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Each year, a large amount of waste paper (WP) is generated in Japan, and due to the change in lifestyle with the COVID-19 pandemic, the WP collection and recycling system in Japan faces new challenges. Although the government of Japan has installed WP collection systems, the efficiency of these traditional WP collection systems is too low, and this causes inconvenience to the governments, residents, and other stakeholders. On the other hand, some recycling companies in Japan are trying to establish a nontraditional WP collection system by setting their own WP collection stations in cooperative supermarkets. Yet, the efficiency of this new system has not been clarified. This research aims to investigate the current status, operational characteristics, and the role of recycling companies’ WP collection stations in the Japanese WP collection system. By performing trade area analysis and stepwise OLS regression, this research will evaluate WP collection stations’ efficiency. Moreover, this research will also discuss how the new WP collection system improves WP collection efficiency and residents’ convenience. The results show that WP collection stations efficiency is particularly high in large supermarkets with many parking spaces and long business hours, as well as in areas with many families with children. Recycling companies’ WP collection system could create a system, which can satisfy resident, government, and recycling company interests at the same time.

In addition to the traditional so-called Arctic states, non-Artic states and some other international organisations are now showing a growing interest in this area. China, for example, has achieved some progress, since becoming an Arctic Council permanent observer, through participation in resource development in the region and strengthening its bilateral relations with the Arctic states. The present study examines China’s Arctic policy and its implications for the governance of the Arctic Ocean. It also provides an insight into the existing relevant international legal instruments and examines China’s interest in the participation, governance, and resource protection activities in the Arctic Ocean region, to successfully implement Chinese Arctic policy. To this end, the study examines the connection between the “white paper” and “China’s Arctic Policy”, in the context of executing the “Belt and Road Initiative”, in particular the “Arctic Silk Road”. The study concludes that China intends to perform a dynamic role in governing the Arctic Ocean, as a less challenging but cooperative partner in this region.

This article investigates the potential environmental impacts of four-layer printed circuit board (PCB) production from cradle to grave. The study starts with a lifecycle assessment of conventional PCB production. Then, the alternative materials of polyethylene terephthalate (PET), polylactic acid (PLA)/glass fiber composite and paper are investigated for the substrate. A conventional PCB adopts copper as the conductive material and requires an etching process. The environmental impacts of changing the conductive deposition method to an additive method by printing silver nanoparticles is studied. In a conventional PCB, electricity generation contributes 41% of the global warming potential (GWP) and 38% of the abiotic resource depletion (ADP), in the fossil category. By applying an additive manufacturing method, the GWP of PCB manufacturing can be reduced to 14% of that of the conventional method. A sensitivity analysis of silver recycling illustrates that a 40% higher silver recycling rate would decrease the GWP of silver material by about 48–60%. Uncertainty in the energy consumption of PCB production would alter the environmental impacts, however, even with the most conservative energy consumption in a conventional PCB production method, the environmental impacts of the additive method are about five times lower than those of conventional PCB production.

The fertilizer framework in the European Union has recently been reviewed by EU Regulation 1009/2019 that excluded sewage sludge from the list of the possible constituents of organic fertilizers relying on their origin, not on their quality. This paper aimed to carry out a complete characterization of sewage sludge obtained from a pharmaceutical manufacturing process (PDSS) to demonstrate that sewage sludge obtained from a standardized and controlled manufacturing process can be safely recycled as organic fertilizer. The agronomic and environmental characteristics of the PDSS product were analyzed and compared to other organic fertilizers. Its fertilizing potential was also evaluated through plant growth trials. PDSS was characterized by a high concentration of total N (6.6% w/w), which was all present in organic form. PDSS also showed a low concentration of heavy metals, an absence of pathogens and low concentrations of organic contaminants. Plant growth trials showed that the PDSS was able to improve lettuce and carrot growth (+25 and +46% of dry weight compared to the unfertilized control), as well as their physiological status. Considering all the results, the exclusion of sewage sludge relying only on its origin and not on its quality appears to conflict with the principles of the circular bioeconomy.

The potential of agroforestry to improve livelihoods and mitigate climate change and environmental degradation has been widely recognized, especially within the context of climate-smart agriculture. However, agroforestry opportunities have not been fully exploited because of several reasons, among which are adverse policies and legislations. However, many countries do not have a full understanding of how their policy and institutional environment may affect agroforestry development. We aim to fill this gap by looking at the particular case of Chad. The method used included examining data from: (i) literature reviews of important national and international polices, strategies, and legislation governing access to land and trees, among which are ‘La Loi 14’, Chad’s 2010 poverty reduction strategy paper, draft zero of the National Environmental Policy, (ii) interviews and focus group discussions with NGOs, government officials, and farmers, and (iii) surveys with 100 households. Results show that Chad has no specific agroforestry policy but opportunities for agroforestry can be found in some of the above-mentioned policy documents and government strategies. Most stakeholders interviewed had positive attitudes towards agroforestry, but uptake of the practice is handicapped by poor understanding of the forestry law by farmers and forestry officials. Gaps in existing laws give room for rent-seekers to collect individual (USD 272–909) and collective (USD 36–1818) access fees to trees on both forest and farmland. We propose that the government of Chad should unmask elements of agroforestry in existing policies and policy instruments to demonstrate its importance in responding to livelihood and environmental challenges in the country.

This work addresses the joint management of residual microalgae and pine wood waste through pyrolysis to obtain a solid product for its use as soil amendment and two other by-products (liquid and gaseous) that can be used for energy purposes. Two management routes have been followed. The first route is through the co-pyrolysis of mixtures of both residual materials in several proportions and the later use of their solid fraction for soil amendment. The second route is the pyrolysis of pine wood waste and its direct combination with dried residual microalgae, also using it as soil amendment. The solid fraction assessment shows that from seven solid products (biochar) three stand out for their positive applicability in agriculture as soil amendment. In addition, they also present the benefit of serving as carbon sink, giving a negative balance of CO2 emissions. However, caution is suggested due to biochar applicability being subject to soil characteristics. To ensure the sustainability of the overall process, the energy available in liquid and gaseous fractions has been assessed for covering the drying needs of the residual microalgae in both cases. These results suggest that the pyrolysis process is a sustainable way to manage specific evaluated residues and their products.

