Publications by authors named "Masoud Shirazi"

In the framework of an environmental Kuznets curve, the linkage between shadow economy and carbon dioxide (CO) emissions was evaluated for 145 countries from 1991 to 2017. In assessing the effect of the shadow economy on CO emissions, we used panel quantile regression, panel fixed effects, and panel smooth transition regression as estimation methods. In addition, to deal with parameter heterogeneity, we resorted to the procedure of Lin and Ng (2012).

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Attention to environmental sustainability has increased among nations, especially after the Paris Agreement and COP26 of 2021. Considering that fossil fuel consumption is one of the main factors causing environmental degradation, altering the energy consumption patterns of nations toward clean energy can be a suitable solution. For this purpose, this study investigates the impact of energy consumption structure (ECS) on the ecological footprint from 1990 to 2017.

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Sustainable energy systems are sensitive to the countries' energy portfolio decisions, shaping geopolitics and contributing to the global energy security (ES). Accordingly, this paper applies the "Markov regime-switching" method to explore the impact of "the North American shale technology" (NAST) on behavioral regimes of the US energy security measurements (ESM), e.g.

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Dynamic behavioral analysis of carbon dioxide ([Formula: see text]) emissions to moderate the climate change helps to upgrade the developing measures utilized throughout the energy system decarbonization and mitigate global warming. Therefore, this research aims to analyze the role of the shale gas technology in behavioral characteristics of the US energy-related [Formula: see text] emissions. To this end, first, the Markov regime-switching methodology is used to assess the scale- and technology effects of the shale revolution on the switching-regimes for source-/sector-based [Formula: see text] emissions cycles of the US economy.

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In the present study, we consider two independent sensing modes (auditory and visual) in Vicsek-like models and compare the emergent group-level behaviors in terms of polarization, cohesion, and cluster size. The auditory and visual modes differ in the determination of particle neighbors, which at the level of groups results in higher polarization, lower cohesion, and larger cluster size for the auditory mode relative to the visual. With the increase in average density of the particles, these differences are more pronounced.

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