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

Monitoring sustainable waste management in OECD countries: A Malmquist productivity approach

Sustainable waste management (SWM) practices are crucial for tackling environmental concerns under a circular economy (CE) scope. Thirty-one OECD countries have been evaluated on their national SWM performance via Malmquist data envelopment analysis (DEA) methodology from 2000 to 2021. The Malmquist (MPI) and Malmquist-Luenberger (MLPI) productivity indices are compared based on their total factor productivity (TFP) and its elements (i.e., efficiency and technological changes). Both models have the gross domestic product (GDP) as a desirable output, but MLPI also incorporates municipal solid waste (MSW) generation and greenhouse gases (GHGs, i.e. CO2 and CH4) as undesirable outputs. MLPI has a lower average performance (1.74%) than MPI (4.42%), meaning that the incorporation of waste and GHGs has diminished an OECD country's SWM performance by 2.5 times on average. In essence, it is innovation that drives TFP in the selected countries. Overall, the synergistic implementation of SWM practices, Malmquist DEA-based methodology, and CE principles is crucial for advancing sustainable development and achieving a circular and resilient future. The manuscript also offers policy implications regarding the need of financial incentives, vocational training, and fostering stakeholder encouragement in the waste sectors to implement CE solutions.

Valuating the efficiency of social security and healthcare in OECD countries from a sustainable development

Under the goal of sustainable development, coping with the increase in social security and healthcare expenses caused by population aging is becoming increasingly important, but it is rare in the literature to evaluate the impact of social security efficiency on healthcare efficiency. This research uses the dynamic SBM two-stage model to observe the efficiencies of social security and healthcare in OECD countries. There are two findings as follows. First, the higher social security efficiency is, the better is the healthcare efficiency of countries with lower per capita GDP. Second, higher social security efficiency of National Health Service (NHS) countries denote better healthcare efficiency. When the financial source of the social security system is taxation, then it is more likely to bring higher efficiency to healthcare.

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.

Clustering sustainable suppliers in the plastics industry: A fuzzy equivalence relation approach

Nowadays, pure economic supply chain management is not commonly contemplated among companies (especially buyers), as recently novel dimensions of supply chains, e.g., environmental, sustainability, and risk, play significant roles. In addition, since companies prefer buying their needs from a group of suppliers, the problem of supplier selection is not solely choosing or qualifying a supplier from among others. Buyers, hence, commonly assemble a portfolio of suppliers by looking at the multi-dimensional pre-determined selection criteria. Since sustainable supplier selection criteria are often assessed by linguistic terms, an appropriate clustering approach is required. This paper presents an innovative way to implement fuzzy equivalence relation to clustering sustainable suppliers through developing a comprehensive taxonomy of sustainable supplier selection criteria, including supply chain risk. Fifteen experts participated in this study to evaluate 20 suppliers and cluster them in the plastics industry. Findings reveal that the best partitioning occurs when the suppliers are divided into two clusters, with 4 (20%) and 16 (80%) suppliers, respectively. The four suppliers in cluster one are performing better in terms of the capability of supplier/delivery, service, risk, and sustainability criteria such as environment protection/management, and green innovation. These factors are critical in clustering and selecting sustainable suppliers. The originality of this study lies in developing an all-inclusive set of criteria for clustering sustainable suppliers and adding risk factors to the conventional supplier selection criteria. In addition to partitioning the suppliers and determining the best-performing ones, this study also highlights the most influential factors by analysing the suppliers in the best cluster.

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.

Analysis of the circular economy efficiency of China's industrial wastewater and solid waste - based on a comparison before and after the 13th Five-Year Plan

The circular economy has been incorporated into China's Five-Year Plan as an important policy tool for sustainable development with the aim of resolving the conflicts among economic growth, energy shortages, and environmental pollution. This research introduces industrial waste emission and recycling indicators into the window two-stage DDF recycle model, explores industrial circular economy efficiency in 30 provinces of China from 2011 to 2019 in the two stages of production and recycle, and focuses on efficiency improvement and stability during the 13th Five-Year Plan period. The results show the following. (1) During the study period, especially during the 13th Five-Year Plan, the circular economy efficiency in most provinces is positively improved, and its improvement is more significant in the central and western provinces. (2) Production stage efficiency is higher than recycle stage efficiency. Whether measured in the overall process, the production stage, or the recycle stage. In mean efficiency, the east is better than the central, and the west is the worst. (3) In terms of efficiency stability during the policy period, the central is the most stable, the east is the second most stable, and the west is the least stable. Shanghai and Tianjin present high efficiency and high stability; Zhejiang, Anhui, and Qinghai present high efficiency, but low stability; and Ningxia, Yunnan, and Xinjiang perform poorly in terms of efficiency values and stability. (4) Each province could adapt to its own situation, accelerate the adjustment of the industrial structure, optimize the energy consumption structure, and improve the overall resource utilization efficiency and recycling efficiency. The government could tilt the resource layout towards provinces with development difficulties, and meanwhile promote efficient development of recycling policies with dividends that address regional imbalances.

