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The land use, land-use change and forestry (LULUCF) sector, as a source and a sink of greenhouse gas (GHG) emissions, is critical for achieving carbon neutrality. Many academic journals have published papers on land use carbon emission or sink (LUCES), but LUCES reviews are relatively rare, which poses great challenges in accurately understanding the research progress and future prospects. This work analyzes the research characteristics, hotspots and future perspectives of LUCES research by using a bibliometric analysis (such as DDA, VOSviewer, CiteSpace software) and a review based on the data (6115 scientific papers) during 1991–2023 from the Web of Science (WoS) platform. We found that (1) over the past 33 years, it first presented a steady growth, then fluctuating growth, and finally a rapid growth trend in the yearly number of publications in LUCES research. The USA (17.31%), China (14.96%), and the UK (7.37%) occupy a dominant position in this research field. (2) The related LUCES research is interdisciplinary, which mainly cover science and technology, meteorology and atmospheric sciences, geology, and environmental sciences and ecology disciplines. (3) The research hotspot analysis on LUCES shows that these articles mostly covered the follow three aspects: ecosystem services, climate change, and carbon neutrality. (4) A review of the past LUCES literature suggests that it is mainly focused on exploring the forefront issues in terms of the definition and boundaries, evaluation method and influencing factors, etc. This work suggests that further research could explore the main scientific problems on quantification of land-based carbon neutrality, quantitative analysis of the impact mechanisms, as well as interdisciplinary research and collaborative governance needed for carbon neutrality. [ABSTRACT FROM AUTHOR]

The urgent need to achieve net-zero carbon emissions by 2050 has led to a growing focus on innovative approaches to producing, storing, and consuming energy. Integrated energy systems (IES) have emerged as a promising solution, capitalising on synergies between energy networks and enhancing efficiency. Such a holistic approach enables the integration of renewable energy sources and flexibility provision from one energy network to another, reducing emissions while facilitating strategies for operational optimisation of energy systems. However, emphasis has been mostly made on steady-state methodologies, with a dynamic verification of the optimal solutions not given sufficient attention. To contribute towards bridging this research gap, a methodology to verify the outcomes of an optimisation algorithm is presented in this paper. The methodology has been applied to assess the operation of a civic building in the UK dedicated to health services. This has been done making use of real energy demand data. Optimisation is aimed at improving power dispatch of the energy system by minimising operational costs and carbon emissions. To quantify potential discrepancies in power flows and operational costs obtained from the optimisation, a dynamic model of the IES that better captures real-world system operation is employed. By incorporating slow transients of thermal systems, control loops, and non-linearity of components in the dynamic model, often overlooked in traditional optimisation modules, the methodology provides a more accurate assessment of energy consumption and operational costs. The effectiveness of the methodology is assessed through model-in-the- loop co-simulations between MATLAB/Simulink and Apros alongside a series of scenarios. Results indicate significant discrepancies in power flows and operational costs between the optimisation and the dynamic model. These findings illustrate potential limitations of conventional operational optimisation modules in addressing real-world complexities, emphasising the significance of dynamic verification methods for informed energy management and decision-planning. [ABSTRACT FROM AUTHOR]

As the world embarks on a global mission to tackle climate change, reducing carbon represents a key challenge given the escalating global warming. The U.K. is among many other nations that are determined to decarbonise all sectors and strive to achieve a net zero carbon target by 2050. While much attention has been paid to improving performance and reducing carbon emissions in electrical machines, the current research landscape focuses mainly on the thermal and electromagnetic facets. Surprisingly, carbon emissions from the production stage, especially those related to raw material consumption, remain a largely unexplored area. This paper wishes to shed light on a neglected dimension by providing a comprehensive review of carbon emissions in the manufacture of electrical machines, thus contributing significantly to the wider discourse on carbon emission reduction by comparing the carbon emission values associated with various materials commonly used for the main components of these machines. A further case study is included to assess and explore the impact of material alterations on a synchronous machine, from a carbon emission perspective. A reliable material guide will provide engineers at the design stage with the critical insight needed to make informed material selection decisions, highlighting the critical role of carbon emission values beyond conventional thermal and electromagnetic considerations, achieving sustainable and environmentally conscious electrical machine design. [ABSTRACT FROM AUTHOR]

