Environmental effects of information and communications technologies

What drives the relationship between digitalization and energy demand? Exploring heterogeneity in German manufacturing firms

The growing use of information and communication technologies (ICT) has the potential to increase productivity and improve energy efficiency. However, digital technologies also consume energy, resulting in a complex relationship between digitalization and energy demand and an uncertain net effect. To steer digital transformation towards sustainability, it is crucial to understand the conditions under which digital technologies increase or decrease firm-level energy consumption. This study examines the drivers of this relationship, focusing on German manufacturing firms and leveraging comprehensive administrative panel data from 2009 to 2017, analyzed using the Generalized Random Forest algorithm. Our results reveal that the relationship between digitalization and energy use at the firm level is heterogeneous. However, we find that digitalization more frequently increases energy use, mainly driven by a rise in electricity consumption. This increase is lower in energy-intensive industries and higher in markets with low competition. Smaller firms in structurally weak regions show higher energy consumption growth than larger firms in economically stronger regions. Our study contributes to the literature by using a non-parametric method to identify specific firm-level and external characteristics that influence the impact of digital technologies on energy demand, highlighting the need for carefully designed digitalization policies to achieve climate goals.

A 2D Acridine-Based Covalent Organic Framework for Selective Detection and Efficient Extraction of Gold from Complex Aqueous-Based Matrices

Developing candidate materials which possess the ability of both selective detection and efficient capture of precious metal gold is highly desirable for environment and economy. However, most of reported materials only focus on single function, which seriously restricts their practical application as probes or adsorbents. Herein, a two dimensional (2D) acridine-based covalent organic framework (TpDa-COF) is prepared via the linkage of imine bonds for gold detection and adsorption. The synthesized COF can achieve both fluorescence and colorimetric dual sensing for Au3+ in a low concentration range (0.1-1.5 ppm) with the limit of detection (LOD) of 0.036 ppm. Impressively, the selectivity of TpDa-COF for the detection of Au3+ is admirable (Fe3+, Fe2+ and Cu2+ for negligible influence on its fluorescence). In addition, TpDa-COF exhibits ultrahigh adsorption capacity of 982.5 mg ⋅ g-1 for gold at pH=4, which is attributed the synergistic effect of both selective coordination and reductive process of Au(III) to Au(0). Meanwhile, both positive entropy change (ΔS=76.07 J ⋅ mol-1 ⋅ K-1) and high distribution coefficient (Kd=12484.8 mL ⋅ g-1) confirm the good affinity between TpDa-COF framework and gold. This work gives us a new insight to prepare COF with pyridine nitrogen sites for gold detection and adsorption.

Oxovanadium electronics for in-memory, neuromorphic, and quantum computing applications

Vanadium is a critical raw material. In the nearby future, it may, however, become one of the key elements of computer devices based on two-dimensional arrays of spin qubits for quantum information processing or charge- and resistance-based data memory cells for non-volatile in-memory and neuromorphic computing. The research and development (R&D) of vanadium-containing electronic materials and methods for their responsible fabrication underpins the transition to innovative hybrid semiconductors for energy- and resource-efficient memory and information processing technologies. The combination of standard and emerging solid-state semiconductors with stimuli-responsive oxo complexes of vanadium(IV,V) is envisioned to result in electronics with a new room-temperature device nanophysics, and the ability to modulate and control it at the sub-nanometer level. The development of exponential (Boolean) logics based on the oxovanadium-comprising circuitry and crossbar arrays of individual memristive cells for in-memory computing, the implementation of basic synaptic functions via dynamic electrical pulses for neuromorphic computing, and the readout and control of spin networks and interfaces for quantum computing are strategically important future areas of molecular chemistry and applied physics of vanadium.

Research on the pathway of digital technology to drive China's energy sector to achieve its carbon neutrality goal

With global climate change looming large, there is an urgent need for China's energy sector to take steps towards carbon neutrality. This study aims to explore how digital technologies can contribute to the pathway for China's energy sector to achieve carbon neutrality. By analyzing carbon neutrality policies and digital technology applications, we propose a systematic pathway framework to guide China's energy sector in integrating digital technology to accelerate the pace of achieving carbon neutrality in the energy sector. We first review the current status of carbon emissions and carbon neutrality targets in China's energy sector, and in light of the development trend of modern digital technologies, we propose key application areas for digital technologies in realizing carbon neutrality in the energy sector. Second, we detail the specific applications and effects of digital technologies in energy supply side optimization, energy utilization efficiency improvement, carbon sink management, and smart grid construction. Through theoretical modeling and empirical analysis, we demonstrate the great potential of digital technologies in carbon emission reduction and carbon neutrality in the energy sector and reveal the key role of digital technologies in carbon-neutral pathways. Finally, we propose effective technology implementation measures and point out important challenges and solution paths for digital technologies in carbon-neutral practices. This study provides a scientific basis and guidance for China's energy sector to achieve carbon neutrality with the help of digital technologies and promotes the important steps towards carbon neutrality in China.