Environmental concern for our planet has changed significantly over time due to climate change, caused by an increasing population and the subsequent demand for electricity, and thus increased power generation. Considering that natural gas is regarded as a promising fuel for such a purpose, the need to integrate carbon capture technologies in such plants is becoming a necessity, if gas power plants are to be aligned with the reduction of CO2 in the atmosphere, through understanding the capturing efficacy of different absorbents under different operating conditions. Therefore, this study provided for the first time the comparison of available absorbents in relation to amine solvents (MEA, DEA, and DEA) CO2 removal efficiency, cost, and recirculation rate to achieve Climate change action through caron capture without causing absorbent disintegration. The study analyzed Flue under different amine-based solvent solutions (monoethanolamine (MEA), diethanolamine (DEA), and methyldiethanolamine (MDEA)), in order to compare their potential for CO2 reduction under different operating conditions and costs. This was simulated using ProMax 5.0 software modeled as a simple absorber tower to absorb CO2 from flue gas. Furthermore, MEA, DEA, and MDEA adsorbents were used with a temperature of 38 &deg, C and their concentration varied from 10 to 15%. Circulation rates of 200&ndash, 300 m3/h were used for each concentration and solvent. The findings deduced that MEA is a promising solvent compared to DEA and MDEA in terms of the highest CO2 captured, however, it is limited at the top outlet for clean flue gas, which contained 3.6295% of CO2 and less than half a percent of DEA and MDEA, but this can be addressed either by increasing the concentration to 15% or increasing the MEA circulation rate to 300 m3/h.

Cheese whey is a waste produced in the dairy industry which generates problems if it is dumped directly into the sewer due to its high organic load. An alternative for cheese whey management is anaerobic digestion, a biological process that transforms organic matter into biogas and digestate, two products with significant energy and agricultural potential. This work was aimed at contributing to the building of knowledge about the anaerobic degradation of cheese whey, developing a bibliometric analysis, and tracing trends in related research from 2010 up to the present, using PRISMA® to develop a systematic review based on Scopus® and using Excel® and bibliometric software (VosViewer® and RefViz®) for the identification of information. Our results show that the research around cheese whey is relatively recent and that the highest percentage of publications is from 2018 onwards. Twelve variables of the anaerobic cheese whey degradation process were identified and grouped into five factors: substrate, reactor configuration, digestate analysis, microbiological analysis, and inoculum. Likewise, it was identified that most of the anaerobic processes allow the implementation of the circular economy into the dairy sector. In conclusion, the application of anaerobic digestion in the dairy sector can help to close the productive cycles, produce biofuels, and reduce pollution.

The use of food additives (such as dyes, which improve the appearance of the products) has become more prominent, due to the rapid population growth and the increase in demand for beverages and processed foods. The dyes are usually found in effluents that are discharged into the environment without previous treatment; this promotes mass contamination and alters the aquatic environment. In recent years, advanced oxidation processes (AOPs) have proven to be effective technologies used for wastewater treatment through the destruction of the total organic content of toxic contaminants, including food dyes. Studies have shown that the introduction of catalysts in AOPs improve treatment efficiency (i.e., complete decomposition without secondary contamination). The present review offers a quick reference for researchers, regarding the treatment of wastewater containing food dyes and the different types of AOPs, with different catalyst and nanocatalyst materials obtained from traditional and green chemical syntheses.

Population displacement by extreme weather events have long plagued Bangladesh, a low-lying disaster-prone river delta. The country experiences yearly displacement of approximately one million people and losses of about 1% of its gross domestic product due to cyclones, floods, and riverbank erosion. This study examines how the Bangladesh government has managed climate-induced displacement with a particular focus on socioeconomic development policies. We analyzed the country’s 1984 Land Reform Ordinance, the 2009 climate change strategy and action plan, the 1997 agricultural Khasland settlement policy, perspective plan for 2010–2021, poverty reduction strategy paper, and five-year plans to understand governance changes for displaced communities. We found that, overall, the central government implemented four main strategies. In the first strategy, Bangladesh resettled displaced people in cluster villages on public lands. Then, it provided life skills training (e.g., leadership, disaster preparedness, income generation) to rehabilitate the residents. The third strategy was to align resettlement efforts with local-level climate change adaptation and poverty reduction activities. Here, the central government and its seventeen departments collaborated with local councils to support resettled households under the social safety program. The fourth strategy was to diversify financial resources by obtaining more fund from donors and establishing its own financial mechanism. However, we also found that the decision-making and implementation process remained top-down without need assessment and community participation. This paper intends to offer insights on how similar challenged countries and regions may respond to climate displacement in the future.

Granular organic fertilizers have been increasingly used in agriculture due to the longer delivery of nutrients to plants and the milder impact on the environment. The aim of this study was to determine the energy, environmental and economic efficiency of granular and non-granular organic fertilizers. Four technological scenarios of organic fertilizer use were used for comparative assessment: (1) manure fertilization (16.0 t ha−1), (2) manure fertilization (30.0 t ha−1), (3) manure pellet fertilization (2.0 t ha−1), and (4) fertilization with meat and bone meal pellets (0.7 t ha−1). Experimental studies using the mass flow method of laser spectroscopy were performed to evaluate the comparative environmental impact of granular and non-granular organic fertilizers. Economic assessment was performed for mechanized technological operations of loading, transportation and distribution of organic fertilizers, estimating the price of aggregates used and fuel consumed, the costs of individual technological operations and other indirect costs. The results showed that for mechanized technological operations, when fertilizing with granular organic manure and meat and bone meal fertilizer, energy consumption is 3.2 to 4.0 times lower compared to fertilization with manure. The average ammonia (NH3) emissions from granular organic fertilizers were found to be six times lower than from non-granular organic fertilizers. The lowest costs for mechanized works were incurred when using meat and bone meal pellets, the highest economic benefits of organic fertilizers by elements was when using manure 30 t ha−1, and the highest costs for organic fertilizers were incurred when using manure pellets.

Microalgae biofuel is expected to be an ideal alternative to fossil fuels to mitigate the effects of climate change and the energy crisis. However, the production process of microalgae biofuel is sometimes considered to be energy intensive and uneconomical, which limits its large-scale production. Several cultivation systems are used to acquire feedstock for microalgal biofuels production. The energy consumption of different cultivation systems is different, and the concentration of culture medium (microalgae cells contained in the unit volume of medium) and other properties of microalgae vary with the culture methods, which affects the energy consumption of subsequent processes. This review compared the energy consumption of different cultivation systems, including the open pond system, four types of closed photobioreactor (PBR) systems, and the hybrid cultivation system, and the energy consumption of the subsequent harvesting process. The biomass concentration and areal biomass production of every cultivation system were also analyzed. The results show that the flat-panel PBRs and the column PBRs are both preferred for large-scale biofuel production for high biomass productivity.