Hydrogen is an emerging technology changing the context of heating with cleaner combustion than traditional fossil fuels. Studies indicate the potential to repurpose the existing natural gas infrastructure, offering consumers a sustainable, economically viable option in the future. The integration of hydrogen in combined heat and power systems could provide residential energy demand and reduce environmental emissions. However, the widespread adoption of hydrogen will face several challenges, such as carbon dioxide emissions from the current production methods and the need for infrastructure modification for transport and safety. Researchers indicated the viability of hydrogen in decarbonizing heat, while some studies also challenged its long-term role in the future of heating. In this paper, a comprehensive literature review is carried out by identifying the following key aspects, which could impact the conclusion on the overall role of hydrogen in heat decarbonization: (i) a holistic view of the energy system, considering factors such as renewable integration and system balancing; (ii) consumer-oriented approaches often overlook the broader benefits of hydrogen in emission reduction and grid stability; (iii) carbon capture and storage scalability is a key factor for large-scale production of low-emission blue hydrogen; (iv) technological improvements could increase the cost-effectiveness of hydrogen; (v) the role of hydrogen in enhancing resilience, especially during extreme weather conditions, raises the potential of hydrogen as a flexible asset in the energy infrastructure for future energy supply; and finally, when considering the UK as a basis case, (vi) incorporating factors such as the extensive gas network and unique climate conditions, necessitates specific strategies. [ABSTRACT FROM AUTHOR]

Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change and meet emissions reduction targets. One promising area in this regard is the role of artificial intelligence (AI) in carbon reduction policy and strategy monitoring. While researchers have explored applications of AI on data from various sources, including sensors, satellites, and social media, to identify areas for carbon emissions reduction, AI applications in tracking the effect of governments' carbon reduction plans have been limited. This study presents an AI framework based on long short-term memory (LSTM) and statistical process control (SPC) for the monitoring of variations in carbon emissions, using UK annual CO2 emission (per capita) data, covering a period between 1750 and 2021. This paper used LSTM to develop a surrogate model for the UK's carbon emissions characteristics and behaviours. As observed in our experiments, LSTM has better predictive abilities than ARIMA, Exponential Smoothing and feedforward artificial neural networks (ANN) in predicting CO2 emissions on a yearly prediction horizon. Using the deviation of the recorded emission data from the surrogate process, the variations and trends in these behaviours are then analysed using SPC, specifically Shewhart individual/moving range control charts. The result shows several assignable variations between the mid-1990s and 2021, which correlate with some notable UK government commitments to lower carbon emissions within this period. The framework presented in this paper can help identify periods of significant deviations from a country's normal CO2 emissions, which can potentially result from the government's carbon reduction policies or activities that can alter the amount of CO2 emissions. [ABSTRACT FROM AUTHOR]

As the United Kingdom reduces its CO2 emissions in order to meet its 2050 net zero greenhouse gas targets, there will be a significant evolution of the UK's energy mix. The reliance on hydrocarbons will decrease while there is predicted to be an increase in low carbon energy sources such as renewables and nuclear. In order to decarbonise and achieve the net zero emissions targets while concurrently producing enough energy to provide for national energy needs, large‐scale, low carbon energy generation projects need to be developed alongside energy storage facilities to provide flexibility within a low carbon energy supply. Robust CCUS programmes will need be developed in order to capture and store unavoidable carbon dioxide emissions. The subsurface geology of the UK provides opportunities for the development of low carbon energy generation, energy storage and CCS, and the Upper Permian Zechstein Supergroup deposited in eastern England and offshore in the Southern North Sea is a potential host for these new developments. In NE England, salt cavern gas storage sites have been developed in thick Zechstein evaporites since the mid 20th centrury. In this paper we present new isopach maps and well correlation panels which will help to outline optimal locations for the development of additional salt caverns for gas storage. A review of the Zechstein Supergroup indicates that it does not exhibit great potential for the development of CCS, due both to its complex reservoir characteristics and to difficulties with both subsurface imaging and monitoring. However thick Zechstein evaporites could provide an excellent seal for CO2 storage in the underlying Lower Permian Rotliegend Group. [ABSTRACT FROM AUTHOR]

