The impacts of information and communication technology, energy consumption, financial development, and economic growth on carbon dioxide emissions in 12 Asian countries
By Wen-Cheng Lu. Mitigation and Adaptation Strategies for Global Change, 2018
271 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b8aae51b43f49a2c2d7488210c966e49a11044b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Arshian Sharif
- Asif Razzaq
- A. Jahanger
- Muhammad Atif Khan
- Boqiong Yang
- Ahsan Anwar
- Avik Sinha
- Fengsheng Chien
In Renewable Energy, Sustainability and the Environment
- A. Jahanger
- Muhammad Atif Khan
- Boqiong Yang
- Arshian Sharif
- Ching-Chih Hsu
- Xiaoxin Ma
- Fengsheng Chien
- Ahsan Anwar
Citations in the corpus
- The Impact of Financial Development on Carbon Emissions: A Global Perspective (2019, background): “Lu [24] studies the causality relationship between financial development and carbon emissions based on a panel causality test and the panel data of 12 Asian countries from 1993–2013.”
- Does the inflow of remittances and energy consumption increase CO2 emissions in the era of globalization? A global perspective (2020, background): “Some researchers such as Lu (2018); Cetin et al. (2018); Bekhet et al. (2017) found that financial development can increase CO2 emissions, but some other scholars Zaidi et al. (2019); Saidi and Mbarek (2017); Omri et al. (2015) (Nasreen et al. 2017) have investigated that financial development…”
- Inequality, finance and renewable energy consumption in Sub-Saharan Africa (2021, unknown): “(2017); Cetin, Ecevit and Yucel (2018); Ali et al. (2018) and Lu (2018).”
- The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries (2021, methodology): “In methodological terms, this study employs the novel approach of Machado and Silva (2019) known as Method of Moments - Quantile Regression (MMQR) to address the research problem.”