Evaluating efforts to build sustainable WEEE reverse logistics network design: comparison of regulatory and non-regulatory approaches

Many developing countries such as Turkey are still making an effort on building an infrastructure for waste of electrical and electronic equipment (WEEE) reverse logistic network design (RLND) processes. It is obvious that policies/laws/regulations related to WEEE management provide a sustainable framework for implementation in the RLND. The question is here: Does the implementation of WEEE directives make sense in terms of reducing the total cost of the network in the long term? This study aims to compare regulatory and non-regulatory situations of WEEE RLND in developing countries by formulating two models named as ‘regulatory’ and ‘non-regulatory’. Model 1 is considered as sustainable with economic, environmental and social goals, and the quotas imposed by the environmental directive are taken into consideration as the data of product return amount. In Model 2, only economic goal is considered, and product return amount is forecasted using Artificial Neural Network (ANN). A case study is conducted in a recycling company in order to evaluate performance of the proposed models. This study contributes to the relevant literature by (1) comparing the regulatory and non-regulatory situations RL models explicitly and (2) proposing ANN model to forecast EEE product return or WEEE quantity for non-regulatory situation.     

Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study

The modern manufacturing organisations have been adopting both lean and sustainable manufacturing paradigms to survive in the competitive environment. Lean and sustainable strategies aim at achieving productivity improvement by streamlined processes and waste elimination. The performance of such integrated lean sustainable system has to be assessed to ensure whether the strategic objectives are in line with customer value and to identify improvement opportunities that enable and enhance the competitive advantage of an integrated lean sustainable system. This paper presents the formulation of conceptual performance evaluation model to assess lean sustainable systems. Appropriate performance indicators have been identified and adaptive neuro fuzzy inference system approach is used to evaluate lean sustainability. A case of automotive component manufacturing firm in Indian scenario is exemplified. Based on the evaluation, lean sustainability index was computed and the firm was found to be ‘Averagely Lean Sustainable’. Further improvement actions to enhance the lean sustainable performance were planned and implemented. The developed performance evaluation model is capable of effectively evaluating the lean sustainable performance of manufacturing firms and has more practical relevance.     

Infiltrating citizen-driven initiatives for sustainability

To examine how citizen-driven initiatives for sustainability strive to bring about change and spread their practices, efforts to link social movement, grassroots innovation and green-consumption movements theory are built upon. Göteborg’s citizen-driven waste-prevention initiatives, such as food waste recovery, creating common reuse spaces in housing blocks, exchanging used toys and repairing abandoned bicycles, are considered with data from observations, workshops, documents, social media communications and in-depth interviews. Citizen-driven initiatives succeeded in mobilizing material resources, displaying and reframing various rationales, and creating collaborative local networks to develop their waste-prevention practices. These practices infiltrated the municipal administration, matching incipient institutional mandates to minimize waste. By so doing, they bring within mainstream institutions radical rationales that can become activated in the future, contributing to diachronic change.     

Critical reflections on the theory and practice of social sustainability in the built environment – a meta-analysis

This article presents a critical reflection on the theory and practice of social sustainability in the built environment, identifies areas of agreement and disagreement, explores theoretical and conceptual gaps and challenges, and suggests practical implications for future research and urban policy. It argues that despite revisionist approaches which challenge the tripartite structure of sustainable development, social dimension of sustainability remains an essential valid pillar. Utilising a qualitative meta-analysis methodology for undertaking critical analysis of previous research and publications on the topic, key themes of theory and practice of social sustainability are identified and critically examined. Accordingly, 10 key formative characteristics of social sustainability and their research and policy implications are introduced. The article concludes with institutional observations for policy-makers to achieve greater success in addressing largely underestimated dimensions of social sustainability in urban settings.     