The UK is, like its peers in the EU, just under 80% dependent on fossil fuels. This figure has come down just over 10% since the 1970s, a period when the UK had major energy-intensive industries, most of which are now gone. The government is committed to achieving net zero for the electricity sector by 2035 on the pathway to net zero for the whole economy by 2050.. The Labour opposition has set 2030 as its electricity target. Setting out the scale of this challenge, this paper demonstrates how implausible the 2035 target is. On present policies there is little prospect that the 2035 target will be met (and virtually none for the Labour 2030 target). This paper reviews the multiple current policies and the capacity objectives and explores what would have to happen to meet the target. It sets out some of the consequences of failure to deliver, and the expectation of that failure. [ABSTRACT FROM AUTHOR]

Urban building energy modelling (UBEM) is a prevalent research method to examine the multi-scale building to urban renovation in mitigating global energy-related carbon emissions. However, only a few studies delineate a complete workflow from generation to application using UBEM. In particular, to facilitate the designing of sustainable built environments, existing research needs to emphasize the integration of multi-scale energy performance evaluation within the design development process for architects and urban planners. The key challenges lie in the need for integrated datasets and incompatibility between software tools required for designing, modelling, and evaluation. This paper presents a comprehensive methodological framework to investigate applicable urban decarbonization strategies. A case study of Sheffield in the UK demonstrates the development of an automated and standardized computational workflow. This data-driven workflow aims to evaluate energy demand and supply scenarios at an urban scale to access the potential of decarbonizing built environments. The workflow is designed to be adaptable to various scales of urban regions, given a suitable geographic information system (GIS) dataset. [ABSTRACT FROM AUTHOR]

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Motivated by the growing attention on climate change and the ethical role that board characteristics and ownership may play in reducing greenhouse gas (GHG) emissions, this paper investigates the relationship between institutional ownership and GHG emissions. Using an extensive dataset from the UK and the USA, we show that institutional ownership is associated with less GHG emissions – a one standard deviation increase in the proportion of institutional ownership reduces carbon emissions by 1.02 metric tons. Our findings are robust when using alternative measures, econometric specifications and several approaches to address endogeneity. Further, we find no evidence for a stronger effect in the UK compared with the USA, as expected from our discussion of the governance contexts in the two countries. We also test the possible channel (i.e. exit and selection) through which institutional investors affect GHG emissions. In a set of additional analyses, we show that litigation risk and board gender diversity moderate the relationship between institutional ownership and GHG emissions. Finally, we also document a positive effect of the stewardship codes on the relationship between institutional ownership and GHG emissions. Our findings make significant theoretical and regulatory contributions. [ABSTRACT FROM AUTHOR]

This paper examines how CEO power and CSR-linked compensation influences environmental performance. We investigate the role of CEO managerial power (proxied by CEO duality and the presence of executive directors on the board), and CEO legitimate power (proxied by CEO tenure), adopting three measures of environmental performance, including the environmental scores, carbon emission scores and a composite index assessing the level of a firm's engagement in several environmental practices. Analysing a sample of FTSE-All-Share companies for the period 2011–2019, we find that CEOs who receive compensation from engagement in environmental activities are motivated to improve environmental performance. Moreover, newly appointed CEOs engage more in environmental initiatives, suggesting that they use it as a signal to mitigate career concerns in their early tenure, whereas CEOs with managerial power engage less in environmental projects due to the costs associated with them. These effects are stronger in firms with independent and diverse boards, firms operating in the environmentally sensitive sectors and non-loss-making firms. This study provides original evidence of the role of environmental-linked incentives and managerial power in managing environmental impact and optimising the environmental performance of their companies. [ABSTRACT FROM AUTHOR]

