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The United States Environmental Protection Agency (EPA) developed Toxic Release Inventory (TRI) using information submitted by different industries in the United States. This research examines the contaminants released by paper manufacturing industry in the United States and Ohio over time and what paper manufacturers are doing to diminish the quantities of chemical wastes generated, released to the environment, or managed by other means. It is understood that there is a reduction in the Risk-Screening Environmental Indicators (RSEI) scores from 2002 to 2014 in all the states, which can be related to the adaptation of recycling or reusing of the chemicals in various other manufacturing processes. The other significant observation inferred from the analysis is that the facilities in the states such as Wisconsin, Louisiana, South Carolina, Connecticut, and Pennsylvania based on the economic feasibility or recycling prospects, they are generating higher quantities of the selected chemical resulting in the higher RSEI scores respectively for the above-mentioned states. This article demonstrates the application of the risk-screening indicators model to a large database to analyze pollution data. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 808-814, 2017 [ABSTRACT FROM AUTHOR]

Magazines and newspapers, as two kinds of municipal solid waste, were investigated as the fuel feedstock in a hybrid direct carbon fuel cell. These carbon sources, together with a reference carbon source-activated charcoal, were characterized by such techniques as X-ray diffraction spectra, X-ray photoelectron spectroscopy, and thermal gravimetric analysis, among others. The results indicate that the carbon from magazine waste paper was more abundant in calcite and magnesium calcite, with more oxidation degree of carbon and higher thermal reactivity, compared with the other two carbon sources. Then, the cell performance fed with such carbon sources was tested in a homemade device. The cell fed with magazine waste paper carbon showed the highest performance among the three carbon sources, with a peak power density of 172 mW/cm 2 at 650 °C. The cell performance results indicated that waste paper carbon sources, with a surface containing certain inherent impurities (calcite and magnesium calcite) and a high oxidation degree of carbon, could favor the thermal gasification of carbon fuel, and thus considerably enhance cell performance, especially for the operating temperatures below 700 °C. This study demonstrated that waste paper carbon sources could be promising fuel feedstock for hybrid direct carbon fuel cells. [ABSTRACT FROM AUTHOR]

Abstract: Recent years have seen increasing demand for wider application of strategic environmental assessment (SEA), especially SEA of major policies, as a powerful instrument to safeguard the environment during the rapid industrialization and urbanization in China. Debates on SEA are concentrated on its feasibility and effective implementation in practice. This study applies Emergy analysis within the framework of social–economic–natural complex eco-system theory to overcome the limitations of methods used for assessing regional sustainability so far. This established model is tested in the case of Chinese paper industry to assess the sustainability of 5 policy scenarios. The results show that Emergy-based Indices (EbI) are more effective to measure the sustainability of industry complex ecosystem, thus EbI approach is very useful in SEAs on policy scenarios of a given complex ecosystem. [Copyright &y& Elsevier]

The evolution towards a green economy integrating social, economic, and environmental concerns has opened a new window to pursue the sustainable development goals (SDGs), especially for emerging nations. Nonetheless, despite being a pressing concern on a global scale, empirical research into the potential for green economy development in the context of Bangladesh has remained notably inadequate. To fill this void, this study is an attempt to evaluate the connection among economic growth, carbon dioxide (CO 2 ) emissions, education, life expectancy, and technology to conclude the ecological and socio-economic repercussions of a green economy in Bangladesh's framework of achieving SDGs. Considering the statistical features of the annual data from 1990 to 2019, the autoregressive distributed lag (ARDL) method has been employed to analyze the connections between the chosen variables. The empirical outcomes show that an upsurge in CO 2 is accompanied by a 3.66% increase in GDP over the long term, suggesting a positive and statistically significant relationship between the two variables. In addition, GDP increases by about 4.2% for every 1% increase in life expectancy. However, the relationship between technological innovation and education found an insignificant positive linkage with GDP. The most important takeaway from these findings is that the growth of Bangladesh's economy is occurring at the expense of the environment. Hence, this research recommends that, as a developing nation, Bangladesh should concentrate on environment-friendly alternatives, which can be done through the introduction of a green economy to achieve a sustainably developed economy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Ethiopia is experiencing deterioration in river quality resulting in adverse effects on human health and hydrobionts. This study aimed to analyse the effects of specific environmental stressors on the distribution and abundance of macroinvertebrates in the Upper Awash River. The study was conducted from January 2018 to March 2018. Macroinvertebrates were collected from five sites using standard handheld nets. Physicochemical parameters including electrical conductivity, dissolved oxygen, total phosphorous, nitrate-nitrogen, pH, dissolved oxygen and water temperature that can affect the distribution and abundance of macroinvertebrates were assessed. A total of 14,465 individuals belonging to 33 families of insects and 5 families of the noninsect group were identified. Among all recorded taxa, Diptera was the most abundant and diversified order. Macroinvertebrates among the five sites showed variation in species evenness, richness, and Shannon Diversity Index. Values obtained from biotic indices and environmental parameters indicated the presence of organic pollution at different levels. The impacted downstream site paper mill waste (Walgata) had the relatively highest H-FBI index followed by Osole (more agricultural activities) indicating that Walgata and Osole were poorer in benthic faunal diversity than other sites. In addition, as habitat and water quality degradation increased, the number and percentage of Plecoptera, Ephemeroptera, and Trichoptera (EPT) decreased. The selected metrics will be also useful for the monitoring and assessment of the riverine systems and to access the impact of different stressors. As perturbation increased, species diversity, ETHbios index, Average Score Per Taxon, and family richness decreased, while the percentage of Chironomidae, Diptera, Dominant Taxa, and Hilsenhoff Family-Level Biotic Index increased indicating that tolerant species become abundant in degraded river bodies. Environmental protection agencies of governmental and nongovernmental organizations should make awareness for the local people so that they reduce activities that affect the river. Paper factory should also monitor its effluent from directly discharging into the Upper Awash River. [ABSTRACT FROM AUTHOR]

