A Time-Varying Analysis of Pollution Spillovers Among EU Countries: Evidence from a TVP-VAR Connectedness Approach
Öz
This study explores the spillover effects of carbon emissions among the 16 EU countries from 1980Q1 to 2023Q3, employing the TVP-VAR connectedness methodology. Spillovers are calculated based on the time-varying forecast error variance decompositions of CO₂ emissions for each country. As CO₂ emissions for all countries are integrated of order one, first differences are employed in the analysis. The findings reveal a high level of connectedness among EU countries, with values ranging from 68% to 92% and a Total Connectedness Index of 75.45. Regarding net connectedness, Germany and the UK emerge as the main CO₂ transmitters, with net values of 15.26 and 15.15, respectively, while Greece and Bulgaria are the main receivers, with net values of −30.34 and −14.85. This high connectedness underscores the importance of collaborative efforts among EU countries in developing policies to mitigate environmental degradation. The findings also indicate a positive correlation between economic activity and pollution, with higher-income countries tending to contribute more to pollution spillover. Our results further suggest that EU member states should endeavour to increase the use of renewable energy sources while phasing out nonrenewable ones, in accordance with the overarching objective of environmental protection.
Anahtar Kelimeler
Kaynakça
- Abdo, A.-B., Li, B., Zhang, X., Lu, J., & Rasheed, A. (2020). Influence of FDI on environmental pollution in selected Arab countries: a spatial econometric analysis perspective. Environmental Science and Pollution Research, 27, 28222-28246. [https://doi.org/10.1007/s11356-020-08810-4](https://doi.org/10.1007/s11356-020-08810-4). google scholar
- Akhundjanov, S., & Muñoz-García, F. (2019). Transboundary Natural Resources, Externalities, and Firm Preferences for Regulation. Environmental and Resource Economics, 7, 333–352 [https://doi.org/10.1007/s10640-018-0265-5](https://doi.org/10.1007/s10640-018-0265-5). google scholar
- Akram, V. (2022). Spillover effect of greenhouse gas emissions across five major continents. Environmental Science and Pollution Research, 29, 11634-11643. [https://doi.org/10.1007/s11356-021-16535-1](https://doi.org/10.1007/s11356-021-16535-1). google scholar
- Al-Silefanee, R. R., Mamkhezri, J., Khezri, M., Karimi, M. S., & Khan, Y. A. (2022). Effect of Islamic financial development on carbon emissions: A spatial econometric analysis. Frontiers in Environmental Science, 10, 1-13. [https://doi.org/10.3389/fenvs.2022.850273](https://doi.org/10.3389/fenvs.2022.850273). google scholar
- Alola A. A., & Bekun F. V. (2021). Pandemic outbreaks (COVID-19) and sectoral carbon emissions in the United States: A spillover effect evidence from Diebold and Yilmaz index. Energy & Environment, 32 (5), 945-955. [https://doi.org/10.1177/0958305X20977275](https://doi.org/10.1177/0958305X20977275). google scholar
- Anscombe, F. J., & Glynn W. J. (1983). Distribution of the kurtosis statistic b2 for normal samples. Biometrika, 70 (1), 227-234. google scholar
- Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13 (84). [https://doi.org/10.3390/jrfm13040084](https://doi.org/10.3390/jrfm13040084). google scholar
- Balsalobre-Lorente, D., Ibáñez-Luzón, L., Usman, M., & Shahbaz, M. (2022). The environmental Kuznets curve, based on the economic complexity, and the pollution haven hypothesis in PIIGS countries. Renewable Energy, 185, 1441-1455. [https://doi.org/10.1016/j.renene.2021.10.059](https://doi.org/10.1016/j.renene.2021.10.059). google scholar
Ayrıntılar
Birincil Dil
İngilizce
Konular
Makro İktisat (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
19 Şubat 2026
Gönderilme Tarihi
22 Mayıs 2025
Kabul Tarihi
22 Ocak 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 13 Sayı: 1