Rapid Detection and Selective Extraction of Au(III) from Electronic Waste Using an Oxime Functionalized MOF-on-MOF Heterostructure

Gold is not only a precious resource for many industries but also a global contaminant as a result of the discharge of gold-containing waste. Designing appropriate materials for the detection and extraction of gold is of great significance for the economy and environment. However, most reports only focus on sensing or adsorption for gold because of the difficulty of combining two functions in a single material. Herein, an oxime-functionalized MOF-on-MOF heterostructure (MOF-808@ZIF-90-XE) for the simultaneous detection and recovery of Au3+ is first demonstrated. The constructed hybrid material exhibits good stability, ultra-fast response time (3.6 s) as well as excellent sensitivity for the detection of Au3+ . Experimental characterizations and theoretical calculations suggest that dynamic quenching and competitive adsorption may be possible sensing mechanisms. In addition, MOF-808@ZIF-90-XE shows outstanding selectivity and admirable adsorption capacity (1575 mg g-1 ) for the capture of Au3+ owing to high surface area and abundant active adsorption sites. This paper provides a new strategy by designing a hybrid MOF-on-MOF heterostructure for the detection and extraction of gold.

How does Information and Communication Technology (ICT) industry agglomeration affect carbon emission efficiency? Evidence from China

The Information and Communication Technology (ICT) industry takes on critical significance in promoting economic development and reducing carbon emissions. From the agglomeration perspective, how the ICT industry agglomeration affects carbon emission efficiency (CEE) in 30 provinces in China from 2006 to 2020 is innovatively investigated. We measured CEE using a dynamic directional distance function-based DEA model. Then, based on the research hypotheses, the specific impact and transmission mechanism of ICT industrial agglomeration on CEE are revealed using a spatial Dubin model and a threshold panel model. The results show that: (1) the ICT industry agglomeration exerts a remarkable inverted "U-shaped" effect on CEE. This non-linear effect is significant in the eastern and central regions, but not in the western region. (2) ICT industry agglomeration can affect CEE in neighboring regions. The spatial spillover effect shows an inverted "U-shaped" in the central region, positive in the western region, and insignificant in the eastern region. (3) when green technology innovation exceeds the threshold value (4.948), ICT industry agglomeration positively affects CEE, and when energy structure exceeds the threshold value (0.389), their marginal effects are significantly negative. The threshold effect also shows regional heterogeneity. This research proposes policy recommendations focusing on accelerating the ICT industry transformation, leveraging the spillover and technological advantages of agglomeration, and enhancing regional cooperation.

Research on the data validity of a coal mine solid backfill working face sensing system based on an improved transformer

Solid backfilling in coal mining refers to filling the goaf with solid materials to form a support structure, ensuring safety in the ground and upper mining areas. This mining method maximizes coal production and addresses environmental requirements. However, in traditional backfill mining, challenges exist, such as limited perception variables, independent sensing devices, insufficient sensing data, and data isolation. These issues hinder the real-time monitoring of backfilling operations and limit intelligent process development. This paper proposes a perception network framework specifically designed for key data in solid backfilling operations to address these challenges. Specifically, it analyses critical perception objects in the backfilling process and proposes a perception network and functional framework for the coal mine backfilling Internet of Things (IoT). These frameworks facilitate rapidly concentrating key perception data into a unified data centre. Subsequently, the paper investigates the assurance of data validity in the perception system of the solid backfilling operation within this framework. Specifically, it considers potential data anomalies that may arise from the rapid data concentration in the perception network. To mitigate this issue, a transformer-based anomaly detection model is proposed, which filters out data that does not reflect the true state of perception objects in solid backfilling operations. Finally, experimental design and validation are conducted. The experimental results demonstrate that the proposed anomaly detection model achieves an accuracy of 90%, indicating its effective detection capability. Moreover, the model exhibits good generalization ability, making it suitable for monitoring data validity in scenarios involving increased perception objects in solid backfilling perception systems.

The carbon footprint response to projected base stations of China's 5G mobile network

