scholarly journals The environmental and resource productivity as the key element of green economy in EU

2021 ◽  
Vol 915 (1) ◽  
pp. 012018
Author(s):  
H Niameshchuk ◽  
V Bozhanova ◽  
V Chala ◽  
A Hlushchenko
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Green Economy ◽  
Recycling Rate ◽  
Gas Emissions ◽  
Resource Productivity ◽  
Final Energy ◽  
Final Energy Consumption ◽  
Per Capita

Abstract The purpose of this study was to analyze the indicators of environmental and resource productivity of European countries to identify leaders and outsiders and study their trends over recent decades. The results of the analysis showed that the indicators are characterized by uneven development, due to the characteristics of countries and their green policies. The key indicators of the Europe 2020 policy have been used for the analysis, namely resource productivity, greenhouse gas emissions per capita, recycling rate of municipal waste, eco-innovation index, final energy consumption in households. Linear trends for the period 1995-2019 with indication of trend equations were constructed for each indicator. The slope of the functions has been analyzed in order to identify the dynamics of trends. According to the results of the analysis, all indicators except greenhouse gas emissions per capita were characterized by positive dynamics, ie increased. It has been determined that the problematic indicator for EU countries is final energy consumption in households, which requires further detailed research.

scholarly journals Assessment of Green Investments’ Impact on Sustainable Development: Linking Gross Domestic Product Per Capita, Greenhouse Gas Emissions and Renewable Energy

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3891 ◽  
Author(s):  
Serhiy Lyeonov ◽  
Tetyana Pimonenko ◽  
Yuriy Bilan ◽  
Dalia Štreimikienė ◽  
Grzegorz Mentel
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Greenhouse Gas ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Final Energy ◽  
Final Energy Consumption ◽  
Per Capita ◽  
Green Investments ◽  
The Eu

The paper analyses the linkages between GDP per capita, greenhouse gas (GHG) emissions, and renewable energy (RE) in the total final energy consumption and green investments (PICE) which are measured as private investments, jobs, and gross value added related to circular economy sectors. The object of the analysis is the EU countries during the 2008-2016 period (crisis and post-crisis period). In the paper, data from the following databases was used: the Eurostat, the World Data Bank, and the European Environmental Agency. For addressing the linkages between the aforementioned indicators, the following methods were applied: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) panel cointegration techniques. The findings show that FMOLS and DOLS demonstrate the same results as GHG, PICE, RE influence on GDP of the EU countries. The findings prove there is linking between gross domestic product per capita, greenhouse gas emissions, renewable energy in the total final energy consumption and green investments. The findings also show that green investment (PICE) could provoke the growth of GDP per capita by 6.4%, the decline of GHG by 3.08%, and the increase of renewable energy in the total final energy consumption by 5.6%.

scholarly journals Optimization of energy consumption and its effect on the energy use efficiency and greenhouse gas emissions of wheat production in Turkey

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Muhammad Imran ◽  
Orhan Ozcatalbas
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Energy Use ◽  
Ghg Emissions ◽  
Average Energy ◽  
Green Economy ◽  
Energy Output ◽  
Gas Emissions ◽  
Wheat Production

AbstractThis study aimed to model energy use, energy efficiency, and greenhouse gas emissions in rain-fed wheat production by using a nonparametric data envelopment analysis (DEA) method. Data were collected through face-to-face interviews with 140 wheat farmers in 4 districts of Antalya Province. The energy inputs (independent variables) were human labor, seeds, chemical fertilizers, herbicides, and diesel fuel, and the energy output was the dependent variable. The results showed that the average energy consumption and the output energy for the studied wheat production system were 21. 07GJ ha−1 and 50. 99 GJ ha−1, respectively, and the total GHG emissions were calculated to be 592.12 kg CO2eq ha−1. Chemical fertilizer has the highest share of energy consumption and total GHG emissions. Based on the results from DEA, the technical efficiency of the farmers was found to be 0.81, while pure technical and scale efficiencies were 0.65 and 0.76, respectively. The results also highlighted that there is a potential opportunity to save approximately 14% (2.93 GJ ha−1) of the total energy consumption and consequently a 17% reduction in GHG emissions by following the optimal amounts of energy consumption while keeping the wheat yield constant. Efficient use of energy and reduction in GHG emissions will lead to resource efficiency and sustainable production, which is the main aim of the green economy.

