Pablo Samaniego Ponce

TL;DR: In this paper , a panel quantile regression is used to examine the heterogeneity of the distribution among various CO2 quantiles, and the results show that energy poverty should be reduced as a priority in developing countries in order to achieve SDG7 and reduce CO2 emissions.

TL;DR: In this paper , the causal link between economic growth and capital formation, the labour force, renewable energy and renewable energy, the technological innovation at a global level and in groups of countries classified according to their level of income, developed and developing countries.

TL;DR: In this paper , a set of macroeconomic determinants of waste recovery in the Organization of Economic Co-operation and Development countries, covering data from 1995 to 2019, were explored, and the Method of Moments Quantile Regression was applied to analyze the long-term equilibrium relationship of waste-to-resource recovery with environmental technology, renewable energy consumption, economic growth, globalization, and industrialization.

TL;DR: In this paper , the authors examined how a set of economic factors determine the energy consumption in Organization for Economic Cooperation and Development countries, for which second-generation econometric methods have been used that control cross-sectional dependence issues.

TL;DR: In this paper , the authors evaluated the role of Industry 4.0 during the COVID-19 pandemic in China and found that the digital skills of workers, their financing, and the efficiency of Government policies have a high probability of occurrence in the adoption of the circular economy in 2030.