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

и другие.

Environmental Science and Pollution Research, Год журнала: 2022, Номер 29(35), С. 53785 - 53800

Опубликована: Март 15, 2022

Язык: Английский

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

и другие.

Energy Policy, Год журнала: 2022, Номер 165, С. 112927 - 112927

Опубликована: Апрель 7, 2022

Язык: Английский

Процитировано

523

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

и другие.

Business Strategy and the Environment, Год журнала: 2022, Номер 32(4), С. 1847 - 1871

Опубликована: Авг. 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

Язык: Английский

Процитировано

523

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

Yafen Liu,

Mingyue Selena Sheng

и другие.

Energy Policy, Год журнала: 2022, Номер 171, С. 113271 - 113271

Опубликована: Окт. 1, 2022

Язык: Английский

Процитировано

436

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

и другие.

Environmental Impact Assessment Review, Год журнала: 2022, Номер 96, С. 106821 - 106821

Опубликована: Июнь 4, 2022

Язык: Английский

Процитировано

430

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

и другие.

Technology in Society, Год журнала: 2022, Номер 68, С. 101910 - 101910

Опубликована: Янв. 30, 2022

Язык: Английский

Процитировано

387

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

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 852, С. 158403 - 158403

Опубликована: Авг. 31, 2022

Язык: Английский

Процитировано

341

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

и другие.

Energy Economics, Год журнала: 2022, Номер 113, С. 106198 - 106198

Опубликована: Июль 29, 2022

Язык: Английский

Процитировано

335

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

Yueqi Han

и другие.

Business Strategy and the Environment, Год журнала: 2022, Номер 31(4), С. 1656 - 1678

Опубликована: Фев. 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.

Язык: Английский

Процитировано

253

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

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 87, С. 104201 - 104201

Опубликована: Сен. 25, 2022

Язык: Английский

Процитировано

206

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

и другие.

Technological Forecasting and Social Change, Год журнала: 2022, Номер 184, С. 121960 - 121960

Опубликована: Авг. 26, 2022

Язык: Английский

Процитировано

182