Spatial Econometric Analysis of the Ecological Footprint of European Countries

This study explains the effects of various economic factors on the ecological footprint of 34 European countries in 2022 using spatial econometric techniques. Unlike previous studies on the ecological footprint, this study presents more comprehensive results by including spatial effects in the model using spatial econometric techniques for 34 countries for 2022. This study analyzes the lagged effects of per capita GDP growth, trade openness, and renewable energy use on the ecological footprint. The spatial Durbin Model was confirmed as the most appropriate through diagnostic tests and selection criteria. The results show that per capita GDP growth, trade openness, and renewable energy usage positively and significantly affect the ecological footprint. Additionally, the spatially lagged per capita GDP growth rate has a negative impact on the ecological footprint, while the spatially lagged trade openness has a positive impact, both of which are statistically significant. These findings underscore the importance of considering the environmental impacts of economic policies to achieve sustainable development. Furthermore, the identification of spatial effects in the spread of ecological footprints highlights the need to address environmental issues not only at the national level but also in relation to neighbouring countries.