Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach

Despite the fundamental role of human-induced forces in global environment having changed, knowledge about specific factors that cause these impacts is limited and uncertainties remain. In this respect, ecological footprint emerges as a concept used to emphasize both apparent unsustainability current practices inequalities resource consumption among countries. The provides method for measuring how much land can support natural resources precise measure human impact on world. recent years, sustainable development biological capacity debate has mainly revolved around affecting approaches improving environmental quality. Therefore, it important determine which affect footprint. For aim, cross-section analysis was carried out with quantile regression approach applied within framework STIRPAT model structure 154 countries were allocated according their income levels 2016, taking into account data. According findings, coefficients welfare financial index are positive statistically significant. It been concluded population decreases amount per person, thus, increasing total addition, determined density service sector negatively affects