The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm and the radiation use efficiency (RUE) model were coupled to test large-scale remote sensing environmental indicators in Brazilian biomes. MODIS MOD13Q1 reflectance product and gridded weather data for the year 2016 were used to demonstrate the suitability of the algorithm to monitor the dynamics of environmental remote sensing indicators along a year in the Brazilian biomes, Amazon, Caatinga, Cerrado, Pantanal, Atlantic Forest, and Pampa. Significant spatial and temporal variations in precipitation (P), actual evapotranspiration (ET), and biomass production (BIO) yielded differences on water balance (WB = P-ET) and water productivity (WP = ET/BIO). The highest WB and WP differences were detected in the wettest biomes, Amazon, Atlantic Forest, and Pampa, when compared with the driest biome, Caatinga. Rainfall distribution along the year affected the magnitude of the evaporative fraction (ET f ), i.e., the ET to reference evapotranspiration (ET 0 ) ratio. However, there was a gap between ET f and WB, which may be related to the time needed for recovering good soil moisture conditions after rainfalls. For some biomes, BIO related most to the levels of absorbed photosynthetically active radiation (Amazon and Atlantic Forest), while for others, BIO followed most the soil moisture levels, depicted by ET f (Caatinga, Cerrado, Pantanal, and Pampa). The large-scale modeling showed suitability for monitoring the water and vegetation conditions, making way to detect anomalies for specific periods along the year by using historical images and weather data, with strong potential to support public policies for management and conservation of natural resources and with possibilities for replication of the methods in other countries., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

LCA studies on waste management have been promoted as they can help policy makers choose the best environmental options. However, the increasing globalization of raw materials and waste makes the optimization of waste management strategies and policies quite challenging. Therefore, new approaches are needed in order to identify the consequences of markets on the waste management systems. This paper concentrates on the quantification of greenhouse gas (GHG) emissions of recycling processes. The aim is to generate a comprehensive assessment of GHG emissions as a consequence of increasing the amount of material collected for recycling. Consequential life cycle assessment (CLCA) is an effective methodological framework for addressing GHG quantifications within market, but to properly perform and assess all of the market links between raw materials and waste, it is necessary to determine the cause-effect chains made up of physical flows. Thus, we propose integrating the methodologies of material flow analysis (MFA) and CLCA. We applied these methodologies to the paper and cardboard recycling system in Spain. The GHG results varied between −36 kg CO 2 eq. and −317 kg CO 2 eq. per ton of waste paper collected, depending on the quantity of waste paper exported and the source of marginal pulp considered. The cumulative energy demand (CED) was also calculated as complementary indicator. Similar trends as for GHG emissions were obtained. The future GHG quantifications should be based on the flows described by MFA analysis and should be quantified using CLCA because methodologies that accurately account for GHG are necessary for decision-making. [ABSTRACT FROM AUTHOR]

This study examined the relative sensitivities of seven commonly used indices of stream benthic community composition and three multivariate indices to effects associated with mines, pulp and paper mills, and urbanization. The indices included total abundance, number of taxa, diversity (H9), evenness, Hilsenhoff's biotic index (HBI), the BioMAP water quality index (WQI), the percent model affinity (PMA), and the first three ordination axes from a correspondence analysis. The second objective of the study was to determine the degree of redundancy among these indices. Six data sets (two from each of the three types of development) were used to address the objectives. In each data set, replicate benthic samples were collected from reference areas as well as one or more downstream areas exposed to a point-source or non-point-source discharge. The PMA approach and the ordination axes indicated significant differences between the reference and downstream communities for all six data sets (p < 0.05). With the exception of H', each of the other metrics revealed significant effects associated with one or two, but not all three, types of development. For example, the HBI and WQI indicated significant effects associated with pulp and paper mills and urbanization, but not mining. In all studies, effect sizes (i.e., the standardized difference between means for the reference and exposed areas expressed in units of standard deviations [SDs]) exceeded 2 SDs. However, effect sizes for the PMA and the first or second ordination axis scores were generally larger than effect sizes for the other metrics, indicating that these indices were often the most sensitive indicators of development. In addition, a high degree of redundancy was found among the various metrics, perhaps because the effects were large (i.e., >2 SDs). The greater sensitivity of the ordination axes and the PMA approach emphasizes their value as indices of benthic community composition. As a result, we... [ABSTRACT FROM AUTHOR]

This study aims to compare the evidence level of environmental indicators that follow the GRI guidelines, related to the three leading companies in 2012, within the Brazilian pulp and paper industry, Suzano, Klabin and Fibria. To achieve this goal, an analysis of annual sustainability reports and websites of the companies was conducted. The companies primarily reported those aspects related to materials, water, biodiversity and others, while products and services, compliance, and energy were less emphasized. The results show that the three companies presented a low evidence level, with missing or incomplete indicators. Finally, despite the reports presented and classified as A+ and B+, it is possible to conclude that the companies did not include key indicators and presented unorganized information and a lack of standardization. [ABSTRACT FROM AUTHOR]

Abstract: We studied ecotoxicological responses of aquatic insects to evaluate the recovery of a watercourse with a history of over 100 years as a recipient of pulp and paper mill effluents. The recovery of the water quality began in 1985 due to the improved technology, but ecotoxicological effects on biota have still been evident two decades later, as indicated by morphological abnormalities in tracheal gills of caddis larvae. We hypothesized that these abnormalities are related to organic contaminants, such as resin acids, alkylated PAHs and chlorinated organic compounds, released historically from the mills, and more recently via resuspension from the sediment. Samples were collected between 1999 and 2008, and the species composition and morphological abnormalities in the gill tufts were analysed. We tested a Hydropsychidae index (HA) based on species sensitivity scoring as an indicator of improved overall water quality, especially oxygen concentrations. Gill abnormalities were used as morphological biomarkers indicating potential ecotoxicity. The increased HA values revealed improved oxygen levels and associated recovery of benthic macroinvertebrate community structure. However, the incidence of gill abnormalities remained elevated until the year 2008 indicating slow recovery, as 20-year impacts on population health and ecotoxicity was detected in the watercourse polluted by pulp and paper industry. [Copyright &y& Elsevier]

The purpose of this inquiry is to identify how environmental indicators and environmental technology in the science/policy boundary alternately facilitate and encumber international environmental negotiations. In a case involving a dispute between Sweden and Finland over one another’s contribution to the organochlorine pollution load to the Baltic Sea, indicators of environmental risk, including measures of allegedly toxic concentrations of organochlorines in Swedish and Finnish chemical pulp wastewater, did not bring the two sides closer to a settlement. Also, ironically, advances in technological solutions to the problem were unhelpful to the negotiation. For many months, the disputants failed to acknowledge that deliberations were slowed down by the parties’ pride and confidence in their respective national scientific, technological, and regulatory institutions. In recent years, the problems caused by organochlorine emissions from Swedish and Finnish pulp mills have been all but solved—a comparatively rare transboundary environmental “success story.” With the tackling of the problem, the competition between Sweden and Finland’s preferred engineering solutions has dramatically faded. [ABSTRACT FROM AUTHOR]