While the rapid expansion of China's 5G mobile network helps to speed up the nation's economic and social development, it tends to release more CO₂ due to the 5G's significant energy demand, hampering sustainable development of the 5G network. Previous assessments of CO₂ emissions from China's 5G development were based on a projected 5G network ranging from six to fifteen million base stations with the absent of a convincing business model in 5G's application. Under the scenario of business-estimated six million base stations in 2030, the share of electricity consumed by China's 5G networks in 2030 could reach 8.4 % of the national total power generation, causing 0.44 GtCO₂/yr CO₂ emissions. We collected 5G base station numbers in 2020 and 2021 in 31 provinces and province-level municipalities (PLM), the period with the rapid growth of the 5G base stations in China. We linked these provincial base stations with provincial Gross Domestic Product (GDP), population (POP), and big data development level (BDDL) and established a statistical model to predict 5G base stations by 2030. The model predicted 2-5 million 5G base stations by 2030, considerably lower than the business-projected base station number. Under the model predicted 5G base stations, China's 5G network could yield 0.15-0.29 GtCO₂/yr emissions subject to the nation's BDDL from 40 to 80 % by 2030. Both 5G base stations and CO₂ emissions are significantly lower than the previous estimates. We decomposed the CO₂ footprint of China's 5G networks and assessed the contribution of the number of 5G base stations and mobile data traffic to 5G-induced CO₂ emissions. We find that increasing the application of clean energy and promoting energy efficiency can reduce CO₂ emissions in the 5G network. To more accurately estimate 5G's climate effect, we propose that it urgently needs to improve vivid 5G business models.

The role of economic growth, information technologies, and globalization in achieving environmental quality: a novel framework for selected Asian countries

This study examines the impact of information and communication technologies (ICT), GDP growth, population, and globalization on the environmental quality of 31 Asian economies (i.e., categorized as lower middle-income, upper middle-income, and high-income groups Asian economies). This analysis employed the time series data from 1990 to 2018. The robust second-generation econometric technologies are used in this analysis. This study applied the Environmental Kuznets curve (EKC) premises under the extended "STIRPAT model" to add population and GDP (per capita) and information technologies (ICTs) by employing ecological footprint. To estimate, the estimators of this study used the CS-ARDL estimates, and for robustness check, this study used the augmented mean group (AMG) test. The co-integration test found the long-run association between ecological footprint and its main determinants. The results of CS-ARDL have confirmed the imperative role of information technologies in mitigating the ecological footprint in the higher, upper-middle, and lower-middle-income economies of Asian economies. The statistical findings of this study are robust to diagnostic tests and alternative estimation proxies and techniques. Moreover, policymakers need to identify the direction of the information technology-ecological footprint nexus through cooperation in combating climate change with financial assistance in the ICT sector.

The impact of information and communication technology on carbon emissions in China: spatial effect and mechanism discussion

Information and communication technology (ICT) has exerted a great impact on the socio-economic development; however, this development has come with some potential influence on climate change. The academics are divided over this issue; some argue that ICT has contributed to carbon reduction, while others consider that ICT has increased carbon dioxide (CO2) emissions. Undoubtedly, the existing literature abounds in the relationship between ICT and CO2 emissions, but little attention has been paid to the spillover effect of ICT and CO2 emissions, especially in developing countries. Hence, with the panel data of 285 China's prefecture-level cities from 2004 to 2018, this study innovatively discusses the spatial and mechanism effects of ICT on CO2 emissions, further exploring the heterogeneous impact of ICT on CO2 emissions from multiple perspectives. The empirical results confirm the positive relationship between ICT and CO2 emissions and identify the spatial spillover effect in the relationship. Furthermore, notably, the intermediary effect of energy consumption on the impact of ICT on CO2 emissions is identified. Finally, due to the differences in the geographical position, population size, and urban agglomeration of prefecture-level cities in China, the impact of ICT on CO2 emissions varies in different cities. The findings not only contribute to advancing the existing literature but also have a significant and targeted policy guiding significance for the cities to maximize the favorable influences of ICT and promote the low-carbon transformation of the whole society.

Toward Sustainable Wearable Electronic Textiles

Smart wearable electronic textiles (e-textiles) that can detect and differentiate multiple stimuli, while also collecting and storing the diverse array of data signals using highly innovative, multifunctional, and intelligent garments, are of great value for personalized healthcare applications. However, material performance and sustainability, complicated and difficult e-textile fabrication methods, and their limited end-of-life processability are major challenges to wide adoption of e-textiles. In this review, we explore the potential for sustainable materials, manufacturing techniques, and their end-of-the-life processes for developing eco-friendly e-textiles. In addition, we survey the current state-of-the-art for sustainable fibers and electronic materials (i.e., conductors, semiconductors, and dielectrics) to serve as different components in wearable e-textiles and then provide an overview of environmentally friendly digital manufacturing techniques for such textiles which involve less or no water utilization, combined with a reduction in both material waste and energy consumption. Furthermore, standardized parameters for evaluating the sustainability of e-textiles are established, such as life cycle analysis, biodegradability, and recyclability. Finally, we discuss the current development trends, as well as the future research directions for wearable e-textiles which include an integrated product design approach based on the use of eco-friendly materials, the development of sustainable manufacturing processes, and an effective end-of-the-life strategy to manufacture next generation smart and sustainable wearable e-textiles that can be either recycled to value-added products or decomposed in the landfill without any negative environmental impacts.

