Two-stage DEA model to evaluate technical efficiency on deployment of battery electric vehicles in the EU countries

2020 ◽  
Vol 86 ◽  
pp. 102489 ◽  
Author(s):  
Sónia Almeida Neves ◽  
António Cardoso Marques ◽  
Vitor Moutinho
Keyword(s):  
Technical Efficiency ◽  
Electric Vehicles ◽  
Two Stage ◽  
Dea Model ◽  
Eu Countries ◽  
Battery Electric Vehicles ◽  
The Eu

scholarly journals Macro Study of Global Electric Vehicle Expansion

2021 ◽  
Vol 15 (1) ◽  
pp. 67-73
Author(s):  
Thakur Dhakal ◽  
◽  
Kyoung-Soon Min ◽  
Keyword(s):  
European Union ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Bass Model ◽  
The European Union ◽  
Sales Data ◽  
Battery Electric Vehicles ◽  
The World ◽  
Charging Stations ◽  
The Eu

This study analyzes the diffusion of battery electric vehicles (BEV) in the world and evaluates the vehicle charging stations based on the European Union (EU) scenario. Initially, the global BEV sales data from 2005 to 2018 are fitted with the two most frequently used econometric logistics and Bass diffusion models. Further, the study identifies the different stage adopters, forecasts the consumption of BEVs, and examines the velocity and acceleration of BEV diffusion. Finally, future charging stations are examined to meet the BEV sales demand. Results suggest that the adoption of BEVs demonstrates a better fit on the Bass model where the global BEV market is estimated to grow from 5,3 millions in 2019 to near 40 millions units by 2030, and with the reference of the EU countries’ adoption scenario, the global charging stations will be increased from near 2 millions in 2019 to near 10 millions units by 2030.

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.

scholarly journals A Two-Stage DEA Model to Evaluate the Technical Eco-Efficiency Indicator in the EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 3038
Author(s):  
Victor Moutinho ◽  
Mara Madaleno
Keyword(s):  
Ghg Emissions ◽  
Atmospheric Pollutants ◽  
Data Envelopment ◽  
Two Stage ◽  
The Sustainable Development ◽  
Eu Countries ◽  
Second Stage ◽  
Development Goals ◽  
Stage Analysis ◽  
The Eu

This paper evaluates the evolution of eco-efficiency for the 27 European Union (EU) countries over the period 2008–2018, provided the traditional high concerns of the EU concerning the economic growth-environmental performance relationship. The EU has triggered several initiatives and regulations regarding environmental protection over the years, but as well the Sustainable Development Goals demand it. Under this setting, we conduct a two-stage analysis, which computes eco-efficiency scores in the first stage for each of the pairs EU 27-year, through the nonparametric method data envelopment analysis (DEA), considering the ratio GDP per capita and greenhouse gas emissions (GHG). In the second stage, scores are used as a dependent variable in the proposed fractional regression model (FRM), whose determinants considered were eight pollutants (three greenhouse gases and five atmospheric pollutants). CO2/area and N2O/area effects are negative and significant, improving the eco-efficiency of the EU 27 countries. When the efficient European countries are excluded from the estimations, the results evidence that CO2/area and CH4/area decrease the DEA score. The country with the lowest GHG emissions and pollutant gases was Ireland, being the country within the considered period that mostly reduced emissions, particularly SOx and PM10, increasing its score.

scholarly journals Economic and Environmental Aspects of Agriculture in the EU Countries

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7826
Author(s):  
Joanna Domagała
Keyword(s):  
The Netherlands ◽  
Agricultural Sector ◽  
Greenhouse Gas Emission ◽  
Environmental Aspects ◽  
Member States ◽  
Dea Model ◽  
Eu Countries ◽  
Emission Efficiency ◽  
European Environmental Agency ◽  
The Eu