环境区划若干问题探讨

环境区划的理论基础是社会-经济-自然复合生态系统理论,持续发展论和区域科学理论.其区划的原则包括:①区域环境结构和功能的相近性和差异性;②相关自然区划或经济区划成果继承;③行政单元相对完整;④便于环境管理;⑤区划界面原则.该文还指出环境区划与环境规划的差异,提出需要探讨的若干问题. ·     

工业-环境系统可持续发展定量研究

应用系统论分析了工业－环境系统内部相互作用的特征,建立了工业－环境系统可持续发展的定量判据。对区域工业－环境可持续发展问题进行了定量研究。     

Frontiers of protected areas versus forest exploitation: Assessing habitat network functionality in 16 case study regions globally

Exploitation of natural forests forms expanding frontiers. Simultaneously, protected area frontiers aim at maintaining functional habitat networks. To assess net effects of these frontiers, we examined 16 case study areas on five continents. We (1) mapped protected area instruments, (2) assessed their effectiveness, (3) mapped policy implementation tools, and (4) effects on protected areas originating from their surroundings. Results are given as follows: (1) conservation instruments covered 3–77%, (2) effectiveness of habitat networks depended on representativeness, habitat quality, functional connectivity, resource extraction in protected areas, time for landscape restoration, “paper parks”, “fortress conservation”, and data access, (3) regulatory policy instruments dominated over economic and informational, (4) negative matrix effects dominated over positive ones (protective forests, buffer zones, inaccessibility), which were restricted to former USSR and Costa Rica. Despite evidence-based knowledge about conservation targets, the importance of spatial segregation of conservation and use, and traditional knowledge, the trajectories for biodiversity conservation were generally negative.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-021-01628-5.     

Examining the spatial incongruity between mining sector and beekeeping activities

The seminal work of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services on pollinators, pollination, and food production, informed scientific studies on the understudied impacts of mining on agriculture sub-sectors. This paper assesses the potential impacts of mining activities on beekeeping as an agricultural sub-sector, and the flow-on effects on associated economic values and enterprises to enhance sustainable development. A case study is conducted in the emerging northwest gold mining region of Ghana. The Location Quotient (LQ) and Location Association (La) models are used to explore the economic significance of beekeeping, its spatial links with tree habitats, and mining activities. Geographic Information Systems (GIS) were used to analyze the spatial interactions between concessions, trees, and beekeeping. The paper finds that districts with LQ < 1 in beekeeping also record LQ > 1 in mining, and La < 50 between beekeeping and mining. The findings are useful for stakeholder decision-making toward harnessing and leveraging the prospects of mining on integrated rural and sustainable development.     

Assessment of environmental footprint using geospatial approach to ascertain the Sustainable Development Goal 2030s of India

Utilization of natural resources has multiplied globally, resulting in serious environmental deterioration and impeding the achievement of the Sustainable Development Goals (SDGs). For the harmonious development of human nourishment and the balance of nature, it is vital to evaluate environmental segments' resource usage, transformation, and residue, referred to as ‘footprint,’ in order to highlight carrying capacity and sustainability. This analysis highlights the Environmental Footprint (EF) of India per state from 2010 to 2020 in terms of hectares per capita. This study evaluates India's biological, hydrological, energy, ecological, and pollution footprints, carrying capacity, environmental pressure, and environmental deficit using 17 distinct parameters categorized under the themes of biological resource, hydrological resource, energy resource, and pollution concentration. We proposed a reoriented methodology and EF concepts that determine India's footprint, carrying capacity, nature of sustainability, environmental pressure index, and its consequential links to the 2030 SDGs. As a result, the biological resources contributed to ~50% of the environmental footprint, while hydrological, energy, and pollutants made up the remaining. Between 2010 and 2020, Delhi, Uttar Pradesh, Bihar, and West Bengal had the highest EF, while Jammu and Kashmir and the north-eastern provinces had the lowest. During the research period, the ecological deficit in India has increased overall. India impedes the 2030 SDGs; therefore, the study provides a picture of resource consumption, waste generation, economic growth, and societal changes, enabling academics and policymakers to redefine or document policy for a more sustainable future.     

Violence and complex humanitarian emergencies: implications for livelihoods models

This paper explores the nature of the violence that characterises complex humanitarian emergencies and the related implications for modelling livelihoods systems. While noting the importance of livelihoods approaches in complex humanitarian emergencies, it deliberates the limitations of sustainable livelihoods frameworks when applied in environments marked by protracted instability. Adaptations to the model are discussed, with a particular focus on the relationships among violence, assets and liabilities within livelihoods systems. Political economy of violence theories intimate that the assets on which livelihoods systems are constructed in peaceful times may instead become life-and livelihood-threatening liabilities in periods of conflict. Adaptations to livelihood systems in violent settings require that analysts consider violence from policy, institutional and process perspectives. It is suggested that vulnerability should be re-conceptualised as endogenous to livelihoods systems in violent settings. Building on the work of others, a livelihoods model adapted for complex humanitarian emergencies is presented.