Selective and rapid extraction of trace amount of gold from complex liquids with silver(I)-organic frameworks

The design of adsorbents for rapid, selective extraction of ultra-trace amounts of gold from complex liquids is desirable from both an environmental and economical point of view. However, the development of such materials remains challenging. Herein, we report the fabrication of two vinylene-linked two-dimensional silver(I)-organic frameworks prepared via Knoevenagel condensation. This material enables selective sensing of gold with a low limit of detection of 60 ppb, as well as selective uptake of ultra-trace gold from complex aqueous mixtures including distilled water with 15 competing metal ions, leaching solution of electronic waste (e-waste), wastewater, and seawater. The present adsorbent delivers a gold adsorption capacity of 954 mg g^-1, excellent selectivity and reusability, and can rapidly and selectively extract ultra-trace gold from seawater down to ~20 ppb (94% removal in 10 minutes). In addition, the purity of recovered gold from e-waste reaches 23.8 Karat (99.17% pure).

Smart cities: reviewing the debate about their ethical implications

This paper considers a host of definitions and labels attached to the concept of smart cities to identify four dimensions that ground a review of ethical concerns emerging from the current debate. These are: (1) network infrastructure, with the corresponding concerns of control, surveillance, and data privacy and ownership; (2) post-political governance, embodied in the tensions between public and private decision-making and cities as post-political entities; (3) social inclusion, expressed in the aspects of citizen participation and inclusion, and inequality and discrimination; and (4) sustainability, with a specific focus on the environment as an element to protect but also as a strategic element for the future. Given the persisting disagreements around the definition of a smart city, the article identifies in these four dimensions a more stable reference framework within which ethical concerns can be clustered and discussed. Identifying these dimensions makes possible a review of the ethical implications of smart cities that is transversal to their different types and resilient towards the unsettled debate over their definition.

Enhanced metal bioleaching mechanisms of extracellular polymeric substance for obsolete LiNixCoyMn1-x-yO2 at high pulp density

Harmful chemicals present in electric vehicle Li-ion batteries (EV LIBs) can limit the pulp density of bioleaching processes using Acidithiobacillus sp. to 1.0% (w/v) or lower. The strong enhancing mechanisms of extracellular polymeric substances (EPS) on the bioleaching of metals from spent EV LIBs at high pulp density (4% w/v) were studied using bio-chemical, spectroscopic, surface structure imaging and bioleaching kinetic methods. Results demonstrated that the added EPS significantly improved bioleaching efficiency of Ni, Co and Mn improved by 42%, 40% and 44%, respectively. EPS addition boosted the growth of cells under adverse conditions to produce more biogenic H⁺ while Fe³⁺ and Fe²⁺ were adsorbed by the biopolymer. This increased Li extraction by acid dissolution and concentrated the Fe³⁺/Fe²⁺ cycle via non-contact mechanisms for the subsequent contact bioleaching of Ni, CO and Mn at the EV LIB-bacteria interface. During the leaching process, added EPS improved adhesion of the bacterial cells to the EV LIBs, and the resultant strong interfacial reactions promoted bioleaching of the target metals. Hence, a combination of non-contact and contact mechanisms initiated by the addition of EPS enhanced the bioleaching of spent EV LIBs at high pulp density.

The AI Carbon Footprint and Responsibilities of AI Scientists

This article examines ethical implications of the growing AI carbon footprint, focusing on the fair distribution of prospective responsibilities among groups of involved actors. First, major groups of involved actors are identified, including AI scientists, AI industry, and AI infrastructure providers, from datacenters to electrical energy suppliers. Second, responsibilities of AI scientists concerning climate warming mitigation actions are disentangled from responsibilities of other involved actors. Third, to implement these responsibilities nudging interventions are suggested, leveraging on AI competitive games which would prize research combining better system accuracy with greater computational and energy efficiency. Finally, in addition to the AI carbon footprint, it is argued that another ethical issue with a genuinely global dimension is now emerging in the AI ethics agenda. This issue concerns the threats that AI-powered cyberweapons pose to the digital command, control, and communication infrastructure of nuclear weapons systems.

Delineating the Implications of Dispersing Teams and Teleworking in an Agile UK Construction Sector

A scientometric analysis of extant literature is conducted to elucidate upon the practicality of teleworking throughout industry as a prelude to prescribing a bespoke conceptual adoption model that embeds innovative digital technologies to facilitate teleworking for construction professionals. The model is premised upon the Royal Institute of British Architects (RIBA) work stages and illustrates how technologies are being used at each incremental stage. An interpretivist philosophy and inductive reasoning were adopted using a sample of longitudinal secondary data contained within pertinent extant literature, where each publication constitutes a unit of analysis. The qualitative scientometric software VOSviewer and Voyant Tools were utilised to examine emergent research trends, with further manual review of prominent papers contained within the sample dataset. Four distinct historical advances are delineated in a timeline that describes the evolution of home working from the 1970s through to the present day (and during the global COVID-19 pandemic). Key milestones delineated indicate how technological advances have created new opportunities for teleworking. The research indicates that an acceleration of digital advances has engendered modernity in contemporary work location patterns and that these offer potentials to reduce the environmental impact of anthropogenic activities. This unique study highlights how COVID-19 and available digital technologies have shaped the future of teleworking from home and the potential environmental impact of such. This concludes by signposting directions for future research into the adoption of teleworking at the organisational level and establishing the cost and environmental savings to businesses from abandoning the traditional model of employer-based working.