Development and application of a composite circularity index

Resource depletion and environmental pollution are increasingly a matter of concern for their adverse effects on ecosystems, human health, and the economy. Circular Economy (CE) practices can help us address these challenges. This paper proposes a composite circularity index (CI) to assess the level of implementation of CE practices. The main advantage of the proposed index is its ability to combine multiple indicators of circularity for different units operating in a given sector (given as inputs), using a 'Benefit of the Doubt' model. This new model is innovative in the manner it deals with ordinal scales and also by considering both relative and absolute performance indices. These indices are computed using mathematical programming tools, building on ideas from Data Envelopment Analysis models. Although the model can be applied to any sector, this work addresses the hotel industry in particular. The selection of indicators for this CI was based on seven blocks of the Circular Economy Action Plan and a literature review of circular practices. An application of the proposed index is performed by using data from Portuguese and Spanish hotels. The proposed CI allows the identification of the organizations with the best and worst performance in implementing the CE practices and clarifying the benchmarks they could follow to improve their level of circularity. Moreover, the index analysis also provides specific targets for improvement, indicating which circular practices should be improved for the lower performers to reach the implementation levels of the best performers.

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.

Evaluating the total-factor efficiency of E3 in oil-producing countries, with emphasis on education

Global warming is one of the greatest challenges of the contemporary world. Overcoming this problem requires a global determination in energy management and a significant reduction in the use of fossil fuels worldwide. The objectives of this article are to investigate the role of education in economic growth and to evaluate the total-factor energy, economic and environmental efficiency (E3) of oil-producing countries and productivity changes between 2000 and 2019. These countries were divided into two categories of middle- and high-income ones. The panel data model was used to estimate the role of education in the countries' economic growth, and the data envelopment analysis (DEA) method was used to measure their total-factor efficiency (E3). The findings indicate that education has a positive role in economic growth. In general, Norway proved to be efficient in all indicators of e1, e2, e3, and E3. The worst performance in e1 belonged to Canada (0.45) and Saudi Arabia (0.45); in e2, to Algeria (0.67) and Saudi Arabia (0.73); in e3, to the USA (0.04) and Canada (0.08); and in E3, to Canada (0.46), Saudi Arabia (0.48), and the USA (0.64). The average total-factor efficiency of all indicators for the selected countries was low. Average changes in total-factor productivity and technological changes for all the selected countries had decreased in e1 and e3 but improved in e2 and E3 during the studied period. The changes in technical efficiency also decreased during the period. Moving towards a low-carbon economy, developing creative and environment-friendly technologies, more investment in clean and renewable energy, and creating diversity in production, especially for OPEC and countries with single-product economies, are some of the ways suggested for improving E3 efficiency in the countries.

Exploring the role of economic and institutional indicators for carbon and GHG emissions: policy-based analysis for OECD countries

Most of the developed countries across the globe have targeted to attain sustainable economic growth. With this focus, the current study evaluated 29 OECD countries over the time period of 1990 to 2018 to analyze the influence of economic and environmental indicators, i.e., export diversification, institutional quality, macrocosmic variables on carbon dioxide, and greenhouse gas emissions. The current study used the quantile regression and generalized method of moments approach on the selected panel. Our comprehensive econometric approach allows us to reveal that export diversification negatively affects carbon emissions but promotes greenhouse gas emissions. Similarly, institutional quality, economic growth, financial development, and economic growth helps to reduce carbon emissions but increase greenhouse emissions. In comparison, trade openness exhibits a positive influence on carbon emissions but a negative on greenhouse gas emissions. Besides, urbanization is found one of the major reasons for environmental degradation. In light of empirical fact findings, this study commends some innovative policy insights for scholars, governors, and policymakers.

Socioeconomic determinants of environmental efficiency: the case of the European Union

The study's main objective is to assess and evaluate the models of socioeconomic determinants of environmental efficiency in the European Union countries from 2010 to 2018. The two-step data envelopment analysis is implemented, using both constant and variable returns to scale assumption. Moreover, the results of the model of environmental efficiency determinants from four areas-tourism, circular economy, energy and resources use and quality of life-are presented. Based on our findings, it can be concluded that it is necessary to develop the concept of sustainable tourism because the enormous increase in foreign tourists harms environmental efficiency. It is also necessary to gradually transform economies into less energy-intensive towards knowledge-based economies. The positive impact of measures related to the pain of the circular economy was also demonstrated. In conclusion, we present several recommendations for EU policies concerning the current economic and energy situation.

Comprehensive Environmental Assessment Index of Ecological Footprint

This paper aims to contribute to the growing body of research literature on assessing environmental efficiency by introducing a new key performance indicator (KPIs) in more complete and dependable aspects of ecological footprint indices. For this purpose, the DEA model considering three inputs (energy consumption, labor force, and capital stock), one desirable output (GDP), and different undesirable outputs (CO₂ emissions, ecological footprint indicators) are applied to 27 OECD countries from 2000 to 2017. According to the results, Norway, Luxemburg, and United Kingdom are the most environmentally efficient countries in terms of environmental efficiency and ecological footprint efficiency. On the other hand, the lowest environmental and ecological footprint efficiencies were in countries like Lithuania, Slovak, Czech, Estonia, and the USA. In addition, these nations fare poorly regarding their carbon footprint and farmland efficiency. In further detail, Lithuania, South Korea, Portugal, and Spain have a critical status in fishing ground efficiency, while the forest area efficiency is very acute in Estonia, Latvia, Lithuania, and Czech.

