2025/02/01 by Pierre Schneiter, Shaibu Mellon Bedi · 1 voice
Economics, Econometrics and Finance · #Spatial and Panel Data Analysis #Energy, Environment, Economic Growth #Regional Economics and Spatial Analysis
paper · doi:10.1016/j.eneco.2025.108237
openalex publication_date 2025/02/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/09
This paper revisits the Environmental Kuznets Curve (EKC) hypothesis through the lens of spatial econometrics to analyse the relationship between income and emissions of CO, CO 2 , and CH 4 in Swedish municipalities from 2015 to 2021. The study leverages recent developments in spatial econometric methods to relax the homogeneity assumption found in earlier EKC models. The analysis identifies an inverted U-shaped relationship between income and emissions across numerous municipalities: 182 for CO, 128 for CO 2 , and 158 for CH 4 out of 285. The study highlights the importance of spatial econometric models in capturing nuanced income-emissions relationships and spatial spillover effects, often neglected in non-spatial models. Policy implications indicate that economic growth alone may not be enough to lower emissions in all municipalities, highlighting the need for targeted strategies that account for local economic and environmental conditions. • A heterogeneous Spatial Durbin Model (HSDM) is used to examine EKC. • Three air pollution emissions are tested at the local level. • The presence of heterogeneous spatial effects is confirmed. • Pollution control measures could benefit from policies that consider local conditions.