Emerging anthropogenic circularity science: principles, practices, and challenges

Material depletion over reliance of linear economies and environmental pollution may be resolved by applying the principles and practices of anthropogenic circularity science. Here we systematically review the emergence of anthropogenic circularity science in the interdisciplinary development of green chemistry, supply chain, and industrial ecology at different scales. The first, second, and third laws of circularity chemistry are proposed as forming the basic principles of circularity science. To close the loop on critical materials, these three basic principles have been exemplified in the anthropogenic circularity practices. We highlight the spatial distribution of critical metal, waste generation, and recycling rate. Future opportunities and challenges for a circular economy and urban mining will predominate in anthropogenic circularity. Therefore, anthropogenic circularity science will play an increasing role in enabling a smooth transition to a circular society.

Environmental Sustainability of Digitalization in Manufacturing: A Review

The rapid development and implementation of digitalization in manufacturing has enormous impact on the environment. It is still unclear whether digitalization has positive or negative environmental impact from applications in manufacturing. Therefore, this study aims to discuss the overall implications of digitalization on environmental sustainability through a literature study, within the scope of manufacturing (product design, production, transportation, and customer service). The analysis and categorization of selected articles resulted in two main findings: (1) Digitalization in manufacturing contributes positively to environmental sustainability by increasing resource and information efficiency as a result of applying Industry 4.0 technologies throughout the product lifecycle; (2) the negative environmental burden of digitalization is primarily due to increased resource and energy use, as well as waste and emissions from manufacturing, use, and disposal of the hardware (the technology lifecycle). Based on these findings, a lifecycle perspective is proposed, considering the environmental impacts from both the product and technology lifecycles. This study identified key implications of digitalization on environmental sustainability in manufacturing to increase awareness of both the positive and negative impacts of digitalization and thereby support decision making to invest in new digital technologies.

The influence of information communication technology on farmers' sales channels in environmentally affected areas of China

The rapid development of information communication technology (ICT), represented by mobile phones and the Internet, allows capitalizing to a greater extent on the wealth of information and knowledge available for agriculture knowledge and can be used to increase production, conserve the environment, etc. This study analyzes the current market-oriented behavioral effects of information communication technologies on farmers, based on data of 1263 rural households in two highly environmentally affected and major vegetable producing provinces-Shandong and Hebei. A probit model was used to analyze the impact of information communication technology on the choice of farmers' sales channels. The results show that the differences between the farm households with and without access to ICT, as well as those who actively or passively acquire information, have a significant impact on the choice of sales channels. Using ICT increases the probability that farmers choose sales through middlemen and cooperatives and reduces the probability of self-sales. Actively acquiring information has a positive impact on the cooperative channel choice and a significant negative impact on self-sales. Accordingly, we recommend that the government should increase the penetration rate of ICT, strengthen the information technology in rural areas, emphasize the construction of information sources, such as the collection and distribution of market information, enhance information literacy among farmers, reduce their transaction costs, and increase overall farmer participation in the market.

Sustainable Solutions for Wearable Technologies: Mapping the Product Development Life Cycle

Wearable technologies involve the integration of technology into clothing or accessories to bring new functionalities for people on the move. Many examples of wearables are emerging, from simple fitness tracking watches to electronics deeply embedded into garments for multi-touch sensing and control for personal music players. Without careful development, wearables can have a negative impact on the environment due to increased production of electronic components, increased e-waste from abandoned devices, and increased energy usage. We examine environmental sustainability issues through a review of recent research and cases across three broad areas including the fashion industry, information and communications technology (ICT), and wearable technologies. In the analysis, we examine stages in the product life cycle and identify the unique issues for each sector, including the extraction of materials, production process, distribution of products, use, and disposal of products that have reached the end of their life. The findings are gathered as implications for design so that researchers, educators, designers, developers, and product managers will gain an overview of the issues related to environmental sustainability. Related examples of products and prototypes are provided to enable informed choices during the design and development of wearables that are more environmentally sustainable.

Averting robo-bees: why free-flying robotic bees are a bad idea

Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduction of agricultural monocultures, and the destruction of insect native habitat, are all potential contributors to this grave situation. Some researchers are working towards a future where natural insect pollinators might be replaced with free-flying robotic bees, an ecologically problematic proposal. We argue instead that creating environments that are friendly to bees and exploring the use of other species for pollination and bio-control, particularly in non-European countries, are more ecologically sound approaches. The computer simulation of insect-plant interactions is a far more measured application of technology that may assist in managing, or averting, 'Insect Armageddon' from both practical and ethical viewpoints.

