The Casual Nexus between Income and Energy Poverty in EU Member States

This paper investigates the presence of a causal relationship between energy poverty and income poverty in the EU Member States through a Panel Vector Autoregressive specification, and controlled with a set of explanatory variables collected from the Eurostat energy database and the OECD environment...

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Bibliographic Details
Main Authors: Carfora, A. (Author), Passaro, R. (Author), Scandurra, G. (Author), Thomas, A. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
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008 220510s2022 CNT 000 0 und d
020 |a 19961073 (ISSN) 
245 1 0 |a The Casual Nexus between Income and Energy Poverty in EU Member States 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/en15082822 
520 3 |a This paper investigates the presence of a causal relationship between energy poverty and income poverty in the EU Member States through a Panel Vector Autoregressive specification, and controlled with a set of explanatory variables collected from the Eurostat energy database and the OECD environment database for 2007–2018. Deepening the nexus between energy poverty and income poverty is a relevant issue for tailoring policies to tackle poverty and improve the well‐being of citizens, supporting the policy makers in the allocation of planned funds provided by the Recovery plan, “Next Generation EU”. The results of the panel VAR model estimation and Dumitrescu and Hurlin test suggest that there will be no change in the long‐run equilibrium when income poverty remains constant. Moreover, the reduction in energy poverty is expected to have a positive effect in terms of overall economic poverty reduction. Finally, there is evidence that substituting fossil fuels with renewables helps to reduce energy poverty and widespread poverty due to the leverage effect on economic development as well as to support the achievement of some of the 17 Sustainable Development Goals addressed by United Nations. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Auto-regressive 
650 0 4 |a Causal relationships 
650 0 4 |a Causality test 
650 0 4 |a Economic and social effects 
650 0 4 |a Energy poverties 
650 0 4 |a energy poverty 
650 0 4 |a EU member state 
650 0 4 |a EU member states 
650 0 4 |a Fossil fuels 
650 0 4 |a GMM estimator 
650 0 4 |a GMM estimators 
650 0 4 |a income poverty 
650 0 4 |a Income poverty 
650 0 4 |a Panel causality 
650 0 4 |a panel causality test 
650 0 4 |a Panel causality test 
650 0 4 |a PVAR model 
650 0 4 |a Sustainable development 
700 1 |a Carfora, A.  |e author 
700 1 |a Passaro, R.  |e author 
700 1 |a Scandurra, G.  |e author 
700 1 |a Thomas, A.  |e author 
773 |t Energies