Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

This survey uses a number of recent developments in the analysis of cointegrating Vector
Autoregressions (VARs) to examine their links to the older structural modelling traditions …

This study aims to measure the relationship between technological progress, renewable
energy, and green economic growth (GEG). This study uses a data envelopment analysis …

Institutional quality, financial development, and natural resources primarily determine how
economic representatives support their operational and production behaviors towards …

Despite all the scientific and technological developments in the past one hundred years,
biologic issues such as pandemics are a constant threat to society. While one of the aspects …

This trusted textbook returns in its 4th edition with even more exercises to help consolidate
understanding-and a companion website featuring additional materials, including a …

Minerals are critical in manufacturing and handling renewable energy technologies,
including solar photovoltaics (PV), wind turbines, electric vehicles (EVs), and power storage …

Written for those who need an introduction, Applied Time Series Analysis reviews
applications of the popular econometric analysis technique across disciplines. Carefully …

This study investigated the impact of industrial activity and energy structure on
environmental pollution from the demand and supply side with the panel data source from …

Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …