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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]

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]

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]

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]

Globally, G20 has been recognised as a catalyst in building environmentally sustainable growth and promoting energy transitions towards more flexible, transparent and cleaner energy systems through sustainability reporting practices. Sustainability reporting practices, an umbrella of Environment, Social and Governance (ESG) reporting practices review a specific set of criteria that evaluate a business on how effectively implements ESG projects and the impacts its factors have had on the business towards sustainable growth. By burning fossil fuels and emitting greenhouse gases, the power sector companies are more directly contributing to the global energy transition. For the net-zero transition, it is crucial to concentrate on sustainability and incorporate ESG reporting practices. The purpose of this study is to analyse the reporting practices of ESG indicators by 10 listed power sector companies; that have high market capitalisation operated in India. Sustainability, ESG and annual reports of selected companies are taken for five years spreading from the year 2017-2018 to 2021-2022. The presence of ESG indicators in power sectors is measured by Business Responsibility and Sustainability Report framework issued by SEBI guidelines. Descriptive cum exploratory research methods are used to analyse the ESG indicators in reporting practices of power sector companies. The finding of the analysis shows that all the sample power sector companies are disclosing ESG indicators and National Voluntary Guidelines in their sustainability reporting. The paper found that all the sample companies are disclosing the social indicators, more than the environmental and governance indicators in the sustainability report by top 10 power sector companies listed in NSE. Irrespective of ownership of companies, discloser of sustainable reports remains persistent over the years. [ABSTRACT FROM AUTHOR]

The subject of this study is sustainable development accounting, particularly its role in shaping environmental and social indicators of enterprises. The paper pays special attention to the issue of insufficient integration of environmental and social aspects into conventional financial accounting. It identifies the need to devise methodologies that include social and ecological indicators in financial reporting, to provide a more comprehensive understanding of the impact of enterprise activities on society and the environment. The results demonstrate that the implementation of sustainable development accounting allows for a comprehensive assessment of the financial, social, and environmental impact of the enterprise. Analysis of sources proves that enterprises that use this approach have better opportunities for risk forecasting and resource management, which increases their competitiveness and responsibility to society. The interpretation of the results emphasizes that the success of sustainable development accounting is conditioned by the ability to integrate comprehensive data about the impact of enterprise activities on the environment and society into the general management system. Such integration allows enterprises not only to meet regulatory requirements but also to enhance their overall value and image. The features and distinctive characteristics of the results are that they enable companies to conduct more transparent and responsible business. The implementation of sustainable development accounting systems gives enterprises the ability not only to reduce the negative impact on the environment but also to effectively engage resources to address social issues. The domain of practical application of the results extends to corporate governance, socially responsible business, investment analysis, and environmental assessment. It includes internal and external regulation, stakeholder requirements, and strategic planning at enterprises [ABSTRACT FROM AUTHOR]

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The sustainable urban design of residential neighborhoods plays an important role in the efforts to achieve the sustainable development goals and alleviate the effects of climate change. This paper aims to develop a model for the sustainable urban design of residential neighborhoods, taking into account the local condition in Palestinian territories. This model is built on various international neighborhood sustainability assessment (NSA) tools, based on the review of existing assessment tools, to study the sustainability status of Palestinian neighborhoods, and to develop a sustainable indicator model for local sustainable neighborhood assessment. Computer tools like Urbano and GIS tools as well as qualitative assessment methods are used. Results from the case study showed that the satisfaction of the preferred location indicator was not sufficient to maintain its sustainability. The assessment of measured indicators found that weaknesses were almost double the count of the satisfactory indicator. Moreover, some indicators from the (NSA) tools were partially or completely met, and some gaps appeared because of the lack of strengths in the selected indicators of the international tools when used for local social, ecological and governmental aspects, and there are issues in the inclusion of economic and environmental elements in current urban configurations. The proposed local model offers valuable insights for local governments, municipalities, and construction developers. [ABSTRACT FROM AUTHOR]