More than 124 million tons of oranges are consumed in the world annually. Transformation of orange fruit generates a huge quantity of waste, largely composed of peels. Some attempts to reuse by-products derived from citrus waste have been proposed for energy production, nutrient source or pharmaceutical, food and cosmetic industries. However, their use in the building sector had not been researched. In this study, orange peels, in five different ratios, from 100% of wet peels to 75% and from 0% of dry peels to 25%, were submitted to a thermo-compression procedure. They were evaluated according to their physical (bulk density, water absorption, thickness swelling, surface soundness and thermal conductivity) and mechanical properties (bending strength and modulus of elasticity). The results showed that orange peels can be used as thermal insulation material. The addition of dried peels makes the structure of the board heterogeneous and thus increases its porosity and causes the loss of strength. Hence, the board with the sole use of wet peel, whose thermal conductivity is 0.065 W/mK while flexural strength is 0.09 MPa, is recommended.

Solid sago waste is a potential source of producing renewable energy in the form of biogas. This study investigated the effects of solid sago waste particle size, biological pretreatment using a microbial consortium of lignocelluloses, pretreatment with NaOH, and the ratio between solid sago waste and cow rumen based on the biogas production rate. Several variations of these conditions were used to achieve this. The anaerobic digestion process was conducted over two months at 30.42 °C ± 0.05 °C, and the biogas production rate was measured every two days. The 1:1 ratio showed better results compared to the 2:1, because it allows the bacteria to achieve metabolic balance. The highest cumulative biogas production (27.91 mL/g TS) was generated when the sago waste underwent milling (±1 mm), pretreatment with 4% NaOH g/g TS, and treatment with microbial consortium 5% v/v at a 1:1 ratio of solid sago waste to the rumen.

With the European Green Deal, the importance of recycled products and materials has increased. Specifically, for PET bottles, a high content of recycled material (rPET) is demanded by the industry and consumers. This study was carried out in a lab environment replicating real-life industrial processes, to investigate the possible impacts on rPET quality over eleven recycling loops, aiming to use high amounts of rPET repetitively. A cycle included extrusion, solid state polycondensation (SSP), a second extrusion to simulate bottle production, hot wash and a drying step. 75% rPET and 25% virgin PET were extruded in eleven cycles to simulate a recycling and production process. Samples underwent chemical, physical and biological analysis. The quality of the rPET material was not adversely affected. Parameters such as coloring, intrinsic viscosity, concentration of critical chemicals and presence of mutagenic contaminants could be positively assessed. The quality of the produced material was likely influenced by the input material’s high standard. A closed loop PET bottle recycling process using an rPET content of up to 75% was possible when following the proposed process, indicating that this level of recycled content can be maintained indefinitely without compromising quality.

Leak detection and repair (LDAR) plays an important role in controlling the fugitive emission of volatile organic compound (VOC) from chemical enterprises. At present, many policies and standards issued in China have set clear requirements for implementing LDAR in the pharmaceutical industry. In this study, the LDAR work of nine typical pharmaceutical enterprises was selected for analysis to allow investigation of the characteristics of VOC emissions from leaking equipment components. Some suggestions for controlling VOC are proposed to provide a reference for managing the fugitive emissions of VOC from pharmaceutical enterprises. The results showed that the number of equipment components used by the pharmaceutical enterprises ranged from several thousand to more than 20,000, which is lower than that in oil refining and coal chemical enterprises. The predominant leaky component was the flange, which accounted for 56.31% of the total, followed by connectors (21.51%) and valves (18.53%). Light liquid medium components accounted for the largest proportion of equipment (52.83%) on average, followed by gas medium components (45.52%, on average). Heavy liquid medium components, which are rarely used in pharmaceuticals, accounted for only 1.65%. The average leak ratio of the components in the pharmaceutical industry was approximately 0.99%. The leak ratio of the open-ended line was much higher than that of other types of components, reaching an average of 5.00%, while that value was only 0.92% for the flange, despite the numbers and proportion of them that were in use. The total annual VOC leakage from the nine pharmaceutical enterprises studied in this work was 20.11 tons, with an average of 2.23 tons per enterprise and an average of 0.22 kg/a per equipment component. Flanges, connectors, and valves were the top three contributors to leakage, generating 39.17%, 38.72%, and 16.79% of the total, respectively, and a total proportion of 94.68%. Although the number of pumps accounted for only 0.15% of the components, it generated 1.94% of the leakage. In terms of different production processes, the greatest unit product leakage came from the bulk production of chemicals used for pharmaceuticals, reaching 0.085 t/a. The production from traditional Chinese medicine enterprises was the lowest (0.011 t/a), which was only 12.80% of the leakage from the bulk production of chemicals for drugs. The leakage of VOC from the equipment components in the nine enterprises was reduced, to varying degrees, using LDAR. The overall reduction ratio was between 23.55% and 67.72%, with an average of 44.02%. The reduction in leakage was relatively significant after the implementation of LDAR, however, there is still room for improvement. Pharmaceutical enterprises should improve their implementation of LDAR and reduce VOC leakage by reducing the number of inaccessible components used and increasing the repair ratio of leaky components. Controlling the source of component leakage, which should be emphasized, can be realized by cutting down the number of components used, adopting low-leakage equipment, and putting anti-leakage measures in place.

Small-scale anaerobic digestion (AD) can be an effective organic waste management system that also provides energy for small businesses and rural communities. This study measured fuel production from digestions of single and mixed feedstocks using an unheated, 2 m3 digester operated continuously in a temperate climate for over three years. Using local food waste, brewery waste, grease waste, and agricultural residues, this study determined that small-scale AD co-digestions were almost always higher yielding than single feedstocks during psychrophilic operation and seasonal temperature transitions. Agricultural residues from Miscanthus&nbsp, x&nbsp, giganteus had the greatest impact on biomethane production during co-digestion (4.7-fold greater average biogas %CH4), while mesophilic digestion of brewery waste alone produced the most biogas (0.76 gCH4 gVS−1 d−1). Biogas production during the transition from mesophilic to psychrophilic was temporarily maintained at levels similar to mesophilic digestions, particularly during co-digestions, but biogas quality declined during these temperature shifts. Full-time operation of small-scale, unheated AD systems could be feasible in temperate climates if feedstock is intentionally amended to stabilize carbon content.