Big Data, Big Waste? A Reflection on the Environmental Sustainability of Big Data Initiatives

This paper addresses a problem that has so far been neglected by scholars investigating the ethics of Big Data and policy makers: that is the ethical implications of Big Data initiatives' environmental impact. Building on literature in environmental studies, cultural studies and Science and Technology Studies, the article draws attention to the physical presence of data, the material configuration of digital service, and the space occupied by data. It then explains how this material and situated character of data raises questions concerning the ethics of the increasingly fashionable Big Data discourses. It argues that attention should be paid to (1) the vocabulary currently used when discussing the governance of data initiatives; (2) the internal tension between current data initiatives and environmental policies; (3) issues of fair distribution. The article explains how taking into account these aspects would allow for a more responsible behaviour in the context of data storage and production.

Mapping anthropogenic mineral generation in China and its implications for a circular economy

Anthropogenic mineral is absorbing wide concern in the context of circular economy, but its generation mechanism and quantity from product to waste remain unclear. Here we consider three product groups, 30 products, and use the revised Weibull lifespan model to map the generation of anthropogenic mineral and 23 types of the capsulated materials by targeting their evolution from 2010 to 2050. Total weight of anthropogenic mineral on average in China reached 39 Mt in 2010, but it will double in 2022 and quadruple in 2045. Stocks of precious metals and rare earths will increase faster than most base materials. The total economic potential in yearly-generated anthropogenic mineral is anticipated to grow markedly from 100 billion US$ in 2020 to 400 billion US$ in 2050. Furthermore, anthropogenic mineral of around 20 materials will be capable to meet projected consumption of three product groups by 2050.

While a large quantity of underground mineral resources can be converted into manufactured products, a majority is still solid waste disposal. Here the authors found a large increase in total weight of anthropogenic mineral from 2010 to 2050 with faster growth rate for precious metals.

A drain or drench on biocapacity? Environmental account of fertility, marriage, and ICT in the USA and Canada

In either case of ecological and biocapacity surplus or deficit, the precautionary effort toward optimizing the natural capital posits a potential framework for environmental sustainability. In studying the environmental account of fertility, marriage, and technological advancement in the USA and Canada, the autoregressive distributed lad-bound testing is employed over the experimental period 1990-2014. Importantly, the study revealed that the interaction of fertility and marriage exerts a significant and negative impact of biocapacity in both the USA and Canada and in short run and long run. Moreover, while the impact of energy use in both countries is significant and positive in both the short and long run, the magnitude of the impact is almost negligible. Similarly, an improvement in technological advancement in the countries is empirically observed to cause a decline in the biocapacity in both the long and short term. These posit that both energy use and technological advancement in Canada and the USA do not necessarily improve the productive capacity of the countries ecosystems. In general, the study provides policy frameworks for stakeholders toward addressing the environmental peculiarity of the USA (a biocapacity debtor) and Canada (a biocapacity creditor).

A PISA-2015 Comparative Meta-Analysis between Singapore and Finland: Relations of Students' Interest in Science, Perceived ICT Competence, and Environmental Awareness and Optimism

The aim of the present study is twofold: (1) to identify a factor structure between variables-interest in broad science topics, perceived information and communications technology (ICT) competence, environmental awareness and optimism; and (2) to explore the relations between these variables at the country level. The first part of the aim is addressed using exploratory factor analysis with data from the Program for International Student Assessment (PISA) for 15-year-old students from Singapore and Finland. The results show that a comparable structure with four factors was verified in both countries. Correlation analyses and linear regression were used to address the second part of the aim. The results show that adolescents’ interest in broad science topics can predict perceived ICT competence. Their interest in broad science topics and perceived ICT competence can predict environmental awareness in both countries. However, there is difference in predicting environmental optimism. Singaporean students’ interest in broad science topics and their perceived ICT competences are positive predictors, whereas environmental awareness is a negative predictor. Finnish students’ environmental awareness negatively predicted environmental optimism.

Internet Penetration and the Environmental Kuznets Curve: A Cross-National Analysis

The internet has revolutionized the pattern of economic growth and its environmental effects. We investigate the ways in which internet penetration influences the relationship between income and the environment using data from 1996 to 2014 on CO2 emissions from 115 countries with multiple levels of per capita GDP and internet penetration. Empirical results document the existence of the Environmental Kuznets Curve (EKC) and reveal that internet penetration does generally reduce the actual income level beyond which pollution begins to decrease. Further tests, based on the division of income and period, indicate an increasing negative influence of internet penetration on emissions reduction, with income growth and the environmental effect of the internet evolving from direct and indirect to systemic. We discuss this study’s contributions to further research on income-environment paths and implications for the role of the internet in emissions reduction.