The research project discussed in this paper is driven by the United Kingdom's (UK's) need to reduce operational energy and carbon by promoting the adoption of the Active Building (AB) concept for UK building projects. The AB concept offers a practical solution to reducing the operational energy use and carbon emissions of buildings by using emerging technologies applied to architectural design; thus, helping the UK meet its decarbonisation targets and, consequently, helping to combat the global problem of climate change. The aim of the project was to design and implement an AB Protocol with an AB Toolkit, to provide a knowledge base and sustainable architectural design guidance to aid the design of ABs. The AB Toolkit was tested, evaluated, and refined by engaging with architectural designers in the UK through focus groups (FGs) that combined data collection with knowledge dissemination—a method which provided a contribution to the continuous professional development (CPD) of architectural designers in the UK, while aiding the research project. The FG data proved the original hypothesis that a whole host of measures are needed to support the adoption of the AB concept (as outlined in the AB Protocol), but that some design guidance was needed initially to enable the development of other supporting measures. Therefore, the main output of this research project was the development of a structured approach to enable architectural designers and other built-environment professionals to adopt the AB concept for the delivery of net zero operational energy buildings, supporting the aims of the SPECIFIC Innovation and Knowledge Centre, Swansea University, and the Active Building Centre (ABC). The method of data collection developed, and the structured approach to enabling the adoption of a new concept outlined, could be beneficial to other researchers. [ABSTRACT FROM AUTHOR]

Deep geothermal energy can aid in the decarbonization of heat within the UK; this is required to meet net zero carbon emissions targets by 2050. The Cheshire Basin represents a significant opportunity for the development of deep geothermal resources; there are vast quantities of high permeability sandstones in hydraulic continuity, with temperatures favorable for direct heat use and, potentially, for power generation. Newly produced basal temperature maps in this study indicate the likely maximum temperatures for the basin, with the hottest temperature expected to be between 100 and 131.2 °C in the Crewe area. There have also previously been a range of estimates highlighting a geothermal resource within the basin to be in the region of 44.1 to 75 × 1018 J; however, previous estimates for heat in place are limited to simple volumetric or geometrical constraints. Therefore, this paper uses digitized depth and temperature maps to provide new estimates for the heat in place. Results suggest the resource has been underestimated and there is a need for more detailed evaluation. Depending on the geothermal gradient, the resource could be between 91 and 144 × 1018 J (1.26 to 1.45 × 1017 J/km2). Although there is a significant amount of heat in place, geological issues preventing development remain, such as the uncertainty in the quality of the reservoir at depth due to data limitations and the lateral continuity of the Manchester Marls Formation, which could act as a barrier to flow. Nevertheless, further regional assessment of the basin and data acquisition is required to build confidence in the reservoir quality and reduce uncertainty. This could unlock the basin for geothermal development. [ABSTRACT FROM AUTHOR]

The UK has some of the oldest buildings in Europe. They are also some of the worst performing in terms of energy performance. In tandem with these issues the UK has committed to making a substantial reduction in CO2 emissions. UK homes are currently responsible for almost 20 per cent of CO2 emissions. This leaves little option other than to make considerable progress with the retrofitting of homes to improve their energy performance. This is a technical process, however, and can introduce risks to building and their occupants. Examples exist of homes being retrofitted with disastrous consequences. Some of these issues can be due to the lack of thorough examination of a home before it undergoes a retrofit. This paper proposes a method that provides a detailed pre-retrofit assessment of a home, to fall in line with PAS 2035, a standard that provides guidance around publicly funded retrofit in the UK. [ABSTRACT FROM AUTHOR]

Governments, industry and academia are paying high attention to autonomous vehicles and platooning, due to their high potential to transform public and private transport and reduce carbon emissions generated by road transport. The road freight sector is expected to be an early adopter of the autonomous technology due to the potential cost reduction for logistics companies. However, despite the expected fuel savings and polluting emission reductions due to truck platooning, actual benefits would strongly depend on the adopted technology and the operational conditions of the system. This paper investigates the potential for truck platooning to reduce carbon emissions from road freight, presenting a series of scenarios that vary by adoption rates, operational models and platoon size. Scenarios were co-designed with freight stakeholders to build a Truck Platooning Roadmap (2025–2050), considering a specific case study: the UK. Polluting emissions and related external costs are calculated across the different scenarios. Results show that there is high uncertainty for the adoption of truck platooning, with a potential first phase involving a small pool of low-automated trucks, and a second phase with a larger pool of high-automated trucks, reflecting higher economic and environmental benefits. A series of other technological and policy considerations are presented to support policymakers to draw a zero-carbon road freight strategy. [ABSTRACT FROM AUTHOR]