The analysis of the economic efficiency of agriculture has been the subject of numerous studies. An economically efficient agricultural sector is not always environmentally efficient. Agriculture is a large emitter of greenhouse gases. The Intergovernmental Panel on Climate Change states that food production and agriculture are responsible for 21–37% of total global CO2 emissions. Due to the comprehensive assessment of the agricultural efficiency, it is worthwhile to apply to its measurement an integrated approach based on economic, energy and environmental aspects. These aspects were the main reasons for undertaking this research. The purpose of the study was to determine the economic, energy and environmental efficiency of agriculture in the EU Member States in 2019. The environmental analyses relate to the period 1990–2019. A total of 26 member states of the European Union (excluding Malta and Luxembourg) were selected for research. The sources of materials were Eurostat and the European Environmental Agency. This study was based on the Data Envelopment Analysis method, and used the DEA model focused on minimizing inputs. The research also adopts energy productivity and greenhouse gas emission efficiency indicators. The DEA model features the following variables: one effect (value of agricultural production) and four inputs (land, labour, use of fertilizers and use of energy). It was found that seven out of the 26 studied EU countries have efficient agriculture. The efficient agriculture group included the Netherlands, Denmark, Greece, Cyprus, the United Kingdom, Italy and Ireland. Based on the DEA method, benchmarks have been defined for countries with inefficient agriculture. On the basis of these benchmarks for inefficient agricultural sectors, it was possible to determine how they could improve efficiency to achieve the same results with fewer inputs. This issue is particularly important in the context of sustainable agricultural development. In the next stage of the research, the analysis of economic and energy efficiency was combined with the analysis of GHG emission efficiency in agriculture. Four groups of countries have been distinguished: eco-efficiency leaders, eco-efficiency followers, environmental slackers, eco-efficiency laggards. The leaders of the classification were the Netherlands, Italy, Greece, Cyprus and Portugal.

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.

Forming an effective financial and investment environment in the eu countries-experience for Ukraine

2019 ◽  
pp. 4-13
Author(s):  
Ryzhyuk Yevgeny
Keyword(s):  
Banking System ◽  
Executive Branch ◽  
Investment Environment ◽  
Financial Investment ◽  
Eu Countries ◽  
Currency Exchange ◽  
Clearing System ◽  
Financial Infrastructure ◽  
Supranational Level ◽  
The Eu

The subject of the research is a set of institutional institutions and organizational and managerial relations that effectively regulate the financial and investment environment in the EU countries, comparing them with Ukrainian realities.The goal of writing this article is to develop practical and scientific-methodicalrecommendations on how to increase the efficiency of using financial and investment potential based on the experience of EU countries. The methodology of thework-system-structural and comparative studies (to understand the logic of thefunctioning of institutions that form the investment environment and the mechanisms of their interaction); monographic analysis (in studying the problems ofattracting investors); historical and economic analysis (in assessing the state andprospects of the European, as well as the Ukrainian economy). Results of work -it is revealed that modern European regulators are aimed at forming a holisticinvestment and financial infrastructure and investment platform at the supranational level. It was proposed to carry out further liberalization of currency regulation in Ukraine in order to transform it into a convenient and efficient electronicautomated currency exchange system and introduce the integration of the domestic depository system into the international depositary clearing system Clearstream.It was noted that the financial and investment environment in Ukraine is blockedand domestic monopolies are interested in this, thanks to lobbying in the Verkhovna Rada of Ukraine and in the executive branch they have distorted financial,investment and currency legislation for their interests and needs. Conclusions-thepresence of a holistic investment and financial infrastructure in the EU countriesis due to the gradual convergence and unification of legislation at the nationallevel to the supranational level. In addition, it is reasonably high investment positions of Ireland in the world and it was proposed to use this experience to createa favorable financial and investment environment in Ukraine. Note that the formation of the financial and investment environment in Ukraine according to European standards is hampered by: oligarchic monopolies, which parasitizes mainly onnatural monopolies; government corruption; confusing and incomprehensible legislation for investors; high tax rates and tax administration system; instability ofthe banking system, the risks of hryvnia devaluation; the insecurity of landagrarian relations; as well as armed conflict in the east of Ukraine.

The Service Sector in the Economy in Poland and European Union Countries

2015 ◽  
Vol 10 (3) ◽  
pp. 191-207
Author(s):  
Walentyna Kwiatkowska
Keyword(s):  
Service Sector ◽  
Value Added ◽  
Total Employment ◽  
Eu Countries ◽  
Gross Value Added ◽  
European Union Countries ◽  
Service Sectors ◽  
Sector Theory ◽  
The Eu

The role of the service sector in the economy is increasing in the process of socio-economic development. This tendency has been confirmed and explained by the three-sector theory formulated by A.G.B. Fisher, C. Clark, and J. Fourastie. The main goal of the paper is to show development tendencies in service sectors in Poland and the EU countries and assess them in view of the three-sector theory. The share of the service sector in the total employment and in the total gross value added in the years 2005-2013/2014 will be analysed together with two sub-sectors including market and non-market services. The research shows that the share of the service sector in total employment and total gross value added has been recently increasing in Poland as well as in other EU countries, but there is a gap in this process between Poland and the most developed EU countries. Moreover, in Poland, the role of market services has been recently increasing much faster than the role of non-market services. 

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