Fibre reinforced polymers (FRPs) are increasingly being used in construction due to their light weight, ease of installation, low maintenance, tailor made properties, and corrosion resistance. The UK FRP industry produces 240,000 tonnes of products a year with 11% of this being for the construction industry in a variety of structural and on-structural applications. Products made from FRP materials can offer significant environmental benefits, for example, FRPs used in bridges can reduce the overall weight of the structure and so offer reduced transport and installation impacts. However, although the in service environmental benefits of composites are known, there is far less understanding of the environmental and social implications associated with the manufacture of FRP materials and products. Current and impending waste management legislation will put more pressure on the industry to address the options available for dealing with FRP waste. Such waste legislation focuses on dealing with waste through the w aste hierarchy and will therefore put more pressure on solving FRP waste management through recycling and reuse. At present the most common disposal method for UK FRP waste is landfill. To assist in the transition from disposal in landfill to recycling, the FRP industry needs to consider designing materials and components for easier deconstruction, reuse and recycling at the end of the product life. This paper will highlight the key issues affecting the FRP industry, taking a cradle to grave approach and assessing the environmental impacts at each stage. [ABSTRACT FROM AUTHOR]

In view of the increasing environmental challenges and the growing demand for sustainable energy solutions, the optimization of microgrid systems with regard to economic efficiency and environmental compatibility is becoming ever more important. This paper presents the Microgrid Performance and Investment Rating (MPIR) index, a novel assessment framework developed to link economic and environmental objectives within microgrid configurations. The MPIR index evaluates microgrid configurations based on five critical dimensions: financial viability, sustainability, regional renewable integration readiness, energy demand, and community engagement, facilitating comprehensive and balanced decision making. The current cases focus on the area of Greece; however, the model can have a wider application. Developed using a two-target optimization model, this index integrates various energy sources—including photovoltaics, micro-wind turbines, and different types of batteries—with advanced energy management strategies to assess and improve microgrid performance. This paper presents case studies in which the MPIR index is applied to different microgrid scenarios. It demonstrates its effectiveness in identifying optimal configurations that reduce the carbon footprint while maximizing economic returns. The MPIR index provides a quantifiable, scalable tool for stakeholders, not only advancing the field of microgrid optimization, but also aligning with global sustainability goals and promoting the transition to a more resilient and sustainable energy future. [ABSTRACT FROM AUTHOR]

The development of a resilient and circular bio-based economy is of paramount importance, notably in the EU, where current climate policies and evolving regulations strongly demand more sustainable practices, impacting monitoring and reporting, as well as the deployment of novel valorization routes for byproducts and waste streams. In this context, with the aim of assessing the current state of the European bio-based economy, a comprehensive analysis based on socio-environmental, socioeconomic, and technical indicators was carried out on major sectors, namely textiles, woodworking, pulp and paper, bio-based chemicals and materials, liquid biofuels, and bio-based electricity. Each sector was evaluated with respect to its main biological raw materials, and a methodology is proposed to link their geographical origin (inside or outside the EU), import shares, and internal production with socio-environmental impacts, based on official databases and indexes. Socioeconomic data (turnover and employment) and technical data (average bio-based content within the main products of the sector) were also considered for the analyses, allowing a multi-angle comparison between sectors and the identification of barriers and opportunities for future developments. Finally, a quantitative and qualitative overview of non-hazardous biogenic waste streams generated in the EU is presented, and opportunities for their valorization and reintegration into the EU bio-based economy are discussed. As a result of this analysis, beyond enabling the assessment of each sector within the bio-based economy, along with the assignment of values for comparison, the implementation of this evaluation facilitated the identification of improvement pathways, which were consolidated into a set of proposals. [ABSTRACT FROM AUTHOR]

Evaluation of urban environmental sustainability is an important prerequisite for scientific decision-making of urban sustainability. This paper proposed an evaluation method of urban environmental sustainability based on the integration of multi-improvement demands. Considering the interaction between the economic and social systems on the environmental system, this paper constructed an urban environmental sustainability evaluation indicator system from three dimensions: environmental foundation, environmental pollution, and environmental protection. Combined with the actual improvement demands of each city, a corresponding weighting method was constructed, and the weights of each city's individualized improvement demands were obtained through the analysis of indicator data. Further, in order to consider the fairness and guidance of the evaluation, the corresponding random simulation algorithm was matched for the individualized weights, and the evaluation value and the superiority probability in a stable state after multiple simulations were sought. Based on this, this paper conducted an empirical evaluation of urban environmental sustainability of the 14 cities in Liaoning Province, China. Through the demand-driven evaluation model, cities can obtain improvement suggestions that meet their demands while understanding their environmental sustainability level. It is convenient for top-down policy guidance and bottom-up practical exploration. [ABSTRACT FROM AUTHOR]

The current cases and studies show that the aerosol propagation of COVID-19 is possible in the office buildings. The paper explored the ventilation level and monitoring methods for indoor infection risk in office buildings, improved the Wells-Riley equation and ventilation rate equation, providing the possibility of real-time monitoring of the transmission risk of COVID-19 in office buildings. Then, the main influencing factors of the exposure risk of SARS-CoV-2, including working density, dwell time, and fresh air volume per person, were field measured in three office areas and three conference rooms of an office building in Shenzhen, China. In addition, the field monitored carbon dioxide (CO2) data were used to estimate the possibility of COVID-19 infection in offices and conference rooms. The results show that the number of staff, ventilation rate, and office hours are all important factors affecting the infection risk of workers in the office building environment, but the existing literature rarely considers these three points at the same time. In addition, the paper adopted the method of assessing the infection risk from place to place, time to time, and person to person in the building environment, providing early warning for office buildings and helping to control the spread of airborne diseases. The results can be beneicial to understanding and taking necessary safety considerations against the infection risk in closed public or governmental environments. The paper explored the ventilation level and monitoring methods for indoor infection risk in office buildings and improved the Wells-Riley equation and ventilation rate equation, providing the possibility of real-time monitoring of the transmission risk of COVID-19 in office buildings. The results showed that the number of staff, ventilation rate, and office hours are all important factors affecting the infection risk of workers in the office building environment, but the existing literature has rarely considered these three points at the same time. Meanwhile, research has further demonstrated the connection between the risk of virus infection and indoor monitoring environmental indicators, providing a new path for further accurate prediction of indoor infection risk. The results can be beneficial to understanding and taking necessary safety considerations against the infection risk in closed public or governmental environments. Therefore, evaluating indoor transmission risks through monitoring environmental indicators is feasible and could be used as a reference basis for practical applications. [ABSTRACT FROM AUTHOR]