The design of energy and climate policy is usually seen as an 'expert' domain, relying on technical tools such as economic analysis. However, policy requires the support of politicians and citizens alike, through the democratic process. Many policies, such as reducing carbon emissions from homes and transport, also affect people's lives directly. It is thus necessary to supplement technical analysis with methods that allow an exploration of people's views, values and behaviours. One such method is codesign, whereby groups of citizens work with policy analysts to develop strategies informed by the lived experience of citizens, as well as the specialist knowledge of analysts. There is a history of co-design approaches in public services such as healthcare, but there have been few attempts to co-design public policy measures. This paper reports on a Citizens' Panel, a representative group of people working with specialists to create co-designed policy recommendations for reducing carbon emissions from homes. The process revealed that policy co-design can provide detailed, viable proposals. In this case, panellists emphasised the necessity of leadership and support from government; tailored, consistent information; targeted regulation; and financial incentives. Finally, the wider potential role for policy co-design for energy and climate is addressed. • Co-design processes are widely used but rarely applied to the design of energy and climate policy. • Co-design processes can embed citizen perspectives in policy design. • The paper reports on an experimental panel on home energy decarbonisation. • Co-design can ensure that policies are effective and will gain support of politicians and publics. • Changes to cultures of policymaking are needed to embed such approaches. [ABSTRACT FROM AUTHOR]

This paper assesses how the use of genetically modified seed (GM) crop seed technology has impacted on greenhouse gas emissions at a global level. The main technologies of relevance are crops modified to be tolerant to specific herbicides so as to facilitate improved weed control and crops resistant to a range of crop insect pests that otherwise damage crops or typically require the application of insecticides to control them. Over the 24 year period examined to 2020, the widespread use of GM insect resistant and herbicide tolerant seed technology has led to important cuts in on-farm fuel use and facilitated farmers moving from plow-based systems to reduced and no tillage systems that they have continued to operate for a number of years. This has led to a significant reduction in the release of greenhouse gas emissions from the GM cropping area, which in 2020 was equal to a saving of 23,631 million kg of carbon dioxide, equivalent to taking 15.6 million cars off the road for a year (equal to 49% of registered cars in the UK). [ABSTRACT FROM AUTHOR]

Government policies during the COVID-19 pandemic have drastically altered patterns of energy demand around the world. Many international borders have been closed and populations have been confined to their homes, which has reduced transport and changed consumption patterns. A decrease in CO2 emissions and pollution has thus been recorded during forced confinements. This has offered a glimpse of how the world might look like with a drastic reduction of human impact. The present paper explores how facts are framed in news discourse and investigates the recontextualization of the environmental issue in news media. The study analyses a collection of news articles about the consequences of coronavirus on the environment published on the websites of the major news channels in the UK, namely BBC News and Sky News. This CDA investigation studies how the UK news outlets re-mediated scientific knowledge about climate change to emphasise or minimise the positive consequences of confinement on the planet. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to investigate the carbon emission disclosures (CED) and performance of UK higher educational institutions (HEIs) and the associated impact on their environmental reputation. The paper argues that HEIs possess distinct characteristics that make comparisons with profit-oriented companies problematic and misleading. Design/methodology/approach: The green score published by the People and Planet organisation provided the population for this analysis. All universities with a 2012 score were entered into the initial sample. The association between green reputation, CED and carbon performance was examined using a robust least squared regression model. The green score published in 2019 was then compared with this to confirm whether the findings still held. Findings: CED, carbon emissions and carbon audit were found to have highly significant determinant relationships with HEIs' green reputation status at a 1% significance level. Research limitations/implications: The impact of CED and carbon performance indicators needs to have a clear relationship with reputation to motivate HEIs to act and disclose. Originality/value: The study is distinct in investigating the impact of CED and carbon performance by UK HEIs on their environmental reputation. The study shows whether, and how, the HEI CED and carbon performances contribute towards their environmental reputation. HEIs have distinct characteristics from profit-seeking organisations and thus tailored research is required. [ABSTRACT FROM AUTHOR]

