Professional connections and digital innovation of SMEs DOI
Jinxin Liu, Mengli Zhao,

K.L. Wang

et al.

The Journal of Technology Transfer, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

The impact of green finance policy on green innovation performance: Evidence from Chinese heavily polluting enterprises DOI Creative Commons
Kaiwen Chang, Dan Luo,

Yizhe Dong

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 352, P. 119961 - 119961

Published: Jan. 13, 2024

Green innovation (GI) is increasingly recognised as an effective strategy for tackling climate change, mitigating environmental issues, and promoting sustainable development. Using panel data of the Chinese listed firms from 2007 to 2019, this study adopts difference-in-differences approach assess impact green finance policy (GFP) initiated by government in 2012 on performance firms. The findings reveal that GFP significantly boosts heavily polluting enterprises (HPEs). Notably, effect more pronounced state-owned with high dependence external finance. Compared penalty-based regulations, incentive-based voluntary regulations demonstrate significant moderating effects relationship between HPEs. We also identify improved efficiency usage investments a potential mechanism through which enhances Further comparative analysis shows can achieve simultaneous improvement both quality quantity innovation, whereas HPEs predominantly exhibit enhancements quantity. To maximise GFP's positive effects, it recommended facilitate targeted bank lending towards support their structural transformation. Additionally, coordinated deployment diverse instruments advised exploit synergistic effects.

Language: Английский

Citations

52

Does digital government transformation drive regional green innovation? Evidence from cities in China DOI
Xiaoran Yang, Rong Ran,

Yejing Chen

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 187, P. 114017 - 114017

Published: Feb. 10, 2024

Language: Английский

Citations

29

Towards green governance and real economy development: how digital technology affects health human resource allocation? DOI
Baoliu Liu, Javier Cifuentes‐Faura, Xiaoqian Liu

et al.

Applied Economics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: March 20, 2024

The adoption and integration of digital technology have profoundly reshaped societal environmental governance within the healthcare sector. This study aims to explore influence development on allocation human resources, intending contribute net-zero carbon process. Utilizing panel data from 30 provinces cities across mainland China during period 2011 2020, we computed three unique indices for health resource density. Employing spatial Durbin model, our analysis unveiled a gradual augmentation in overall level due impact development. Robustness tests substantiated noteworthy positive spillover effect technology, contributing at regional level. Heterogeneity results revealed notably more pronounced promotional eastern region, contrasting with central western regions. From perspective sustainable development, can advancement environmentally friendly by optimizing resources. In conclusion, this offers valuable insights formulate effective policies allocation, attainment goals.

Language: Английский

Citations

19

The impact of digital infrastructure construction on carbon emission efficiency: Considering the role of central cities DOI
Junzhou Yu, Wenzheng Hu

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141687 - 141687

Published: March 5, 2024

Language: Английский

Citations

16

The impact of artificial intelligence on green technology cycles in China DOI
Tong Fu, Zhaoxuan Qiu, Xiangyang Yang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 209, P. 123821 - 123821

Published: Oct. 13, 2024

Language: Английский

Citations

14

Unveiling the relation between digital technology and low-carbon innovation: Carbon emission trading policy as an antecedent DOI
Bo Wang, Siyu Gong, Yang Yang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 205, P. 123522 - 123522

Published: June 15, 2024

Language: Английский

Citations

13

The influence of digital intelligence transformation on carbon emission reduction in manufacturing firms DOI
Bin Cao, Lianqing Li, Kai Zhang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 121987 - 121987

Published: July 26, 2024

Language: Английский

Citations

13

The Synergistic Effects of Digital Technology Application and ESG Performance on Corporate Performance DOI

Yudong Qi,

Minmin Han,

Chao Zhang

et al.

Finance research letters, Journal Year: 2024, Volume and Issue: 61, P. 105007 - 105007

Published: Jan. 12, 2024

Language: Английский

Citations

11

The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy DOI Open Access
Xiangyi Li, Qing Wang, Ying Tang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3200 - 3200

Published: April 11, 2024

China’s economy is stepping into a new stage of high-quality development. The shift not only marks the optimization and upgrading economic structure, but also reflects in-depth implementation concept sustainable In this context, development AI technology playing an important role in balancing growth ecological protection with its unique advantages. This paper empirically studied impact on urban energy efficiency by constructing panel data for 282 prefecture-level cities from 2006 to 2019 then using super-efficiency SBM model based non-expected outputs evaluate indicators cities. It was discovered that had key influence increasing structure speeding up green innovation digital development, which turn improved efficiency. terms heterogeneity analysis, greater eastern region, has higher levels human capital, financial independence, government intervention. study combined smart city pilot policy multi-period DID model, treatment endogeneity issues, order perform parallel trend test investigate further effects advancement context improving Accordingly, achieve relevant departments should increase funding research pay attention introduction cultivation professionals, establish platform international exchanges cooperation between management, continue advocate

Language: Английский

Citations

11

Does digital transformation empower green innovation? Evidence from listed companies in heavily polluting industries in China DOI
Wenqiu Zhang, Junli Zhao, Hao Li

et al.

Finance research letters, Journal Year: 2024, Volume and Issue: 66, P. 105685 - 105685

Published: June 1, 2024

Language: Английский

Citations

10