A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles

Connected and automated vehicles (CAVs) are poised to reshape transportation and mobility by replacing humans as the driver and service provider. While the primary stated motivation for vehicle automation is to improve safety and convenience of road mobility, this transformation also provides a valuable opportunity to improve vehicle energy efficiency and reduce emissions in the transportation sector. Progress in vehicle efficiency and functionality, however, does not necessarily translate to net positive environmental outcomes. Here, we examine the interactions between CAV technology and the environment at four levels of increasing complexity: vehicle, transportation system, urban system, and society. We find that environmental impacts come from CAV-facilitated transformations at all four levels, rather than from CAV technology directly. We anticipate net positive environmental impacts at the vehicle, transportation system, and urban system levels, but expect greater vehicle utilization and shifts in travel patterns at the society level to offset some of these benefits. Focusing on the vehicle-level improvements associated with CAV technology is likely to yield excessively optimistic estimates of environmental benefits. Future research and policy efforts should strive to clarify the extent and possible synergetic effects from a systems level to envisage and address concerns regarding the short- and long-term sustainable adoption of CAV technology.

Impact of technological innovation and regulation development on e-waste toxicity: a case study of waste mobile phones

Technology innovation has accelerated progress in Information and Communications Technology (ICT), especially in the mobile phones sector. Concurrently, local, national, and international governments are enforcing stricter regulations to protect natural resources and human health. The paper attempts to address the question: Have technological innovations and regulation development had a positive impact on ecosystems and public health? We identified 36 waste mobile phones (WMPs) manufactured between 2002 and 2013, assessed their metals concentration, leachability, and potential impact on environment and human health using digestion, Toxicity Characteristic Leaching Procedure (TCLP), and USEtox model, respectively. The results highlight that regulations did not have significant impact on total metal content, except some heavy metals, while technology innovation recorded stronger impact. WMPs should be classified as hazardous due to excessive lead content. Copper posed the most significant ecotoxicity risk, and chromium showed the most significant risk for both cancerous and non-cancerous diseases. Additionally, we demonstrated that WMPs toxicity increased with technology innovation.

Urban Mining of E-Waste is Becoming More Cost-Effective Than Virgin Mining

Stocks of virgin-mined materials utilized in linear economic flows continue to present enormous challenges. E-waste is one of the fastest growing waste streams, and threatens to grow into a global problem of unmanageable proportions. An effective form of management of resource recycling and environmental improvement is available, in the form of extraction and purification of precious metals taken from waste streams, in a process known as urban mining. In this work, we demonstrate utilizing real cost data from e-waste processors in China that ingots of pure copper and gold could be recovered from e-waste streams at costs that are comparable to those encountered in virgin mining of ores. Our results are confined to the cases of copper and gold extracted and processed from e-waste streams made up of recycled TV sets, but these results indicate a trend and potential if applied across a broader range of e-waste sources and metals extracted. If these results can be extended to other metals and countries, they promise to have positive impact on waste disposal and mining activities globally, as the circular economy comes to displace linear economic pathways.

Conceptualizing a circular framework of supply chain resource sustainability

Purpose

In response to calls for conceptual frameworks and generic theory building toward the advancement of sustainability in supply chain resource utilization and management, the purpose of this paper is to advance a circular framework for supply chain resource sustainability (SCRS), and a decision-support methodology for assessing SCRS against the backdrop of five foundational premises (FPs) deduced from the literature on resource sustainability.

Design/methodology/approach

Taking a conceptual theory-building approach, the paper advances a set of SCRS decision-support criteria for each of the theoretical premises advanced, and applies the theory of constraints to illustrate the conceptual and practical applications of the framework in SCRS decision making.

Findings

This study uses recent conceptualizations of supply chains as “complex adaptive systems” to provide a robust and novel frame and a set of decision rules with which to assess the interconnectedness of environmental, economic, and social capital of supply chain resources from pre-production to post-production.

Research limitations/implications

The paper contributes to theory building in sustainability research, and the SCRS decision framework developed could be applied in tandem with existing quantitative hybrid life-cycle and input-output approaches to facilitate targeted resource sustainability assessments, with implications for research and practice.

Originality/value

The novel SCRS framework proposed serves as a template for evaluating SCRS and provides a decision-support methodology for assessing SCRS against the five theorized FPs.