Despite the diversity of theoretical studies, natural resources' moderating role between governance indicators and environmental quality remains a controversial issue. The purpose of this paper is therefore to clarify the nature of this role in the Middle East and North Africa (MENA) countries from 1996 to 2017 relying on the generalized method of moments system estimators. The empirical results reveal that corruption control, political stability, rule of law, voice and accountability, and government effectiveness increase CO2 emissions, while regulation quality does not affect CO2 emissions. Our findings also show that FDI and GDP increase CO2 emissions. However, natural resources moderate the governance indicators to reduce CO2 emissions. Therefore, policy-makers should increase public awareness of the best use of natural resources. Thus, improving governments' institutional framework will generally contribute to reducing the greenhouse gas emission levels in the MENA countries. [ABSTRACT FROM AUTHOR]

The Canadian Environmental Assessment Act (CEAA) defines the federal environmental assessment (EA) process for evaluating the likelihood that development projects (e.g., roads, buildings, factories) will have impacts on the environment. Environmental effects monitoring (EEM) programs for mining and pulp and paper mills under the Federal Fisheries Act, define the process that is to be used to evaluate existing effects caused by liquid effluents discharged by operating facilities. The EA process occurs before a project is approved, and involves predicting whether the project is going to cause significant environmental impacts. The EEM process occurs after a project is operational, and involves determining whether an existing project has had or is continuing to have significant impacts on the environment. Ideally, the processes are complimentary, with the EA process identifying environmental attributes considered important, and the EEM process demonstrating whether predicted or unpredicted impacts occurred. The two processes are usually done in isolation so potential synergies are lost. The point of this manuscript is to justify bridging the two processes. We use the aquatic environment as the example, and briefly describe the EEM process, aquatic environment indicators, experimental designs, and typical environmental thresholds, to illustrate how the EEM and EA processes link. [ABSTRACT FROM AUTHOR]

The propagation of information risk in complex public opinion environments not only leads to severe direct reputational losses for companies but also results in significant economic damages. Therefore, during the nascent stage of information risk, identifying potential propagation pathways, determining key dissemination channels, and taking timely measures become crucial. To address this issue, this paper proposes a multi-criteria decision-making method for evaluating information risk propagation in complex public opinion environments. In this method, this paper utilizes probabilistic hesitant fuzzy sets to express the evaluation information, and provide several distance and similarity measurement methods for probabilistic hesitant fuzzy elements. To ensure the rationality of the evaluation indicator weights, this study first applies these distance measurement methods to improve the Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory (GRA-DEMATEL) method for determining the objective weights of evaluation indicators. Next, this paper uses the Delphi method to establish the subjective weights of each evaluation indicator. Finally, by employing a weight synthesis operator, this paper combines the subjective and objective weights to obtain the final indicator weights. Additionally, this paper utilizes the similarity measurement methods for probabilistic hesitant fuzzy elements to improve the combined compromise solution (CoCoSo) method in evaluating and ranking potential information risk propagation pathways. Furthermore, this paper incorporates the "Probability Splitting Algorithm" to handle probabilistic hesitant fuzzy elements, enabling their application in these methodologies. Finally, based on a case study of information risk propagation in the catering industry, we conducted a sensitivity analysis and effectiveness verification of the proposed approach. The results demonstrate the effectiveness of the method and its ability to address real-world issues. [ABSTRACT FROM AUTHOR]

Many cities worldwide are at the frontline of environmental challenges during their future planning. Navi Mumbai presents many opportunities to move a city toward sustainability. The land is scarce for development purposes in Mumbai, which has resulted in the creation of the suburban area of Navi Mumbai. As the latter has numerous water bodies and drainage channels, which lie in the ecosensitive zone, to stop organic development, the environmental suitability index along with the accessibility index needs to be assessed to promote future organized growth. The present study investigated the planning of the new areas and assessed environmental suitability and accessibility for various zones seeking future development. The analytical derivation of the environmental suitability index was based on the parameters, subindex, and attributes of environmental issues in that area. The parameters included (1) soil permeability, (2) water-holding capacity, (3) porosity, (4) properties of groundwater and marine water, (5) properties of air, and (6) noise. The entire area was divided into five zones for the current work. The analytical framework was a developed methodology of indices calculated from five monitoring stations obtained from the City and Industrial Development Corporation of Maharashtra Limited, India (CIDCO). The accessibility parameters of the transportation network were measured using alpha indices (α). Finally, a nondominated sorting algorithm was used to obtain final suitability based on the Pareto optimality condition. The development suitability of an area was obtained by computing the environmental suitability index and accessibility index. This computation decides which of the five stations is best for which type of planning. The study developed a dimension-wise suitability index for Navi Mumbai, aiming to streamline the planning process and integrate policies essential for planning to attain sustainable development for Navi Mumbai. During future planning, policymakers and planners have often ignored environmental aspects in ecofragile areas. Hence, planning for new development in ecofragile areas has often been haphazard, piecemeal, and organic. The framework adopted in this paper, combining the environmental suitability index and the accessibility index, intended to assess the area's health and prescribe future actions to reduce the negative environmental impacts of development and regulate the same. The paper showed how data on soil, water, groundwater, air, and noise can be used in a simple mathematical model to compute the environmental suitability index of an area. Similarly, graph-theoretic measures of the whole transportation network can measure the accessibility index of the area. Finally, the development suitability of the area can be calculated by combining the environmental suitability index and the accessibility index. The level of domination result signifies the most suitable station/node for different types of development. Based on the results, policymakers and planners can determine an ecofragile area's future land use development as required. This model can further be adopted by local governing authorities to plan for zoning, zoning regulations, and approval of a proposed development. [ABSTRACT FROM AUTHOR]

There are several standardized meteorological, hydrological, agricultural, and environmental indices for drought classification into a set of dry categories all of which are derived from the basic concept of standardized precipitation index (SPI). Almost all these indices are based on crisp (bivalent) logic where boundary limits between neighboring categories are numbers without transboundary inclusiveness. The SPI procedure depends on the standard normal (Gaussian) probability distribution function (PDF) with zero mean and standard deviation equal to one. This paper proposed fuzzification of the SPI limits among categories for the inclusion of more than one category with different membership degrees. This method is referred to as the fuzzy SPI (FSPI) procedure, which provides drought tracing possibility and categorization. At the end for a numerical value, one can defuzzify the fuzzy result through defuzzification methods. FSPI provides preliminary warning system in terms of two or more fuzzy rule propositions and categories. Thus, one can know the logical alternatives of the drought behavior of a given hydro-meteorology variable. The application of the FSPI is presented for New Jersey State wise and Istanbul annual precipitation records. [ABSTRACT FROM AUTHOR]