A new integrated circular economy index and a combined method for optimization of wood production chain considering carbon neutrality

The wood industry is potentially advantageous to applying the concepts of circular economy for sustainable development and can contribute to the commitment of carbon neutrality. This study developed an integrated circular economy index based on five different quantitative indicators for assessment of the wood production chain: heat recovery rate, CO2 sequestration rate, fossil fuel substitution rate, renewable electricity usage rate, and revenue increase from the by-products. A combination of best-worst method (BWM) and linear goal programming (LGP) techniques was investigated to develop an optimal circular economy model of wood processing chain for reduction in CO2 emission. The integrated circular economy index and the combined method were tested in a case-study of a rubberwood processing chain in Vietnam. The proposed model suggests that the woodchips and biomass from the harvesting and processing of rubberwood could be collected and treated using microwave thermolysis techniques; the enzyme hydrolysis technique is appropriate for bioethanol and biomethane recovery from the sawdust; and the hot air technique is preferable in the drying process. The proposed model could result in a significant reduction of the total net carbon emission from +552,750 tons CO2eq to -1,145,940 tons CO2eq per year. This could support the achievement of Vietnam's zero CO2 emission goal and hopefully contribute to the country's commitment to carbon emission neutrality by the year 2050.

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.

Sustainability assessment of waste cooking oil-based biodiesel plant in developing economy based on F-DEMATEL and F-ISM approaches

Developing clean and renewable energy resources for long-term usage is a crucial concern in developing countries. In this regard, biodiesel technology is drawing a lot of public interest throughout the world. The issues associated with the sustainability of a biodiesel plant are intimately connected with restricted natural resources, political influences, energy independence, economic prosperity and global stability. Therefore, this paper aspires to identify the most influential factors that affect the sustainability of a biodiesel plant and describe interactions among them. The study focuses on identifying 36 factors based on an extensive literature review, questionnaire, experts' opinion and website in the context of developing economies. These factors include social, environmental and economic aspects. A framework based on fuzzy-interpretive structural modelling (F-ISM) and fuzzy-decision-making trial and evaluation laboratory (F-DEMATEL) is applied to investigate the identified factors. The F-ISM approach allows a better understanding of the contextual interactions between the factors and classify them based on their driving and dependent powers. The fuzzy-DEMATEL technique facilitates in identifying the influential and influenced factors and categorizes them into cause-and-effect groups. The findings of the study suggest that 'Legal and regulatory compliances', 'Political constraints', 'International relations', 'Health and education' and 'Public safety and security' are the five most influential factors that are needed to be addressed for the sustainability of biodiesel plant. The paper also presents a few strategies, which can be applied as a guiding step by the decision-makers to formulate policies for the effective implementation of sustainable growth of the biodiesel plant.

Commitment of European SMEs to resource efficiency actions to achieve sustainability transition. A feasible reality or an elusive goal?

The European Union has built an interdependent framework to promote sustainability transition through commitment in resource efficiency (RE) actions as echoed in the European Green Deal. Although the factors affecting firms' decision to adopt a green strategy have been extensively explored, those affecting commitment remain unexplored. Thus, we study whether commitment of European SMEs to RE actions fosters sustainability transition and, what drives such commitment. Data includes more than 37,000 European SMEs from 2013 through 2017, combined with country-specific characteristics explored via a probit model with sample selection. Findings indicate that during the study period there has been a change in the structure of incentives of the firms, as in the beginning of the period, adoption of RE actions and future engagement were considered as independent decisions. We document that commitment is driven RE enhancers such as the implementation of new technological paradigms, cooperation, and specialized business advice while resource productivity, green energy, and competitiveness further foster commitment. Findings advocate that commitment in RE actions to achieve sustainability transition is a feasible reality. Efforts of policymakers should focus on further enabling RE committed firms by reducing policy red tape.

Impact of plastic pollution on outdoor recreation in the existence of bearing capacity and perspective management

Large-scale increases in plastic waste, greenhouse gas emissions, and fossil fuel depletion all have negative consequences for the environment. Plastic pollution can lead towards negative impacts on outdoor recreational activities. China and the European Union, as world leader in recycling and reuse, are tackling this issue by putting in place measures to counteract this trend for better outdoor recreational activities. As China and EU nations are most attracted by the tourists it is possible that recreational spot can have harmful effects upon wild and human life. So, we analyze the impacts of plastic waste recycling and reuse on outdoor recreation. It is possible to speed up the circular process if industry reduces its resource and energy consumption while also being able to handle plastic waste responsibly, utilize renewable energy sources, generate jobs, and contribute to economic growth, among other things. This research investigates the transition to sustainability in the European Union nations and China between 2000 and 2020 via the prism of resource and energy productivity in the EU nations and China. The Autoregressive Distributed Lag (ARDL) Model, as well as the estimator Driscool Kraay, are employed in this study. There is a statistically significant relationship between plastic recycling and valorization because of plastic pollution leads toward negative impacts on outdoor recreation, as well as resource productivity, according to the data. Increased energy tariffs, insufficient investment in research and development, a lack of job opportunities, and other factors all act as roadblocks to the implementation of circular growth strategies.

Evaluation of sustainable economic and environmental development evidence from OECD countries

This study analyzes the economic and environmental performance of OECD countries over 2000–2019. A by-production approach is applied and the efficiency score is decomposed into its economic and environmental components. Unlike previous studies, we apply a refined model that allows for the correct modeling of by-production technology. The refined model can provide clear economic illustrations for balancing economic growth and environmental protection. The results indicate that environmental inefficiency is higher than the potential economic improvement. The environmental efficiency of OECD countries is improving, while economic performance is worsening over time. Therefore, instead of highly polluting energy, clean energy should be used to build a low-carbon economy. Worldwide, carbon-emitting countries and developed countries should shoulder their responsibilities to reduce carbon emissions and provide emission reduction funds for developing countries, while simultaneously sharing the green production technologies needed to reduce emissions.

Value Realization and Optimization Path of Forest Ecological Products-Case Study from Zhejiang Province, China

In the last decade, more and more attention has been paid to the efficiency of ecological products’ value in the literature. Studying the value-conversion efficiency of forest ecological products can measure and reflect the huge value contained in forests, which is of great significance to promote the transformation between “clear water and green mountains” and “gold and silver mountains” as well as solve the problem of economic development and environmental protection. Studying the value-conversion efficiency of forest ecological products can scientifically evaluate the results of the mutual transformation of “clear water and green mountains” and “gold and silver mountains”, which is of great significance for deepening the theory of the “two mountains”. This paper took Zhejiang Province as the research object, constructed an index system of forest ecological products’ value accounting, used the super-SBM model and Malmquist index to calculate the conversion efficiency of forest ecological products’ value, and proposed optimization paths according to the research results. The results showed that: (1) From 2000 to 2020, the value of forest ecological products in Zhejiang Province showed a fluctuating upward trend. In 2020, the total value of forest ecological products was RMB 973.717 billion. Among them, the value of material products was RMB 12.560 billion, the value of ecological regulatory products was RMB 726.323 billion, and the value of cultural service products was RMB 234.834 billion. (2) There were great differences in the value-conversion efficiency of forest ecological products among cities in Zhejiang Province, but the overall trend was steady and developing in a positive direction. (3) The total-factor productivity of forest ecological products in Zhejiang Province showed a fluctuating trend, and its growth was mainly limited by the technical efficiency and technological progress index. (4) The main reasons for the conversion-efficiency loss of forest ecological products’ value in Zhejiang Province were excessive input and insufficient output. The specific reasons for the loss of efficiency in different cities were different, so it is necessary to find improvement paths according to local conditions. Our research provides a new perspective for the academic community to evaluate the value-realization effect of ecological products as well as a decision-making reference for policy makers of ecological environmental protection and construction.

The average environmental efficiency technique and its application to Chinese provincial panel data

In this study, we propose average environmental efficiency, a more comprehensive, fair, comparable, and robust environmental efficiency measurement considering all projection directions to the efficient frontier, and then it is used to evaluate the environmental efficiency of Chinese provinces from 2006 to 2017. Furthermore, we investigate the most influential factors of regional environmental efficiency via a feasible generalized least squares regression approach. The empirical results show that only nine Chinese provinces have average environmental efficiency greater than the national average, implying that two-thirds of the provinces still have much room for improvement. Additionally, environmental efficiency disparities exist between provinces and between four larger geographical areas. The east area achieved the best environmental efficiency over the studied period, better than the whole country, followed in order by the west area, central area, and northeast area. Moreover, we find that the energy consumption structure, government intervention, and economic openness significantly and negatively influence regional environmental efficiency. Finally, we provide policy implications in terms of energy consumption structure optimization, government supervision, and foreign investment introduction while considering the local conditions in different provinces.

A review of reverse logistics and closed-loop supply chains in the perspective of circular economy

Purpose

This paper presents a systematic literature review of the various aspects of reverse logistics (RL) and closed-loop supply chains (CLSC) in implementing and achieving circular economy (CE) motives. CE is identified as a method of embracing imperishability into the economic structure, helping shift from a linear to a condition leading to ecological and social benefits.

Design/methodology/approach

Systematic literature was used to review a total of 80 peer-reviewed articles are included in the study and covers different concepts related to the implementation of CE, such as cost-saving, network design, sustainable RL, waste management and extended producer responsibility.

Findings

The findings reveal that the research in the domain is in a growing phase, and in recent years, a lot of attention has been given by researchers across the globe. However, further research is required in crucial areas for the adoption of CE, such as retail reverse logistics, pharmaceutical industries and resource recycling industry.

