Muhammad Qamar Rasheed
Biographic Data
| ID | 4639393 |
|---|---|
| NAME | Muhammad Qamar Rasheed |
| GIVEN NAMES | Muhammad Qamar |
| FAMILY NAME | Rasheed |
| SIGNATURE | RASHEED M Q |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0002-0407-0861 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Sustainable pathways in leading emitters
Driving sustainable growth necessitates energy policies that prioritize energy sustainability, accessibility, and efficiency (ESAE). This research pioneers an assessment of the impact of holistic ESAE endeavors in the context of achieving Sustainable Development Goals (SDGs) 7 and 13. The analysis centers on 20 leading emitters, contributing approximately 79% to global CO2 emissions. The study adopts the energy productive capacity index, which me…
Analyzing the effects of wind energy and transportation on the ecological footprint
Can Computer Technology, Semiconductors, and Artificial Intelligence Shape a Sustainable Future? Evidence From Leading Semiconductor‐Producing Countries
Technological innovation is redefining environmental quality by promoting green and efficient technologies. Keeping in view, this study brings a novel and sophisticated idea to address these challenges by promoting sustainable development and integrating key innovative determinants, including computer technology, semiconductors, and artificial intelligence with sustainable development. Our study employs panel Autoregressive Distributed Lag‐Pooled…
Exploring the Impact of Technology Related to Artificial Intelligence, Circular Economy, and Energy Intensity on Sustainable Development Goal 13
This research initiates an uninterrogated quantile‐based statistical inference with fixed effects to explore the understudied interconnectivity among technology related to AI, circular economy, and carbon emissions. This study adopts a data‐driven methodologies spanning from 1996 to 2021 to systematically contemplate nine innovative nations, aiming to bridge the knowledge absence in this domain. Carried out a wide range of advanced empirical tech…
How do semiconductors, artificial intelligence, geopolitical risk, and their moderating effects shape renewable energy production in leading semiconductor manufacturing countries
Assessing green energy production and industrial excellence in Asian emerging economies in the context of industrial transformation and sustainable development
How do semiconductors, artificial intelligence, geopolitical risk, and their moderating effects shape renewable energy production in leading semiconductor manufacturing countries
Can Computer Technology, Semiconductors, and Artificial Intelligence Shape a Sustainable Future? Evidence From Leading Semiconductor‐Producing Countries
Technological innovation is redefining environmental quality by promoting green and efficient technologies. Keeping in view, this study brings a novel and sophisticated idea to address these challenges by promoting sustainable development and integrating key innovative determinants, including computer technology, semiconductors, and artificial intelligence with sustainable development. Our study employs panel Autoregressive Distributed Lag‐Pooled…
Assessing green energy production and industrial excellence in Asian emerging economies in the context of industrial transformation and sustainable development
Sustainable pathways in leading emitters
Driving sustainable growth necessitates energy policies that prioritize energy sustainability, accessibility, and efficiency (ESAE). This research pioneers an assessment of the impact of holistic ESAE endeavors in the context of achieving Sustainable Development Goals (SDGs) 7 and 13. The analysis centers on 20 leading emitters, contributing approximately 79% to global CO2 emissions. The study adopts the energy productive capacity index, which me…
Analyzing the effects of wind energy and transportation on the ecological footprint
Can Computer Technology, Semiconductors, and Artificial Intelligence Shape a Sustainable Future? Evidence From Leading Semiconductor‐Producing Countries
Technological innovation is redefining environmental quality by promoting green and efficient technologies. Keeping in view, this study brings a novel and sophisticated idea to address these challenges by promoting sustainable development and integrating key innovative determinants, including computer technology, semiconductors, and artificial intelligence with sustainable development. Our study employs panel Autoregressive Distributed Lag‐Pooled…
Exploring the Impact of Technology Related to Artificial Intelligence, Circular Economy, and Energy Intensity on Sustainable Development Goal 13
This research initiates an uninterrogated quantile‐based statistical inference with fixed effects to explore the understudied interconnectivity among technology related to AI, circular economy, and carbon emissions. This study adopts a data‐driven methodologies spanning from 1996 to 2021 to systematically contemplate nine innovative nations, aiming to bridge the knowledge absence in this domain. Carried out a wide range of advanced empirical tech…
How do semiconductors, artificial intelligence, geopolitical risk, and their moderating effects shape renewable energy production in leading semiconductor manufacturing countries
Energy, Environment, Economic Growth (6 works) · Economics (5 works) · Business (3 works) · Ecology (3 works) · Energy, Environment, and Transportation Policies (3 works) · Environmental Impact and Sustainability (3 works) · Sustainable development (3 works) · Biology (2 works) · Energy and Environment Impacts (2 works) · Engineering (2 works)