated enhances promoting industrial structure upgrading improving green technological progress. However, significantly affected external factors exhibits effects—only when urban levels cross specific values can generate

Language: Английский

Citations

0
Harnessing the Digital Economy for Sustainable Energy Efficiency: An Empirical Analysis of China’s Yangtze River Delta DOI Creative Commons
Fengqin Liu, Jai Kumar, Huaping Sun

et al.

Economics, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

Abstract This study investigates the impact of digital economy on energy efficiency through a combination theoretical analysis and empirical testing. The research contributes by categorizing value creation process into two stages: input stage operation examining both direct indirect effects efficiency. Indirect are explored factors such as industrial structure, green innovation, transaction efficiency, environmental regulation. Using panel data from 41 cities in Yangtze River Delta region China, covering period 2006 to 2020, empirically examines findings emphasize significant role enhancing particularly upgrading structures, increasing stimulating innovation. A heterogeneity reveals that influence is less pronounced resource-based than non-resource-based cities. Based these findings, provides targeted policy recommendations further leverage for improving

Language: Английский

Citations

0
Nonlinear spatial impacts of the digital economy on urban ecological welfare performance: evidence from China DOI Creative Commons
Sen Wang, Jinye Li

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: March 13, 2024

Introduction With the rapid development of digital technology and its deep integration with environmental ecological fields, economy has become an effective way to guide transition cities eco-friendly model. However, empirical studies on nonlinear spatial effects between welfare performance are still insufficient. Methods Based panel data 270 prefecture-level in China from 2011 2020, this paper empirically examines impact mechanism action using econometric modeling. Results The promotion effect is characterized by “J” shape increasing marginal effect, spillover neighboring inverted “U” inhibiting first then promoting later. test shows that can enhance through incremental green technological innovation local a positive effect. have direct U influencing factor allocation efficiency energy utilization efficiency. It also U-shaped Environmental regulation moderating eco-welfare affected economy. As level rural revitalization increases, it produces inhibiting. Heterogeneity analysis reveals more significant facilitating central China. Discussion This will provide reference for synergistic optimization among regions. findings study promote accelerate realization goal “Beautiful China”.

Language: Английский

Citations

3
The rise in popularity of central bank digital currencies. A systematic review DOI Creative Commons
Silvana Prodan, Peter Konhäusner, Dan‐Cristian Dabija

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e30561 - e30561

Published: April 30, 2024

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central evolving landscape CBDCs, explores emerging areas trends by using PRISMA method VOSviewer, with goal showing main opportunities challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, SRDR were screening quality evaluation tools employed for study eligibility criteria, design content selection, text analysis data extraction, methodological predictors, reliable reproducible evidence assessment. A total 1024 articles on identified Scopus Web Science, out which 747 included review (documents not English language categorized journal excluded). Through an relevant literature, categorizes CBDC into positive, negative neutral research, a particular focus sustainability issues, conducts keyword co-occurrence following narrowing down be applying framework. generates overall view experts researchers who can use analyzed features CBDCs adapt them accordingly, taking account macroeconomic characteristics. The highlights need continue interdisciplinary adapting characteristics keep up latest technologies shift towards green finance, elaborate relationship between technology sustainability.

Language: Английский

Citations

3