Practical implications

The study discusses the business needs and solutions for industries. Key enablers and barriers are listed along with the main activities involved in each sector in CLSC. Managers can design a pathway to decide which lever to use to overcome a particular challenge.

Originality/value

The work contributes theoretically by developing research themes in RL and CLSC practices applied to CE. It also provides theoretical and practical implications of the study, which can be used as a signboard for further research.

Green growth & sustainability transition through information. Are the greener better informed? Evidence from European SMEs

The European Green Deal along with directives promoting Circular Economy support sustainability transition and foster green growth through developing appropriate funding. However, information on how to access such funding affects firms' decision to expand their business strategy. This paper investigates the effect of information about financing tools on the adoption of Circular Economy business activities by exploring whether the better-informed firms are 'greener' and what influences such decision through a switching endogenous regressor model to account for endogeneity and selectivity bias. Data on European SMEs is combined with country-specific characteristics and econometric results indicate that better informed firms are by 65 percentage points more likely to adopt an activity promoting Circular Economy, highlighting that awareness about funding tools is crucial for sustainability transition. Evidence advocates for mainstreaming information regarding funding sources to pave the way towards green growth. A rebound effect regarding the use of renewables is observed whilst evidence points towards the rejection of Porter Hypothesis. Policy makers should target in fostering a greener business environment for the firms that engage in Circular Economy practices through increased information on funding options. Findings are also pertinent to the ongoing discussion and policy agenda around acceleration of the transition to a greener European Economy.

Assessing urban atmospheric environmental efficiency and factors influencing it in China

With rapid urbanization and industrialization in developing countries, cities have become the major sources of air pollution. Studying urban atmospheric environmental efficiency has an important reference value for the prevention and control of air pollution. This study used data from 267 cities in China between 2001 and 2016 to assess the urban atmospheric environmental efficiency using the super-efficiency slacks-based measure model, to test the spatial characteristics of urban atmospheric environmental efficiency using the spatial autocorrelation method, and to identify factors influencing it using the Geodetector. The results are as follows: (1) The atmospheric environmental efficiency of most cities in China is increasing. The average efficiency in the entire country exhibits an upward "wavy" trend. The average urban atmospheric environmental efficiency in Eastern China is the highest, and that in Western China is the lowest. (2) The urban atmospheric environmental efficiency exhibits the characteristic of global spatial autocorrelation, and high-high and low-low are the main types of efficiency in local spatial autocorrelation. (3) Population density, industrialization, and science and technology are the main factors influencing urban atmospheric environmental efficiency.

An integrated DEMATEL-MMDE-ISM approach for analyzing environmental sustainability indicators in MSMEs

The Micro, Small and Medium Enterprises (MSMEs) face numerous environmental challenges encompassing resource and energy conservation; waste generation and disposal; water and air pollution; and so on. As a result, it becomes critical to implement policies, strategies, and technologies that can help in reducing the adverse impacts of manufacturing activities on the environment. In this context, the current study identified 15 critical environmental sustainability indicators to assess the impact of manufacturing activities on the environment by taking a case study of lock manufacturing MSMEs. To understand the interdependence among the selected indicators, the study further utilizes an integrated DEMATEL-MMDE-ISM approach to analyze the inputs of industry professionals. The results of the study highlighted that green product design, which facilitates the product to be disassembled, reused, or recycled and are free from hazardous materials, plays a significant role in enhancing the environmental sustainability of the concerned industry. Green product design significantly affects 12 other indicators out of 15 under consideration; thus, incorporating green practices in the design and development of a product leads to significant improvement in environmental sustainability. The study is expected to aid decision-makers (industry practitioners and academic researchers) to identify strategic areas in order to achieve higher environmental sustainability in manufacturing organizations.

Measuring urban integrated water use efficiency and spatial migration path in China: A dynamic two-stage recycling model within the directional distance function

Improving water use efficiency from a recycling perspective is claimed to be a better way to ensure prosperity in a water-stressed world. Although many studies have focused on the efficiency of integrated water use system, such as a water use and wastewater treatment (WUWT) system, few studies have observed the dynamic change involving a two-stage recycling structure. This research thus proposes a dynamic two-stage recycling model within the directional distance function (DDF) by taking reused water in the WT stage as a recycled product for WU stage's input in the next period. This paper reveals the dynamic evolution and spatial migration path of this efficiency in China. Results are as follows. (1) The average overall efficiency of the urban WUWT system for 30 provinces during 2011-2018 was 0.78. The central region's lower WUWT efficiency was caused by the expanding provincial differences in WU efficiency. (2) The urban WU sub-system performed poorer than that of the urban WT sub-system due to underutilizing reused water, such as in Jiangxi, Guangxi, Yunnan, and Jilin. (3) Narrowing the spatial imbalance of economic development and water use between the eastern and western regions is of great importance for promoting China's spatial imbalance of urban WUWT efficiency.

