Artificial intelligence, disruption of financial markets and natural resources economy in the digital era DOI Creative Commons
Ayfer Gedikli, Gagan Deep Sharma, Seyfettin Erdoğan

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 92, P. 104953 - 104953

Published: April 11, 2024

Language: Английский

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

15

The role of natural resources, and economic development in evaluating the environmental effects of biofuel and waste energy generation in the group of BRICS DOI
Xue Gong, Muhammad Umar Aslam

Applied Energy, Journal Year: 2024, Volume and Issue: 372, P. 123846 - 123846

Published: July 4, 2024

Language: Английский

Citations

13

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO2 emissions: A Quantile–on–Quantile technique DOI
Oluwatoyin Abidemi Somoye, Mehdi Seraj, Hüseyin Özdeşer

et al.

Geological Journal, Journal Year: 2024, Volume and Issue: 59(4), P. 1322 - 1336

Published: Feb. 4, 2024

As Nigeria progresses towards reaching net‐zero emissions by 2060, it is crucial to identify the factors responsible for environmental deterioration and those that enhance ecological well‐being. It equally significant emphasize Nigeria's economy heavily dependent on fossil fuels, which have proven unsustainable environmentally unsafe. a result, this research investigates impact of energy intensity (EINT), renewable consumption (RENC), globalization (GLOX), technological innovation (TINV) carbon dioxide (CO 2 ) in from 1990Q1–2019Q4. The methods employed include Quantile–on–Quantile (QQ) non–parametric causality. QQ method reveals EINT has both positive negative impacts CO , varying magnitude 3 −5. Higher quantiles RENC tend influence positively, whereas lower quantile impact. Negative shocks GLOX less impact, with maximum −1 at upper . In contrast, seem stronger vary magnitude. TINV across all quantiles. addition, causality observed upper, middle This study suggests policymakers should implement policies encouraging investments green technologies.

Language: Английский

Citations

9

The Link between Human Development, Foreign Direct Investment, Renewable Energy, and Carbon Dioxide Emissions in G7 Economies DOI Creative Commons
Nuno Carlos Leitão

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 978 - 978

Published: Feb. 20, 2024

This research evaluates the determinants of pollution emissions, considering human development index, international trade, renewable energy, and foreign direct investment (FDI) as explanatory variables. study tests relationship between trade intensity FDI on carbon dioxide arguments haven hypothesis (PHH) versus halo (HP). The econometric strategy applies panel data (fixed effects, random effects), a generalised linear model (Gamma), cointegration models such FMOLS DOLS, ARDL model, quantile regressions to from G7 countries 1990 2019. Before using models, this investigation considers preliminary unit root test (first second generation) test. results show that decreased emissions. In addition, energy improves air quality aims reduce climate change. inverted environmental Kuznets curve also supports when evaluating index

Language: Английский

Citations

9

Artificial intelligence, disruption of financial markets and natural resources economy in the digital era DOI Creative Commons
Ayfer Gedikli, Gagan Deep Sharma, Seyfettin Erdoğan

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 92, P. 104953 - 104953

Published: April 11, 2024

Language: Английский

Citations

9