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

Environmental Research, Год журнала: 2022, Номер 216, С. 114637 - 114637

Опубликована: Окт. 23, 2022

Язык: Английский

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

Resources Policy, Год журнала: 2023, Номер 85, С. 103890 - 103890

Опубликована: Июль 14, 2023

Язык: Английский

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

Geoscience Frontiers, Год журнала: 2023, Номер 15(3), С. 101644 - 101644

Опубликована: Июнь 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.

Язык: Английский

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

Telecommunications Policy, Год журнала: 2023, Номер 48(3), С. 102699 - 102699

Опубликована: Дек. 27, 2023

Язык: Английский

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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

Environmental Research, Год журнала: 2023, Номер 221, С. 115290 - 115290

Опубликована: Янв. 13, 2023

Язык: Английский

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Does renewable energy reduce per capita carbon emissions and per capita ecological footprint? New evidence from 130 countries

Energy Strategy Reviews, Год журнала: 2023, Номер 49, С. 101121 - 101121

Опубликована: Июль 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

Язык: Английский

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Formulating sustainable development policies for China within the framework of socioeconomic conditions and government stability

Environmental Pollution, Год журнала: 2023, Номер 328, С. 121673 - 121673

Опубликована: Апрель 19, 2023

Язык: Английский

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The dynamic relationship between climate policy uncertainty and renewable energy in the US: Applying the novel Fourier augmented autoregressive distributed lags approach

Energy, Год журнала: 2023, Номер 275, С. 127383 - 127383

Опубликована: Апрель 11, 2023

Язык: Английский

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

Energy Strategy Reviews, Год журнала: 2023, Номер 49, С. 101141 - 101141

Опубликована: Июль 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.

Язык: Английский

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

Gondwana Research, Год журнала: 2023, Номер 129, С. 371 - 380

Опубликована: Июнь 7, 2023

Язык: Английский

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