Grey Lotka-Volterra model for the co-evolution of technological innovation, resource consumption, environmental quality, and high-quality industrial development in Shaanxi Province, China

The rapid industrialization and the lack of technological innovation over the past 40 years have caused serious environmental pollution and waste of resources. Therefore, it remains an urgent challenge to coordinate technological innovation, resource consumption, environmental quality, and high-quality industrial development in China. Using the data of Shaanxi Province from 2005 to 2019, in this paper, we adopt the 4-population grey Lotka-Volterra model (GLV) to study the competition and cooperation among technological innovation (TI), resource consumption (RE), environmental quality (EE), and industrial development quality (IQ). We also discuss the equilibrium point and stability of the GLV model and further verify its accuracy. We conduct an empirical study of the data of Shaanxi Province, and the results demonstrate that (1) TI is able to improve EE, increase IQ, and promote RE; (2) conserving resources has a positive effect on TI, EE, and IQ; (3) although EE could prevent TI and IQ, it can reduce RE; and (4) IQ can effectively reduce RE and improve EE; however, it hinders TI. (5) The result of equilibrium analysis reveals that the evolution of the four factors will tend to reach a stable equilibrium point in the future, that is, realizing co-evolution.

Which region and which sector leads the circular economy? CEBIX, a multivariant index based on business actions

The circular economy encompasses a sustainable economic model based on a production, consumption, distribution and maintenance process that reuses as much as possible. In this research, the two-step composite Circular Economy Business Index was created, based on 17 environmental practices that companies have implemented to reduce the generation of waste and emissions and to increase the reuse and efficiency of materials and energy, among other actions. The use of a sample of 26,783 companies from 49 countries and 10 sectors for the period 2014-2019 allowed the aggregation of these initiatives at the country and industry levels. In this sense, our results show less progress in the circular transformation worldwide and can be used in the design of policies aimed at promoting changes in production and consumption systems in specific geographic or industrial contexts.

Temporal and spatial evolution and obstacle diagnosis of resource and environment carrying capacity in the Loess Plateau

Natural resources are scarce in the Loess Plateau, and the ecological environment is fragile. Sustainable development requires special attention to resource and environmental carrying capacity (RECC). This study selected 24 representative cities in five natural areas of the Loess Plateau; used the entropy-weight-based TOPSIS method to evaluate and analyze the RECC of each city and region from 2013 to 2018; established a diagnosis model to identify the obstacle factors restricting the improvement of RECC; and constructed the theoretical framework of the RECC system mechanism. The results show that the RECC of the Loess Plateau is increasing in general but is relatively small. The environmental and social subsystems have the highest and lowest carrying capacities, respectively. There is an evident contradiction between economic development and the environment. Population density, investment in technological innovation, per capita sown area, and per capita water resources are the main obstacles affecting the improvement of RECC in the Loess Plateau. Such evaluations and diagnoses can support ecological civilization and sustainable development.

Circular economy indicators and levels of innovation: an innovative systematic literature review

Purpose

This article aims to analyze the specific indicators of the circular economy (CE) in terms of analytical aspects, scope and breadth of metrics and levels of innovation associated with CE.

Design/methodology/approach

A literature review was developed with a sample of 125 articles, extracted from Scopus, Web of Science, ScienceDirect, Emerald, Google Scholar, Online Library, Sage, Springer, Taylor and Francis and JSTOR databases.

Findings

The results indicate the lack of integration of the social dimension and predominance of environmental indicators, lack of indicators for the meso level and concentration of metrics for the product level. Methodological criteria of validity and reliability for measurement studies are recommended, as well as paths and proposals for future research in the CE.

Research limitations/implications

The study’s limitations are linked to the content and method aspects. Although the search was performed in several databases, with a significant number of articles returned compared to other reviews of the topic, the possibilities are limited by the data source and the impossibility of a broader review. The theme is not yet consolidated and this affects the linearity of the revised results. As for the method, the analysis and coding in systematic reviews involve the authors’ capacity for exploration and cognition.

Practical implications

The article proposes six theoretical propositions and the theoretical framework that portrays the main findings of the study and questions to drive future research in the topic.

Social implications

The article points out opportunities for companies, universities and the government regarding the possibilities that can be explored to develop knowledge and practice about the field.

Originality/value

This research advances the CE literature by means of providing a review of the indicators, metrics and tools oriented toward the CE literature that contributes to the improvement and consolidation of the various researches in the field.

Measuring the bias of technical change of industrial energy and environment productivity in China: a global DEA-Malmquist productivity approach

Thanks to the booming industry, China has made a huge economic achievement during the past several decades. However, it is suffering severe environmental and sustainable problems now. To find a sustainable development path, it is necessary to assess Chinese industrial energy and environment productivity and explore the contributing reasons. It is known that the technical change is the one power that drives the growth of the industrial productivity. Nevertheless, the technical change bias of Chinese industrial energy and environment productivity has rarely been analyzed, such that the secrets of Chinese industrial energy and environment productivity cannot be further uncovered. Thus, in this paper, we first propose a global DEA-Malmquist productivity index to evaluate the industrial energy and environment productivity of China and then figure out the Chinese industrial technical change biases by relaxing the Hicks' neutral assumption and decomposing the industrial technical change. We find out that both the global DEA-Malmquist productivity and the technical change are increased. Furthermore, the technical change drives the improvement of the global Malmquist productivity, but the technical progress is mainly driven by labor, energy consumption and CO₂ emission biases. A multinomial logistic model is employed to find out the reasons for these biases. It finds that (1) the economic foundation has a significant positive impact on labor bias, while the infrastructures have negative impacts on labor bias. (2) CO₂ emission bias is influence by energy prices positively. (3) The energy prices and the energy consumption structure have a negative influence on labor and energy bias, but the cost of curbing air pollutants and the size of the firm influence labor and energy bias positively. (4) The infrastructures and energy prices affect energy and CO₂ emission bias positively, and the economic foundation and the size of the firm have negative impacts on energy and CO₂ emission bias.

