Decomposition and decoupling analysis of carbon emissions in China's construction industry using the generalized Divisia index method DOI
Yuan Liu, Lei Gan, Weiguang Cai

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 104, P. 107321 - 107321

Published: Oct. 17, 2023

Language: Английский

Revisiting the environmental kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent DOI

Qiang Wang,

Fuyu Zhang, Rongrong Li

et al.

Environmental Research, Journal Year: 2022, Volume and Issue: 216, P. 114637 - 114637

Published: Oct. 23, 2022

Language: Английский

Citations

455

Do natural resource rent and corruption governance reshape the environmental Kuznets curve for ecological footprint? Evidence from 158 countries DOI
Rongrong Li,

Qiang Wang,

Lejia Li

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 85, P. 103890 - 103890

Published: July 14, 2023

Language: Английский

Citations

173

Digital economy and carbon dioxide emissions: Examining the role of threshold variables DOI Creative Commons

Qiang Wang,

Jiayi Sun, Uğur Korkut Pata

et al.

Geoscience Frontiers, Journal Year: 2023, Volume and Issue: 15(3), P. 101644 - 101644

Published: June 5, 2023

Considering that previous literature has mainly focused on the impact of digital economy (DE) environmental degradation, ignoring role natural resources, this study uses two key factors (natural resource rent and anticorruption regulation) as threshold variables to reveal effect resources association between DE carbon dioxide (CO2) emissions. In doing so, covers 97 countries, annual data 2003 2019, applies a panel model. The outcomes present influence CO2 emissions single-threshold (i.e., there is an inverted U-shaped link emissions) when variable. Specifically, significantly increases at low-to-medium level, but suppresses growth exceeds threshold. Moreover, drives overall regulation variable are double thresholds for its rise in initially exacerbates contribution then weakens it over time. Based results, proposes various implications, such formulating development strategy, considering DE, strengthening anti-corruption efforts field protection.

Language: Английский

Citations

153

Could information and communication technology (ICT) reduce carbon emissions? The role of trade openness and financial development DOI

Qiang Wang,

Sailan Hu,

Rongrong Li

et al.

Telecommunications Policy, Journal Year: 2023, Volume and Issue: 48(3), P. 102699 - 102699

Published: Dec. 27, 2023

Language: Английский

Citations

151

Exploring the role of nuclear energy in the energy transition: A comparative perspective of the effects of coal, oil, natural gas, renewable energy, and nuclear power on economic growth and carbon emissions DOI

Qiang Wang,

Jiale Guo, Rongrong Li

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 221, P. 115290 - 115290

Published: Jan. 13, 2023

Language: Английский

Citations

134

Does renewable energy reduce per capita carbon emissions and per capita ecological footprint? New evidence from 130 countries DOI Creative Commons
Rongrong Li,

Qiang Wang,

Lejia Li

et al.

Energy Strategy Reviews, Journal Year: 2023, Volume and Issue: 49, P. 101121 - 101121

Published: July 20, 2023

This study explores whether increasing renewable energy consumption can alleviate environmental pressures (per capita carbon emissions and per ecological footprint) the heterogeneity of effects on countries in different income groups. We analyze 130 three groups from 1992 to 2019 based a panel threshold regression estimation approach. The results show that (i) There is negative relationship between footprint emissions, indicating alleviates pressure. (ii) When increases, become more significant. means developed, it helps (iii) inhibitory effect significant low-income than middle-income countries. indicates effective reducing poor rich

Language: Английский

Citations

84

Formulating sustainable development policies for China within the framework of socioeconomic conditions and government stability DOI
Tomiwa Sunday Adebayo, Sami Ullah

Environmental Pollution, Journal Year: 2023, Volume and Issue: 328, P. 121673 - 121673

Published: April 19, 2023

Language: Английский

Citations

77

The dynamic relationship between climate policy uncertainty and renewable energy in the US: Applying the novel Fourier augmented autoregressive distributed lags approach DOI
Qasim Raza Syed, Nicholas Apergis, Soo Khoon Goh

et al.

Energy, Journal Year: 2023, Volume and Issue: 275, P. 127383 - 127383

Published: April 11, 2023

Language: Английский

Citations

71

China's CO2 emissions: A systematical decomposition concurrently from multi-sectors and multi-stages since 1980 by an extended logarithmic mean divisia index DOI Creative Commons
Junsong Jia,

Lele Xin,

Chengfang Lu

et al.

Energy Strategy Reviews, Journal Year: 2023, Volume and Issue: 49, P. 101141 - 101141

Published: July 21, 2023

China's carbon dioxide (CO2) emissions have an important impact on global climate change. However, a systematical analysis, especially from the reform and opening up, is still insufficient. Thus, emissions' decomposition since 1980 was completed by extended logarithmic mean Divisia index (LMDI), concurrently perspectives of multi-sectors multi-stages. The six sectors were (ⅰ) agriculture forestry animal husbandry fishery (AF), (ⅱ) industry, (ⅲ) construction, (ⅳ) transport storage post (TP), (ⅴ) wholesale retail trades hotels catering services (WRC), (ⅵ) others. four stages 1980–1990, 1990–2000, 2000–2010 2010–2018. results indicated that (1) CO2 grew 11.35 × 108 t in to 96.20 2018 coal has produced largest proportion. (2) industry main source (79.83%) total emissions. (3) TP's energy industrial structure AF's showed mitigating effect increase. emission coefficient presented driving 1980–1990 also mitigation Apart these exceptions, other factors' effects each stage consistent with effect. (4) Totally, economic output dominant (147.01%), followed population size (12.80%), (8.71%), (6.58%). Inversely, intensity clearest (−66.85%), (−8.23%). These obviously guiding significances low-carbon consumption.

Language: Английский

Citations

64

Linking trade openness to load capacity factor: The threshold effects of natural resource rent and corruption control DOI

Qiang Wang,

Jiayi Sun, Rongrong Li

et al.

Gondwana Research, Journal Year: 2023, Volume and Issue: 129, P. 371 - 380

Published: June 7, 2023

Language: Английский

Citations

63