Uncovering the Recycling Potential of "New" WEEE in China

Newly defined categories of WEEE have increased the types of China's regulated WEEE from 5 to 14. Identification of the amounts and valuable-resource components of the "new" WEEE generated is critical to solving the e-waste problem, for both governmental policy decisions and recycling enterprise expansions. This study first estimates and predicts China's new WEEE generation for the period of 2010-2030 using material flow analysis and the lifespan model of the Weibull distribution, then determines the amounts of valuable resources (e.g., base materials, precious metals, and rare-earth minerals) encased annually in WEEE, and their dynamic transfer from in-use stock to waste. Main findings include the following: (i) China will generate 15.5 and 28.4 million tons WEEE in 2020 and 2030, respectively, and has already overtaken the U.S. to become the world's leading producer of e-waste; (ii) among all the types of WEEE, air conditioners, desktop personal computers, refrigerators, and washing machines contribute over 70% of total WEEE by weight. The two categories of EEE-electronic devices and electrical appliances-each contribute about half of total WEEE by weight; (iii) more and more valuable resources have been transferred from in-use products to WEEE, significantly enhancing the recycling potential of WEEE from an economic perspective; and (iv) WEEE recycling potential has been evolving from ∼16 (10-22) billion US$ in 2010, to an anticipated ∼42 (26-58) billion US$ in 2020 and ∼73.4 (44.5-103.4) billion US$ by 2030. All the obtained results can improve the knowledge base for closing the loop of WEEE recycling, and contribute to governmental policy making and the recycling industry's business development.

"Control-alt-delete": rebooting solutions for the E-waste problem

A number of efforts have been launched to solve the global electronic waste (e-waste) problem. The efficiency of e-waste recycling is subject to variable national legislation, technical capacity, consumer participation, and even detoxification. E-waste management activities result in procedural irregularities and risk disparities across national boundaries. We review these variables to reveal opportunities for research and policy to reduce the risks from accumulating e-waste and ineffective recycling. Full regulation and consumer participation should be controlled and reinforced to improve local e-waste system. Aiming at standardizing best practice, we alter and identify modular recycling process and infrastructure in eco-industrial parks that will be expectantly effective in countries and regions to handle the similar e-waste stream. Toxicity can be deleted through material substitution and detoxification during the life cycle of electronics. Based on the idea of "Control-Alt-Delete", four patterns of the way forward for global e-waste recycling are proposed to meet a variety of local situations.

Framework for analyzing transformative technologies in life cycle assessment

Emerging products and technologies pose unique challenges for the life cycle assessment (LCA) community, given the lack of data and inherent uncertainties regarding their development. An emerging technology that has the potential to be transformative and effect broad-scale change within society, as well as the underpinning assumptions associated with its life cycle, is particularly difficult to analyze. Despite the associated challenges, LCA methods must be developed for transformative technologies. The greatest improvement potential occurs at the early phases of technology development; therefore, prospective LCA results can be used to anticipate potential unintended consequences and develop design pathways that lead to preferential outcomes. This paper identifies and categorizes ten factors that influence the LCA results of transformative technologies in order to provide a formal structure for determining appropriate factors for inclusion within an LCA. Appropriate factors for an analysis should be selected according to the overall research questions of the study and are applicable to both attributional and consequential approaches to LCA.

Disposing and recycling waste printed circuit boards: disconnecting, resource recovery, and pollution control

Over the past decades, China has been suffering from negative environmental impacts from distempered e-waste recycling activities. After a decade of effort, disassembly and raw materials recycling of environmentally friendly e-waste have been realized in specialized companies, in China, and law enforcement for illegal activities of e-waste recycling has also been made more and more strict. So up to now, the e-waste recycling in China should be developed toward more depth and refinement to promote industrial production of e-waste resource recovery. Waste printed circuit boards (WPCBs), which are the most complex, hazardous, and valuable components of e-waste, are selected as one typical example in this article that reviews the status of related regulations and technologies of WPCBs recycling, then optimizes, and integrates the proper approaches in existence, while the bottlenecks in the WPCBs recycling system are analyzed, and some preliminary experiments of pinch technologies are also conducted. Finally, in order to provide directional guidance for future development of WPCBs recycling, some key points in the WPCBs recycling system are proposed to point towards a future trend in the e-waste recycling industry.

Variation of protein corona composition of gold nanoparticles following plasmonic heating

It is well recognized that the primary interaction of most biological environments with nanoparticles (NPs) is strongly influenced by a long-lived ("hard") protein corona that surrounds the NP and remains strongly adsorbed to its surface. The amount and composition of associated proteins in the corona adsorbed onto the NPs is related to several important factors, including the physicochemical properties of the NPs and the composition of the protein solution. Here, for the first time, it is shown that plasmonic heat induction (by laser activation) leads to significant changes in the composition of the hard protein corona adsorbed on low aspect ratio gold nanorods. Using mass spectrometry, several proteins in the corona were identified whose concentrations change most substantially as a result of photoinduced (plasmonic) heating versus simple thermal heating. Molecular modeling suggests that the origin of these changes in protein adsorption may be the result of protein conformational changes in response to much higher local temperatures that occur near the gold nanorods during photoinduced, plasmonic heating. These results may define new applications in vivo for NPs with hyperthermia capability and better define the likely interactions of cells with NPs after plasmonic heating. Potential changes in the protein corona following hyperthermia treatment may influence the final biological fate of plasmonic NPs in clinical applications and help elucidate safety considerations for hyperthermia applications.