scholarly journals Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5898
Author(s):  
Magdalena Ziolo ◽  
Sandra Jednak ◽  
Gordana Savić ◽  
Dragana Kragulj
Keyword(s):  
Energy Efficiency ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Financial Development ◽  
Oecd Countries ◽  
Data Envelopment ◽  
Gas Emissions ◽  
Slight Upward Trend ◽  
Using Data ◽  
Emission Of Greenhouse Gases

The growing risk of climate change caused by the emission of greenhouse gases poses new challenges to contemporary countries. The development of economies is usually related to increasing levels of greenhouse gas emissions. Therefore, the question arises whether it is possible to achieve sustainable economic and financial development and simultaneously reduce greenhouse gas emissions. This paper assumes it is possible if energy efficiency is increased. The aim of the paper is to show the link between energy efficiency and sustainable economic and financial development in Organisation for Economic Co-operation and Development (OECD) countries for the period 2000–2018 by using data envelopment analysis (DEA) and regression analysis. The results show a slight upward trend of total factor energy efficiency (TFEE) in OECD countries for the analysed period; however, there is a difference in TFEE levels. Developed OECD countries have higher TFEE levels than developing OECD countries. The links between total factor energy efficiency and sustainable economic and financial development reveal different impacts depending on the variables taken into consideration.

scholarly journals Optimization of energy consumption and analysis of the emission of greenhouse gases in the production of rice (Case study: Mazandaran province of Iran)

2020 ◽  
Author(s):  
Adel Vahedi ◽  
Zahra Yousefi ◽  
Ahmad Sharifi Malvajerdi
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Consumption Pattern ◽  
Data Envelopment ◽  
Mazandaran Province ◽  
Gas Emissions ◽  
Energy Inputs ◽  
Total Energies ◽  
Using Data

Abstract The present study has been conducted to investigate the energy consumption pattern, the economic analysis of production and assessing the greenhouse gas emissions (GHG) resulting from the production of rice in the Mazandaran province. The input and output energies were calculated and energy indices were determined. The efficiency of the rice farms and the optimization of energy consumption were estimated by using data envelopment analysis (DEA) method and the amount of greenhouse gas emissions was determined after improving the consumption of inputs. Results showed, the total energies of consumed inputs and outputs for the production of paddy were calculated to be 91061.5 and 100967.95 MJ ha-1, respectively. The energy input of diesel fuel, machinery and chemical fertilizers were determined to be 41.27%, 19.63% and 19.58% of the total energy inputs, representing the most highly consumed energy inputs in the production of paddy.

Applying data envelopment analysis to evaluation of energy efficiency and decreasing of greenhouse gas emissions of fattening farms

Energy ◽  
2017 ◽  
Vol 120 ◽  
pp. 652-662 ◽  
Author(s):  
Homa Hosseinzadeh-Bandbafha ◽  
Dariush Safarzadeh ◽  
Ebrahim Ahmadi ◽  
Ashkan Nabavi-Pelesaraei ◽  
Ehssan Hosseinzadeh-Bandbafha
Keyword(s):  
Energy Efficiency ◽  
Data Envelopment Analysis ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Data Envelopment ◽  
Gas Emissions

scholarly journals Optimization of Energy Consumption and Analysis of the Emission of Greenhouse Gases in the Production of Rice (Case Study of Mazandaran Province)”

2020 ◽  
Author(s):  
adel Vahedi ◽  
zahra yousefi
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Consumption Pattern ◽  
Data Envelopment ◽  
Mazandaran Province ◽  
Gas Emissions ◽  
Energy Inputs ◽  
Total Energies ◽  
Using Data

Abstract The present study has been done with the aim of investigating the energy consumption pattern, the economic analysis of production and assessing the greenhouse gas emissions (GHG) resulting from the production of rice in the Mazandaran province. The input and output energies were calculated and energy indices were determined. The efficiency of the rice farms and the optimization of energy consumption were estimated by using Data Envelopment Analysis (DEA) method and the amount of greenhouse gas emissions was determined after improving the consumption of inputs. According to the results, the total energies of consumed inputs and outputs for the production of paddy were calculated to be 91,061.5 and 100,967.95 MJ ha-1, respectively. The energy input of diesel fuel, machinery and chemical fertilizers were determined to be 41.27%, 19.63% and 19.58% out of the total energy inputs, representing the most highly consumed energy inputs in the production of paddy.

scholarly journals Potential Impact of Meat Replacers on Nutrient Quality and Greenhouse Gas Emissions of Diets in Four European Countries

