Influencing mechanisms of renewable energy development on carbon emission intensity in China DOI
Yiqi Wang, Ting Lei

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 372, P. 123402 - 123402

Published: Nov. 25, 2024

Language: Английский

Assessment of operational carbon emissions for residential buildings comparing different machine learning approaches: A study of 34 cities in China DOI

Rongming Huang,

Xiaocun Zhang, Kaihua Liu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 250, P. 111176 - 111176

Published: Jan. 9, 2024

Language: Английский

Citations

26
Assessment and regression of carbon emissions from the building and construction sector in China: A provincial study using machine learning DOI
Xiaocun Zhang, Jiayue Sun, Xueqi Zhang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141903 - 141903

Published: March 26, 2024

Language: Английский

Citations

24
Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint? DOI Creative Commons

Erna Farina Mohamed,

Azlina Abdullah,

Amar Hisham Jaaffar

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 53, P. 101387 - 101387

Published: April 24, 2024

This study utilizes the Autoregressive Distributed Lag (ARDL) method to investigate impact of electricity intensity (EINT), renewable energy in generation (ERE), and gross domestic product (GDP) on Malaysia's environmental quality, spanning from 1985 2020.The research employs carbon emissions (CO 2 emissions) ecological footprint (EF) as proxies for degradation.The results indicate a signi cant these variables both CO EF over long run.Notably, also identi es an inverted U-shaped relationship cases EF) between GDP degradation, thereby validating existence Environmental Kuznets Curve (EKC) hypothesis.The ndings imply that while is associated with increased emissions, use (RE) sources may contribute emission reduction.But show reversal signs EF.By adopting fully modi ed ordinary least square (FMOLS) method, showed same results, thus, justifying cointegrating studied variables.Drawing outcomes, proposes policy recommendations foster sustainability economic growth, emphasizing need strategic interventions mix policies.

Language: Английский

Citations

22
Can renewable energy development facilitate China's sustainable energy transition? Perspective from Energy Trilemma DOI
Zhaofu Yang, Liu Hong,

Yongna Yuan

et al.

Energy, Journal Year: 2024, Volume and Issue: 304, P. 132160 - 132160

Published: June 22, 2024

Language: Английский

Citations

19
Global insights on the impact of digital infrastructure on carbon emissions: A multidimensional analysis DOI
Shuai Che, Le Wen, Wang Jun

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122144 - 122144

Published: Aug. 11, 2024

Language: Английский

Citations

19
Does renewable energy reduce energy intensity? A matter of income inequality DOI Creative Commons
Rongrong Li, Zhuang Yang,

Qiang Wang

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 5, 2025

Language: Английский

Citations

2
China's provincial-level sustainable energy transition requires accelerating renewable energy technological innovation DOI
Guanglei Yang, Guoxing Zhang, Dongqin Cao

et al.

Energy, Journal Year: 2023, Volume and Issue: 288, P. 129672 - 129672

Published: Nov. 23, 2023

Language: Английский

Citations

36
The impact of tourism, urbanization, globalization, and renewable energy on carbon emissions: Testing the inverted N-shape environmental Kuznets curve DOI Creative Commons
Rudi Purwono, Lilik Sugiharti, Miguel Angel Esquivias

et al.

Social Sciences & Humanities Open, Journal Year: 2024, Volume and Issue: 10, P. 100917 - 100917

Published: Jan. 1, 2024

This research investigates the relationship between tourism, urbanization, renewable energy, and carbon (CO2) emissions in 77 countries 2008 2019. Specifically, by applying a quantile regression approach, this study delves into existence of an inverted N-shape curve connection tourism CO2 while also considering roles global economic activities, as indicated flows trade, foreign direct investment (FDI). The findings reveal correlation emissions, indicating decline at initial stage, rise sector matures, finally again CO2. underscores significance adopting energy sources controlling urbanization to mitigate emissions. show that control variables, i.e., GDP, FDI, impact differently. GDP positively significantly affects particularly noticeable lower quartiles. Likewise, FDI with more contribution from higher quartiles than Conversely, trade negatively impacts showing pronounced effect. contributes providing empirical evidence on importance sustainable practices integration, well potential improvement matures.

Language: Английский

Citations

16
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
Regional differences, source decomposition and formation mechanism of urban digital economy and energy market integration in China DOI
Peng Zeng, Yue Wang, Zhongyang Tian

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 451, P. 141960 - 141960

Published: March 27, 2024

Language: Английский

Citations

11