Nature is declining globally at unprecedented rates with adverse consequences for both ecological and human systems. This paper argues that only transformative change—a fundamental, system-wide reorganization—will be sufficient to arrest and reverse this loss and to meet globally agreed development goals, including the post-2020 Global Biodiversity Framework. In search for a credible platform to help facilitate such transformative change, this paper explores the potential of multifunctional ‘scape approaches to improve sustainable management outcomes at scale. Beyond a current international focus on nature restoration, this paper emphasizes the urgency and criticality of confirming approaches for sustainably preserving large ‘intact’ natural areas. Through a semi-systematic review of contemporary academic and gray literature and derivation of a theory of change, the authors consider tropical peatland systems—which can interconnect multiple ecosystem types and be of global biodiversity and carbon sequestration significance—to help derive potentially broader sustainable ecosystem management lessons. Beyond identifying key considerations for implementing multifunctional ‘scape approaches, the paper recommends further work to deepen understanding of the multidimensional ‘value’ of nature; strengthen governance frameworks; empower indigenous peoples and their knowledge sharing and community management; align nature-positive and climate-positive goals; andmobilize commensurate business and financial support.

The aim of this paper is to better understand the dynamics of circular construction projects and how these interorganizational projects contribute to the transition towards a circular economy. It is essential that the construction sector develops and adopts interorganizational initiatives to support the transition to a circular and low-carbon construction economy. A benefit of being involved in such initiatives is that organizations reflect on the emergence and acceptance of new practices related to changing organizational roles and responsibilities. In this paper, we study eight circular construction projects within the context of an interorganizational initiative to stimulate the transition towards a circular economy by exploring insights from evaluations thereof. We build upon literature from Sustainability Transitions Research (STR), circular construction research, and interorganizational project studies. Our findings show three clusters of dynamics that are relevant in the realization of circular ambitions in interorganizational construction projects: (1) prerequisites, (2) temporal dynamics in interorganizational projects, and (3) contextual influences. These insights highlight factors that enable the realization of circular ambitions in construction projects and contribute to our understanding of the dynamics of interorganizational construction projects and their role in the context of STR.

Global warming and climate change are becoming a global concern. In this regard, international agreements and initiatives have been launched to accelerate the use of renewable energy and to mitigate greenhouse gas (GHG) emissions. Yemen is one of the countries signed on these agreements. However, Yemen is facing the problem that the structure of the power grid is fragile and the power shortage is serious. Accordingly, this paper aims to study the potential for renewable energy in Yemen and assess the technical and economic feasibility of hybrid energy systems. Firstly, this paper introduces the status and challenges of Yemen&rsquo, s electricity sector, the status of renewable energy, and the status of GHG emission. Secondly, this study proposes the method of optimizing different configurations of off-grid hybrid (solar/wind/diesel engine) energy systems for electrifying various consumers in Taiz province, Yemen under three scenarios of energy strategies. The objective function is to seek the most optimal hybrid energy system that achieves the least cost and most advantageous technical performance, while instigating the best economic scenario of energy strategies. Finally, Homer pro software is used for simulation, optimization, and sensitivity analysis of the designed energy systems. The results found the best economically feasible scenario, the hybrid PV/wind/diesel energy system, among the other scenarios. A photovoltaic (PV)/wind energy system achieved the best technical performances of 100% CO2 reduction, with a 54.82% reduction in the net present cost (NPC) and cost of energy (COE), while the hybrid energy system (PV/wind/diesel engine) achieved the best economic cost of 61.95% reduction in NPC and COE, with a 97.44% reduction of CO2 emission.

Air pollution is a common problem for many countries around the world in the process of industrialization as well as a challenge to sustainable development. This paper has selected Chengdu-Chongqing region of China as the research object, which suffers from severe air pollution and has been actively involved in air pollution control in recent years to achieve sustainable development. Based on the historical data of 16 cities in this region from January 2015 to November 2019 on six major air pollutants, this paper has first conducted evaluation on the monthly air quality of these cities within the research period by using Principal Component Analysis and the Technique for Order Preference by Similarity to an Ideal Solution. Based on that, this paper has adopted the Long Short-Term Memory neural network model in deep learning to forecast the monthly air quality of various cities from December 2019 to November 2020. The aims of this paper are to enrich existing literature on air pollution control, and provide a novel scientific tool for design and formulation of air pollution control policies by innovatively integrating commonly used evaluation models and deep learning forecast methods. According to the research results, in terms of historical evaluation, the air quality of cities in the Chengdu-Chongqing region was generally moving in the same trend in the research period, with distinct characteristics of cyclicity and convergence. Year- on-year speaking, the effectiveness of air pollution control in various cities has shown a visible improvement trend. For example, Ya&rsquo, an&rsquo, s lowest air quality evaluation score has improved from 0.3494 in 2015 to 0.4504 in 2019, Zigong&rsquo, s lowest air quality score has also risen from 0.4160 in 2015 to 0.6429 in 2019. Based on the above historical evaluation and deep learning forecast results, this paper has proposed relevant policy recommendations for air pollution control in the Chengdu-Chongqing region.

The main aim of this paper is to analyze the influence of service companies&rsquo, corporate social responsibility (CSR) actions on final customer&rsquo, s loyalty. A theoretical model of loyalty formation based on CSR was proposed and a sample of 1125 final customers of financial services in Spain was studied. Structural equation models were used to verify the hypothesized relationships. Based on the CSR theory oriented to stakeholders, this work justifies the direct and positive relationship between the perception of CSR actions in the shopping experience and customer trust. We also verified a positive indirect influence on loyalty. The services industry was chosen to conduct this research due to its own particularities (intangibility, inseparability, heterogeneity and perishability). As it is impossible to evaluate a service before its consumption, a high level of trust in the supplier will be necessary to motivate the purchase decision. We conclude that CSR becomes a key strategic asset for determining trust and loyalty among consumers. As major findings, we have verified the special importance of CSR in the services market. CSR improves customer trust in the service provider. Thus, this paper has significant managerial implications. Through CSR strategies, both the perception of the customer&rsquo, s purchasing experience and trust can be enhanced, resulting in more loyal customers. As a limitation, this research was carried out among financial services. Further research should test the model across different industries and countries in order to determine the generalizability and consistency of the findings of this study.

Innovation systems are increasingly oriented towards the solution of societal and environmental problems. Social entrepreneurship can be regarded as a market-based actor, inherently aimed at finding solutions for these problems. The development of technologically advanced social entrepreneurship represents an outcome of problem-oriented innovation systems, requiring a closer link between social and technological innovation. Nonetheless, the literature has not yet explored a key element of these innovation systems: the technology transfer processes, which may enable social entrepreneurial organizations to act as innovation actors leveraging on technology. This paper investigates the relationship between the technology transfer processes targeting social entrepreneurship and different models of problem-oriented innovation ecosystems. The paper relies on a multiple-case-study design, including two problem-oriented innovation ecosystems in the Italian context, namely, MIND and Torino Social Impact, which are technology transfer projects designed to target social entrepreneurship. Drawing from content analysis of interviews, documents and direct observations, the results stress that the different objectives and contents of technology transfer, coupled with different perceptions of the idiosyncratic features of social entrepreneurship compared to commercial entrepreneurship, fit different ecosystem models in terms of the participating actors, governance and primary orientation to social or economic value generation.