This paper presents the first integrated techno-economic and life cycle assessment of microemulsion systems being applied for rhodium-catalyzed hydroformylation of long-chain alkenes at industrial scale. The case study describes a projected 150 kt/a production of tridecanal (US gulf coast, 2019). The industrial success of the hydroformylation of short-chain alkenes lies in the continuous recycling of the rhodium-containing water phase. Microemulsion systems can be applied to transfer this concept to long-chain alkenes by overcoming the miscibility gap between the aqueous catalyst phase and the unipolar alkene phase and, moreover, by generating a temperature-induced multi-phase system enabling the immobilization of the catalyst and its continuous recycling, as demonstrated in miniplant operations with dodecene and rhodium/SulfoXantPhos. Customizable simulation models have been developed for scale-up and assessment of the miniplant data. Surprisingly, a profitability-driven sensitivity study indicates a base case optimum at low residence time with low alkene conversion leading to large throughput streams and high raw material purge rates. The comparison to the industrial cobalt-based benchmark system shows an economic advantage regarding net present value (Rh: 68 M$; Co: 62 M$), while about half of the environmental indicators are in favor or equivalent. In a best-case scenario considering zero leaching of expensive rhodium the net present value increases by almost 40% accompanied by a shift to overall lower environmental impacts than the benchmark. In conclusion, the investigated miniplant data suggest microemulsion systems to be competitive when applied in continuous processes at a large scale. [ABSTRACT FROM AUTHOR]

As an innovative financial instrument, green credit is a new driving force for environmental governance. To study the impact of green credit on environmental quality, this paper uses the provincial panel data from 2007 to 2020 to construct a panel model for analysis based on the comprehensive environmental quality index. At the same time, it discusses the mechanism and regional heterogeneity of green credit affecting environmental quality. The results show that green credit significantly improves the overall quality of the environment, which has a significant effect on air quality and green quality but has no significant impact on water quality and soil quality. Green credit improves environmental quality by improving green technology innovation and promoting industrial structure upgrading. At the same time, there is obvious heterogeneity in the environmental effect of green credit. Among them, the environmental quality improvement effect of the eastern region and the carbon emission pilot area is more evident than that of the central and western regions and the non-carbon emission pilot area. This paper has important implications for promoting the development of green credit and giving full play to the environmental effects of green credit to achieve sustainable goals. [ABSTRACT FROM AUTHOR]

This research conducts an analysis of the sustainability of urban agriculture in Shanghai over the period 2010 to 2020, employing the Triple Bottom Line (TBL) concept as a framework to evaluate sustainability across economic, environmental, and social dimensions through the formulation and application of a comprehensive indicator system. Utilizing the Delphi method alongside the Analytic Hierarchy Process (AHP) for determining indicators and their respective weights, this study adopts a methodologically rigorous approach to analysis. The findings reveal an overall enhancement in agricultural sustainability, albeit accompanied by a decline in economic sustainability. Notably, environmental sustainability emerged as a paramount concern, underscoring the essentiality of incorporating environmental indicators within urban agricultural initiatives. The paper addresses significant challenges such as elevated land prices, demographic shifts, and the imperative for more stringent environmental regulations. It advocates for a multidimensional strategy integrating advanced agricultural technologies and cross-sectoral partnerships to bolster sustainability. Furthermore, the study accentuates the necessity of achieving equilibrium among economic feasibility, environmental stewardship, and social equity to pursue sustainable urban agriculture in Shanghai. Additionally, it highlights the critical role of strategic agricultural policy formulation in fostering sectoral resilience and ensuring enduring sustainability. [ABSTRACT FROM AUTHOR]

One of the greatest challenges of our time is monitoring the rapid environmental changes taking place worldwide at both local and global scales. This requires easy-to-use and ready-to-implement tools and services to monitor and quantify aspects of bio- and geodiversity change and the impact of land use intensification using freely available and global remotely sensed data, and to derive remotely sensed indicators. Currently, there are no services for quantifying both raster- and vector-based indicators in a "compact tool". Therefore, the main innovation of ESIS/Imalys is having a remote sensing (RS) tool that allows for RS data processing, data management, and continuous and discrete quantification and derivation of RS indicators in one tool. With the ESIS/Imalys project (Ecosystem Integrity Remote Sensing—Modelling and Service Tool), we try to present environmental indicators on a clearly defined and reproducible basis. The Imalys software library generates the RS indicators and remote sensing products defined for ESIS. This paper provides an overview of the functionality of the Imalys software library. An overview of the technical background of the implementation of the Imalys library, data formats and the user interfaces is given. Examples of RS-based indicators derived using the Imalys tool at pixel level and at zone level (vector level) are presented. Furthermore, the advantages and disadvantages of the Imalys tool are discussed in detail in order to better assess the value of Imalys for users and developers. The applicability of the indicators will be demonstrated through three ecological applications, namely: (1) monitoring landscape diversity, (2) monitoring landscape structure and landscape fragmentation, and (3) monitoring land use intensity and its impact on ecosystem functions. Despite the integration of large amounts of data, Imalys can run on any PC, as the processing and derivation of indicators has been greatly optimised. The Imalys source code is freely available and is hosted and maintained under an open source license. Complete documentation of all methods, functions and derived indicators can be found in the freely available Imalys manual. The user-friendliness of Imalys, despite the integration of a large amount of RS data, makes it another important tool for ecological research, modelling and application for the monitoring and derivation of ecosystem indicators from local to global scale. [ABSTRACT FROM AUTHOR]

The main objective of the presented paper was the analysis of the current state of food security in the world, segmentation of 100 selected countries and determination of its main driving factors. The analysis used 27 indicators covering 5 basic areas: agricultural production, poverty, demography, economic development, and environmental indicators. The analysis was based on data from the FAO and World Bank for the most recent available period, which was year 2020. The data dimension was reduced with the application of factor analysis, and the main driving factors of food sufficiency were determined. The result was 6 factors: technological development, economic development, agricultural production, environmental factor, and physical quality of life and environment. To group similar countries in terms of selected indicators, a cluster analysis was performed, whereby countries were grouped by similarity into three clusters. The 1st cluster consisted of the most economically developed countries, where only 2.54% of the population suffers from malnutrition. The countries in this cluster were characterized by high levels of economic development, high caloric intake of the population, and high, life expectancy. On the other hand, they recorded negative development in demographic indicators such as fertility and birth rates. The 2nd cluster included the poorest areas of the African continent, which were most endangered by direct food insufficiency (23.74% of the population). In contrast to the first cluster, these countries were characterized by low levels of economic development, high prices, and low-calorie intakes of the population, as well as low life expectancy, while on the other hand, these countries had high fertility and birth rates. The third largest cluster consisted of countries with a medium threat of food insufficiency, where 6.37% of the population suffers from malnutrition. The countries in the third cluster excelled in terms of crop and livestock production volumes, but in contrast to this, they achieved lower levels of fat, protein, and calorie intake of population. [ABSTRACT FROM AUTHOR]

The necessity for transitioning to renewable energy sources and the intermittent nature of the natural variables lead to the integration of storage units into these projects. In this research paper, wind turbines and solar modules are combined with pumped hydro storage, batteries, and green hydrogen. Energy management strategies are described for five different scenarios of hybrid renewable energy systems, based on single or hybrid storage technologies. The motivation is driven by grid stability issues and the limited access to fresh water in the Greek islands. A RES-based desalination unit is introduced into the hybrid system for access to low-cost fresh water. The comparison of single and hybrid storage methods, the exploitation of seawater for the simultaneous fulfillment of water for domestic and agricultural purposes, and the evaluation of different energy, economic, and environmental indices are the innovative aspects of this research work. The results show that pumped hydro storage systems can cover the energy and water demand at the minimum possible price, 0.215 EUR/kWh and 1.257 EUR/m3, while hybrid storage technologies provide better results in the loss of load probability, payback period and CO2 emissions. For the pumped hydro–hydrogen hybrid storage system, these values are 21.40%, 10.87 years, and 2297 tn/year, respectively. [ABSTRACT FROM AUTHOR]

Nowadays, roadway infrastructures are designed in order to satisfy technical and economical requirements, as well as to guarantee advanced environmental performance. Focusing on that, this paper deals with an innovative procedure for the characterization of pavement materials, both asphalt and cement-bound mixtures. The methodology takes its cue from a previous study in which the so-called Environmental Asphalt Rating (EAR) was firstly introduced as a reference parameter for asphalt pavements to evaluate technical offers and for the assignment of scores, in terms of environmental impacts, during the tender phase. In this work, the EAR methodology is revised with a focus on the main variations and improvements related to the new version of the ISO standard. By applying the same approach to rigid or concrete pavements, a preliminary version of the Environmental Concrete Rating (ECR) is presented. For ECR, a correction is provided regarding functionality through a fatigue-related parameter and the surface characteristics related to the IRI value. Despite its strong applicability to the pavement sector, the strength of the proposed method is its ability to be fine-tuned to different fields by varying the associated performance coefficients. [ABSTRACT FROM AUTHOR]

High-density urban development is promoted by both global and local policies in response to socio-economic and environmental challenges since it increases mobility of different land uses, decreases the need for traveling, encourages the use of more energy-efficient buildings and modes of transportation, and permits the sharing of scarce urban amenities. It is therefore argued that increased density and mixed-use development are expected to deliver positive outcomes in terms of contributing to three pillars (social, economic, and environmental domains) of sustainability in the subject themes. Territorial quality of life (TQL)—initially proposed by the ESPON Programme—is a composite indicator of the socio-economic and environmental well-being and life satisfaction of individuals living in an area. Understanding the role of urban density in TQL can provide an important input for urban planning debates addressing whether compact development can be promoted by referring to potential efficiencies in high-density, mixed land use and sustainable transport provisions. Alternatively, low-density suburban development is preferable due to its benefits of high per capita land use consumption (larger houses) for individual households given lower land prices. There is little empirical evidence on how TQL is shaped by high-density versus low-density urban forms. This paper investigates this topic through providing an approach to spatially map and examine the relationship between TQL, residential expansion, and densification processes in the so-called NUTS2 (nomenclature of terrestrial units for statistics) regions of European Union (EU) member countries. The relative importance of each TQL indicator was determined through the entropy weight method, where these indicators were aggregated through using the subject weights to obtain the overall TQL indicator. The spatial dynamics of TQL were examined and its relationship with residential expansion and densification processes was analysed to uncover whether the former or the latter process is positively associated with the TQL indicator within our study area. From our regression models, the residential expansion index is negatively related to the TQL indicator, implying that high levels of residential expansion can result in a reduction in overall quality of life in the regions if they are not supported by associated infrastructure and facility investments. [ABSTRACT FROM AUTHOR]

This research paper analyzes consumer expectations and priorities concerning environmental indicators within the food industry. The study's overall objective was to understand the importance of various environmental indicators on consumer purchasing decisions. A survey was conducted in Poland, utilizing a representative sample to measure participants' opinions. Respondents were asked to assess the importance of various environmental indicators in influencing their purchasing choices. The findings underscore a high demand among Polish consumers for environmental responsibility from companies operating in the food sector. Key indicators include the effectiveness of environmental management systems, pro-environmental investments, the promotion of environmental awareness, waste management, water conservation, and attention to supply chain and wastewater issues. This study provides a comprehensive understanding of consumer preferences, offering guidance for industry stakeholders and policymakers seeking to enhance sustainability practices and align their efforts with consumer expectations in the dynamic landscape of the food sector. [ABSTRACT FROM AUTHOR]

Plankton organisms are fundamental components of the earth's ecosystem. Zooplankton feeds on phytoplankton and is predated by fish and other aquatic animals, being at the core of the aquatic food chain. On the other hand, Phytoplankton has a crucial role in climate regulation, has produced almost 50% of the total oxygen in the atmosphere and it's responsible for fixing around a quarter of the total earth's carbon dioxide. Importantly, plankton can be regarded as a good indicator of environmental perturbations, as it can react to even slight environmental changes with corresponding modifications in morphology and behavior. At a population level, the biodiversity and the concentration of individuals of specific species may shift dramatically due to environmental changes. Thus, in this paper, we propose an anomaly detection-based framework to recognize heavy morphological changes in phytoplankton at a population level, starting from images acquired in situ. Given that an initial annotated dataset is available, we propose to build a parallel architecture training one anomaly detection algorithm for each available class on top of deep features extracted by a pre-trained Vision Transformer, further reduced in dimensionality with PCA. We later define global anomalies, corresponding to samples rejected by all the trained detectors, proposing to empirically identify a threshold based on global anomaly count over time as an indicator that can be used by field experts and institutions to investigate potential environmental perturbations. We use two publicly available datasets (WHOI22 and WHOI40) of grayscale microscopic images of phytoplankton collected with the Imaging FlowCytobot acquisition system to test the proposed approach, obtaining high performances in detecting both in-class and out-of-class samples. Finally, we build a dataset of 15 classes acquired by the WHOI across four years, showing that the proposed approach's ability to identify anomalies is preserved when tested on images of the same classes acquired across a timespan of years. [ABSTRACT FROM AUTHOR]

The need of undertaking effective actions against the climate change is pushing industrial companies to find new business models and technological solutions to reduce the resource utilization and the waste production. In this context, several companies are moving towards servitization, that has been proved as a promising strategy to enable sustainable business models in a wide spectrum, namely encompassing environmental, economic and social aspects. Nevertheless, companies lacks of tools for evaluating different servitization models with a clear view of economic and environmental benefits. This paper presents a model to estimate the profitability of servitization opportunities by combining economic Net Present Value index and environmental impacts estimation. The model is targeted on the steel sector, for which a preliminary application has been developed and is discussed in the paper. The results show that adopting different servitization business models, several benefits could be exploited both from providers and customers. [ABSTRACT FROM AUTHOR]

The main purpose of the paper is to highlight the impact of foliar fertilization during the various growth stages of winter wheat and its role in achieving high-quality and superior production. Foliar fertilizers play a crucial role in calibrating and forming active growth intervals correlated with productivity factors. The research was conducted over a two-year period using the Andrada winter wheat variety. It involved the application of four different foliar fertilizers: basic mineral fertilization, FoliMAX Orange (two treatments and three treatments), FoliMAX CerealsMIX (two treatments and three treatments), and Microfert U (three treatments). Depending on the treatment, two or three applications of foliar with foliar fertilizers were carried out at various stages of winter wheat development, including pre-flowering and grain formation. The research method used to record physiological parameters was non-destructive (the leaves were not detached from the plant) and was based on the use of the CIRAS-3 foliar gas analyzer, which simultaneously determines several physiological and environmental indicators. As an indicator read by the device, photosynthesis was chosen for leaf temperature and leaf transpiration, correlated with production and quality indices. By applying the foliar fertilizer treatments to the wheat culture, we managed to increase production and improve the quality. After using different foliar fertilizers, the assimilation and physiological parameters had higher values of over 30 μmolm−2·s−1. Foliar fertilization applied to the winter wheat variety resulted in an average production increase between 450 and 765 kg·ha−1 and quality indices with a protein percentage between 11.5 and 12.6%, gluten content between 21.5 to 24.0% and the Zeleny index between 29.0 and 39.0%, and the mass of one thousand grains was between 48.0 and 50.5 g. [ABSTRACT FROM AUTHOR]

Power Electronics (PE) is pivotal in fostering renewable energy. However, focusing on usage efficiency shifts environmental impacts across its life cycle, leading to excessive resource extraction and waste accumulation. Integrating environmental impact indicators in PE development is crucial for informed design decisions. Nevertheless, the current literature lacks the provision of adequate understanding of the PE product development process for successful ecodesign in PE industry. To effectively tackle the industrial integration aspect of ecodesign that enable functional and system innovation, this study employs empirical research, combining literature analysis with in-depth interviews with PE designers. Requirements for an ecodesign support to integrate ecodesign practices into the Product Development Process (PDP) of PCB-based Power Electronic Components (PECs) is proposed in this paper based on the interview results. These specifications are delineating the necessary working and decision- making steps. Subsequently, a parameterized Functional Block-based Life Cycle Analysis (FB-LCA) model is proposed under the requirement. A five-step methodology is proposed to operationalise the implementation of the FB-LCA model, aiming to supporting the definition of functional structure, configuration of technical solutions and choice of hardware components by considering environmental impacts generated all along life cycle, from manufacturing, transport, use, circularity scenario, end-of-life .The case study of a PCB-based boost converter design is conducted in collaboration with a PE engineer to test the practical implementation of FB-LCA model. [ABSTRACT FROM AUTHOR]

