Do energy trade patterns affect renewable energy development? The threshold role of digital economy and economic freedom DOI
Chao Feng, Yuqi Liu, Jun Yang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 203, P. 123371 - 123371

Published: April 3, 2024

Language: Английский

Environmental sustainability in the OECD: The power of digitalization, green innovation, renewable energy and financial development DOI
Selin Karlilar Pata, Mehmet Balcılar, Fırat Emir

et al.

Telecommunications Policy, Journal Year: 2023, Volume and Issue: 47(6), P. 102568 - 102568

Published: May 5, 2023

Language: Английский

Citations

122

How does digital economy development affect renewable energy innovation? DOI
Jiahui Yi, Sheng Dai, Lin Li

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 192, P. 114221 - 114221

Published: Dec. 21, 2023

Language: Английский

Citations

66

The synergy effect through combination of the digital economy and transition to renewable energy on green economic growth: Empirical study of 18 Latin American and caribbean countries DOI Creative Commons
Young Kyu Hwang

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 418, P. 138146 - 138146

Published: July 19, 2023

Tremendous effects on the global economy in terms of economic, social and environmental costs remind us catastrophic consequences climate change warming caused by CO2 emissions. Therefore, accelerating decarbonization energy system should be put place to curb large amount emission from hydrocarbon sources which current value chain production heavily relies.This study focuses analyzing renewable transition, digital economy, synergy between them green economic growth 18 Latin American countries. To capture multidimensionality these transitions, Renewable Energy Transition Index (RETI) Digital Economy (DEI) are developed using Principal Component Factor (PCF) technique. The Fixed Effect Panel Threshold Regression (FEPTR) substantiates that transition has a significant threshold effect sustainability depending level income carbon On other hand, Method Moments Quantile (MMQR) shows both have positive impact all quantile groups. For sustainability, only is found From synergistic perspectives, emissions reduction observed low middle groups, but promotion group.

Language: Английский

Citations

59

The impact of digital economy on renewable energy development in China DOI Creative Commons
Mingbo Zheng,

Chun Yee Wong

Innovation and Green Development, Journal Year: 2023, Volume and Issue: 3(1), P. 100094 - 100094

Published: Aug. 24, 2023

Digital economy has been the essential driving force for green development and energy transition, while role of digital in renewable remains limited. This paper explores how alters China. Based on panel data 31 provinces fixed effects model, this finds a positive association between development. The exhibits stronger impact hydro compared to wind solar energy. Local government intervention can enhance development, reducing effect We also find that produces larger promoting central western with eastern provinces.

Language: Английский

Citations

55

Identifying the Right Policies for Increasing the Efficiency of the Renewable Energy Transition with a Novel Fuzzy Decision-Making Model DOI Creative Commons
Hasan Dınçer, Serhat Yüksel, Serkan Eti

et al.

Journal of Soft Computing and Decision Analytics, Journal Year: 2023, Volume and Issue: 1(1), P. 50 - 62

Published: Aug. 28, 2023

Necessary improvements should be made to the determinants of renewable energy transition. However, it is necessary give priority issues that are more important while making this process since all cause cost increase. Therefore, a new analysis needed in which most ones among these criteria will determined. The purpose study identify essential items for Within context, five selected based on literature review results. Spherical fuzzy (TOPSIS-based DEMATEL) TOP-DEMATEL methodology taken into consideration calculate weights indicators. In second part study, alternatives ranked with ranking technique by geometric mean similarity ratio optimal solution (RATGOS). BRICS countries (Brazil, Russia, India, China, South Africa) as alternatives. main contribution method (RATGOS) created considering proportional concepts. On other side, (TOP-DEMATEL) also proposed overcome criticisms DEMATEL. It concluded technological development plays role success Similarly, finding effective financial source very condition. results demonstrate China and Russia successful regarding defined Africa India less transition comparing countries. understood critical increasing efficiency process. Thanks use up-to-date technology, possible resources efficiently. Technological developments storage processes. Variations climatic conditions irregularities production efficient processes, solve problem.

Language: Английский

Citations

55

How does digital economy affect energy poverty? Analysis from the global perspective DOI
Ying Wang, Yong Wang, Muhammad Shahbaz

et al.

Energy, Journal Year: 2023, Volume and Issue: 282, P. 128692 - 128692

Published: Aug. 7, 2023

Language: Английский

Citations

51

Energy development in rural China toward a clean energy system: utilization status, co-benefit mechanism, and countermeasures DOI Creative Commons
Shi Yin, Zheng Zhao

Frontiers in Energy Research, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 1, 2023

In order to promote the construction of a clean, low-carbon, and diversified modern rural new energy system, this study examines development, utilization, connection, system in China. This is done through classification, integration, systematic analysis official statistical data materials from recent years. Utilizing descriptive analysis, holds great theoretical practical significance. The findings indicate following: 1) overall, development China’s areas progressing well. However, there an increasing contradiction between supply consumption. 2) industry experiencing overall growth, accompanied by policy support. Despite this, industry’s driving effect not substantial. 3) production equipment lagging, resulting insufficient cleanliness There still significant gap compared goal requirements agricultural modernization. 4) During process connection exists lack strong connections various subjects interest. interest relationship consequently unstable, necessitating improvement closely-knit community. Taking issue as its starting point, paper thoroughly explores mechanisms connection. It delves into different stakeholders provides guidelines for optimizing construction. Ultimately, research aims contribute revitalization, facilitate realization “double carbon” goal, establish system.

Language: Английский

Citations

43

How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society DOI Creative Commons
Bo Wang, Jianda Wang, Kangyin Dong

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 186, P. 114010 - 114010

Published: Feb. 1, 2024

As China's energy development undergoes a process from qualitative improvements to quantitative changes, high-quality (HED) has become vital strategy of the Chinese government. representative emerging technologies, artificial intelligence (AI) can effectively promote clean transition, strengthen security, and enhance above process. Therefore, this paper explores relationship between AI HED based on gauging index level 30 provinces in China covering 2007–2017. In addition, we use green innovation R&D intensity as mediating variables study indirect effect HED. We further explore threshold digital economy The results indicate that positively affects China; specifically, every 1 % increase will lead 0.032 index. Moreover, indirectly increases by improving intensity. Further, shows influences impact This means have significantly positive areas with developed economy. Finally, provide practical approaches reference suggestions for achieve transition assistance AI.

Language: Английский

Citations

41

The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries DOI

Jianling Jiao,

Jiangfeng Song, Tao Ding

et al.

Energy, Journal Year: 2024, Volume and Issue: 295, P. 130997 - 130997

Published: March 13, 2024

Language: Английский

Citations

32

The response of energy aid and natural resources consumption in load capacity factor of the Asia Pacific emerging countries DOI
Chuanwang Sun, Anwar Khan, Weiyi Cai

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 190, P. 114150 - 114150

Published: May 10, 2024

Language: Английский

Citations

29