Environmental degradation is a serious problem in modern civilization as it causes changes in consumer behavior towards ecologically responsible purchasing. In order to understand the green product purchasing decision process, an extensive literature review on green purchasing behavior was conducted. The current study is an exploratory research and the purpose of this paper was to investigate how sociodemographic factors explain consumers&rsquo, green purchase behavior. The differences between gender, age, education level, personal financial situation, and the number of children in the family were examined. To achieve the goal, we conducted a survey among 650 Polish consumers. Our findings suggest that all of the above-mentioned sociodemographic variables have an impact on awareness and purchasing behavior towards green products. Moreover, the results show that female consumers have more positive attitudes towards purchasing green products, than male consumers. Young consumers are skeptical about green products. A positive relationship was established between education and the acknowledgement of the dominance of one&rsquo, s own needs over the needs of the environment. The better the personal financial situation, the more people expressed their intention to buy green products. The paper shows the implications for marketing. In addition, our exploratory research shows future research directions based on findings from the point of view of green consumer behavior. The study is an in-depth analysis of the factors determining green purchasing behavior. It contributes to the current literature by strengthening the existing knowledge about the factors influencing green purchase behavior in developing countries.

The Development of the Yangtze River Economic Belt (YREB) is not only a major regional coordination development strategy in China but also a core carrier supporting China&rsquo, s innovation-driven development. Under this background, this paper explored the evolution, spatial difference, and coordination development of the regional innovation system in the period of 2007 to 2017 from the demand and supply perspective. We found that, during the study period, the development level of the innovation demand subsystem (IDS) and innovation supply subsystem (ISS), as well as their coordinated development, all showed an increasing trend. The development gap of IDS and the coordinated development among cities in YREB was quite balanced, while there existed a large gap among cities in YREB in the development of ISS. The development of IDS was better than the development of ISS in most of the cities of YREB, indicating that the innovation development of cities in YREB needs supply-side structural reform urgently. Most cities in YREB were at the moderately or slightly uncoordinated development phase, and Shanghai was the only city with coordinated development between IDS and ISS. This paper enriches the regional innovation system from a new perspective, the demand and supply perspective, as well as providing suggestions for the coordinated development of the regional innovation system in YREB.

The research on marine ecological compensation is aimed to protect the marine environment and sustainably utilize marine ecosystem services, and is an important institutional instrument for coordination of the relationships among environmental, economic and other social interests. The legal mechanism of marine ecological compensation should be an important way to effectively deal with the contradictions (for examples: the value loss of marine ecosystem services, destruction of marine biodiversity, etc.) in marine eco-environmental protection. This paper firstly introduces the case of the “Sanchi” ship accident, which is regarded as the first collision case of a tanker carrying gas condensate in world shipping history, and also provides a detailed analysis of the “Tasman Sea” ship case which is regarded as the first compensation claim for marine ecological damage in China, and makes some related discussions on marine ecological compensation concerning the two cases. Then, the paper probes into the research theme from four aspects: China’s legislative deployment, the legal connotation of marine ecological damage (including the current legal status of compensation claims, subjects of compensation claims, the compensation scope and the evaluation system.), major challenges in legal practice, and remediation of marine ecological damage in China. Finally, the paper provides some suggestions on marine ecological damage compensation for the final settlement in the “Sanchi” case, and tries to explore the future trend of the research theme based on the China’s marine strategy.

Due to changing demographics, the UK faces a significant shortage of school places. The UK government aims to build large numbers of new schools to meet this demand. However, legally binding carbon emissions mitigation commitments might limit the ability of the government to adequately meet this demand on-time, on-budget, and within sustainability targets. This paper assesses the opportunity for prefabricated engineered timber construction methods to help meet the demand for new primary and secondary school buildings in the UK within these constraints. Building on a study of past government-led school building programmes and the state-of-the-art developments in engineered timber construction, this paper outlines the benefits that an engineered timber school building programme could have on a sustainability and procurement level. A strategy is then proposed for the wider adoption of engineered timber for the construction of school buildings in the UK, including detailed guidelines for designers and policymakers. The study concludes with recommendations for the adaptation of this strategy in different countries, depending on context-specific requirements, therefore promoting a generalised adoption of sustainable and efficient construction processes.

The impacts of climate change are anticipated to become stronger in the future, leading to higher costs and more severe accidents in the oil industry’s facilities and surrounding communities. Motivated by this, the main objective of this paper is to develop, for the oil industry, a risk assessment methodology that considers future climate projections. In the context of an action research effort, carried out in a refinery in Greece, we adapted the organization’s extant risk management approach based on the Risk Assessment Matrix (RAM) and suggested a risk quantification process that incorporates future climate projections. The Climate Risk Assessment Matrix (CRAM) was developed to be used to assess the exposure of the facility’s assets, including human resources, to future climate risks. To evaluate CRAM, a comparison with RAM for the specific organization for the period 1980–2004 was made. Next, the application of CRAM for the period 2025–2049 indicated that, even though the resilience of the operations of the company to extreme conditions seems adequate at present, increased attention should be paid in the future to the resilience of refinery processes, the cooling system, and human resources. Beyond the specific case, the paper provides lessons for similar organizations and infrastructures located elsewhere.

The ongoing COVID-19 pandemic has proven to be a real challenge for courier companies on a global scale and has affected customer behavior worldwide. This paper attempts to propound a new methodology in order to predict the effect of courier companies’ e-commerce on customers’ risk perception regarding their online behavior after the outbreak, and the final effect of their behavior on the global ranking of the company’s website, utilizing passive crowdsourcing data from five world-leading courier companies as representative examples of their respective business sectors. The results will allow supply chain risk management (SCRM) managers to make effective strategic decisions regarding the efficient allocation of resources to mitigate the corporate risk to their organization during a novel crisis. In our paper, we monitored five key performance indicators (KPIs) over a 24-month period (March 2019–February 2021) as the first of a suggested three-level analysis process using statistical analysis and fuzzy cognitive mapping techniques. We propose that courier service companies should manage the risk of a potential novel crisis by improving the reputation and brand name of the company, since customers tend to trust an established brand.