In this paper we present a framework to aid in the selection of optimal environmental indicators for detecting and mapping extreme events and analyzing trends in heatwaves, meteorological and hydrological droughts, floods, and their compound occurrence. The framework uses temperature, precipitation, river discharge, and derived climate indices to characterize the spatial distribution of hazard intensity, frequency, duration, co-occurrence, and dependence. The relevant climate indices applied are Standardized Precipitation Index, Standardized Precipitation and Evapotranspiration Index (SPEI), Standardized Streamflow Index, heatwave indices based on fixed (HWI S ) and anomalous temperatures (HWI E ), and Daily Flood Index (DFI). We selected suitable environmental indicators and corresponding thresholds for each hazard based on estimated extreme event detection performance using receiver operating characteristics (ROC), area under curve (AUC), and accuracy, which is defined as the proportion of correct detections. We assessed compound hazard dependence using a Likelihood Multiplication Factor (LMF). We tested the framework for the case of Sweden, using daily data for the period 1922–2021. The ROC results showed that HWI S , SPEI12 and DFI are suitable indices for representing heatwaves, droughts, and floods, respectively (AUC > 0.83). Application of these indices revealed increasing heatwave and flood occurrence in large areas of Sweden, but no significant change trend for droughts. Hotspots with LMF > 1, mostly concentrated in Northern Sweden from June to August, indicated that compound drought-heatwave and drought-flood events are positively correlated in those areas, which can exacerbate their impacts. The novel framework presented here adds to existing hydroclimatic hazard research by (1) using local data and historical records of extremes to validate indicator-based hazard hotspots, (2) evaluating compound hazards at regional scale, (3) being transferable and streamlined, (4) attaining satisfactory performance for indicator-based hazard detection as demonstrated by the ROC method, and (5) being generalizable to various hazard types. [ABSTRACT FROM AUTHOR]

Despite the global economic and environmental importance of the leather industry, the specialized literature still presents an important gap in analyzing the environmental performance of the leather manufacturing process from the waste generated. This paper aims to propose an unprecedented index (Index of Leather Manufacturing - ILM) to evaluate the environmental performance of leather manufacturing processes. The development of the index combines Life Cycle Assessment (LCA) and a Multicriteria Decision Method (MCDM) and is oriented to consider the impact of waste on environmental health. Its estimate is based on: the calculation of the environmental potential impact of the waste; the waste quantity produced by the company over a given period; the relative geographic coverage that each waste can achieve; the assessment of the appropriateness of the disposal of waste generated by the firm. The proposed index was tested on a large Brazilian leather manufacturer. The results showed that the waste management in the company is not perfect but is well rated, and residues with the greatest environmental impact are: wetblue shavings, wetblue sawdust, and gaseous emissions from beam house operation. [ABSTRACT FROM AUTHOR]

Scientific tools capable of identifying distribution patterns of species are important as they contribute to improve knowledge about biodiversity and species dynamics. The present study aims to estimate the spatiotemporal distribution of sardine (Sardina pilchardus, Walbaum 1792) in the Portuguese continental waters, relating the spatiotemporal variability of biomass index with the environmental conditions. Acoustic data was collected during Portuguese spring acoustic surveys (PELAGO) over a total of 16,370 hauls from 2000 to 2020 (gap in 2012). We propose a spatiotemporal species distribution model that relies on a two-part model for species presence and biomass under presence, such that the biomass process is defined as the product of these two processes. Environmental information is incorporated with time lags, allowing a set of lags with associated weights to be suggested for each explanatory variable. This approach makes the model more complete and realistic, capable of reducing prediction bias and mitigating outliers in covariates caused by extreme events. In addition, based on the posterior predictive distributions obtained, we propose a method of classifying the occupancy areas by the target species within the study region. This classification provides a quite helpful tool for decision makers aiming at marine sustainability and conservation. Supplementary materials accompanying this paper appear on-line. [ABSTRACT FROM AUTHOR]

