Impact of environmental regulation on green total factor productivity: a new perspective of green technological innovation DOI
Fan Min, Ping Yang, Qing Li

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(35), P. 53785 - 53800

Published: March 15, 2022

Language: Английский

Digitalization and sustainable development: How could digital economy development improve green innovation in China? DOI
Shiyue Luo, Nafisa Yimamu, Yueran Li

et al.

Business Strategy and the Environment, Journal Year: 2022, Volume and Issue: 32(4), P. 1847 - 1871

Published: Aug. 23, 2022

Abstract In the context of sustainable development, countries around world shed more light on green innovation in their environmental policies, and digital economy may take a vital part improving innovation. Predicted panel data 278 cities China from 2011 to 2019, this research administrates principal component analysis (PCA) evaluate advancement level urban employs number patent applications represent level. Through benchmark regression model, mediating effect spatial Durbin dynamic threshold gradual difference‐in‐difference paper explores direct effect, indirect nonlinear relationship, policy that has The development can improve levels ways, such as by boosting degree economic openness, optimizing industrial structure, expanding market potential, potential advance, promotion intensity is becoming lower lower. an obvious spillover effect. Still, enhancement developed regions inhibit less due talent flow transfer. Finally, model founded ‘Broadband China’ pilot supplementarily verifies substantially advance

Language: Английский

Citations

501

Digital economy and carbon emission performance: Evidence at China's city level DOI
Wei Zhang, Xuemeng Liu, Die Wang

et al.

Energy Policy, Journal Year: 2022, Volume and Issue: 165, P. 112927 - 112927

Published: April 7, 2022

Language: Английский

Citations

499

Effects of digital economy on carbon emission reduction: New evidence from China DOI
Ming Yi,

Yafen Liu,

Mingyue Selena Sheng

et al.

Energy Policy, Journal Year: 2022, Volume and Issue: 171, P. 113271 - 113271

Published: Oct. 1, 2022

Language: Английский

Citations

420

Digital economy: An innovation driving factor for low-carbon development DOI
Jinning Zhang, Yanwei Lyu, Yutao Li

et al.

Environmental Impact Assessment Review, Journal Year: 2022, Volume and Issue: 96, P. 106821 - 106821

Published: June 4, 2022

Language: Английский

Citations

404

The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development DOI

Qiang Ma,

Muhammad Tariq, Haider Mahmood

et al.

Technology in Society, Journal Year: 2022, Volume and Issue: 68, P. 101910 - 101910

Published: Jan. 30, 2022

Language: Английский

Citations

379

Assessing the digital economy and its carbon-mitigation effects: The case of China DOI
Jianda Wang, Kangyin Dong, Xiucheng Dong

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 113, P. 106198 - 106198

Published: July 29, 2022

Language: Английский

Citations

325

Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China DOI
Lu Zhang, Renyan Mu, Yuan-Fang Zhan

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 852, P. 158403 - 158403

Published: Aug. 31, 2022

Language: Английский

Citations

325

The emerging driving force of inclusive green growth: Does digital economy agglomeration work? DOI
Shuming Ren, Lianqing Li,

Yueqi Han

et al.

Business Strategy and the Environment, Journal Year: 2022, Volume and Issue: 31(4), P. 1656 - 1678

Published: Feb. 15, 2022

Abstract Inclusive green growth, which considers inclusive growth and is a sustainable development model that aims to pursue the comprehensive harmonious of humans, economy, society, environment. Against backdrop pandemic as well sluggish economic development, global economy endowed with driving mission may affect growth. This research primarily discusses influence digital agglomeration on its transmission mechanism in China. Specifically, slacks‐based measure directional distance functions (SBM‐DDF) was integrated Malmquist–Luenberger index (GML) calculate at city level for 282 cities China during 2004–2019. A measurement system constructed, degree each region further measured through geographic concentration. Based these analyses, this points out exerts positive The analysis indicates influenced by energy consumption, environmental pollution, human capital, industrial structure, technological progress. Moreover, taking “Broadband China” pilot policy starting point, spatial difference‐in‐differences (SDID) used analyze effect. results suggest conducive enhancing local while it inhibits neighboring cities.

Language: Английский

Citations

246

Digitalization and carbon emissions: How does digital city construction affect china's carbon emission reduction? DOI
Zhen Yang, Weijun Gao, Qing Han

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 87, P. 104201 - 104201

Published: Sept. 25, 2022

Language: Английский

Citations

196

How does the digital economy improve high-quality energy development? The case of China DOI
Jianda Wang, Bo Wang, Kangyin Dong

et al.

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 184, P. 121960 - 121960

Published: Aug. 26, 2022

Language: Английский

Citations

169