This paper investigates how tax benefits for companies affect future firm value and current corporate performance. In addition, this paper also examines the relationship between tax benefits and future firm value for each major industry. The findings of this paper are as follows. First, tax benefits granted to companies improve current corporate performance. The effect of tax benefits that reduce corporate tax costs increases net income, which directly increases current corporate performance, such as ROA (returns on assets) and ROE (returns on equity). Second, tax benefits granted to firms reduce future firm value. Industries that receive tax benefits may have inherent taxation, which can lead to fiercer competition and ultimately lower pre-tax profit margins due to the entry of new companies or the increase in production facilities. In addition, tax benefits that cause temporary differences among the types of tax benefits for a company through deferred tax payments may be factors that hinder future improvements in corporate value. These causes result in the fact that tax benefits for a company can negatively affect its value in the long term. This paper has the following contributions. First, the findings of this paper imply that there is a limit to the positive impact of tax benefits on firms on improving corporate value in the long run. Second, through empirical analysis, this study provides objective information that the impact of tax incentives on corporate value may differ by industry.

Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO2 emissions while enhancing users’ well-being and comfort. The purpose of this paper is to present a methodology that was developed during the COVID-19 pandemic to understand and improve the use of coliving spaces based on remote Post-Occupancy Evaluation (POE) analysis of the digital trail generated by the users. Applying the POE methodology based on data collection from IT infrastructure enabled to identify opportunities to improve the future design of human-centered spaces. The residential market, design-wise traditional for centuries, is now facing a high-speed adaptation to the changing needs, accelerated by the COVID-19 crisis. New ways of living and shared spaces like Coliving are escalating. Technology is both an enabler of this shift in housing and the solution to operating and managing these new buildings. This paper demonstrates, through the case study of a Coliving space located in Madrid, Spain, the benefits of implementing data analysis of the digital trail collected from in-built IT systems such as smart locks, Wi-Fi networks and electric consumption devices. The conclusion is that analysing the available data from the digital infrastructure of coliving buildings can enable practitioners to improve the future design of residential spaces.

The paper discusses the benefits of blockchain technology for medical tourism. The major focus is placed on pre-procedure and post-procedure of medical tourism. The authors argue that blockchain technology can facilitate several stages of medical tourism by enabling disintermediation, allowing cryptocurrency payments, ensuring secure data sharing and privacy, and empowering trusted review systems. With regard to COVID-19 pandemic, the paper outlines the current challenges of the medical tourism industry and prop oses the opportunities for blockchain technology use. The paper attempts to provide important insights regarding the positive implications of blockchain technology use within the medical tourism industry as well as to further advance the current knowledge about blockchain technology’s effects for medical tourism.

The deep roadway groups play an important role in transportation and ventilation in coal mine production. Therefore, it is very important to comprehensively analyze the coupling effect of rheological deformation and coal mining on the stability of the roadway groups. In this paper, the disturbance effects of different stop-mining lines on roadway groups under long-term rheology were investigated by numerical simulation, and the failure mechanism of roadway groups with large sections and multiple disturbances in a deep well was revealed. The results show that the long working face will lead to the collapse of key strata, and the influence range will spread to the adjacent roadway groups. When the distance between the working face and the stop-mining line is 100 m, the roadway groups cannot be affected by the working face mining, and the reserved width of the coal pillar can be determined to be 100 m, which increases the stability of the roadway’s surrounding rock and maintains the mine safety production. This paper aims to provide a reference for groups design and control under similar conditions.

University Research Centres (URCs) have become a primary organisational structure in universities for bringing together a critical mass of multidisciplinary research interests that can compete for large, funded research projects and create breakthrough research results. Some of the more successful URCs are now developing specialised project management offices (PMOs) that can coordinate key activities, from proposal development to project execution, and ensure that research results are disseminated. A key challenge for URCs is to define what roles, functions, and competencies such a PMO should have. This research identifies a number of key attributes of PMOs that meet the unique challenges of URCs. This paper presents an initial conceptualisation of roles and functions developed from a literature review and that are later tested via a detailed survey among 370 URC participants involved in collaborative R&amp, D projects worldwide. The study suggests that there are three PMO maturity stages: ‘basic’, ‘intermediate’, and ‘advanced’. The resulting conceptualisation highlights six functions for a ‘basic’ PMO stage, an additional ten functions for an ‘intermediate’ PMO stage, and a further ten functions for ‘advanced’ PMO. The research presented provides guidance and decision support to URCs when selecting the role that a PMO should play for achieving tangible and intangible project benefits. Although the study suggests a lengthy list of functions, none of these should be considered in isolation. Most of the functions interact with each other and affect the PMOs’ impact within the URC in various ways. The paper contributes to the transformative and evolutionary nature of PMOs, and illustrates that universities are receptive and even demanding of the need to create an effective PMO to improve the operation of major R&amp, D projects and programs and create greater societal impact by URCs.

The international and European literature and institutional contexts are fostering agrobiodiversity as the foundation of a new paradigm for localized agri-food system development and sustainability. Accordingly, new systemic and holistic theoretical approaches and conceptual models are needed. This paper aims to identify and apply a new conceptual framework contributing to the understanding of how the restoring and valorization of underutilized or neglected landraces can act as a trigger for sustainable territorial development. A new holistic model was designed for the characterization and analysis of agrobiodiversity-oriented food systems. We consider the model innovative in enhancing the conceptualization of the adoption of a socio-ecological systems approach. We applied the model to a representative case study involving the localized agri-food system of the Valtiberina Red Onion, a threatened plant landrace cultivated in Tuscany, Italy. A participatory action–research approach was followed, involving both public and private stakeholders. As the main outcome of the paper, we demonstrated the capability of our new SES model by identifying and describing the assets, drivers, human action processes and generated beneficial effects concerning the development and reproduction of landrace-based quality valorization virtuous circles. Our research findings highlighted the model as an innovative tool for the analysis of agrobiodiversity-oriented food systems sustainability. Significantly, the model was designed to identify the combined role of public policy and private action in supporting the implementation of coherent management mechanisms and effective governance settings.

