Exploring the Nexus between Greenhouse Emissions, Environmental Degradation and Green Energy in Europe: A Critique of the Environmental Kuznets Curve

Alexandra Horobet, Lucian Belascu, Magdalena Radulescu, Daniel Balsalobre-Lorente (), Cosmin-Alin Botoroga and Cristina-Carmencita Negreanu
Additional contact information
Alexandra Horobet: Department of International Business and Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Lucian Belascu: Department of Management, Marketing and Business Administration, “Lucian Blaga” University of Sibiu, 550324 Sibiu, Romania
Magdalena Radulescu: Department of Finance, Accounting and Economics, Pitesti University Center, National University of Science and Technology Politehnica Bucharest, 110040 Pitesti, Romania
Daniel Balsalobre-Lorente: UNEC Research Methods Application Center, Azerbaijan State University of Economics (UNEC), Istiqlaliyyat Str. 6, Baku 1001, Azerbaijan
Cosmin-Alin Botoroga: Department of International Business and Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Cristina-Carmencita Negreanu: Department of International Business and Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania

Energies, 2024, vol. 17, issue 20, 1-29

Abstract: This study examines the intricate relationship between economic growth and European environmental degradation via the Environmental Kuznets Curve (EKC). Our results contest the traditional inverted U-shape model of the Environmental Kuznets Curve, indicating that the theory may not be consistently applicable across European countries. Utilizing CS-ARDL and MMQR modelling, we reveal substantial regional disparities. Western European nations demonstrate a typical Environmental Kuznets Curve (EKC) pattern in the short term, characterized by an initial increase in emissions alongside GDP development, followed by a subsequent fall. Conversely, Eastern and Balkan nations exhibit a U-shaped connection, described by an early decline in emissions followed by a subsequent increase as their development levels increase. The influence of renewable energy differs, as it decreases emissions in the short term in Western Europe. However, its long-term impacts are variable, especially when contrasted with its more pronounced effect on emissions in Eastern and Balkan countries. Furthermore, trade openness intensifies environmental degradation in the short-term across all regions, although its long-term impact diminishes, particularly concerning greenhouse gases (GHG). The relationship between renewable energy and trade openness is substantial for the short-term reduction of carbon dioxide emissions, but this effect declines with time. The results indicate that a uniform environmental policy throughout Europe may lack efficacy. Customized strategies to expedite the transition in Western Europe and more specific interventions in Eastern Europe are essential to harmonize economic progress with environmental sustainability. Future research should examine the determinants of the diminishing long-term effects of renewable energy and the interplay between trade and environmental policies.

Keywords: greenhouse gas emissions; environmental degradation; Kuznets Curve; green energy; alternative energy; economic development (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/20/5109/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/20/5109/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:20:p:5109-:d:1498685

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().