The impact of technological innovations on the environmental Kuznets curve: evidence from EU-27
Yükleniyor...
Dosyalar
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The EKC hypothesis expresses the inverted U-shaped relationship between per capita income and environmental quality. In the literature, the role of technological innovations and income inequality on pollution is a relatively recent discussion in the studies testing the EKC hypothesis. The aim of this paper is to investigate the impact of technological innovations, income inequality, exports, urbanization, and growth on CO2 emissions in EU-27. In addition, while investigating this relationship, exports and urbanization are also considered and panel vector autoregression (PVAR) analysis is applied for the 2005-2019 period. According to the coefficient estimation results, while income inequality, exports, and urbanization increase pollution, technological innovations contribute to environmental quality. Also, the results demonstrated that the EKC hypothesis is invalid in these countries and there is a U-shaped relationship between growth and emissions. The causality test results revealed the presence of unidirectional causality running from all explanatory variables to CO2 emissions. Moreover, impulse-response graphs demonstrated that the reply of emissions to the shocks in the explanatory variables is similar to the long-run coefficient results. In conclusion, all available empirical evidence for this relationship highlights that income inequality and technological innovations should be considered in policy-making processes to ensure environmental quality in EU-27 countries.
Açıklama
Anahtar Kelimeler
EKC, EU, Income inequality, Innovations
Kaynak
Environmental Science and Pollution Research
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Ercan, H., Savranlar, B., Polat, M.A. et al. The impact of technological innovations on the environmental Kuznets curve: evidence from EU-27. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-32303-3
