Ranking European countries on the basis of their environmental and circular economy performance: A DEA application in MSW

A breakthrough in macro-scale circularity and eco-efficiency assessment: A case study of OECD countries

Countries' circularity performance and CO2 emissions should be addressed as a part of the UN net-zero Sustainable Development Goals (SDGs) 2030. Macro-scale circularity assessment is regarded as a helpful tool for tracking and adjusting nations' progress toward the sustainable Circular Economy (CE) and SDGs. However, practical frameworks are required to address the shortage of real-world circularity assessments at the macro level. The establishment of CE benchmarks is also essential to enhance circularity in less sustainable nations. Further, monitoring the extent to which nations' circularity activities are sustainable and in line with the SDGs is an area that lacks sufficient practical research. The current research aims to develop a macro-level framework and benchmarks for national sustainable circularity assessments. Methodologically, we develop a dynamic network data envelopment analysis (DN-DEA) framework for multi-period circularity and eco-efficiency assessment of OECD countries. To do so, we incorporate dual-role and bidirectional carryovers in our macro-scale framework. From a managerial perspective, we conduct a novel comparative analysis of the circularity and eco-efficiency of the nations to monitor macro-scale sustainable CE trends. Research results reveal a significant performance disparity in circularity, eco-efficiency, and benchmarking patterns. Accordingly, circularly efficient nations cannot necessarily be considered eco-friendly and sustainable. Although Germany (as a superior circular nation) can be regarded as a circularity benchmark, it cannot serve as an eco-efficiency benchmark for less eco-efficient nations. Hence, the new method allows decision-makers not only to identify the nations' circularity outcome but also to distinguish sustainable nations from less sustainable ones. This, on the one hand, provides policymakers with a multi-faceted sustainability analysis, beyond the previous unidimensional analysis. On the other, it proposes improvement benchmarks for planning and regulating nations' future circularity in line with real sustainability goals. The capabilities of our innovative approach are demonstrated in the case study.

Coupling and coordinated evolution characteristics of regional economy-energy-carbon emission multiple systems: A case study of main China's Basin

Comprehensive analysis of the Economy-Energy-Carbon Emission (EECE) system is beneficial for promoting sustainable social development. This study analyzes the system development of major watersheds in China from 2010 to 2019. The research fully considers the system's internal and external inputs and outputs and proposes an evaluation index system for regional EECE coupling and coordinated development. Then, using the difference in system weight allocation to improve the coupling and coordination model, the study explores the dynamic system's coupling and coordination. The results show that (1) The development of the system structure is relatively stable, but the overall development status is not ideal; (2) The downstream of China's main river basins has obvious economic advantages, while the energy system fluctuates greatly. The efficiency of the carbon emission system will decrease in areas with rapid economic development. The coupling and coordination level of the EECE system is better in the Yangtze River Basin than in the Yellow River Basin; (3) From the perspective of dynamic coordinated development, the main river basins have been divided into two states since 2012, but it is relatively stable overall. Regional dynamic coordination is often at a disadvantage in regions with rapid economic and energy development; (4) The coupling coordination degree of the two river basins has significant positive spatial autocorrelation. Most provinces' significant spatial clustering characteristics of the coupling coordination degree are High-High type. Low-Low type provinces are mainly concentrated downstream. The research process has certain reference significance for the collaborative governance of complex regional systems.

Waste metrics in the framework of circular economy

There are several sustainability issues that the linear economy of today's society cannot adequately tackle (i.e. resource depletion, waste treatment, etc.). As a result, the scientific community and policymakers give high priority to the implementation of the circular economy concept. The sustainable development goals of the United Nations are in line with the European Union's (EU) commitment to a smooth transition to a circular economy. Circular business models require a shift in technical elements involving R strategies to replace traditional business models (i.e. reuse, reduce, recycle, etc.). Monitoring circular economy to provide quantifiable, measurable data is necessary for a successful transition. Monitoring tools (i.e. Key Performance Indicators, quality protocols) enable decision-makers to measure circular economy performance and identify circularity's advantages and disadvantages. To stimulate the adoption of a circularity model addressing critical issues of excessive waste production and resource use, this mini review aims to address the literature gap of waste metrics in the framework of circular economy and offer insights on circular economy indicators to aid for a seamless transition to a more sustainable society. For this purpose, Preferred Reporting Items for Systematic Reviews and Meta-Analysis method was chosen to assess literature. The authors collected and analysed data from 101 records, 70 articles and 31 reports related to the topic under consideration. Through the literature review, it is obvious that moving away from linear production model frequently leads to the development of new internal capabilities along the value chain and, eventually, high efficiency that reduces costs, increasing productivity, encourages brand names, minimizes threats, creates new products and fulfils regulations and green consumer expectations.

