scholarly journals Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries

2021 ◽  
Vol 13 (24) ◽  
pp. 13611
Author(s):  
José Alberto Fuinhas ◽  
Matheus Koengkan ◽  
Nuno Carlos Leitão ◽  
Chinazaekpere Nwani ◽  
Gizem Uzuner ◽  
...  
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Electric Vehicles ◽  
Ordinary Least Squares ◽  
Gas Emissions ◽  
Battery Electric Vehicles ◽  
The Eu

This analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region.

Cointegration between Economic, Ecological and Tourism Development

2021 ◽  
Vol 12 (23) ◽  
pp. 169-180
Author(s):  
Tetyana Pimonenko ◽  
Oleksii Lyulyov ◽  
Yana Us
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Tourism Development ◽  
Panel Cointegration ◽  
Ecological Indicators ◽  
Ordinary Least Squares ◽  
Gas Emissions ◽  
The Eu

The well-developed countries have more options to attract tourists and generate profit from the tourism development. At the same time, the high volume of CO2 emissions, ecological risks, polluted nature restrict the tourism development in the country. The reorientation of global development to green growth provokes transformations in all policies of the country’s development. It allows green countries to attract more tourists. In this case, the paper aims to analyze the relationships between economic growth, ecological indicators, and tourism development. Ukraine has chosen the EU vector of development. In this case, it is necessary to identify the targets for synchronizing the Ukrainian policies (economic, ecological, social, tourism, etc.) with the EU.  The objects of the investigation were Ukraine and Visegrad countries for 2000-2020 years. The panel data was generated from World Data Bank, Eurostat, European Environmental Agency, and Ukrstat. The dependent variable – GDP (as an indicator of economic growth), independent – greenhouse gas emissions and share of renewable energy in the total energy consumption (ecological indicators), the volume of tourists (indicators of tourism development). At the first stage, the study used bibliometric analysis to identify publication activities’ general tendency on the analyzed issues. The following methods were applied to check the hypothesis on cointegration between variables: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares and dynamic ordinary least squares panel cointegration techniques. The findings confirmed the relationships between economic, ecological, and tourism development. Thus, the decline of greenhouse gas emissions leads to increasing tourists, and as a consequence, it provokes GDP growth.

scholarly journals Connecting Blue Economy and Economic Growth to Climate Change: Evidence from European Union Countries

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4600
Author(s):  
Roxana Maria Bădîrcea ◽  
Alina Georgiana Manta ◽  
Nicoleta Mihaela Florea ◽  
Silvia Puiu ◽  
Liviu Florin Manta ◽  
...  
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Gas Emissions ◽  
Cointegration Tests ◽  
Blue Economy

Blue Economy represents a new and interesting concept on a global level, both from the economic potential but also by the fact that it can be used to reduce environmental degradation. The main goal of this research is to identify the causality relations between the greenhouse gas emissions, the Blue Economy and economic growth based on a panel of annual data from the 28 countries that are members of the European Union (EU) over the 2009–2018 period. After applying stationarity and cointegration tests, the long term cointegration coefficients shall be determined with the help of the fully modified ordinary least squares (FMOLS) estimator. Granger causality estimation based on the vector error correction model (VECM) was applied to identify the causality relationship between the variables and to detect the direction of causality. Based on the identified causality relations, the Blue Economy has a significant influence on greenhouse gas emissions in the long run. Unidirectional causality relations were identified from the economic growth of greenhouse gas emissions in the long term, as well as from the greenhouse gas emissions on economic growth in the short term.

