Energy and environmental efficiency of OECD countries in the context of the circular economy: Common weight analysis for malmquist productivity index

Mavi, Neda Kiani; Mavi, Reza Kiani

doi:10.1016/j.jenvman.2019.06.069

Cited by 131 publications

(60 citation statements)

References 80 publications

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“…The landfill product has two parts; one is landfill gas [44] that can be used as fuel, and the other is leachate [45], which is recycled to the leachate plant for reproduction. The more common model is as (10) and (11) shows.…”

Section: Unique Energy Equipmentmentioning

confidence: 99%

“…In (10), V WL tgas , m, k, and T stand for the biogas production rate in year t, the amount of annual waste landfill, the attenuation coefficient, and total operating years of the landfill. W is the amount of wet garbage in landfill.…”

Section: Unique Energy Equipmentmentioning

confidence: 99%

“…The integration and collaboration of different energies in an integrated energy system can effectively improve the utilization of energy [9][10][11][12][13][14][15]. A generalized multi-energy system refers to a large-scale system composed of the development, conversion, transportation, scheduling, and other manipulations of a variety of energies, including coal [16], natural gas [17], water [18], wind [19], solar energy [20], and other forms of energy [21].…”

Section: Introductionmentioning

confidence: 99%

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Planning of the Multi-Energy Circular System Coupled with Waste Processing Base: A Case from China

Zhang

Chen

Gu³

et al. 2019

Energies

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With the accelerated development of urbanization, waste disposal has become a tough problem. If waste cannot be disposed properly, it will lead to environment pollution and waste of resources. Since the energy utilization of the Waste Processing Base (WPB) has not been considered thoroughly, optimal planning of the Multi-Energy Circular System (MECS) coupled with the WPB is studied in this paper. Based on a typical WPB, this paper adds Power to Gas (P2G) and energy storage equipment, and applies a bi-level optimization model to optimize energy utilization. The minimum of total annual cost is the objective of the upper model, whose decision variables are the capacity of each equipment. The minimum annual operating cost is the lower model’s objective whose decision variables are the control parameters of certain energy equipment. Finally, a practical WPB is used for the demonstration and simulation of the proposed planning scheme. The analysis of the simulation results indicates that the collaborative optimization of the MECS coupled with WPB is effective, and improves the benefits of energy, economy, and environment enormously.

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Section: Unique Energy Equipmentmentioning

confidence: 99%

Section: Unique Energy Equipmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Planning of the Multi-Energy Circular System Coupled with Waste Processing Base: A Case from China

Zhang

Chen

Gu³

et al. 2019

Energies

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“…Sustainable and closed economy concepts are also being promoted. They aim to reduce the emission of harmful substances and focus on a more complete and rational use of resources, including energy [15,16]. The concept of sustainable energy is also gaining importance.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources

2020

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The European Union (EU) countries, as one of the most economically developed regions in the world, are taking increasingly decisive actions to reduce the emission of harmful substances into the natural environment. This can be exemplified by a new climate strategy referred to as “The European Green Deal”. Its basic assumption is that the EU countries will have achieved climate neutrality by 2050. To do so, it is necessary to make an energy transition involving the widest possible use of renewable energy sources (RES) for energy production. However, activities in this area should be preceded by analyses due to the large diversity of the EU countries in terms of economic development, the number of inhabitants and their wealth as well as geographical location and area. The results of such analyses should support the implementation of adopted strategies. In order to assess the current state of the energy sector in the EU and indicate future directions of activities, research was carried out to analyze the structure and volume of energy production from RES in the EU countries. The aim of the study was to divide the EU countries into similar groups by the structure and volume of energy production from RES. This production was compared with the number of inhabitants of each EU country, its area and the value of Gross Domestic Product (GDP). This approach allows a new and broader view of the structure of energy production from RES and creates an opportunity to take into account additional factors when developing and implementing new climate strategies. The k-means algorithm was used for the analysis. The presented analyses and obtained results constitute a new approach to studying the diversified energy market in the EU. The results should be used for the development of a common energy and climate policy and economic integration of the EU countries.

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“…Unlike traditional efficiency metrics of the economy, LCEGE measures the economic efficiency of a country or region in the light of resource input and environmental cost. This concept bears resemblances with green total factor productivity (TFP) [2], sustainable TFP [3], and energy environmental efficiency [4]. In essence, LCEGE characterizes the transition from resource-intensive economic gain to sustainable economic gain [5], or how green economic activities promote benefits in economy and environment, as well as sustainability [6].…”

Section: Introductionmentioning

confidence: 99%

Empirical Analysis on How Financial Development Influences Low-Carbon Economic Gain Efficiency Considering the Panel Data of Yangtze River Economic Corridor

Ding¹,

Xia²

2020

IJSDP

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This paper establishes an evaluation metric system (EMS) for low-carbon economic gain efficiency (LCEGE) containing the carbon sink element, and measures the LCEGEs in the 11 provincial administrative regions in the Yangtze River Economic Corridor (YREC) of 2000-2017 with the directional distance function (DDF) model. Furthermore, the Tobit model was selected for the empirical analysis on the influence of financial development on LCEGE. The results show that: the provinces in YREC had certain disparities in LCEGE. Most provinces achieved desirable LCEGEs, but a few provinces failed to do so. The LCEGE in the lower part changed little in the target period, while that in the middle part and upper part varied in two phases. Besides, there are obvious differences in the mean LCEGE between the lower part, middle part, and upper part. In the target period, the three parts of the YREC can be ranked as lower part, middle part, and upper part by LCEGE. The results of Tobit model reveal that the LCEGE in the YREC can be greatly promoted by financial scale, and clearly suppressed by financial structure. Among the control variables, foreign direct investment significantly promotes LCEGE; technical innovation, and energy structure significantly suppresses LCEGE; industrial structure and environmental regulation have an insignificant influence on LCEGE.

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Energy and environmental efficiency of OECD countries in the context of the circular economy: Common weight analysis for malmquist productivity index

Cited by 131 publications

References 80 publications

Planning of the Multi-Energy Circular System Coupled with Waste Processing Base: A Case from China

Planning of the Multi-Energy Circular System Coupled with Waste Processing Base: A Case from China

Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources

Empirical Analysis on How Financial Development Influences Low-Carbon Economic Gain Efficiency Considering the Panel Data of Yangtze River Economic Corridor

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