Linking circular economy model and green supply chain practices to shape environmental performance: case of Vietnam

The circular economy (SE) is the foremost element for environmental improvement that reduces wastage and enhances production. This aspect requires the focus of new researchers and experienced policymakers. Hence, the current research examines the impact of SE practices such as internal environmental management (IEM), eco-design, and internal recovery on the SE targeted performance, such as environmental performance in Vietnam. The research also investigates the moderating role of environmental-oriented supply chain (SC) practices such as green purchases among IEM, eco-design, internal recovery, and environmental performance in Vietnam. The research collected the data from the respondents using survey questionnaires. The research also investigates the association among variables using smart-PLS. The outcomes revealed that the IEM, eco-design, and internal recovery are positively associated with environmental performance. The outcomes also exposed that the green purchases significantly moderates among IEM, eco-design, internal recovery, and environmental performance. The research guides the regulators in establishing regulations related to achieve the high SE targeted performance, such as environmental performance using circular economy practices such as IEM, eco-design, and internal recovery.

Environmental quality assessment and spatial spillover effects of three urban agglomerations in China: A Meta-EBM approach

The new development form of urban agglomeration has greatly promoted economic and social progress in recent years, but it is also facing severe environmental pollution problems. Understanding the status quo of environmental efficiency in urban agglomerations and its leading driving forces is an important prerequisite for formulating energy conservation and emission reduction policies. This research uses the Meta Epsilon Based Measure (Meta-EBM) model to measure the environmental emission efficiency of the Beijing-Tianjin-Hebei（BTH）, Yangtze River Delta (YRD) and Pearl River Delta (PRD) urban agglomerations in China from 2014 to 2018 so as to improve on the inability of traditional Data Envelopment Analysis (DEA) to combine linear and non-linear characteristics, and employs Moran's I index and spatial econometric methods to analyze their spatial dependence and main driving factors. The results demonstrate that the overall environmental efficiency of the three major urban agglomerations in the five years from 2014 to 2018 presents a wave-like development and then tends to be flat. The itemized efficiency of economic outputs has maintained a relatively high level with the environmental output index exhibiting the best efficiency for industrial wastewater, followed by industrial sulfur dioxide (SO2). The scores of the two indicators for inhalable fine particle emissions (PM2.5) and industrial smoke and dust in each urban agglomeration are not ideal, and there are obvious differences between regions. Among them, YRD and PRD are relatively inferior. From the perspective of spatial spillover effects, various indicators show diverse characteristics at different development stages of the regions. Population and Normalized Difference Vegetation Index (NDVI) have a positive effect on environmental efficiency, while both Gross Domestic Product (GDP) per capita and transportation tend to show greater negative effects on regional environmental optimization. This study proposes countermeasures as follows. Each urban agglomeration should set up measures suitable to local conditions and give full play to their location advantages. They can also use space radiation to promote sector economic development and optimize urban environmental benefits.

Maximizing the potential of leachate from sewage sludge as a sustainable nutrients source to alleviate the fertilizer crisis

Leachate from separate digesters in biological wastewater treatment plants contains valuable biogenic compounds that can serve as fertilizer nutrients. In this study, a method was developed to utilize leachate from sewage sludge dewatering as a raw material for the preparation of a plant conditioner, providing water, nutrients, and growth-stimulating amino acids. A chemical conditioning procedure (65% HNO₃) was used to prepare the leachate solution for fertilization. The feasibility of producing an amino acid-based fertilizer using shrimp shells and inorganic acids (96% H₂SO₄ and 85% H₃PO₄) was also demonstrated. Microbiological analysis confirmed the safety of the formulations, and chelation of micronutrients with available amino acids was proven (up to 100% chelating degree). The bioavailability of all nutrients was confirmed through extraction tests (extraction in neutral ammonium citrate). Germination tests showed similar fresh plant masses to those with commercial preparations, demonstrating the effectiveness of the developed technology. This approach aligns with circular economy principles and sustainable development and contributes to mitigating the impacts of climate change.

