Effects and mechanisms of digital economy development on corporate carbon emission intensity: empirical evidence from cross-country data DOI Creative Commons
Yang Da, Zhao Yang, Hong Wu

et al.

Digital Economy and Sustainable Development, Journal Year: 2025, Volume and Issue: 3(1)

Published: Jan. 8, 2025

Abstract This study analyzes the effects and mechanisms of digital economy on corporate carbon emission intensity through theoretical empirical analysis. It explores potential as a driving force for reducing intensity. has been found that country's economic development can reduce by influencing innovation level, energy structure, total factor productivity. Further analysis reveals increased participation in global value chains rising status will strengthen reduction effect economy; is more evident countries with weaker environmental regulation

Language: Английский

Digital finance and rural revitalization: Empirical test and mechanism discussion DOI
Qiong Xu,

Meirui Zhong,

Yu Dong

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123248 - 123248

Published: Feb. 3, 2024

Language: Английский

Citations

34

Digital economy, industrial structure upgrading, and residents' consumption: Empirical evidence from prefecture-level cities in China DOI
Yizi Wang,

Lanyi Li

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 92, P. 1045 - 1058

Published: Feb. 21, 2024

Language: Английский

Citations

26

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

Towards inclusive green growth in China: Synergistic roles and mechanisms of new infrastructure construction DOI
Yuwei Song, Heping Huang, Ying Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 353, P. 120281 - 120281

Published: Feb. 1, 2024

Language: Английский

Citations

17

Digital economy and consumption upgrading: scale effect or structure effect? DOI
Dong Guo,

Lin Li,

Lu Qiao

et al.

Economic Change and Restructuring, Journal Year: 2023, Volume and Issue: 56(6), P. 4713 - 4744

Published: Nov. 21, 2023

Language: Английский

Citations

40

Towards sustainability: How does the digital-real integration affect regional green development efficiency? DOI
Baoliu Liu, Yujie Huang,

Mengmei Chen

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 42 - 59

Published: June 12, 2024

Language: Английский

Citations

14

Digital economy and the urban–rural income gap: Impact, mechanisms, and spatial heterogeneity DOI Creative Commons

He Xia,

Haijing Yu,

Shangqing Wang

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(3), P. 100505 - 100505

Published: June 29, 2024

This study examines how digital economy development in China impacts the urban–rural income gap. We construct a index using panel data from 30 provinces and cities 2013 to 2021. By combining spatially varying coefficient model with chain–mediated effect model, we quantify impact of on gap examine its spatial heterogeneity. The results show that influences through four different pathways, each which exhibits significant variation. As these paths offset other, Beijing, Inner Mongolia, Shanxi, Henan, Hubei, Jiangxi, Jiangsu, Guangdong, other has widened gap, resulting divide effect. However, most areas China's northeast, east coast, western regions, narrowed dividend investigates relevant debates among scholars provides valuable insights foundations for strategic decision making reduce various regions.

Language: Английский

Citations

14

How can rural digitalization improve agricultural green total factor productivity: Empirical evidence from counties in China DOI Creative Commons

Shen Lu,

Jincai Zhuang,

Zenan Sun

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35296 - e35296

Published: July 26, 2024

Against the backdrop of escalating environmental pollution and resource depletion induced by traditional agricultural industry development, imperative for efficiency ecologically friendly practices has become pivotal global sustainability. In digital era, rural digitalization substantially amplified production while notably reducing pollution. This study is based on panel data from 1602 counties in China spanning 2011 to 2020, measuring levels green total factor productivity (AGTFP) across these counties, empirically examining their dynamic correlation. The research findings reveal: (1) A significant enhancement AGTFP with elevation digitalization; every 1 % increase digitalization, increases 1.78 %. Robustness checks, including instrumental variables quasi-natural experiments, affirm validity conclusions. Furthermore, comparing regional differences China, it can be observed that impact varies different areas: eastern, central, western regions, 2.65 %, 1.53 0.82 respectively. (2) Rural fosters an stimulating entrepreneurial activity, mediation effect activity accounting 3.34 effect. (3) Utilizing a threshold model, observations indicate when surpasses first 0.3200, coefficient escalates 0.0462 0.7519. However, exceeds second 0.7118, this declines 0.2429, signifying nonlinear trend marginal AGTFP-initial followed attenuation. (4) spatial model analysis, confirms spillover effects AGTFP, indicating variations among matrices. indirect mainly influenced neighboring counties' levels, contribute more significantly than direct effects. Based conclusions, paper proposes augmenting investments implementing diversified schemes, invigorating harmonizing development as novel approaches enhance thereby fostering economic development.

Language: Английский

Citations

13

How does digitalization affect the urban-rural disparity at different disparity levels: A Bayesian Quantile Regression approach DOI
Hongpeng Fu, Jianxing Guan, Runzi Wang

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 78, P. 102633 - 102633

Published: June 15, 2024

Language: Английский

Citations

12

The Influence and Mechanism of Digital Village Construction on the Urban–Rural Income Gap under the Goal of Common Prosperity DOI Creative Commons
Muziyun Liu, Hui Liu

Agriculture, Journal Year: 2024, Volume and Issue: 14(5), P. 775 - 775

Published: May 17, 2024

Digital village construction is not only a vital component of the digital China strategy but also crucial measure by which to realize common prosperity. This study theoretically elaborates influence on urban–rural income gap (URIG) and its mechanism empirically tests it using panel fixed-effect model, mediating-effect moderating-effect model based provincial data major producing areas from 2011 2020. The results show that can significantly narrow URIG, rural industry revitalization channel for in driving decline URIG. transportation infrastructure enhance inhibition effect Moreover, there human capital threshold impact URIG; after crossing threshold, better suppresses So, government should increase financial support technical construction, improving production conditions industrial development environment establishing talent cultivation so as achieve goal

Language: Английский

Citations

10