Digital finance and its impact on firm green innovation: The role of media and executives

Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 106794 - 106794

Published: Jan. 1, 2025

Language: Английский

---

Digital finance, financing constraints, and green technological innovation: A spatial analysis

Global Finance Journal, Journal Year: 2024, Volume and Issue: 61, P. 100988 - 100988

Published: May 11, 2024

Language: Английский

---

The influences of digital finance on green technological innovation in China's manufacturing sector: The threshold effects of ESG performance

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 467, P. 142953 - 142953

Published: June 19, 2024

Language: Английский

---

Empirical Study on the Impact of Digital Finance on Commercial Credit Allocation in SMEs

Finance research letters, Journal Year: 2024, Volume and Issue: 61, P. 105011 - 105011

Published: Jan. 12, 2024

Language: Английский

---

How digital finance affects the sustainability of corporate green innovation

Finance research letters, Journal Year: 2024, Volume and Issue: 63, P. 105314 - 105314

Published: March 26, 2024

Language: Английский

---

Climate policy uncertainty influences carbon emissions in the semiconductor industry

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: unknown, P. 109436 - 109436

Published: Oct. 1, 2024

Language: Английский

---

The Impact of Digital Finance on the Green Utilization Efficiency of Urban Land: Evidence from 281 Cities in China

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2003 - 2003

Published: Feb. 28, 2024

In the era of digital economy, finance, as an innovative financial model, plays important role in driving urban industrial transformation and development, technological innovation, upgrading sustainable utilization energy, has a significant impact on development. At present, process building new pattern Chinese-style modernization China, it is great significance to improve green use efficiency land through finance realize resources development city. The current study employed 281 Chinese cities from 2010 2020 research samples investigate effects financing productivity city usage. Based ideas responsible growth efficient assessment index system was developed. Comprehensive empirical tests, such Super-SBM fixed effect mediation were implemented research. study’s findings indicate that: (1) Throughout period, benchmark model’s regression outcomes demonstrate that banking impacts land’s efficiency, with positive moderating offered by environmental legislation; optimization structure not yet played regulating effect. (2) Urban area usage performance more clearly impacted extent degree digitization, according results heterogeneity. online services city’s occurs mainly eastern southern cities, given level difference. light resource endowment unpredictability, “non-resource cities” stand gain global finance’s encouragement resource-efficient than do “resource cities”. mechanism test there strong mediating influence productivity, breakthroughs. consideration these results, following measures are suggested this paper: Persist advocating for traditional into financing. Intensify variables environmentally friendly areas. (3) Encourage technology creativity execution application economics.

Language: Английский

---

Digital disruption, knowledge and collaborative networks and green innovation in China manufacturing transformation

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 216, P. 124120 - 124120

Published: April 16, 2025

Language: Английский

---

The Role of Digitalization on Carbon Emissions: Spatial DDML Test and Neural Networks Prediction

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

Published: Jan. 13, 2025

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

---

Land Misallocation and Urban Green Innovation: From the Perspective of Asymmetrical Innovation Theory

Managerial and Decision Economics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

ABSTRACT As the conflict between economic growth and environmental pollution intensifies, green innovation is gradually recognized as a pivotal strategy for promoting sustainable urban development. The unique institution an important asymmetric resource activities, so delving into China's land institutional context represents significant direction both theoretical understanding practical application research of in China. existing framework inadequately explores nexus misallocation (LM) (UGI) fails to reveal underlying transmission mechanism fully. To bridge this gap, paper utilizes city‐level data from China spanning 2007 2020, takes perspective, empirically tests impact two types misallocation, industrial LM sectoral LM, on relationship UGI. results that has significantly direct negative UGI are still robust after changing sample size, substituting explanatory variables, replacing regression models, running endogeneity tests. Additionally, exhibits heterogeneity within sectors cities different levels, administrative ranks, dominant industries. testing indicate affects through structural, scale, agglomeration effects. These conclusions enrich literature institutions provide valuable insights development cities.

Language: Английский

---