1731. Assessing the Environmental Kuznets Curve through Spatial Econometric Analysis
Invited abstract in session TB-46: Tackling Energy Problems with ML and Scarce Data, stream Energy Economics & Management.
Tuesday, 10:30-12:00Room: Newlyn 1.07
Authors (first author is the speaker)
| 1. | Michaela Chocholatá
|
| Faculty of Economic Informatics, Department of Operations Research and Econometrics, University of Economics in Bratislava |
Abstract
Despite ambitious global sustainability goals, environmental degradation remains a pressing challenge, particularly in rapidly developing regions. The Environmental Kuznets Curve (EKC) hypothesis suggests an inverted U-shaped relationship between economic growth and environmental degradation. However, traditional EKC models often overlook spatial dependencies and interregional spillovers. Using European regional data, this paper examines local spatial patterns by testing for general spatial trends in the distribution of the variables analysed at the regional level. The analysis confirms that the spatial interactions of the regions under consideration are an important factor influencing the level of environmental degradation. Spatial autoregressive (SAR) models were estimated and spatial spillovers were calculated. Our results highlight the need for spatially coordinated policies and interregional cooperation to ensure sustainable development beyond the conventional EKC paradigm. This paper was supported by the Grant Agency of Slovak Republic – VEGA 1/0047/23 “The importance of spatial spillover effects in the context of the EU's greener and carbon-free Europe priority”.
Keywords
- Economic Modeling
- Environmental Management
- Sustainable Development
Status: accepted
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