The sustainable implementation of resources and the transition to low-carbon construction is on the world's daily agenda. This paper describes the development of criteria for the efficient management of material resources in low-carbon construction. Net income, gross profit, balance sheets, and equity are proposed as indicators that serve as criteria for assessing the efficient use of resources. Nonlinear regression models were the methodological basis for the establishment of cause-and-effect relationships of the volume of construction of transport structures. It was established that since construction companies do not purchase materials for storage, the cost of materials for use in low-carbon technological construction work is directly proportional to the cost of construction. The volume of production in the construction industry is determined by construction costs. More efficient use of low-carbon materials reduces cost and construction waste. In this paper, we have established the relationship between the indicator of efficiency for the functioning of the construction enterprises in Ukraine and the use of low-carbon materials for the construction of transport structures. The practical value of the obtained results for low-carbon construction management lies in proving the relationship between the performance indicators of the construction enterprise (net profit, gross profit, output volume, balance sheets, and equity capital) and the use of low-carbon material resources. Our results form the basis for future research into the use of a cost-based model for low-carbon economy transition in municipalities and regions. [ABSTRACT FROM AUTHOR]

This paper proposes the concept of green institutional environment, and constructs China's green institutional environmental system from the three dimensions of green supervision and public institution, green standardized institution and green accounting institution. Based on the relevant data from 2007 to 2017, this paper simulates China's green institutional environmental index through the Functional Data Analysis method and the functional entropy weight method. The results show that, first, there is a general upward trend in China's green institutional environmental index, with a range of [0.2–0.8]; the minimum value of this index is 0, and there is no maximum value. The larger the value, the higher the level of green institutional environment. Second, at the present stage, China's green standardized institution is relatively well-developed, accounting for the largest weight (i.e., [0.932–0.940]) in the green institutional environmental index system; the green accounting institution plays a supporting role, with a weight of [0.030–0.040], due to the fact that the Chinese government has made great efforts to implement policies at this level; the development of green supervision and public institution is under-developed and has little influence on the green institutional environmental index, with a weight of [0.0285–0.0305]. Finally, the proposed green institutional environmental index remains robust when equalizing the weights of the three dimensions. [ABSTRACT FROM AUTHOR]

The article presents a study of the multidimensional approaches in integrate monitoring for Strategic Environment Assessment (SEA). It mentions the use of strategies and its implementation as required tools for decision support and monitoring to control the pressure on land. It suggests that monitoring should give an automatic alert when certain threshold of environmental pressure overpass by the dimension and velocity of change in land use.

As an important part of the comprehensive transportation system, ports play an important role in economic development. In the context of the '3060 double carbon' target, the high-quality development (HQD) of ports is receiving attention from many parties. The aim of this paper is to examine the dynamic evolution of HQD in China's coastal ports from the perspective of green total factor productivity (GTFP). Firstly, the calculation standards of undesirable outputs are given, and integrated environmental dumping indicator is calculated by the combination weight calculation model based on game theory. Then, the super-efficiency DEA-GML (Data Envelopment Analysis-Data Envelopment Analysis-Global Malmquist-Luenberger) index model based on directional distance function (DDF) is used to measure the GTFP growth of ports. Furthermore, the dynamic evolution of GTFP growth of ports is explored using the kernel density estimation. The findings show that the GTFP growth of coastal ports has continued to improve during the examined period. However, there is the problem that port construction inputs cannot bring effective outputs, and there is a bifurcation that tends to stabilize within coastal ports. Finally, targeted policy implications are given to promote HQD of ports. [ABSTRACT FROM AUTHOR]

This paper addresses the three-dimensional concurrent engineering and presents an integrated mathematical model to determine design and production process of each part of product and its supply chain network with a sustainable approach. Demand is assumed to be design-dependent, and supply chain under study is closed-loop. From sustainability viewpoint, total profit in planning horizon is considered as economic index, and an approach based on life cycle assessment is implemented to calculate environmental index. In this approach, the eco-costs method is utilized to quantify life cycle environmental impact of activities. Also, a ratio based on job creation opportunity and employment rate is considered as social index. To show the performance of the proposed mathematical model, data for a home appliance producer from Iran is utilized. Eventually, a sensitivity analysis is presented to examine the effects of variations in demand on the resulted solutions and the values of triple objective functions. [ABSTRACT FROM AUTHOR]

Human economic activities drive the production and consumption of goods and services, contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). However, the extent of economic growth's influence on the SDGs remains unclear. To fill this knowledge gap, here, we quantified the environmental effects of economic activities and explored correlations between environmental effect and achieving SDGs. We developed six Environmental Footprint Indices, with a higher score indicating better efficiency or lower burden. Here we show that the various Environmental Footprint Indices had synergistic and trade-off effects on most SDG targets indices, but the synergistic effects prevailed. As income increased, the correlation between Environmental Footprint Indices and SDG target indices gradually strengthened. improved production efficiency and consumption changes notably advance SDGs, especially in low-income group countries. Our work provides scientific insights into the impact and prospects of environmental regulation required for achieving the SDGs by 2030. Economic development and its interactions with the SDGs is an important focus for sustainable future growth. This paper develops six environmental footprint indices highlighting the synergies with human production and the SDG targets. [ABSTRACT FROM AUTHOR]

This paper discusses the processes which should be taken to establish debris indices that assess the orbital environmental impact of spacecraft or missions in orbit. The first process is establishing a methodology and criteria for evaluating an impact on the orbital environment. This study proposed an assessment method to evaluate the cumulative environmental changes during an evaluation period. It evaluated the impact of an uncontrolled LC mission abandoned in orbit. This study used Near-Earth Orbital Debris Environment Evolutionary Model (NEODEEM), an orbital environmental evolutionary model that Kyushu University and JAXA developed. The second process is the debris index formulation. This study considered four steps to establish the debris index. To reveal the establishing process of a debris index, this study used debris indexes as candidates which consider expected number of fragments generated from an object. The calculated debris index values were compared to the impact on the environment assessed by the evolutionary model to see if there was any correlation. Further, this study conducted numerical simulations of un-controlled large-constellation satellites abandoned in low earth orbit in different scenarios, and of active debris removals of large intact objects by NEODEEM. This paper discusses the applicability of proposed environmental assessment methods and the debris index. • Two processes to establish a debris index are proposed. • A methodology and criteria for evaluating environmental impacts is discussed. • Four steps to formulate a debris index is discussed. • Correlations between debris indexes and environmental impacts are compared. [ABSTRACT FROM AUTHOR]