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This paper examines the relationship between corporate purpose and disaster response. To that aim, we use a unique dataset generated by Just Capital's COVID‐19 response tracker that characterizes the early responses of 928 companies included in the Russell 1000 Index generated by the COVID‐19 pandemic. We marry this data to the Business Roundtable Statement on the Purpose of a Corporation (BRT‐CPS) signatories list, which includes 210 firms that declared "a fundamental commitment to all stakeholders" as their corporate purpose. We estimate the differential impact of BRT‐CPS signees on the rest. After controlling our results with financial indicators and environmental, social, and governance (ESG) data, we convey that BRT‐CPS signees were more likely to develop strategies that benefited their surrounding communities and other stakeholders. Moreover, corporations with high ESG were less likely to have an early response that directly benefited stakeholders other than shareholders, except for layoffs and unpaid leave. Finally, we discuss the outcomes considering the symbolic management theory, corporate purpose literature, and its relation to stakeholder management. [ABSTRACT FROM AUTHOR]

This study focuses on the relationship between economic growth and environmental degradation, by testing the Environmental Kuznets Curve hypothesis in Vietnam, a main export‐oriented country that features a long period of economic growth. The main originality of this work is that, unlike previous studies, it uses ecological footprint as the main indicator for environmental degradation. This allows to reconsider the results from previous studies that only focus on CO2 emissions performances. The cointegration between the analysed variables is investigated using the autoregressive distributed lag (ARDL) approach. To determine the parameters of the Environmental Kuznets Curve in the sample, this work additionally analyses long‐ and short‐run estimations. The paper shows that the EKC hypothesis holds in the long term for Vietnam when using ecological footprint. Nevertheless, it also shows that not only growth but also primary energy consumption contributes to increased environmental destruction. An active ecological policy and the decrease of fossil energy use seem necessary to allow Vietnam to keep a high level of economic growth and reduce environmental degradation. [ABSTRACT FROM AUTHOR]

This paper is the first comprehensive research to examine the effect of circular economy on environment employing two environmental degradation indicators (CO2 emissions, ecological footprint) and one environmental quality indicator (load capacity factor) for 57 Belt and Road Initiative (BRI) countries during 2000–2019. The effect of other variables such as renewable energy, industrialization, and globalization was also controlled. The study applied the cross-sectional autoregressive distributed lag method (CS-ARDL), the augmented mean group (AMG), and common correlated effects mean group (CCEMG) methods as a robustness checks. The empirical findings reveal that circular economy and renewable energy have pro-environmental effects by decreasing carbon emissions and ecological footprint and increasing the load capacity factor in BRI countries. However, industrialization and globalization have detrimental effects on the environment. The result of causality shows a bidirectional causality between renewable energy, circular economy, industrialization, and three environmental indicators, but the relationship of globalization with CO2 emissions and the load capacity factor is unidirectional and with the ecological footprint is bidirectional. All the results are confirmed by the robustness tests. The study suggests policy implications for the BRI government. [ABSTRACT FROM AUTHOR]

The sustainable development in pharmaceutical industries relies on the selection and integration of detailed, unified metrics and indicators. This is particularly important when addressing environmental hotspots, with assessments ideally conducted early in process development. Facing the challenge of data availability, data acquisition, or data accuracy, we propose a simple and standardized procedure to assess and report the environmental footprints of linear and convergent chemical processes. The output focuses on data representation and decision taking making it easier to communicate in cross-functional environments. [ABSTRACT FROM AUTHOR]

There is a growing tendency to assess resilience and sustainability of critical infrastructures (CI), given the significant increment in high-impact natural hazard events affecting socio-economic welfare. Historically, these assessments have been conducted separately due to the independent evolution of each concept. However, recent contributions tend to integrate them. This paper provides a state-of-the-art review of integrated assessments for resilience and sustainability in CI, examining concepts, indicators, frameworks, and methodologies. Additionally, a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis was performed to gain further insights into the prospects of integrated assessments. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, eligibility criteria were established, leading to the selection of twelve studies. These works were compared based on five dimensions (economic, environmental, social, technical, and governance) to highlight the differences in the indicators used. While all studies considered the social, environmental, and economic dimensions, some did not further analyze sufficient indicators to evaluate environmental and social effects, with governance often neglected. This study emphasizes the relevance of establishing common metrics for a convergent frame for the resilience and sustainability assessment. The findings presented suggest that integrated assessments lead to a more strategic use of resources toward more resilient CI. [ABSTRACT FROM AUTHOR]