Women play important, but often invisible, roles in Lake Malawi’s small-scale fisheries sector. This paper augments previous research by exploring the productive and reproductive roles that men and women have in fishing communities and how this shapes women’s access and control over fisheries resources. Contributing to advancing the understanding of how to strengthen women’s roles in the fisheries sector, this paper reports on a qualitative assessment conducted in seven Malawian lakeshore districts. Data collected via focus group discussions, which included gendered resource mapping exercises, revealed belief systems and gender norms that shape men’s and women’s access to and control over lacustrine resources. While both men and women have access to lake and land resources, their roles differ. Men dominate fishing resources whereas women dominate resources that are tied to household management. While all value chain nodes are open to men, women tend to be concentrated in lower-value processing and trading activities. Social norms and values shape people’s access and control over communal resources. It is noteworthy that women who earn an income from the fisheries value chain have more access to savings and credit and have more equal household bargaining power.

The aim of this paper is to provide evidence on the effectiveness of the current state support mechanism incentive adopted by the Italian government in the wind market. In particular, this paper intends to investigate the effectiveness of the auction mechanism as an incentive tool for renewable sources as required by the transposition of Directive 2009/28/EC. In order to demonstrate the economic and financial feasibility of a typical wind-sector investment, we performed a scenario analysis (Monte Carlo simulation) determining a 52,500 Net Present Value (NPV) by varying the key underlying variables of the investment. The results show that with the mechanism currently in place the percentage of positive leveraged NPV is approximately equal to 70%. Despite the state contribution provided through the “Feed-in tariff” mechanism, the profitability of wind projects is not always successful, and this problem could be amplified by the slowness of the authorization procedures. The article offers prime reflections for scholars and policy makers who have long been committed to promoting sustainable development and important considerations on the introduction of further incentive models.

The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab, ThingSpeak cloud system, and the Virtuino platform will be used for data presentation. Quantitative data are applied to determine conditions for agriculture system performance management. By analyzing the literature and the current situation in monitoring and managing in the agriculture and ecology field, it can be concluded that there are no special education courses regarding these issues. This knowledge was a good starting point for the research presented in this paper. Accordingly, the findings include developing a monitoring and management system intended for student education in mentioned fields. In addition, the practical implications of this research includes the acquisition of information related to student satisfaction with this method of education in the courses of engineering, agriculture, and ecology. The presented system may enable benchmarking, simulation, and verification of different scenarios to improve students’ knowledge regarding sensors’ application in natural conditions. The originality of the research lies in the presented software solution that can be made available to educational institutions and other scientific institutions to serve as a basis in the overall monitoring and management of agricultural and ecology parameters.

This introductory paper to the Special Issue “Shared Mobility” aims (1) to present and differentiate the diversity of practices and services that constitute the shared mobility sector; (2) to emphasize the contribution of each published article; and (3) to identify knowledge gaps of knowledge and provide further research avenues. With the contribution from 29 authors affiliated to social sciences and transportation research institutions in seven countries (Sweden, Germany, Netherlands, Greece, Belgium, Norway, and Australia), new understandings of the potential, drivers, barriers, and limitations of diverse shared mobility solutions for a more sustainable society are presented. The common message across the special issue is that the shared mobility sector is constantly evolving, while aiming to attain sustainability goals. Several papers have taken a psychological approach to explain the adoption of shared mobility practices (e.g., carsharing), yet these findings may be context-dependent, which future research should further investigate (e.g., differences between platform-based and self-service modes). We also call for researchers to pay attention to how traditional transit services can be combined with newer shared mobility services (e.g., micro-mobility), but also to informal public transport systems, as we identify these as important developing areas.

The effect of digital transformation on enterprise technological innovation is reflected in quantity and quality, which may show heterogeneity. In this regard, this paper uses the data of China’s A-share agricultural listed companies from 2015 to 2020 to compare the differential impact of enterprise digital transformation from the perspective of quantity and quality of technological innovation. Firstly, the Tobit model is used to test whether there are differences in the impact of digital transformation on the quantity and quality of technological innovation of agricultural enterprises, and heterogeneity is tested according to the nature of enterprises. Secondly, this paper explores the reasons digital transformation has different effects on the quantity and quality of technological innovation through mechanism analysis. Finally, according to the threshold model, the conditions for digital transformation to promote the quantity and quality of technological innovation of agricultural enterprises are discussed. The empirical results show that, first, the digital transformation of agricultural enterprises only promotes the number of technological innovations, and there is heterogeneity in the nature of enterprises, but the innovation efficiency is not affected. Second, the period expense rate will lead to digital transformation, having different effects on the quantity and efficiency of technological innovation of agricultural enterprises. Third, the impact of digital transformation on the technological innovation efficiency of agricultural enterprises has a significant single threshold effect, and when the period expense rate is less than the threshold, the digital transformation has a significant role in promotion.

To accelerate the energy transition, the EU “Clean Energy for all Europeans” package aims to strengthen the involvement of end consumers in the energy market. To this end, together with so-called “active consumers” and provisions for individual and collective renewable energy self-consumption, two types of energy communities were introduced. The EU framework, however, leaves many details of the transposition process to the national level. The corresponding directives were supposed to be transposed by the end of December 2020 (recast Electricity Market Directive, defining active consumers and citizen energy communities) and by the end of June 2021 (Renewable Energy Directive, defining renewables self-consumption and renewable energy communities). In this paper, we critically discuss major developments of the transposition, including questions of the general distinction of the different concepts, governance and ownership, physical expansion, administrative barriers and the overall integration of energy communities into the energy system. The analysis builds on country case studies as well as on previous work by the authors on the status of the transposition process throughout the EU. The paper shows that the national approaches differ greatly and are at very different stages. While basic provisions are in place in most Member States to meet the fundamental EU requirements, the overall integration into the energy system and market is only partly addressed. This concerns, for instance, the analysis of system impacts of energy communities and measures that would allow and support energy system-friendly behaviour. In addition, several practical hurdles need to be overcome. These often relate to administrative requirements such as complex registration and licensing procedures, the need for the involvement of several institutions, or difficult procedures for access to relevant data. The paper concludes that discussed barriers will need to be carefully addressed if the high expectations for the role of energy communities are to be met.

The paper is positioned in the emerging debate on the technological change brought about by the Fourth Industrial Revolution, often referred to as Industry 4.0. Our analysis is at the local, sub-national level. The aim is to explore what drivers and barriers local productive systems might face when seeking to embark on transitions that reconcile smart, equitable, and sustainable priorities, under enhanced models called Industry 4.0+. The novelty of the paper is to develop such models by designing a conceptual framework that juxtaposes the drivers and the barriers of sustainability transitions with local productive systems. This novel framework suggests possible pathways that local productive systems can initiate to achieve more equitable and green outcomes for their economy and society by directing the development of digital-related solutions.