Exploring the coupling and coordinated development of formal and informal environmental regulation, as well as their impact on the upgrading of the industrial structure of urban agglomerations, represents a new breakthrough. The comprehensive index of formal environmental regulation, informal environmental regulation, and industrial structure upgrading is calculated using the entropy method based on sample data from 127 cities in China's ten major urban agglomerations between 2003 and 2019. The characteristics of the coupling and coordinated development between formal and informal environmental regulation in these urban agglomerations are examined using a coupling coordination degree model. Furthermore, the effects of the coupling and coordinated development of formal and informal environmental regulation on the industrial structure upgrading in urban agglomerations are analyzed through fixed-effect and threshold regression models. The findings demonstrate that although the development of urban agglomerations remains unbalanced, the overall coupling coordination degree between formal and informal environmental regulation is increasing. Generally, the ten major urban agglomerations have transitioned from a state of reluctance coordination to primary coordination. The Pearl River Delta urban agglomerations have progressed from reluctance coordination to middle coordination, while the Yangtze River Delta, Shandong Peninsula, Central Plains, and Beijing–Tianjin–Hebei urban agglomerations have advanced from reluctance coordination to primary coordination. The remaining five urban agglomerations have shifted from near disorder to reluctance coordination. The coupling and coordinated development of formal and informal environmental regulation significantly promote the upgrading of the industrial structure in both overall and grouped samples of urban agglomerations, and the higher the degree of coupling coordination, the greater the promoting effect. Moreover, when informal environmental regulation is considered as a threshold variable, the coupling coordination degree exhibits a broken-line relationship with the industrial structure upgrading in urban agglomerations. Currently, the intensity of informal environmental regulations is relatively reasonable in China's ten major urban agglomerations, and the coordinated development of formal and informal environmental regulations has an impact on the industrial structure of urban agglomerations. Finally, this paper proposes corresponding suggestions encompassing the construction of an environmental regulation policy system, differentiated industrial policy, and the coordinated promotion of various policies. [ABSTRACT FROM AUTHOR]

Rapid detection of plant phenotypic traits is crucial for plant breeding and cultivation. Traditional measurement methods are carried out by richexperienced agronomists, which are time-consuming and labor-intensive. However, with the increasing demand for rapid and high-throughput testing in tea plants traits, digital breeding and smart cultivation of tea plants rely heavily on precise plant phenotypic trait measurement techniques, among which hyperspectral imaging (HSI) technology stands out for its ability to provide real-time and rich-information. In this paper, we provide a comprehensive overview of the principles of hyperspectral imaging technology, the processing methods of cubic data, and relevant algorithms in tea plant phenomics, reviewing the progress of applying hyperspectral imaging technology to obtain information on tea plant phenotypes, growth conditions, and quality indicators under environmental stress. Lastly, we discuss the challenges faced by HSI technology in the detection of tea plant phenotypic traits from different perspectives, propose possible solutions, and envision the potential development prospects of HSI technology in the digital breeding and smart cultivation of tea plants. This review aims to provide theoretical and technical support for the application of HSI technology in detecting tea plant phenotypic information, further promoting the trend of developing high quality and high yield tea leaves. [ABSTRACT FROM AUTHOR]

Environmental, Social, and Governance (ESG) reports have become essential tools for enterprises to showcase their commitment to sustainable development and social responsibility. However, discrepancies persist regarding the criteria, assessments, and ratings disclosed in these reports. Moreover, there is a need for more objective methods to determine the weight distribution of indicator items. This study introduces a novel approach utilizing semantic variables in fuzzy theory and a multiple logic fuzzy inference system to develop an ESG environmental management performance assessment model. Therefore, this paper aims to develop a novel approach utilizing semantic variables and a multiple logic fuzzy inference system to quantitatively evaluate the sustainable performance of an environmental management plan. This research also aims to ensure fair and objective assessment outcomes, providing valuable guidance for enterprises in implementing performance management strategies. Key aspects investigated include the impact of membership functions, the extended utilization of semantic variables and logical rules, a comparative analysis of traditional weight assessments, and the limitations of applying fuzzy theory. Through comprehensive discussions and calculations, it is evident that fuzzy theory offers considerable flexibility in application. By tailoring fuzzy rules and selecting appropriate membership functions, diverse application scenarios can be accommodated. The Fuzzy systems evaluation and scoring EMP model generates EMP evaluation scores ranging from 1.76 to 8.29 for Gaussian membership, 1.80 to 8.19 for Triangular membership-A, 1.92 to 8.00 for Triangular membership-B, and 1.81 to 8.19 for Quadrilateral trapezoidal membership, based on simulated rating scenarios using the semantic variables of completeness and feasibility. This approach successfully incorporates distribution logic from subjective membership degrees to evaluate EMP scores. The findings demonstrate that fuzzy theory enables the consideration of multiple factors and facilitates the provision of objective-level membership, underscoring its potential in addressing complex evaluation challenges. This study illuminates the versatility of the fuzzy system theory, with its applications poised to extend across various domains. [ABSTRACT FROM AUTHOR]

Determinants of farmer well-being can be derived from objective and subjective measures of social components, environmental sustainability indicators, and quality of life indices, as well as the multiple scales that farms and farmers operate. Yet, despite multiple frameworks on farmer well-being, the extent to which farmer-expressed values are used in the development of farmer well-being indicators is unclear. Challenges can arise from extracting indicators that are insufficiently grounded in place, or that inadequately incorporate context and biocultural relations and practices. Here in this scoping review, we synthesize the methodologies in the literature on assessing farmer well-being and identify the extent to which farmer well-being domains are derived from values expressed directly by farmers. We consolidated and coded 92 papers to respond to the following questions: (1) What are the most frequent farmer well-being domains in published studies? (2) What methods are used to elicit multidimensional farmer well-being domains? (3) Do well-being domains used in the literature adequately reflect a biocultural context, including place-based influences on well-being? Our results show that economics and social relationships are frequent domains of how farmer well-being is identified and assessed. These domains tend to be measured simultaneously, while less common domains, such as governance and place, are rather isolated. A suite of methods was used to assess well-being domains, ranging from basic surveys to in-depth participant observation. Yet, we identify gaps in the methods for deriving farmer well-being indicators. Specifically, methods that refer to farmer-expressed values were rare and domains identified through a place-based approach were often not recorded, but, arguably, critical in developing multidimensionality of farmer well-being. We show that while the translocal approach is well represented in established well-being frameworks, farmer expression is not foundational in well-being assessments but is needed in order to center farmer values when generating indicators of well-being. [ABSTRACT FROM AUTHOR]