Hierarchy performance assessment of industrial solid waste utilization - tracking resource recycling and utilization centers in China

The massive production and accumulation of industrial solid waste (ISW) have led to environmental pollution and natural resource underutilization. China's efforts to build trial industrial waste resource utilization centers provide strong support for sustainable development. However, these centers and the factors driving ISW utilization have yet to be evaluated. This paper utilizes context-dependent data envelopment analysis models without explicit inputs (DEA-WEI) to evaluate the overall utilization performance of 48 industrial waste resource utilization centers in China from 2018 to 2020. It also builds a Tobit model to assess which indicators and waste types affect overall ISW utilization. The results show overall ISW utilization performance of centers in the sample has improved, with the average value falling from 1.7193 in 2018 to 1.5624 in 2020. However, there are clear regional performance gaps, with East China having the highest utilization performance (1.3113) while the Southwest had the lowest (2.2958). Finally, this paper proposes measures to improve the overall utilization of industrial waste resources based on an analysis of the factors driving solid waste utilization.

A multi-criteria approach to assess interconnections among the environmental, economic, and social dimensions of circular economy

The debate about the negative impacts that production and consumption cause on the environment is in vogue. Strategies that point to a sustainable, healthy, and resilient path are being sought. One of these paths is the Circular Economy, which emerges as an alternative to reduce the socio-environmental impacts caused by the linear model of production-use-disposal, presenting opportunities to generate revenue, income, and wealth with circular processes. However, despite the circular economy being considered an essential strategy to improve overall performance toward sustainability in its three dimensions, recent research has shown that the predominant focus of circular approaches is on the economic and environmental dimensions. At the same time, the social aspects still need to be explored. This article addresses this problem, aiming to explore circular economy environmental, economic, and social elements in three economic blocs from 2000 to 2020 using the Five Sector Sustainability Model, establishing a baseline to co-create an equitable and regenerative future. The results showed that ASEAN in 2000 occupied the first position in the general ranking. The European Union had the best classification in the economic sector, and Mercosur was the best regarding social benefits. In 2020, while the European bloc was better positioned in the general ranking, the South American bloc occupied the last post in almost all sectors. Comparatively, the highest-ranked bloc in 2020 in overall sustainability is more in line with the UN SDG due to circular actions oriented towards the three fundamental pillars of sustainability.

Assessment of national circular economy performance using super-efficiency dual data envelopment analysis and Malmquist productivity index: Case study of 27 European countries

The global commitment toward carbon neutrality and net zero emissions has substantially pressed the needs for all countries to accelerate the adoption of the circular economy paradigm. Tracking the national progress in terms of circular economy performance would provide valuable insights that could aid the effective design of improvement strategies toward sustainability. The current research proposes the combination of super-efficiency dual Data Envelopment Analysis and Malmquist productivity index to provide a full ranking and measure productivity changes in terms of circular economy of 27 European countries. The assessment involved six circular economy indicators encompassing waste generation per capita, waste intensity of the economy, recycling rate of waste in both overall and specific types of waste, i.e., packaging waste and biowaste, and circular material use rate. Our study indicates about one-half of the European countries were efficient in terms of circularity in 2018, where Netherlands, Germany, Austria, and Belgium were the front runner. The proposed approach suggests the European countries enhance their overall circular economy performance by prioritizing improvements strategies through promoting the recycling of biowaste and the circular material use rate. The MPI results over 2012-2018 indicate that Luxembourg exhibited the highest circularity advancement by 6%. Overall, the European countries have slightly enhanced their progression towards circular economy around 0.2% improvement. This suggests the European countries strengthen their policy and regulatory frameworks in support of the transition towards circular economy and encourage progressive movements in such a collaborative manner with the relevant stakeholders to build the momentum for change.