Interval Type-2 Fuzzy Super SBM Network DEA for Assessing Sustainability Performance of Third-Party Logistics Service Providers Considering Circular Economy Strategies in the Era of Industry 4.0

Stakeholders are increasingly aware of the aspect of sustainability, and the fact that the circular economy facilitates the achievement of sustainable development goals. They place pressure on supply chains to become sustainable, and for this reason, third-party logistics (3PL) service providers, as specialized professionals, play a vital role in sustainable supply chain management. Although developments in technology in the era of Industry 4.0 have been effective at directing 3PLs along the path towards sustainability, integrated management of forward and reverse logistics systems in order to achieve a circular economy and to become sustainable remains a problem, even in developed countries. However, benchmarking and using the experiences of others can help to speed up this path at a minimal cost. An interval type-2 fuzzy super-slack-based measure network DEA was developed to make such benchmarking possible. Governance style, staff behavior, environmental management systems, and social elements are considered, alongside the principles of the circular economy, in order to compare the sustainability performance of 17 3PLs with respect to different aspects through the application of the developed DEA model. Proper benchmarking with respect to strategies and operations of the 3PLs that are recognized as efficient makes it possible for these 3PLs to overcome obstacles and progress at a lower cost. The results show that 3PLs do not have a comprehensive sustainability strategy that is coordinated with an overall vision of the total supply chain. An investigation into the development of a framework with multiple steps for the guidance of 3PLs, as well as the whole supply chain, towards sustainability in the Industry 4.0 era would be a fruitful next study.

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.

Assessing Renewable Energy Production Capabilities Using DEA Window and Fuzzy TOPSIS Model

Climate change and air pollution are among the key drivers of energy transition worldwide. The adoption of renewable resources can act as a peacemaker and give stability regarding the damaging effects of fossil fuels challenging public health as well as the tension made between countries in global prices of oil and gas. Understanding the potential and capabilities to produce renewable energy resources is a crucial pre-requisite for countries to utilize them and to scale up clean and stable sources of electricity generation. This paper presents a hybrid methodology that combines the data envelopment analysis (DEA) Window model, and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) in order to evaluate the capabilities of 42 countries in terms of renewable energy production potential. Based on three inputs (population, total energy consumption, and total renewable energy capacity) and two outputs (gross domestic product and total energy production), DEA window analysis chose the list of potential countries, including Norway, United Kingdom, Kuwait, Australia, Netherlands, United Arab Emirates, United States, Japan, Colombia, and Italy. Following that, the FTOPSIS model pointed out the top three countries (United States, Japan, and Australia) that have the greatest capabilities in producing renewable energies based on five main criteria, which are available resources, energy security, technological infrastructure, economic stability, and social acceptance. This paper aims to offer an evaluation method for countries to understand their potential of renewable energy production in designing stimulus packages for a cleaner energy future, thereby accelerating sustainable development.

Analysis of Factors Influencing Energy Efficiency Based on Spatial Quantile Autoregression: Evidence from the Panel Data in China

This research mainly studies the factors influencing the efficiency of energy utilization. Firstly, by calculating Moran’sI and local indicators of spatial association (LISA) of energy efficiency of regions in mainland China, we found that energy efficiency shows obvious spatial autocorrelation and spatial clustering phenomena. Secondly, we established the spatial quantile autoregression (SQAR) model, in which the energy efficiency is the response variable with seven influence factors. The seven factors include industrial structure, resource endowment, level of economic development etc. Based on the provincial panel data (1998–2016) of mainland China (data source: China Statistical Yearbook, Statistical Yearbook of provinces), the findings indicate that level of economic development and industrial structure have a significant role in promoting energy efficient. Resource endowment, government intervention and energy efficiency show a negative correlation. However, the negative effect of government intervention is weakened with the increase of energy efficiency. Lastly, we compare the results of SQAR with that of ordinary spatial autoregression (SAR). The empirical result shows that the SQAR model is superior to SAR model in influencing factors analysis of energy efficiency.