Purpose: The transition to a circular agri-food sector is a necessary condition for the sustainable development of the current production and consumption model. The complexity of the agri-food chain requires the introduction of a harmonized measurement system so that the circular economy can be applied. This study aims to define a life cycle-based dashboard to systematize and test cross-sectional life cycle-based (LCB) indicators to evaluate their applicability. Methods: The study is based on previous research to systematize cross-sectional LCB indicators, for the circular agri-food sector, classified according to the spatial dimensions (macro, meso, micro), areas of sustainability (economic, social, environmental), and scope within which the indicators are applied. The indicators were tested through a multiple compared analysis at the national and regional level, including a company case study (within the same region). Data were collected through two different methodologies based on the spatial dimension analysed. At the macro level, data were collected from databases and reports. At the micro level, a semi-structured interview with the owner of the company was conducted. For the analyses, data from different years were considered to compare results and to outline micro-trends. Result and discussion: The work made it possible to outline two types of results. The first derives from the application of the indicators to the spatial dimensions; the second expresses the potential application of the LCB-dashboard by the cross-sectional LCB indicators. The results of the work highlight the ability of cross-sectional indicators to provide a first comprehensive overview of the circularity of the agri-food sector concerning each level of observation. The study also allowed the applicability of LCB cross-sectional indicators to be tested. This suggests the need to introduce a harmonized detection system, between the national and regional accounting systems, obtaining consistent indicators that facilitate the comparison of results over time. Conclusions: The research showed the validity of the use of the cross-sectional LCB indicators, contributing to the discussion on CE indicators in the agri-food sector. The work supports the definition of new cross-sectional indicators and the new data collection model. For companies, the results encourage the development of monitoring models based on the LCB-dashboard. The paper has highlighted the limits and future steps of the measuring indicator system for the circularity of the agri-food sector. [ABSTRACT FROM AUTHOR]

This paper investigates how the environmental performance of firms impacts their participation in global value chains (GVC). The analysis is based on a dataset of 15,922 firms located in 32 European, Central Asian, Middle Eastern, and North African countries, with information on firm-level environmental practices provided by the recent Green Economy module of the World Bank Enterprise Surveys. We propose the Firm Environmental Performance Index (FEPI), a new index measuring firms' adoption of environmental actions. The index is used in a two-part instrumental variable approach to estimate the impact of FEPI on both the probability and the intensity of GVC participation, while addressing reverse causality concerns. The results indicate that a one-standard deviation increase in the FEPI increases the probability of participation by 6.4 percentage points, a result consistently observed in all regions and sectors. The effects on the intensity of participation are mostly non-significant. However, a negative effect is observed in exceptional cases, namely for firms that are importers only, have low-technology practices, and are located in less developed regions. The results are robust to alternative definitions of GVC participation, inclusion of alternative instruments, and to partial violations of the exclusion restriction. All in all, they suggest that complying with environmental regulations could lead to higher integration in global markets, albeit with adverse effects in some particular cases. [ABSTRACT FROM AUTHOR]

The view of political achievements suggests that officials will prefer to implement measures that benefit their own development in order to seek promotions. In the past, GDP weighed heavily in officials' appraisals, leading them to develop the economy without regard to sustainability. Now that the central government has incorporated environmental indicators into the officials' appraisal system, will this lead officials to implement sustainable development strategies to the fullest extent? Are there spillover effects and regional heterogeneity in this role? This paper discusses these questions with the help of entropy method and a spatial Durbin model using data of 30 provincial-level regions in China from 2006 to 2016. The conclusions show that, firstly, the officials' competitive pressure is beneficial to enhance the sustainable development capacity of the province, but this effect is only effective in western China. Secondly, there is no spillover effect of officials' competitive pressure on sustainable development capacity; thirdly, foreign direct investment, the proportion of state-owned enterprises and environmental regulations have their own unique effects on sustainable development capacity, and there are spillover effects. Based on these findings, this paper proposes corresponding policy recommendations in terms of officials' appraisal system, talent training, foreign investment introduction, and state-owned enterprise reform. [ABSTRACT FROM AUTHOR]

Bidirectional vortex combustors are among the most efficient devices in terms of pollutants emission, fuel residence time, an extended range of stable operation. Despite many papers devoted to flow structure in the bidirectional chamber, their heat transfer and wall temperature distributions are not well-studied experimentally as well as most available calculation results are based on adiabatic or isothermal wall conditions. The present paper reports on new experimental and numerical results on flow and flame structures and surface temperature distributions obtained for a combustor with a toroidal vortex chamber. These results show a strong effect of the combustor operation mode and geometry configuration on its thermal conditions. Based on experimental validation, a reliable numerical approach for fluid dynamics, combustion, and heat transfer simulations in the bidirectional vortex chamber is suggested. This approach could assist in determining the most efficient parameters of the bidirectional combustor in terms of energy and environmental indicators as well as wall thermal conditions and service life. [ABSTRACT FROM AUTHOR]

Bound states in the continuum (BICs) have received considerable attention in the field of nanophotonics due to their highly confined resonance and high Q factor, which effectively eliminates radiation loss. Various periodic structures have been studied to achieve BICs, with photonic crystal slabs (PCSs) being a prominent example. In PCS, multiple BICs can be merged to strongly suppress out-of-plane-scattering losses caused by fabrication imperfections. In this paper, we investigate the impact of reflection-type merging BICs on the Goos–Hänchen shift (GH shift) and demonstrate a remarkable enhancement of the GH shift, exceeding five orders of wavelength. We show the dynamic changes of the GH shifts with the isolated, merging, and merged BICs, achieving positive and negative GH shifts in different angles of peak reflectance for the same frequency. Our research highlights that even minor fabrication imperfections can result in a significant change in the GH shift, which can serve as a means for detecting manufacturing defects. Furthermore, we propose an ultrasensitive environmental refractive index sensor based on the enhanced GH shift by an isolated BIC. Our study contributes to the understanding of BICs and their potential applications in nanophotonics, including advanced optical communication devices, nanodevice fabrication, and highly sensitive sensors. [ABSTRACT FROM AUTHOR]

