Publications by authors named "Muhammad Yousaf Raza"

Article Synopsis
  • - China led the world in renewable energy installation with a capacity of 1020 gigawatts in 2021, prompting a study on how public discourse shapes perceptions of green energy and development strategies.
  • - The research utilizes public discourse analysis and the Grey Prediction Model to explore differing views on renewable energy initiatives (REIs) and their economic and environmental impacts.
  • - Findings indicate that China's energy policies effectively foster advancements in wind and solar power, with significant expected increases over the next decade, while also improving financing and subsidy processes for renewable technologies.
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Studying and analyzing energy consumption and structural changes in Pakistan's major economic sectors is crucial for developing targeted strategies to improve energy efficiency, support sustainable economic growth, and enhance energy security. The logarithmic mean Divisia index (LMDI) method is applied to find the factors' effects that change sector-wise energy consumption from 1990 to 2019. The results show that: (1) the change in mixed energy and sectorial income shows a negative influence, while energy intensity (EI) and population have an increasing trend over the study period.

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Fossil fuels will still dominate energy in twenty years despite green power rising. The aim of the study is to analyze the factor substitution, emission mitigation, and technological progress among energy and non-energy inputs in Pakistan. The trans-log production method is employed to analyze the viability of energy substitution and then measure the CO emission reduction possibility that comes from such adoption.

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Carbon dioxide emissions (COes) are presently a hot topic of worldwide concern. It is of great significance for lessening COes to wholly understand the transformation pattern of COes among countries, industries, and the main factors (i.e.

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This study attempts to explore the bond between Pakistani exports, gross capital formation, energy use and carbon dioxide emission. It uses the data from Pakistan spanning over a longer time horizon of 40 years ranging from 1981 to 2020. The results of ARDL analysis show that Pakistani exports have inverse relationship with CO emission in both short as well as long run and the carbon emission reverts to equilibrium at the speed of 54.

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The transport sector is a key engine of Bangladesh's quick oil demand growth. It accounted for 64.4% of overall Bangladesh oil consumption in 2019 and is, therefore, a third contributor to CO emissions and related pollutants.

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Many studies have computed the carbon dioxide emissions (COEs) associated with energy consumption, overall population, imports, manufacturing industries, and financial development in various countries. However, past studies have ignored the impact of COEs on fossil fuel energy, domestic economy, rural-urban unemployment, rural-urban population, services value-added, and fiscal deficit, especially in the context of Pakistan. Thus, to avoid the problems of mis-specification, sustainable growth, and carbon reduction simultaneously, it is necessary to study how to accomplish the time-varying relationship between factors.

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Several studies have quantified the carbon dioxide (CO emissions associated with energy consumption, agriculture value added, food crop production, forest covered area, and forest production in various countries. However, past studies have ignored the long-term and short-term effects of these factors on CO. This study used data from 1980 to 2018 and applied the autoregressive distributed lag model (ARDL) technique to test long-run and short-run effects of these factors on CO emission in the Pakistani context.

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This study aims to examine the impact of public-private partnerships (PPP) investment in energy, technological innovations (TI), economic growth (EG), exports, and foreign direct investment (FDI) on CO emissions in Brazil over the period from 1984 to 2018. In doing so, we employ the Ng-Perron unit root test to examine the stationarity and autoregressive lag distributed (ARDL) model for cointegration between CO emissions and its determinants. The outcomes are as follows: first, in the long run, the PPP investment in energy deteriorates the environmental quality by increasing CO emissions, while TI has a significant negative effect on CO emissions.

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The transport sector has become one of the major economic, huge fossil fuel energy consumption, and carbon dioxide (CO) emitting sector of Pakistan. This study applies the logarithmic mean Divisia index (LMDI) and Tapio's decoupling approach to estimate decoupling state and mitigation potential of CO emissions from the transport sector during 1984-2018. LMDI technique is applied to detect the influencing variables (i.

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This study examines the effect of financial development (FD) and foreign direct investment (FDI) on the environmental quality for the panel of 90 belt and road countries from 1990 to 2017. This study advances the knowledge of financial development by using the new comprehensive index, which is based on access, depth, and efficiency of financial markets and financial institutions and incorporated foreign direct investment as an important determinant of environmental quality. By applying the Driscoll-Kraay standard error pooled ordinary least square method, the empirical findings reveal that FD deteriorates the environmental quality by increasing the CO emissions, while FDI improves environmental quality and the relationship between economic growth (EG) and CO emissions is inverted U-shaped, i.

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