Measuring industrial operational efficiency and factor analysis: A dynamic series-parallel recycling DEA model

Countries are now struggling to improve their recycling efficiency of an industrial operational system to achieve the Sustainable Development Goals, yet scant studies have viewed the series-parallel recycling structure of the system based on data envelopment analysis (DEA). This research divides the system into industrial production and industrial waste treatment (IWT) processes connected serially, while the IWT process is further separated into treatment sub-units for wastewater, waste gas, and solid wastes connected in parallel. We propose a dynamic series-parallel recycling DEA model within a directional distance function to measure efficiency and discuss the efficiency relationship among the system, processes, and sub-units. By using the spatial Durbin model, we explore factors that mainly influence the efficiency for the 30 provinces during 2011-2019. The results show the following. (1) The medium performance of the industrial operational system with an average overall recycling efficiency of 0.69 is mainly caused by the poor performance of the IWT process with a score of 0.61. (2) The highest performance is observed in the wastewater treatment sub-unit, followed by waste gas treatment and solid waste treatment sub-units. (3) Market-based environmental regulations significantly promote local IWT efficiency, while command-and-control environmental regulations have no significant effect on local IWT efficiency. But they all have significant spatial spillovers. The voluntary environmental regulations have no significant impact.

The Impact of Artificial Intelligence and Digital Economy on Vietnam's Legal System

Digital transformation incorporates new technology into all elements of business and will require the modification of old business models. Similarly, artificial intelligence (AI) is a relatively new disruptive technology with the potential to impact industry and society substantially. Cognitive techniques imitating human behaviour and thought have resulted in advanced analytical models that assist businesses in increasing sales and improving customer engagement, operational efficiency, and service quality by producing new relevant from existing data. These decision-making models are based on descriptive, predictive, and prescriptive analytics. A legislative framework that oversees all digital development uniformly across countries and facilitates a fully regulated digital transformation process is required. However, this regulatory system must not hinder the digital revolution. This study shows that AI and digital transformation will be integrated into various applications and thus used extensively. Nonetheless, the implementation must be carried out in conformity with both standard regulations and the new realities.

The development of China's Circular Economy: From the perspective of environmental regulation

While achieving rapid economic growth, the pressure caused by environmental pollution and resource depletion has increasingly become a bottleneck in China's economic development, making the development of a circular economy particularly important. The extant literature has not focused on the influence of environmental regulation on a circular economy performance. This study uses the metafrontier global direction distance function (Metafrontier-Global-DDF) super-efficiency data envelopment analysis (DEA) model to estimate the circular economy performance and decomposition values of circular economy growth rate in 286 prefecture-level cities in China from 2003 to 2018. It further tests the influences of environmental regulations on circular economy performance and its influencing mechanism. The results show that environmental regulation can play a linear role in promoting the performance of the circular economy, mainly through the "catch-up effect," while "innovation effect" and "demonstration effect" have not yet played an effective role. This study provides evidence for the performance evaluation of the circular economy in China and the relationship between environmental regulations and circular economy performance. The future development of a circular economy still needs the active development of circular economy technology in each city. The role of the "innovation effect" and "demonstration effect" in improving the performance of the circular economy should be further enhanced.

Evaluating the Transition of the European Union Member States towards a Circular Economy

This paper presents the assessment of the European Union member states in terms of the circular economy (CE) targets, using a combination of the Data Envelopment Analysis (DEA) method and factor analysis. This approach fills in the existing knowledge gap by providing an innovative methodology of an objectivised comparative evaluation of the degree of implementation of the CE principles by the EU countries. Assessing countries’ performance in achieving the goals of the circular economy is a challenge due to the lack of a generally accepted methodology, the multitude of indicators, and the insufficient data. Countries may be compared in a narrow way, according to single indicators, but a more holistic synthetic assessment of countries is also needed to determine their position against each other. In such cases, DEA may be successfully used. The study resulted in the identification of two clusters of countries with similar profiles of relative efficiency in the CE goals’ implementation. It was concluded that the position of a particular country in achieving the CE aims was strongly correlated its GDP per capita. Moreover, factor analysis showed that many CE indicators are strongly correlated with each other and may be aggregated into five meta-indicators (factors): Recycling rate of general waste, Waste production, Jobs and investments, Recycling rate of special waste, and Circular material use rate. In addition to simple rankings and indication of benchmarks, the article offers a novel concept of technology competitors which was used to group units competing for positions in the ranking.

