Abstract
While Alexandria has experienced fast social and economic growth, major environmental challenges have arisen. Moreover, the cultural, socioeconomic, and natural assets of Alexandria city fluctuate; hence, the elements accounting for these ecological difficulties vary geographically. In terms of geographical heterogeneity, this study examined the spatial variance in ecological footprint (EF) development and its affecting variables in Alexandria from 2012 to 2022. Population size, affluence level, and technology level are chosen as independent variables in a regression model comparison. Furthermore, regression results are compared between the Geographically Weighted Regression (GWR) and Ordinary Least Square (OLS) models, and it is discovered that the GWR model outperforms the OLS model in terms of regression goodness of fit, variance comparisons, and residual spatial auto-correlation. According to GWR findings, population number and affluence level are the primary driving forces of EF development, however technological innovation has the potential to successfully restrict EF expansion. Meanwhile, because they vary geographically and temporally, local coefficients exhibit spatial distribution features, such as partial coefficients assuming spatial gradient and spatial agglomeration. Finally, the study makes some recommendations from the population, economy, and technology for Alexandria to formulate differentiated environmental policies based on the characteristics of EF spatial distribution as well as the temporal and spatial differences analysis of its influential factors.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ECOLOGICAL FOOTPRINT, AFFLUENCE LEVEL, URBANIZATION LEVEL, SOCIO-ECONOMIC, INFLUENCING FACTORS