• Trapping indices stabilization is lagged as injection period is active. • Greater CO 2 cumulative volume occurs as reservoir pressure is far from caprock fracture pressure. • Larger closures will require pressure management-based brine production to reach theoretical storage capacity. • ML-based CO 2 storage modelling preliminary de-risked saline aquifers lacking numerical models. This paper presents a machine learning (ML) model designed to speed up the appraisal of geologic CO 2 storage sites by predicting the effectiveness in trapping and accommodating CO 2 in saline aquifers. Considering the urgency of de-risking as much geologic CO 2 storage resources as possible to help with CO 2 emission reduction Paris' goal, ML-based reservoir modelling has been documented as proper tool when a faster, good approximate, and less expensive approach is needed to surrogate multiple assessments of storage sites traditionally performed by long-timeframe and multi-stage geologic CO 2 storage numerical modelling approach. In this paper, a case study is presented. It consisted of a dataset comprised of six geologic aquifer parameters (CO 2 residual saturation, horizontal permeability, vertical to horizontal permeability ratio, porosity, brine salinity, and CO 2 flow rate) and elapsed time as input data, and as output data the CO 2 trapping mechanism indices (Solubility Trapping Index, Residual Trapping Index, and Structural Trapping Index) along with the dynamic storage capacity (CO 2 injected volume). Such dataset was used to train and test the artificial neural network (ANN) model. The dataset was generated from thousands of post-processed numerical realizations at several injection periods by applying design of experiment using a synthetic aquifer model derived from the Bunter Sandstone Closure 36 aquifer numerical model, from the Southern North Sea. The ANN architecture designed in Python consisted of 3 hidden layers and 40 nodes and its performance was assessed using the coefficient of determination (R2) and root mean squared error (RMSE). The ANN performance showed accuracies (R2) for training and testing with 96% and 95% of precision respectively. Practical application of the ANN model was successfully implemented to CO 2 storage aquifer sites selected from CO2Stored® database which lacking numerical models (Bunter Closure 3, 9, 35, and 40), obtaining at the end of 100-years injection case a Structural, Residual, and Solubility Trapping Index averaging 83%, 11%, and 6% respectively, with low variation coefficient indicating that trapping indices were predicted properly because aquifers selected for ANN model application have similar structures (dome-like shape) and reservoir properties. In addition, CO 2 injected volume predictions for 100-years injection case were ranging from 397 to 456 million ton (Mt) totalling 2.1 giga ton (Gt) of potential storage capacity which represents 70% of total theoretical volumetric capacity. These results show the significant impact to accelerate geologic CO 2 storage sites assessment by implementing ML-based modelling to preliminary de-risking groups of saline aquifers and reasonably consider them technically feasible CO 2 storage sites in UK. [ABSTRACT FROM AUTHOR]

Background: Clinical activity accounts for 70–80% of the carbon footprint of healthcare. A critical component of reducing emissions is shifting clinical behaviour towards reducing, avoiding, or replacing carbon-intensive healthcare. The objective of this systematic review was to find, map and assess behaviour change interventions that have been implemented in healthcare settings to encourage clinicians to reduce greenhouse gas emissions from their clinical activity. Methods: Studies eligible for inclusion were those reporting on a behaviour change intervention to reduce carbon emissions via changes in healthcare workplace behaviour. Six databases were searched in November 2021 (updated February 2022). A pre-determined template was used to extract data from the studies, and risk of bias was assessed. The behaviour change techniques (BCTs) used in the interventions were coded using the BCT Taxonomy. Results: Six full-text studies were included in this review, and 14 conference abstracts. All studies used a before-after intervention design. The majority were UK studies (n = 15), followed by US (n = 3) and Australia (n = 2). Of the full-text studies, four focused on reducing the emissions associated with anaesthesia, and two aimed at reducing unnecessary test ordering. Of the conference abstracts, 13 focused on anaesthetic gas usage, and one on respiratory inhalers. The most common BCTs used were social support, salience of consequences, restructuring the physical environment, prompts and cues, feedback on outcome of behaviour, and information about environmental consequences. All studies reported success of their interventions in reducing carbon emissions, prescribing, ordering, and financial costs; however, only two studies reported the magnitude and significance of their intervention's success. All studies scored at least one item as unclear or at risk of bias. Conclusion: Most interventions to date have targeted anaesthesia or pathology test ordering in hospital settings. Due to the diverse study outcomes and consequent inability to pool the results, this review is descriptive only, limiting our ability to conclude the effectiveness of interventions. Multiple BCTs were used in each study but these were not compared, evaluated, or used systematically. All studies lacked rigour in study design and measurement of outcomes. Review registration: The study was registered on Prospero (ID number CRD42021272526) (Breth-Petersen et al., Prospero 2021: CRD42021272526). [ABSTRACT FROM AUTHOR]

