The Environmental Kuznets Curve Revisited: A Spatial Panel Model with Heterogeneous Coefficients

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.

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Publication Details

Journal
Energy Economics
Published
2025-02-01
DOI
https://doi.org/10.1016/j.eneco.2025.108237
Citations
15
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
46.97
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article

The Environmental Kuznets Curve Revisited: A Spatial Panel Model with Heterogeneous Coefficients

Shaibu Mellon Bedi, Pierre Schneiter
15 citations
Energy Economics
Spatial and Panel Data Analysis
46.97
article

The Environmental Kuznets Curve Revisited: A Spatial Panel Model with Heterogeneous Coefficients

Shaibu Mellon Bedi, Pierre Schneiter
article en
15 citations

Abstract

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.

Energy EconomicsVol. 143
Swedish University of Agricultural Sciences (SE)
Climate action
Openalex Percentile: Top 0%
Spatial and Panel Data Analysis
46.97
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