2020 ◽  
Vol 12 (17) ◽  
pp. 6838
Author(s):  
Elly Mertens ◽  
Sander Biesbroek ◽  
Marcela Dofková ◽  
Lorenza Mistura ◽  
Laura D’Addezio ◽  
...  
Keyword(s):  
Food Intake ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Similarity Index ◽  
Dietary Guidelines ◽  
Gas Emissions ◽  
Nutrient Quality ◽  
Dietary Preferences ◽  
Current Consumption ◽  
Using Data

Meat replacers could play a role in achieving more plant-based diets, but their current consumption is limited. The present modelling study aimed to explore the nutritional and greenhouse gas emissions impacts of meat replacers. Using dietary surveys from Denmark, Czech Republic, Italy and France (~6500 adults), we composed alternative diets in which all the meat in the observed diet (in grams) was substituted by similar use meat replacers (with and without fortification). Starting from the observed diets and meat-replacement diets, diets with improved adherence to food-based dietary guidelines (FBDGs) were modelled using Data Envelopment Analysis. These improved diets were then further optimised for dietary preferences (MaxP, diet similarity index), nutrient quality (MaxH, Nutrient Rich Diet score, NRD15.3) or diet-related greenhouse gas emissions (GHGE) (MaxS, CO2 equivalents). In all optimised modelled diets, the total amount of meat was lower than in the observed diets, i.e., 30% lower in the MaxP, 50% lower in the MaxH, and 75% lower in the MaxS diets. In the MaxP diet, NRD15.3 was ~6% higher, GHGE was ~9% lower, and ~83% of food intake remained similar. In the MaxH diet, NRD15.3 was ~17% higher, GHGE was ~15% lower, and ~66% of food intake remained similar. In the MaxS diet, NRD15.3 was ~9% higher, GHGE was ~33% lower, and ~65% of food intake remained similar. When using fortified meat replacers, for all modelled diets, the diet similarity was on average 2% lower and the GHGE reduction was on average 3% higher as compared with the same scenarios without fortification. This analysis showed that meat replacers, provided their preference is similar to meat, can provide benefits for GHGE, without necessarily compromising nutrient quality.

scholarly journals Smart Solutions for Sustainable Cities—The Re-Coding Experience for Harnessing the Potential of Urban Rooftops

2020 ◽  
Vol 10 (20) ◽  
pp. 7112
Author(s):  
Valeria Todeschi ◽  
Guglielmina Mutani ◽  
Lucia Baima ◽  
Marianna Nigra ◽  
Matteo Robiglio
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Geographical Information Systems ◽  
Urban Landscape ◽  
Geographical Information ◽  
Renewable Energy Resources ◽  
Gas Emissions ◽  
The City

Urban rooftops are a potential source of water, energy, and food that contribute to make cities more resilient and sustainable. The use of smart technologies such as solar panels or cool roofs helps to reach energy and climate targets. This work presents a flexible methodology based on the use of geographical information systems that allow evaluating the potential use of roofs in a densely built-up context, estimating the roof areas that can be renovated or used to produce renewable energy. The methodology was applied to the case study of the city of Turin in Italy, a 3D roof model was designed, some scenarios were investigated, and priorities of interventions were established, taking into account the conditions of the urban landscape. The applicability of smart solutions was conducted as a support to the review of the Building Annex Energy Code of Turin, within the project ‘Re-Coding’, which aimed to update the current building code of the city. In addition, environmental, economic, and social impacts were assessed to identify the more effective energy efficiency measures. In the Turin context, using an insulated green roof, there was energy saving in consumption for heating up to 88 kWh/m2/year and for cooling of 10 kWh/m2/year, with a reduction in greenhouse gas emissions of 193 tCO2eq/MWh/year and 14 tCO2eq/MWh/year, respectively. This approach could be a significant support in the identification and promotion of energy efficiency solutions to exploit also renewable energy resources with low greenhouse gas emissions.

Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production

Energy ◽  
2016 ◽  
Vol 103 ◽  
pp. 672-678 ◽  
Author(s):  
Ashkan Nabavi-Pelesaraei ◽  
Homa Hosseinzadeh-Bandbafha ◽  
Peyman Qasemi-Kordkheili ◽  
Hamed Kouchaki-Penchah ◽  
Farshid Riahi-Dorcheh
Keyword(s):  
Energy Efficiency ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Optimization Techniques ◽  
Gas Emissions ◽  
Wheat Production
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