Analysis of Factors Influencing Waste Generation in East Java
DOI:
https://doi.org/10.34123/jurnalasks.v18i1.909Keywords:
East Java, Geographically Weighted Regression, SDGs Point 12, Spatial Heterogeneity, Waste GenerationAbstract
Introduction/Main Objectives: Waste accumulation poses a serious threat to environmental sustainability and hinders the achievement of Sustainable Development Goal (SDG) 12 regarding responsible consumption and production patterns. Background Problems: East Java consistently ranks second highest in waste generation among Indonesian provinces; this paper investigates the demographic, economic, and environmental determinants of waste generation, specifically addressing the research question of how these factors vary across regencies. Novelty: This study extends previous waste generation studies by applying Geographically Weighted Regression (GWR) to the East Java context, initially considering demographic, economic, and environmental variables, and identifying spatial variations in the significant determinants of waste generation. Research Methods: Secondary data from 35 regencies/cities in 2023 were analyzed using GWR with a Bisquare Fixed kernel, which was selected as the optimal weighting function compared to Fixed kernels and OLS. Finding/Results: Surabaya City recorded the highest waste generation, while the GWR model achieved a goodness-of-fit of 92.72%, higher than the multiple linear regression model. The results confirm that the influence of waste generation determinants is not uniform across regions, indicating significant spatial heterogeneity in East Java.
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