The production of building materials is a significant component of the impact the construction sector has on the natural environment. Steel is among the most utilized materials, having various applications specific to the built environment. Therefore, understanding the impact of this structural material represents an important step in achieving global sustainable development. The paper aims to analyze the effects of different steel structural elements on the Earth’s ecosystem with respect to concerns over sustainability. In order to reach this goal, the authors have analyzed a dwelling steel structure based on cubic modules with high structural modularity. In addition, the study looks at the influence of an over the floor reinforced concrete slab in order to gain an overall view regarding environmental performances. The impact on the natural environment has been analyzed by considering the cradle-to gate with options Life Cycle Assessment study. The paper provides up-to-date knowledge on the environmental performances of the analyzed structure, presenting encouraging conclusions for construction sector specialists with respect to the use of steel as a material that can represent a solution in the current global effort to minimize the environmental burdens imposed by the construction sector.

This paper outlines a methodology for structuring a generic database of environmental impacts on the end-of-life phase of buildings, which can be used at the national level, in accordance with European standards. A number of different options are also considered for managing construction and demolition waste (CDW), as well as for promoting the circularity of materials in construction. The database structure has been developed for use by the main stakeholders who decide the disposal scenario for the main CDW flows, assess waste management plans, and identify the corresponding environmental aspects. The impact categories considered in this paper are global warming potential (GWP) and the abiotic depletion potential of fossil fuels (ADP (f.f.)). This lifecycle assessment (LCA) database further facilitates the identification of important information, such as possible treatments for CDW, or suppliers of recycled materials for use in new construction. Two demolition case studies were used to confirm the benefits of the proposed database. Two demolition scenarios are assessed—traditional and selective—in order to demonstrate the advantage of selective demolition in waste management. The results obtained from the environmental assessment of CDW flows demonstrate that the proposed database can be an important and useful tool for decision making about the end-of-life of construction materials, as it is designed to maximize their reuse and recycling. An innovative online platform can be created based on this database, contributing to the reduction of the environmental impacts associated with the end-of-life phase of buildings.

Investments in high-speed rail (HSR) development contribute to reducing regional disparities and improving territorial cohesion. When studying the efficacy of HSR investments, the travel time (and effort) spent on getting to and from the HSR station is crucial. In large urban areas there may be more than one station, and a peripheral station may complement the central stations and become a powerful vector for development. The rationale of this paper revolves around the possibility of applying a methodology based on generalised cost (GC) functions to study the advantages of new HSR-related projects in different locations. With this aim, we evaluate a real example in Seville (Spain) to determine whether the improvement in metropolitan accessibility to HSR services justifies the implementation of a new peripheral station, using a methodology to assess the territorial accessibility based on GC functions and modal travel times obtained with GIS methods, followed by an economic assessment based on a cost-benefit analysis. The paper ends with the main conclusions and a discussion of the methodology applied, the reductions in generalised costs resulting from the new station, the relevance of the case study, the limitations of the approach and further research stemming from this study.

This paper explores the role that the social economy, and the social business within it, have in terms of the strategies deployed to tackle Sustainable Development challenges. This paper proposes a New Sustainable Recovery Approach (NSRA) leveraging the strengths of the social economy and social business to guide policymakers to rethink socio-economic actions for a post-COVID-19 world aimed at sustainable human development. The NSRA is based on three, self-reinforcing, components: the promotion of Sustainable Human Development (SHD) for everyone, a transformative approach to Education and Research for individual and collective learning processes, and a strong emphasis on a recovery driven by an “enhanced social and environmental consciousness and behavior”. The paper analyzes the role of the social economy and social business in the implementation of the NSRA. At the end of the paper, policy implications and final remarks are provided to policy makers.

This paper introduces a time efficient deep learning-based solution to the traveling salesman problem with time window (TSPTW). Our goal is to reduce the total tour length traveled by -*the agent without violating any time limitations. This will aid in decreasing the time required to supply any type of service, as well as lowering the emissions produced by automobiles, allowing our planet to recover from air pollution emissions. The proposed model is a variation of the pointer networks that has a better ability to encode the TSPTW problems. The model proposed in this paper is inspired from our previous work that introduces a hybrid context encoder and a multi attention decoder. The hybrid encoder primarily comprises the transformer encoder and the graph encoder; these encoders encode the feature vector before passing it to the attention decoder layer. The decoder consists of transformer context and graph context as well. The output attentions from the two decoders are aggregated and used to select the following step in the trip. To the best of our knowledge, our network is the first neural model that will be able to solve medium-size TSPTW problems. Moreover, we conducted sensitivity analysis to explore how the model performance changes as the time window width in the training and testing data changes. The experimental work shows that our proposed model outperforms the state-of-the-art model for TSPTW of sizes 20, 50 and 100 nodes/cities. We expect that our model will become state-of-the-art methodology for solving the TSPTW problems.

Background: The purpose of this paper is to suggest an approach to aid with the creation of an interdisciplinary team and evidence-informed solutions addressing the urban mobility challenges facing many communities. Methods: We created a local Urban Mobility Consortium with experts from different disciplines to discuss the development of healthy, accessible communities, electrification, ride-sharing, and overarching issues related to urban mobility. A workshop and survey data collected during COVID-19 are presented in this paper. Results: Several evidence-informed recommendations are provided. Broadly, these were: (1) support the creation and development of accessible and safe active-transportation infrastructure, (2) incentivize and prioritize the use of active, public, and shared transportation over use of personal vehicles, (3) ensure connectivity of active transportation infrastructure with major destinations and public transportation options, (4) work towards electrification of personal and public transportation, and (5) work across siloes to improve integrated mobility to impact climate and health related outcomes, and enhance overall efficiency. Conclusions: An integrated approach is needed to improve mobility, access, and environmental impact. This needs to be carried out in the local context and requires government and non-governmental leadership.

This paper reviews the application of lean methods for corporate sustainability and highlights demands for future research. With the help of a systematic literature review, papers at the interface of lean and sustainability were identified and matched to a standardized list of lean methods to assess their frequency in the context of sustainability. In a further step, papers containing actual case studies were analyzed in more detail regarding specific application settings, sustainability dimensions, measurability of sustainability impact, and other criteria. The quantitative analysis of 363 publications shows frequent use of lean methods such as just in time and value stream mapping in the context of sustainability, and a surprisingly low use of other approaches such as karakuri, milk run, or chaku chaku. The in-depth analysis of 81 case studies reveals the primacy of intra-company and ecological assessments in the lean context, while social and inter-company aspects remain rather underexposed. This study complements existing research on lean and sustainability by systematically analyzing specific lean methods in the context of sustainability and by further exploring the sustainability characteristics of such lean applications.