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• W4296039309 endingPage "70590" @default.
• W4296039309 startingPage "70573" @default.
• W4296039309 abstract "The need for a cleaner environment and wealthier economies has been highly recognized by European Union (EU) policymakers of the last years, as evidenced by the creation of a plethora of laws and regulations for reducing carbon dioxide emissions while promoting the economic prosperity of EU countries. Indeed, many works have been done in this field, remarking on climate change's impacts on economies and the need for determinant environmental policies inside the EU. This paper investigates the effect of climate change on economic growth using nonlinear dynamic panel methods for 15 countries of the EU in the period 1981-2019. Specifically, it is examined the impact of temperature, precipitation, and CO2 emissions on economic growth. So, autoregressive distributed lags (ARDL) methods were employed, overcoming cross-dependency and also considering linearity and nonlinearity. The results showed that economic growth has positive nonlinear relationship with long-run temperature, but in short-run they have a symmetric negative association. Moreover, precipitation has long-run negative and a short-run positive relationship with economic growth. However, when CO2 emissions are added, then model's performance is decreased, and precipitation has a positive effect on economic growth, but all others, except from temperature increase, become insignificant. Finally, actions should be taken for more stable climate conditions and consistent environmental policies by EU countries." @default.
• W4296039309 created "2022-09-17" @default.
• W4296039309 creator A5018968883 @default.
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• W4296039309 date "2022-09-16" @default.
• W4296039309 modified "2023-10-18" @default.
• W4296039309 title "Climate change: north and south EU economies—an application of dynamic asymmetric panel data models" @default.
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• W4296039309 doi "https://doi.org/10.1007/s11356-022-22907-y" @default.
• W4296039309 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36112287" @default.
• W4296039309 hasPublicationYear "2022" @default.
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