Factors influencing performance in municipal solid waste management - A case study of Czech municipalities

The study presents research focused on factors influencing performance in municipal solid waste management (MSWM) at the level of individual municipalities in the Czech Republic. Czech municipalities possess a specific municipal structure that is characteristic of high fragmentation, in which municipalities spatially resemble conglomerates. In spite of their typically small size, they cling to their own independence and are thus willing to assume full responsibilities in MSWM. In recognition that expenditure on MSWM is the primary concern to municipalities and that there are secondary environmental interests in waste separation, four alternative models of waste management service production are considered for a sample of 470 Czech municipalities that capture performance from different standpoints. Performance in MSWM is assessed by dint of data envelopment analysis (DEA). Full frontiers are employed simultaneously with order-m partial frontiers and resulting unconditional-to-conditional scores are investigated for the influence of twelve contextual factors describing operating conditions of MSWM. The analysis accounts for the fact that in this case the twelve contextual factors are found non-separable from the process underpinning the provision of MSWM. It is revealed that performance in MSWM improves with the availability of recycling consolidation facilities, but programs inciting waste separation or green waste collection do not bring about the anticipated effect. The findings are instrumental in planning of MSWM and equip municipalities with policy advice that is useful in improving performance in MSWM and subsequently in reaching ever stricter environmental targets requested over time at both national and international levels translated to a municipal level.

Sustainable Alternative Routes versus Linear Economy and Resources Degradation in Eastern Romania

This paper reveals the linear economy contribution to resource degradation and environmental pollution in eastern Romania that could further feed environmental crimes and conflicts, such as in the Pungesti shale gas case. Preservation of material and water resources in the region is required through various circular mechanisms under a cross-sectoral approach including solid waste as a material resource for industry and agriculture; wastewater treatment and water reuse; composting and organic agriculture; and using renewables. Six non-conflictual sustainable alternative routes related to circular economy mechanisms, water preservation, and to the clean energy transition are proposed in this paper, which are further examined through key statistics and indicators, current best practices, and local development pathways in both urban and rural communities.

A Critical Review of EU Key Indicators for the Transition to the Circular Economy

The objective of this paper is to analyze the extent to which the system of indicators that is used in the Monitoring Framework for the transition to the circular economy (CE) is efficient and relevant in their contribution to the sustainable development of European communities. The fundaments of the transition framework and the main characteristics of the circularity indicators are presented. A critical review was performed in order to fulfill the objective of analyzing the current indicators. It is concluded that the indicators in the current framework are (as a selection from a very broad range of indicators theoretically proposed and with estimated practical applicability) limited from the perspective of circularity only to waste generation and recycling processes containing recyclable materials, without including important circularity indicators related to the prolonging and extending the life cycle of products and materials. This paper proposes and defines such an indicator, based on the consideration of the fundamental scalars describing economy, mass, energy, time, and value, respectively. The indicator is described and its applicability in all the phases of the economy is estimated.

A hybrid Pythagorean fuzzy AHP - CoCoSo framework to rank the performance outcomes of circular supply chain due to adoption of its enablers

In the last few years, the Circular Supply Chain (CSC) has gained considerable attention among researchers, practitioners, and policymakers. It offers immense opportunities to embrace supply chain operations in three dimensions of sustainability. This study aims to identify and rank the performance outcomes (POs) realized due to CSC enablers (CSCEs) adoption. The study proposes a hybrid framework of the Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy combined compromised solution (PF-CoCoSo) to achieve the objectives of this research. PF-AHP is used to obtain the CSCEs relative weights while PF-CoCoSo is used to ranks the POs concerning the CSCEs. An empirical case study is conducted for an Indian manufacturing organization to demonstrate the proposed framework's applicability. The result reveals that 'global climate pressure and ecological scarcity of resources' is the most significant CSCE to achieve the sustainability in the supply chain, followed by 'government rules, legislations and directives for CSC adoption', 'environment management certifications and systems', whereas, 'reduces waste and promotes green development' is the most critical PO realized due to adoption of CSCEs in CSC implementation process. The proposed framework is a systematic, more comprehensive, accurate, and structured approach to the business organization to improve its POs in a step-wise manner by implementing CSCEs. Sensitivity analysis is performed to check the effectiveness of the proposed framework. This research provides substantial contributions to sustainable development in the society as well as in the industry, and it will help researchers, practitioners, and policymakers working in the domain of CSC.