This paper's objective is to investigate the validity of the Environmental Kuznets Curve (EKC) hypothesis utilizing three unique approaches in this era of accelerating climate change and economic volatility. The first step is to introduce and employ a new cointegration test which allows smooth and sharp structural changes through a dummy variable and a Fourier function. Using a time-varying causality approach, the second stage is to assess the EKC hypothesis's validity for each year of a given period, as opposed to the entire period. The third stage is to conduct time-varying analyses not only of the effect of Gross Domestic Product or aggregate income on environmental degradation but also of the effects of the four major economic units' incomes, namely those of the government, non-financial corporations, households, and the rest of the world. This research derives three conclusions using the United Kingdom as a case study from 1830 to 2016. The impacts of aggregate income and the incomes of the three economic units on carbon emissions are consistent with the EKC hypothesis. Second, each of these effects occurs at different times. Thirdly, the EKC hypothesis regarding the association between the nation's trade income and carbon emissions cannot be validated. To provide policymakers with a dynamic, unit-specific, and effective strategy for mitigating environmental degradation, the paper proposes testing the EKC hypothesis for each year over a specific time period, as well as for the effects of both aggregate income and the disaggregate income of four major economic units. • Explains why to estimate income-emissions nexus using disaggregate income data. • Introducing base models for estimating a disaggregate income-emissions nexus. • Illustrating how to make this estimation using time-varying causality analysis. • Aggregate and disaggregate incomes affect emissions differently over time. • Accurate, precise, and specific policy strategies require disaggregate income data. [ABSTRACT FROM AUTHOR]

Food supply chains hold significant embodied carbon emissions that need to be mitigated and neutralized. This study aimed to explore the historical Greenhouse Gas (GHG) emissions associated with household food consumption at a local scale i.e. across the eight English regions and the four nations that comprise the United Kingdom (UK). UK EatWell guidelines were used to explore the potential change in emissions and food costs in a scenario of transitions to healthier diets across the study areas. These emissions were calculated based on food consumption data before the advent of the Covid-pandemic i.e. between the years 2001 and 2018. Spatial data analysis was used to explore if the study areas had any significant correlations with respect to the emissions during the study period. The results displayed a potential reduction in GHG emissions for all study areas in the explored scenario. Further impacts include a reduction in household food costs across a majority of the areas during the study period. However, a consistent trend of significant correlations among the study areas was absent. This study concludes that local or regional policymaking should take precedence over national regulations to achieve healthier diets that are both carbon-neutral and affordable for the households. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach: This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings: SMEs face significant barriers towards the adoption of greener business and sustainability practices, but many are caused internally rather than externally. Originality/value: The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format. [ABSTRACT FROM AUTHOR]

• Experimental study into the load carrying capacity of straw bale wall assemblies. • Characterised and compared the vertical load carrying performance without and with plaster coatings. • Studied the effect of wall height, plaster use, and load eccentricity on compressive resistance. • Results from 29 wall tests presented. To reduce the significant carbon emissions associated with construction materials, there is growing recognition of the potential for bio-based resources, including materials derived from agricultural crops such as straw, hemp and flax. The biogenic carbon stored with plant based materials can significantly reduce carbon emissions compared to other products. Uses of bio-based materials are however generally limited to non-structural, in particular as insulation, but in contrast to many other solutions straw bales can also be used structurally in low-rise construction. Despite the use of straw bales for over 100 years there is still relatively little known about their compression performance, and there are no recognised guides or standards to support structural engineers. This paper describes an experimental study into the load carrying capacity of straw bale wall assemblies. In keeping with practice in the UK, and different to previous North American studies, the wall plates do not directly bear onto the plaster coats. The aim of the paper is to characterise and compare the vertical load carrying performance of straw bale walls without and with plaster coatings, and study the effect of wall height, plaster use, and load eccentricity on compressive resistance. A series of wall assemblies were built from stacking 1 m long wheat straw bales. Wall assembly heights varied with the number of bale courses: one, two, three and four bales high. In total results from 29 tests are presented. Key findings of the study concern the influence of load eccentricity, use of plaster and wall geometry on compression performance. In the absence of national guidance, the results of this experimental study will support structural engineers designing loadbearing straw bale walls. [ABSTRACT FROM AUTHOR]

