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Muntasir Murshed

Researcher at North South University

Publications -  168
Citations -  5944

Muntasir Murshed is an academic researcher from North South University. The author has contributed to research in topics: Biology & Renewable energy. The author has an hindex of 24, co-authored 84 publications receiving 1340 citations. Previous affiliations of Muntasir Murshed include Bangladesh Institute of Development Studies & Centre for Policy Dialogue.

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Modelling the dynamic linkages between eco-innovation, urbanization, economic growth and ecological footprints for G7 countries: Does financial globalization matter?

TL;DR: In this paper, the effects of financial globalization, urbanization, eco-innovation, and economic growth on the ecological footprints of the G7 countries using annual frequency data spanning from 1980 to 2016, several latest econometric methods, that are robust to handling cross-sectionally dependent panel datasets, are employed to ascertain the environmental impacts of these variables.
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An empirical analysis of the non-linear impacts of ICT-trade openness on renewable energy transition, energy efficiency, clean cooking fuel access and environmental sustainability in South Asia

TL;DR: The results from the econometric analyses reveal that ICT trade directly increases renewable energy consumption, enhances renewable energy shares, reduces intensity of energy use, facilitates adoption of cleaner cooking fuels, and reduces carbon-dioxide emissions.
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Determinants of carbon emissions in Argentina: The roles of renewable energy consumption and globalization

TL;DR: In this article, the authors evaluate the dynamic effects of globalization, renewable energy consumption, non-renewable energy consumption and economic growth on carbon-dioxide emission levels in Argentina over the 1970-2018 period.
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Determinants of carbon emission in China: How good is green investment?

TL;DR: In this article, the role of green investments and other macroeconomic aggregates in reducing carbon emissions in 30 provinces in China from 1995 to 2017 was analyzed using robust econometric tools efficient in handling cross-sectional dependency and slope heterogeneity issues.