Energy consumption, environmental pollution, and technological innovation efficiency: taking industrial enterprises in China as empirical analysis object

Facing increasingly serious environmental problems, technological innovation has become the key for industrial enterprises to coordinate energy conservation and emission reduction constraints and achieve steady growth of the industrial economy. Considering the impact of energy consumption and environmental pollution on the technological innovation efficiency of industrial enterprises, this paper incorporates industrial energy consumption, pollution control, and wastewater and exhaust emissions into the technical inefficiency equation. Based on the panel data of industrial enterprises in 30 provinces and autonomous regions in China from 2009 to 2016, the stochastic frontier analysis (SFA) model is used to study the effect of energy consumption and environmental pollution on technological innovation efficiency of industrial enterprises. The research results show that reducing energy consumption and increasing pollution treatment investment both have a significant driving effect on the improvement of industrial enterprises' technological innovation efficiency. Industrial wastewater and exhaust emissions have the opposite effect; unreasonable input mode of pollution control and personnel allocation have hindered the improvement of industrial enterprises' technological innovation efficiency. The average annual trend of technological innovation efficiency in industrial enterprises shows a curve of first rising, then falling, and rising again. The average values of Chongqing, Zhejiang, and Hunan rank in the top three, and the average values of Qinghai, Heilongjiang, and Inner Mongolia rank the bottom three. The average values of other provinces are higher than 0.9, and the difference is small. A suitable incentive mechanism should be established for industrial enterprises to save energy and reduce emissions and strengthen pollution control, improve the training program for environmental protection technical personnel, and provide important support for improving the green competitiveness of industrial enterprises.

Assessing industrial circular economy performance and its dynamic evolution: An extended Malmquist index based on cooperative game network DEA

This paper aims to investigate efficiency performance and the dynamic evolution of industrial circular economy (ICE). We first employ the cooperative game network data envelopment analysis (DEA) to measure the overall efficiency, subsystem efficiency, and factor efficiency of the ICE system. Then, an extended Malmquist index (EMI) method is proposed to identify the dynamic evolution of efficiency performance over time. Unlike the standard Malmquist index method, the proposed EMI method can finally decompose the EMI of the ICE system into the square root of the product of four dynamic indicators of efficiency change and the technological progress of subsystems, providing more details and dominants underlying EMI in the ICE system. The evaluation results of China's Yangtze River Delta region over 2012-2017 show that overall efficiency of the ICE system presents obvious disparity across cities and subsystems. Besides, it is found that EMI of the ICE system presents a V-shaped fluctuation and is mainly dominated by the environmental treatment (ET) subsystem. The decline of EMI of the ICE system early in the sample period (2013-2014) is caused by serious efficiency deterioration of the ET subsystem, while its rise at the end of sample period (2016-2017) is due to the technological progress of the ET subsystem.

Assessing the Performance of Sustainable Development Goals of EU Countries: Hard and Soft Data Integration

The European Union (EU) energy policy for sustainable development has been the topic of continuous debate, research, and analysis, which frequently focused on objectives and the evaluation of quantitative and qualitative performance. Different approaches can be used for the assessment of sustainable development goals. The authors of the article conducted a literature review of relevant research papers dated 2016–2020. The most common are quantitative methods based on hard data. Some qualitative studies based on soft data are also available but rare. This article proposes hybrid Rough Set Data Envelopment Analysis (DEA) and Rough Set Network DEA models that integrate both approaches. Also, the models allow the inclusion of uncertainty in the underlying data. The article uses hard data of the International Energy Agency (IEA) and the results of the EU survey regarding the influence of the socio-economic environment on CO2 emissions in EU countries. The authors demonstrate that multifaceted and objective assessment is possible by merging concepts from the set theory and operational research.

Evaluating trends in the performance of Chilean water companies: impact of quality of service and environmental variables

In monopoly services that provide drinking water, it is of paramount importance to evaluate the total factor productivity (TFP) change of water companies. Most of the previous studies have computed the Malmquist productivity index (MPI) by applying non-parametric methods. By contrast, following a pioneering approach, in this study, we estimated the MPI using a parametric method that allows us to decompose TFP change into a larger number of drivers, including exogenous and quality of service variables. An empirical application for the Chilean water industry over 2007-2015 was conducted. We found that productivity change estimates were variable across years, differentiating a first period (2007/11) in which productivity declined and a second period (2011/15) in which TFP notably improved. In both periods, scale efficiency change and input mixed effect were the main drivers of productivity change, illustrating the importance of operation scale in water companies' performance. The decomposition of the TFP change in a large number of drivers is essential to propose incentives and measures to promote productivity across time.

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

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.

How public environmental concern affects the sustainable development of Chinese cities: An empirical study using extended DEA models

China is now facing the formidable tasks of saving energy and reducing emissions, so it is very important to analyze China's energy and environmental efficiency. However, previous studies have rarely paid attention to the cross-impacts that different forms of public environmental concern (PEC) have simultaneously on energy and environmental efficiency. To investigate how these two types of efficiency change along with PEC variations, this paper employs six extended programming models which are developed based upon the theory of Data Envelopment Analysis (DEA) and the directional distance function (DDF). An empirical analysis of data from 239 Chinese prefecture-level cities demonstrates the techniques. The empirical results show that PEC variations can significantly affect the environmental efficiency only if the city is experiencing unsustainable development. This work also shows that PEC about input resources may exaggerate the environmental efficiency, implying that the public may be more tolerant of resource over-consumption than of pollutant over-emission.