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Öğe Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach(Istanbul Univ, 2020) Topdag, Derya; Acar, Tugce; Celik, Ismail ErkanDespite the fundamental role of human-induced forces in global environment having changed, knowledge about the specific factors that cause these impacts is limited and uncertainties remain. In this respect, the ecological footprint emerges as a concept used to emphasize both the apparent unsustainability of current practices and the inequalities in resource consumption among countries. The ecological footprint provides a method for measuring how much land can support the consumption of natural resources and provides a precise measure of human impact on the world. In recent years, sustainable development and biological capacity debate has mainly revolved around factors affecting the ecological footprint and approaches to improving environmental quality. Therefore, it is important to determine which factors affect the global ecological footprint. For this aim, a cross-section analysis was carried out with the quantile regression approach applied within the framework of the STIRPAT model structure for 154 countries that were allocated according to their income levels in 2016, taking into account current data. According to the quantile regression findings, the coefficients of the welfare and financial development index are positive and statistically significant. It has been concluded that the population decreases the amount of ecological footprint per person, thus, increasing the total ecological footprint. In addition, it has been determined that the density of the service sector negatively affects the ecological footprint.Öğe THE NONLINEAR EFFECTS OF HIGH TECHNOLOGY EXPORTS, R&D AND PATENTS ON ECONOMIC GROWTH: A PANEL THRESHOLD APPROACH TO 35 OECD COUNTRIES(Inst Economic Forecasting, 2022) Ersin, Ozgur; Ustabas, Ayfer; Acar, TugceThe paper aims at the investigation of the economic growth and R&D thresholds in addition to the evaluation of nonlinear effects of R&D, patents and high technology product exports on economic growth. Within this respective, a panel consisting of 35 OECD member and other countries is analysed with dynamic panel threshold regressions and bootstrap threshold testing methodologies for the 1992-2016 period. The results reveal significant threshold effects of the economic growth rates closely followed by the threshold effects dominated by the share of R&D in the GDP. The empirical findings have significant contributions: i. the impacts of high technology exports are asymmetric and regime-dependent, in addition, positive in both regimes, ii. R&D expenditures have positive effects not only in the high R&D/GDP but also in relatively low R&D/GDP and growth regimes, iii. the R&D in GDP threshold parameter is estimated as close to 0.7% and is compared to the literature. The overall findings coincide with the endogenous growth literature, but with an interesting distinction regarding the positive impacts even at low R&D regimes. The policy suggestions favor the encouragement of R&D and its positive effects on economic growth even for countries that cannot achieve a theoretical 3% R&D in GDP threshold.