Purpose: Potentially contradictory indicators in Life Cycle Assessment cause ambiguity and thus uncertainty regarding the interpretation of results. The weighting-based ecological scarcity method (ESM) aims at reducing interpretation uncertainty by applying policy-based normative target values. However, the definition of these target values is uncertain due to different reasons such as questionable temporal representativeness. By means of an uncertainty analysis, this paper examines if ESMs are an appropriate approach to support robust decisions on multidimensional environmental impacts. Methods: To assess the effect of uncertain target values (inputs) on environmental indicators (output), the ESM based Life Cycle Impact Assessment (LCIA) is combined with a Monte Carlo Analysis. The comprehensive uncertainty analysis includes the following steps: (1) sample generation, (2) output calculation and (3) results analysis and visualisation. (1) To generate a sample, moderate and strict limits for target values are derived from laws, directives or strategies. Random input parameters are drawn from a uniform distribution within those limits. (2) The sample is used to conduct several LCIAs leading to a distribution of total impact scores. (3) The results' robustness is evaluated by means of the rank acceptability index to identify stable ranks for energy generation systems taken from ecoinvent v. 3.7.1. Results and discussion: Applying moderate and strict target values in the ESM, results in substantial differences in the weighting sets. Even though the application of stricter target values changes the contribution of an environmental indicator to the total impact score the ranking of the energy generation systems varies only slightly. Moreover, the Monte Carlo Analysis reveals that displacement effects in ranks are not arbitrary: systems switch at most between ranks next to each other and most of the analysed systems dominate at least a single rank. Technologies with high shares of land use, global warming and air pollutants and particulate matter show a higher rank variance. Conclusions: The weighting schemes, deduced from target values, provide a meaningful ranking of alternatives. At the same time, the results are not excessively sensitive to the uncertainties of the target values, i.e. the inherent uncertainty of the target values does not result in arbitrary outcomes, which is necessary to support robust decisions. The ESM is able to effectively facilitate decision making by making different environmental issues comparable. [ABSTRACT FROM AUTHOR]

Based on the 2030 carbon peak target, this paper studies the top-down provincial carbon quota allocation in China's iron and steel industry. Considering the principles of fairness, efficiency, sustainability and development, three provincial carbon quota allocation schemes are constructed based on entropy method, three-stage DEA and ZSG-DEA model respectively, which make up for the gap of carbon quota allocation scheme with the total amount of carbon peak target of the iron and steel industry. The allocation results show that the allocation based on the entropy method can roughly solve the problem of uneven distribution of carbon quota of the steel industry in various provinces, and the carbon quota in the steel industry decreases from the eastern region to the western region. Considering the two environmental indicators of local government competition and urbanization level, the initial carbon quota allocation scheme can be effectively adjusted, which is conducive to promote the enthusiasm of some underdeveloped areas. The allocation scheme, which combines the entropy method with the ZSG-DEA model, can enhance the efficiency of carbon quota allocation among provinces while ensuring fairness. However, this fairness is limited and more advantageous to economically developed regions. [ABSTRACT FROM AUTHOR]

Vision-based autonomous obstacle avoidance for unmanned air vehicle (UAV) is a vital research field to ensure the safety of UAV flight in the national airspace. In this paper, a proposed detector is introduced to extract the feature (corner) points of static obstacles from the surrounding cluttered environment for small quadrotor UAVs flying at low altitudes. The detected feature points are the bottleneck for most autonomous obstacle avoidance to facilitate tracking and identification of risk processes during UAV's take-off phase. The proposed feature point detector is based on the estimated phase image of the first image derivatives and the homogeneity test examination to give the proposed detector adaptive behavior. The performance of the proposed detector is compared with various feature point detectors in terms of several quantitative assessment indices and environmental conditions. From the experimental results, the proposed detector achieves promising results for significantly extracting the surrounding feature points. [ABSTRACT FROM AUTHOR]