Renewable energy and greenhouse gas emissions from the waste sectors of European Union member states: a panel data analysis

2017 ◽  
Vol 24 (23) ◽  
pp. 18770-18781 ◽  
Author(s):  
Hélde Araujo Domingos ◽  
Alexandre Magno De Melo Faria ◽  
José Alberto Fuinhas ◽  
António Cardoso Marques
Keyword(s):  
European Union ◽  
Renewable Energy ◽  
Data Analysis ◽  
Panel Data ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Union Member ◽  
Panel Data Analysis ◽  
Gas Emissions ◽  
European Union Member States

scholarly journals Environmental Assessment of European Union Countries

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 295 ◽  
Author(s):  
Jin-chi Hsieh ◽  
Ching-cheng Lu ◽  
Ying Li ◽  
Yung-ho Chiu ◽  
Ya-sue Xu
Keyword(s):  
European Union ◽  
Renewable Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Environmental Efficiency ◽  
Gas Emissions ◽  
Dea Model ◽  
Eu Countries ◽  
Carry Over ◽  
The Eu

This study utilizes the dynamic data envelopment analysis (DEA) model by considering time to measure the energy environmental efficiency of 28 countries in the European Union (EU) during the period 2006–2013. There are three kinds of variables: input, output, and carry-over. The inputs are labor, capital, and energy consumption (EC). The undesirable outputs are greenhouse gas emissions (GHE) and sulfur oxide (SOx) emissions, and the desirable output variable is gross domestic product (GDP). The carry-over variable is gross capital formation (GCF). The empirical results show that first the dynamic DEA model can measure environment efficiency and provide optimum improvement for inefficient countries, as more than half of the EU countries should improve their environmental efficiency. Second, the average overall scores of the EU countries point out that the better period of performance is from 2009 to 2012. Third, the output variables of GHE, SOx, and GDP exhibit a significant impact on environmental efficiency. Finally, the average value of others is significantly better than high renewable energy utilization (HRE) with the Wilcoxon test. Thus, the EU’s strategy for environmental energy improvement should be to pay attention to the benefits of renewable energy (RE) utilization, reducing greenhouse gas emissions (GHE), and enhancing the development of RE utilization to help achieve the goal of lower GHE.

scholarly journals The influence of climate change on the life insurance in the EU: A panel data approach

2021 ◽  
Vol 307 ◽  
pp. 07001
Author(s):  
Oleksandr Melnychenko ◽  
Tetyana Kalna-Dubinyuk ◽  
Olha Vovchak ◽  
Tetiana Girchenko
Keyword(s):  
Climate Change ◽  
European Union ◽  
Panel Data ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Life Insurance ◽  
Insurance Market ◽  
The European Union ◽  
Gas Emissions ◽  
The Impact

The financial sector, as one of the most sensitive economic sectors, is alert to all trends and changes in the environment. The aim of the article is to study the impact of climate change on the life insurance market using panel data from 28 countries of the European Union (EU) for the last 9 years. This study is based on a panel model, where the amount of premiums under life insurance contracts is defined as a function of the fundamental factor of climate change - greenhouse gas emissions. According to empirical findings, an increase in greenhouse gas emissions per thousand tons leads to an increase in the amount of life insurance premiums by 0.1786 million euros. It has also been found that an increase in greenhouse gas emissions per thousand tons leads to an increase in deaths in the European Union by 1.0442 people, and these consequences are statistically significant. In general, our results suggest that the life insurance market as well as the non-life insurance market is dependent on climate change. The empirical results of this study provide valuable insight into how greenhouse gas emissions affect mortality in the European Union.

A panel data analysis of policy effectiveness for renewable energy expansion on Caribbean islands

Energy Policy ◽  
2021 ◽  
Vol 155 ◽  
pp. 112340
Author(s):  
Jessica Kersey ◽  
Philipp Blechinger ◽  
Rebekah Shirley
Keyword(s):  
Renewable Energy ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Policy Effectiveness ◽  
Caribbean Islands ◽  
Energy Expansion
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