Clustering of EU Countries by the Level of Circular Economy: An Object-Oriented Approach

In order to effectively regulate the circular economy (CE) at the national and international levels, it is essential to have a unified and informative system of indicators for monitoring the progress in the CE. The lack of standard indicators for measuring the progress of cyclicality leads to contradictions and misunderstandings, which is a problem for the implementation of CE strategies. This paper aims to adapt dynamic clustering approaches to solving strategic management problems of circular production and consumption processes. To achieve this goal, the authors performed the following tasks: (1) tested clustering algorithms by ranking EU countries by the level of development of the circular economy; (2) identified the approach that allows the best classification of EU countries, considering changes in the indicators of the level of CE development in 2000–2019 (dynamic classification); (3) developed a software module using python libraries to classify and visualize the results. The results illustrate that the k-means algorithm has a good discriminatory ability in division of all countries of the training sample (EU countries) into several clusters with different dynamics in the development of the CE. The best quality of classification is obtained by the indicator “Generation of municipal waste per capita”; satisfactory quality of the classification is obtained by the indicator “Generation of waste excluding major mineral wastes per GDP unit”. The study results demonstrate the fundamental applicability of the object-oriented and classical statistical approach to solving strategic management problems of the CE and their potential effectiveness in terms of the clarity and information content of reflecting cyclical processes.

The Cost of Reducing Municipal Unsorted Solid Waste: Evidence from Municipalities in Chile

The management of municipal solid waste sector is crucial for a sustainable circular economy. Waste utilities are expected to provide high quality solid waste services at an affordable price. The efficient management of solid waste requires its assessment from an economic and environmental perspective, i.e., eco-efficiency assessment. Although the reduction of unsorted waste incurs an economic cost, its positive externalities are huge for the well-being of society, the environment, and people. Our study quantifies the marginal cost of reducing any unsorted waste using stochastic frontier analysis techniques which allow us to estimate the eco-efficiency of the waste sector. Our empirical approach focuses on the municipal solid waste collection and recycling services provided by several waste utilities in Chile. The results indicate that substantial eco-inefficiency in the sector exists, since the average eco-efficiency score is roughly 0.5 which means that the municipalities could approximately halve their operational costs and unsorted waste to produce the same level of output. The average marginal cost of reducing unsorted waste is 32.28 Chilean pesos per ton, although notable differences are revealed among the waste utilities evaluated. The results provided by this study are of great interest to stakeholders to promote sustainable management solutions and resource efficient solid waste services.

An integrated approach of PCA and PROMETHEE in spatial assessment of circular economy indicators

In order to ensure environmental sustainability, reducing the consumption of renewable resources, finding adequate substitutes for non-renewable resources, and reducing the generation of waste and pollution are necessities. The concept of circular economy one of the possible and good responses to improve the sustainability of the system, as it places particular emphasis on the reduction, reutilization and recycling of its elements. The paper presents a comparative analysis of the circular economy development in European Union countries based on the dataset encompasses 11 indicators, covering the seven-year period with biennial data. The analysis was performed using the integrated approach of the Principal Component Analysis and PROMETHEE with the aim of creating a composite index as a measure of the development of the circular economy at the national level. The ranking outcomes indicate that during the observed period Germany has the most developed circular economy, followed by the Netherlands, France and Austria. Additionally, the results of the research clearly indicate the positive correlation between the development of circular economies at the national level and the socio-economic development of the country, while progress in the circular economy has no immediate impact on environmental sustainability, but the effects are realized subsequently, with the intensity of the relationship increasing in two-year lag periods.

The Efficiency of Circular Economies: A Comparison of Visegrád Group Countries

Efficiency of circular economies is one of the most important areas of the improvement of economic growth in a circular way, that is, improving worldwide GDP. The issue of circular economies, namely their efficiency, is a current topic of evidence of many literary sources in the literature. This issue is solved in the conditions of the Czech Republic, Poland, Hungary and Slovakia. The goal of the study is to compare the circular efficiency within the Visegrád Group and efficiency of Visegrád Group countries to the European Union 28 average. Data envelopment analysis slack-based models are implemented to evaluate the output efficiencies of the selected subjects. Truncated regression is used to measure the impact of selected indicators on circular efficiency. The Visegrád Group countries are not among the most advanced in terms of recycling and the use of the circular economy, which was confirmed by this research. However, developments suggest significant improvements. The significance of this research lies in several benefits. One of the benefits is the perception of regional differences and the setting of EU cluster policies at the regional level. The idea of changing inputs is very significant since the outputs are oriented to the recycling rates of materials and waste. This research has shown that a higher level of GDP does not necessarily mean a higher level of efficiency of the circular economy.

Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method

Waste disposal technology selection is a key problem in the field of municipal solid waste (MSW). This decision may have long-term impacts on environmental development and economic growth. The literature suggests using multi-criteria decision-making (MCDM) methods to address this problem. MCDM techniques commonly require decision makers to assign weightings of importance to the decision criteria based on which, the available technologies are ranked. However, this technology selection problem is concerned with selecting a technology to be used for a relatively long period of time. It is important to take into consideration any uncertainty the decision maker may have with regard to the weightings of the criteria in the future. To take this uncertainty into consideration, this study suggests utilizing a recently developed MCDM technique, namely the stratified MCDM. This technique is designed to help decision makers structure the uncertain future through the consideration of a set of states, which are placed in different strata. The paper shows how the stratified MCDM technique in combination with the best-worst method (labelled stratified BWM) can be employed to compute the ranking of the available technologies. This research is expected to stimulate future applications of the stratified BWM to facilitate long-term decision making.

Public Administration and Values Oriented to Sustainability: A Systematic Approach to the Literature

Values guide actions and judgements, form the basis of attitudinal and behavioral processes, and have an impact on leaders’ decision-making, contributing to more sustainable performance. Through a bibliometric study and content analysis, 2038 articles were selected from Scopus, from the period 1994–2021, presenting global research tendencies on the subject of values, public administration, and sustainability. The results indicate that Sustainability is the most productive journal, the main research category is in social sciences, the most productive institution is the University of Queensland, the location with the most publications and research collaborations is the USA, and the authors with the greatest number of articles are Chung, from Chung-Ang University; García-Sánchez, from the University of Salamanca; and Pérez, from the University of Cantabria. Analysis of keywords shows that the most relevant are “sustainability”, “CSR”, “sustainable development”, “innovation”, and “leadership”. Time analysis of keywords reveals a tendency for lines of research in the social and work area. The results also provide data about the framing of studies in sustainability pillars and the types of values referred to and indicate the main areas of public administration studied. Finally, a future research agenda is proposed.

Assessment of the Synergy between Recycling and Thermal Treatments in Municipal Solid Waste Management in Europe

In 2018, the production of Municipal Solid Waste (MSW) in EU-28 reached 250.6 Mt, with the adoption of different management strategies, involving recycling (48 wt %), incineration and thermal valorization (29 wt %) and landfilling (23 wt %). This work was based on the analysis of the baseline situation of MSW management in EU-28 in 2018, considering its progress in 2008–2018, and discussed the possible improvement perspectives based on a framework involving incineration and recycling as the only possible alternatives, specifically evaluating the capability of already-existing incineration plants to fulfill the EU needs in the proposed framework. The results of the assessment showed two main crucial issues that could play a pivotal role in the achievement of Circular Economy action plan targets: the need to increase the recycling quotas for specific MSW fractions through the separate collection, and therefore the improvement of definite treatment process chains; the optimization of the recovery of secondary raw materials from incineration bottom ash, involving the recycling of ferrous and nonferrous metals and the mineral fraction. Both issues need to find an extensive application across all member states to decrease the actual differences in the adoption of sustainable MSW management options.

Analysis of resource allocation and environmental performance in China's three major urban agglomerations

This study focuses on the analysis of optimal energy allocation and environmental performance of China's three major urban agglomerations. Specifically, this paper first uses a fixed-input DEA model to obtain the optimal allocation of energy input. Then, an evaluation model based on the optimal allocation of energy input is proposed to evaluate environmental performance. Finally, these models are applied to the empirical analysis of the three major urban agglomerations in China. This article mainly draws the following conclusions. First, energy is wasted in most cities in the Beijing-Tianjin-Hebei region. Second, from 2012 to 2016, the environmental performance of each urban agglomeration showed a downward trend and then an upward trend. Third, the overall environmental performance of the three major urban agglomerations is not high. Some specific regions, such as Handan, Anyang, Xingtai, and Baoding, behave not well in protecting the environment.