Frontiers in Environmental Science · 2022 · 189 citations · 47 references
Social SciencesEconomicsEnvironmental PolicyEconometricsEconomic DevelopmentEnvironmental EconomicsClimate ChangeCointegration AnalysisEuropean Environmental PolicyTime Series EconometricsClimate Vulnerability AssessmentDynamic Ordinary Least SquaresEconomic Growth DynamicsEconomy-wide Emissions ModelingGreenhouse Gas Emissions AnalysisOrdinary Least SquaresPanel Unit Root TestsUnit Root Testing
This paper explores the dynamics of the relationship between economic growth and CO 2 emissions in the 27 EU member states in a panel setting for the period 2000–2017. We use qualitative sequential methodology, involving empiric analysis that provides coherence and viability for our study, but also quantitative methods, including Dynamic Ordinary Least Squares (DOLS), unit root tests and cointegration techniques. The results suggest the existence of a long run cointegrating relationship between growth and CO 2 emissions in EU countries and the DOLS method indicates a statistically significant effect of economic growth on CO 2 emissions for both versions of estimators, revealing that on average, a 1% change in GDP leads to 0.072 change in CO 2 emissions. The study also exhibits that higher income levels lead to increased demand for environmental protection and underline the need for designing environmental policies, capable to reduce emissions during periods of economic growth. Moreover, we find that the status of economic growth does not automatically diminish climate vulnerability in EU countries, only the correct type of growth does, thus being necessary that EU policymakers be aware of the energy cost pressure and to achieve economic growth in relationship with appropriate tools in terms of climate risk management.
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Testing for unit roots in heterogeneous panels
Kyung So Im, M. Hashem Pesaran, Yongcheol Shin · Journal of Econometrics · 2003 · 15K citations · Full text
General Diagnostic Tests for Cross Section Dependence in Panels
M. Hashem Pesaran · SSRN Electronic Journal · 2004 · 8.2K citations · Full text