As a pillar of United Nations, the Kingdom of Saudi Arabia pursues to greener its economy and achieve the Sustainable Development Goals of the 2030 Agenda. The green economy represents a catalyzer for sustainable development in its three dimensions -economic, social and environmental- aiming to improve human well-being and social equity and reduce environmental risks. However, the relevant previous studies lacked the role of green economy on sustainable development for the Saudi Arabia. For this purpose, this paper aims to explore how green is the kingdom and analyze its performance toward sustainable development from 2015 to 2020. To do so, we adopt the EEPSE Green Economy Index that combines educational, economic, political, societal and environmental indicators associated with the pillars of the Quintuple Helix Innovation Model. In this study, this index is composed of 42 indicators related to the green economy and the sustainable development. The empirical results suggest that the Saudi Arabia witnessed a significant progress of EEPSE GEI score. In addition, the findings support that the performance of the kingdom regarding the green economy is affected after the COVID-19 crisis. Thus, the paper provides original visions for policy makers to encourage the transition to green economy which constitutes the main locomotive to attain the economic, social and environment sustainability for the kingdom. [ABSTRACT FROM AUTHOR]

Environmental product declarations (EPD) to EN 15804 provide information about the embodied carbon dioxide of construction products – their life cycle greenhouse gas emissions – alongside reporting the use of renewable and non-renewable primary energy and secondary fuels, among the other environmental indicators. As the number of EPD to EN 15804 increases, they become a useful data resource to consider these impacts. In moving towards a reduction in the embodied carbon of products, it is necessary to use renewable energy resources efficiently to allow the transition to net zero; this is because of the increasing demands on renewable energy to decarbonise industry, transport and domestic energy consumption and the limited capacity to expand renewable generation. This paper reviews published EPD data for structural and reinforcing steels, cement, bricks and structural timber products, and considers, for the cradle to gate 'product' life cycle stage, exploring the relationship of embodied carbon with embodied energy (total energy used), the balance of renewable and non-renewable energy, and the efficient use of energy. It is found, for bricks and timber, that EPD show products that use a greater percentage of renewable energy have higher embodied energy, suggesting a less efficient use of renewable energy for these products. [ABSTRACT FROM AUTHOR]

Urban poverty is a complex phenomenon and people experiencing poverty suffer from various deprivations. Multidimensional poverty measurement has been one of the best indicators of this deprivation. In general, slum dwellers are considered homogenous groups, but it is not valid in multidimensional deprivation. This paper aims to find out the correlates of multidimensional poverty in slums. Spatiality and correlates of poverty in Varanasi City have been tapped using statistical modelling. The paper is based on primary data collected from 384 households through an interview schedule from 12 slums across three geographical zones of the city. The MPI index for slums, based on global MPI, was used to compute MPI for each geographical zone. Further ANOVA and hierarchical regression analysis were performed to find spatiality and correlates of multidimensional deprivation. The paper reveals that socio-religious categories, occupation and geographical location are significant determinants or at least correlates of multidimensional poverty in slums. [ABSTRACT FROM AUTHOR]

Establishing infrastructure that effectively coordinates social, economic, and environmental growth is crucial to sustainable development. This study aims to identify the current research trends for sustainable and resilient infrastructure in terms of years, classify the various types, research methods, and indicators of infrastructure projects, and compile an overview of indicators from the existing literature. The results are anticipated to contribute to the current knowledge body about sustainable and resilient infrastructure project development by highlighting recurrent themes and emerging trends in the field. This research applied the PRISMA strategy, which incorporates bibliometrics and visualisation tools, to analyse the 442 bibliographic papers published in databases on the topic between 2005 and 2022. According to the findings, the amount of research conducted increased between 2018 and 2021, with China and Europe being the most significant contributors. The total of 105 articles was selected, covering various infrastructural types and approaches. The examination led to the extraction of four sustainable infrastructure indicators: environmental, economic, social and resilient. This study provided valuable data on the latest research trends and indicators for designing sustainable and resilient infrastructure projects which will assist future research. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to compare the sustainability dimensions reported on the websites of public and private universities in Ghana, an emerging economy. Design/methodology/approach: The universities in Ghana were categorized under public and private universities. The top five under each category were chosen (by Edu Rank's ratings), and data was gathered from the websites of the sampled universities. Data analysis was conducted using Global Reporting Initiative (GRI-G4) framework and sustainability tools for campus assessment. Findings were then analyzed through stakeholder theory's lens and organizational characteristics such as ownership, students' acceptance ratios, performance, size and age. Findings: This study's results show that the key aspects of sustainability disclosed on the websites of the sampled private and public universities in Ghana are more of economic and campus sustainability assessment indicators than the social and environmental dimensions. Contrary to the popular notion that private sector organizations do more sustainability reporting than those in the public sector, in the case of Ghana, the sampled public universities reported more than the privately owned universities. This study attributes the extent and variations of sustainability reporting among the public and private Ghanaian universities to the universities' characteristics such as students' acceptance ratios, performance, size, ownership and age. Practical implications: The findings from this study indicate that in improving the value of sustainability reporting, stakeholders of the educational sector in emerging economies should encourage universities to adopt the GRI-G4 framework and campus sustainability assessment indicators in disclosing their sustainability initiatives. Originality/value: To the best of the author's knowledge, this paper is the first study to compare the extent and variations in sustainability reporting between public and private universities in an emerging economy. [ABSTRACT FROM AUTHOR]

Thirty years ago, Wall published "Exergy Ecology Democracy - Concepts of a vital society or a proposal for an exergy tax". This paper discusses this milestone contribution by Wall. It has traced a path toward economic, environmental and societal sustainability and proposed exergy as a robust indicator for measuring progress. This paper is divided into two parts. The first focuses on better understanding Wall's role in today's scenario. This second part presents different methods that allow using exergy to assess the sustainability of economic, industrial and societal processes. First, it presents an example showing the inadequacy of domestic material consumption (DMC) in evaluating the sustainability of import-export operations. Second, how exergy can apply to increase the significance of DMC has been discussed. A new indicator that allows coupling with DMC has been defined to improve the information delivered by DMC and make it a more effective sustainability indicator. Third, some ecological indicators are discussed. The use of exergy to integrate DMC and assess lifecycle and polluting emissions into the environment has been discussed. Finally, an effective exergy tax proposal is presented as an instrument for stimulating an effective transitionward sustainability of consumption and people's habits. [ABSTRACT FROM AUTHOR]