Analysing Nexus between Economic Growth, GHG Emissions, and Energy Consumption for India

2021 ◽  
Vol 17 (1) ◽  
pp. 1-16
Author(s):  
Asim Hasan ◽  
Rahil Akhtar Usmani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Emissions ◽  
Series Data ◽  
Gas Emissions ◽  
Current Time ◽  
Causal Influence ◽  
Integration Test

Rising greenhouse gas emissions is an important issue of the current time. India’s massive greenhouse gas emissions is ranked third globally. The escalating energy demand in the country has opened the gateway for further increase in emissions. Recent studies suggest strong nexus between energy consumption, economic growth, and carbon emissions. This study has the objective to empirically test the aforementioned interdependencies. The co-integration test and multivariate vector error correction model (VECM) are used for the analysis and the Granger Causality test is used to establish the direction of causality. The time-series data for the period of 1971–2011 is used for the analysis. The results of the study confirm strong co-integration between variables. The causality results show that economic growth exerts a causal influence on carbon emissions, energy consumption exerts a causal influence on economic growth, and carbon emissions exert a causal influence on economic growth. Based on the results, the study suggests a policy that focuses on energy conservation and gradual replacement of fossil fuels with renewable energy sources, which would be beneficial for the environment and the society.

scholarly journals ENERGY CONSUMPTION, ECONOMIC GROWTH AND GREENHOUSE GAS EMISSIONS IN THE EUROPEAN UNION COUNTRIES

2017 ◽  
Vol 18 (6) ◽  
pp. 1082-1097 ◽  
Author(s):  
Giedrė LAPINSKIENĖ ◽  
Kęstutis PELECKIS ◽  
Neringa SLAVINSKAITĖ
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Climate Change Policy ◽  
Positive Sign ◽  
The European Union ◽  
Gas Emissions ◽  
Consumption Energy ◽  
Energy Taxes

This paper investigates the relationship between economic growth, greenhouse gas emissions and other factors based on the panel data of 22 countries of the EU in the period 1995–2014. The fixed effect panel model was used as a framework for the analysis. The novel contribution of this paper is that the factors of economic growth, energy consumption, energy taxes as well as R&D were tested in one expanded EKC model, including the data of three Baltic States. The regression coefficients referring to GDP, Energy consumption have a positive sign, while R&D and Energy taxes have a negative sign. The empirical analysis combines two steps of evaluation of panel models of different groups of countries. The results imply that the analysed factors (energy consumption, energy taxes as well as R&D) can be applied to adjust the EKC trend in the region and might be useful for the climate change policy adjustment.

RETRACTED: Causal links between greenhouse gas emissions, economic growth and energy consumption in Pakistan: A fatal disorder of society

2013 ◽  
Vol 25 ◽  
pp. 166-176 ◽  
Author(s):  
Muhammad Azhar Khan ◽  
Muhammad Zahir Khan ◽  
Khalid Zaman ◽  
Muhammad Mushtaq Khan ◽  
Hina Zahoor
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions

scholarly journals THE SHARE OF AGRICULTURE IN GREENHOUSE GAS EMISSIONS IN EUROPEAN UNION COUNTRIES – VALUATION

2018 ◽  
Author(s):  
Konrad PRANDECKI ◽  
Edyta GAJOS
Keyword(s):  
European Union ◽  
Greenhouse Gases ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
International Comparisons ◽  
Modern World ◽  
The European Union ◽  
Gas Emissions ◽  
Greenhouse Gases Emissions ◽  
The Eu

Reducing greenhouse gases emissions is one of the major environmental challenges of the modern world. The European Union (EU) has set itself ambitious reduction targets. Proper monitoring of emissions and its valuation is necessary to achieve this goal. In addition, valuation (in monetary terms) will help to raise awareness of the climate change costs among society. The aim of this article is to present international comparisons within the EU covering the monitoring and valuation of aggregate emissions of selected greenhouse gases in general and in agriculture. The study uses Eurostat data for the years 2007-2015. The evaluation was based on the average annual price of carbon dioxide allowances under the European Union Emissions Trading System. Leipzig stock market data were used to determine the price. The study compares the total greenhouse gas emissions and its value in different EU countries. These results show that the largest emitters in the EU are Germany, United Kingdom, France. A comparison of per capita and per GDP emissions results in an almost reversal of this order. The share of agriculture in greenhouse gas emissions was 11% in 2015 and ranged between countries from 3% (Malta) do 32% (Ireland). The results show also that the decline in value is greater than the decrease in emissions. This is due to the dramatic change in the price of allowances. The decrease in quantity of agricultural emission was 0,5%, whilst the decrease in value was 55,5% between years 2008 and 2015.

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