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 Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency

Robotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Florian Stuhlenmiller ◽  
Steffi Weyand ◽  
Jens Jungblut ◽  
Liselotte Schebek ◽  
Debora Clever ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Resource Efficiency ◽  
Life Cycle Costs ◽  
Gas Emissions ◽  
Cycle Times ◽  
The Individual

Modern industry benefits from the automation capabilities and flexibility of robots. Consequently, the performance depends on the individual task, robot and trajectory, while application periods of several years lead to a significant impact of the use phase on the resource efficiency. In this work, simulation models predicting a robot’s energy consumption are extended by an estimation of the reliability, enabling the consideration of maintenance to enhance the assessment of the application’s life cycle costs. Furthermore, a life cycle assessment yields the greenhouse gas emissions for the individual application. Potential benefits of the combination of motion simulation and cost analysis are highlighted by the application to an exemplary system. For the selected application, the consumed energy has a distinct impact on greenhouse gas emissions, while acquisition costs govern life cycle costs. Low cycle times result in reduced costs per workpiece, however, for short cycle times and higher payloads, the probability of required spare parts distinctly increases for two critical robotic joints. Hence, the analysis of energy consumption and reliability, in combination with maintenance, life cycle costing and life cycle assessment, can provide additional information to improve the resource efficiency.

scholarly journals Characteristics of asphalt mixes with FT additive

2012 ◽  
Vol 20 (1) ◽  
pp. 35-40
Author(s):  
S. Štefunková
Keyword(s):  
Energy Consumption ◽  
Low Temperature ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Environmental Effects ◽  
Asphalt Mixture ◽  
Working Environment ◽  
Gas Emissions ◽  
Asphalt Mixes ◽  
Save Energy

Characteristics of asphalt mixes with FT additiveThis article is focused on low-temperature asphalt mixture technologies using FT additive and RAP. The modern production and use of asphalt mixture technologies with reduced temperatures has many advantages. These advantages mainly help to save energy and the environment. Lower temperatures enable a reduction in energy consumption, a more acceptable working environment for workers, a reduction in negative environmental effects, such as greenhouse gas emissions, and an improvement in the workability of mixtures and a prolongation of their duration. This technology is currently becoming popular in many countries.

scholarly journals Energy Consumption and Greenhouse Gas Emissions of Nickel Products

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5664
Author(s):  
Wenjing Wei ◽  
Peter B. Samuelsson ◽  
Anders Tilliander ◽  
Rutger Gyllenram ◽  
Pär G. Jönsson
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Process Model ◽  
Ghg Emissions ◽  
Primary Energy ◽  
Nickel Metal ◽  
Gas Emissions ◽  
Nickel Smelting ◽  
Ore Grade

The primary energy consumption and greenhouse gas emissions from nickel smelting products have been assessed through case studies using a process model based on mass and energy balance. The required primary energy for producing nickel metal, nickel oxide, ferronickel, and nickel pig iron is 174 GJ/t alloy (174 GJ/t contained Ni), 369 GJ/t alloy (485 GJ/t contained Ni), 110 GJ/t alloy (309 GJ/t contained Ni), and 60 GJ/t alloy (598 GJ/t contained Ni), respectively. Furthermore, the associated GHG emissions are 14 tCO2-eq/t alloy (14 tCO2-eq/t contained Ni), 30 t CO2-eq/t alloy (40 t CO2-eq/t contained Ni), 6 t CO2-eq/t alloy (18 t CO2-eq/t contained Ni), and 7 t CO2-eq/t alloy (69 t CO2-eq/t contained Ni). A possible carbon emission reduction can be observed by comparing ore type, ore grade, and electricity source, as well as allocation strategy. The suggested process model overcomes the limitation of a conventional life cycle assessment study which considers the process as a ‘black box’ and allows for an identification of further possibilities to implement sustainable nickel production.

scholarly journals Insights on the impact of telecommunication companies on the environment

2020 ◽  
Vol 14 (1) ◽  
pp. 202-213
Author(s):  
Ioana-Miruna Tătaru ◽  
Elena Fleacă ◽  
Bogdan Fleacă
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Organizational Processes ◽  
Gas Emissions ◽  
Telecommunication Company ◽  
Telecommunication Companies ◽  
The Impact

AbstractTo perform their business operations, telecommunication companies need to consume energy. This paper aims to analyze and compare the energy consumption and their greenhouse gas emissions for there of the biggest telecommunication companies: Vodafone, Orange and Telekom. Although the scientific literature proposed some analysis on the environmental measures that the telecommunication companies have to take, there is a shortage of researchers focused on GRI reporting data and the pairwise comparison method. The authors compared these telecommunication companies’ emissions under the following criteria: energy consumption (GRI 302-1), scope 1 (GRI 305-1), scope 2 (GRI 305-2) and scope 3 (GRI 305-3) greenhouse gas emissions, reduction of emissions (GRI 305-5), using the pairwise comparison method. To reduce their emissions, companies developed a sustainability strategy. This paper will further emphasize what are the plans to reduce emissions for the company which, following the analysis, pollutes the most. To provide an overview of the future of the company which, by the analysis, pollutes the most, the authors have identified and analyzed what are the main actions that the company should take to reduce their impact on the environment. To do so, the authors firstly analyze the causes of the pollution produced by the telecommunication company using Ishikawa diagram. Then, it identifies what are the main organizational processes that can be improved using APQC standardization, to show that the improvement can be made if the organization adjusts their organizational processes. This paper is an enhancement to the studies form the field because it provides a comparative analysis on three of the most competitive telecommunication companies in the world, uses GRI criteria and pairwise comparison method and gives an overview on the next steps for the telecommunication company to reduce their greenhouse gas emissions.

Sign in / Sign up

Export Citation Format

Share Document