• Utilizes 111 expert interviews and 50 site visits to examine UK industrial decarbonization. • Explores sociotechnical pathways, capabilities, and learning processes. • Harnesses a challenge-oriented regional innovation systems (CoRIS) framework. • Reflects on deeper issues of incumbency, innovation, and incremental vs. transformative change. Few sectors in the global economy need deep decarbonization as much as heavy industry, which is currently the largest and fastest growing source of global carbon emissions. Based on an original dataset of 111 expert interviews and 52 site visits, this paper asks: what sociotechnical pathways, capabilities, and regional innovation systems are emerging to support industrial decarbonization? It combines and applies insights from evolutionary economic geography and transitions studies, such as sociotechnical capabilities and learning, as well as spatial frameworks such as challenge-oriented regional innovation systems (CoRIS) and green industrial restructuring. It utilizes these collective concepts of pathways, capabilities and CoRIS to explore the organizational and technological, individual, and systems level dimensions of industrial decarbonization efforts ongoing across Great Britain. We find that within industrial net-zero clusters, spatial and technological proximities are being effectively leveraged, especially through new forms of networking, collaboration, and partnerships. CoRIS provides the basis for greater reflection on perennial transitions issues, both within and across clusters, related to incumbency and innovation, in addition to spotlighting emergent issues such as light versus deep green restructuring and incremental versus transformative change. In simpler terms, industrial decarbonization unfolds as a multi-scalar process. Industrial decarbonization exhibits both incremental and transformative patterns of change. Industrial decarbonization lastly involves dynamic processes that coevolve across a spectrum of sociotechnical attributes. [ABSTRACT FROM AUTHOR]

In addition to radical reduction of greenhouse gas emissions, large-scale removal of anthropogenic CO2 will be required to mitigate the impacts of global warming. However, many greenhouse gas removal (GGR) methods remain at a nascent stage of development. A case study was carried out on the application of the collective intelligence (CI) model to the UK GGR sector and the need to scale up and accelerate development in an economically, socially and environmentally sustainable way. Through systems mapping, thematic analysis, workshops and semi-structured interviews, a rich dataset was formed on the existing level of and potential for CI within the UK GGR ecosystem. It was found that implementing CI thinking could address the need for increasing the visibility of the system and its workings to participants and the public. This would contribute to the formation of coherent, shared vision for the role of GGR in the UK's net zero strategy. It is proposed that these risks could be mitigated by creating a publicly accessible 'commons' to visualise the UK GGR ecosystem process, dynamics, components, and goals, allowing innovation policy to be more responsive to innovator and net zero policy needs. Increasing ecosystem awareness could lay the foundations for sharing of information, promotion of a more collective culture, and increased transparency and accountability, all of which are critical building blocks in establishing a robust GGR sector for the future. [ABSTRACT FROM AUTHOR]

The climate crisis is driving a rapid increase in size and number of offshore wind farms to reduce carbon emissions from electricity generation. However, there are concerns about the potential impact of offshore wind farms on the marine environment. Seabirds are considered to be at risk of being displaced from preferred foraging habitat, by construction and operation of offshore wind farms, resulting in reduced energy intake or elevated energetic costs and consequent decreases in survival and/or productivity. Typically, displacement or avoidance behaviour is assessed by comparing abundance and spatial distributions of seabirds before and after an offshore wind farm is constructed. However, seabird distributions are highly variable through time and space and so discerning a change in distribution caused by an offshore wind farm from other environmental variables can be challenging. We present a new method that controls for temporal variation by examining the location of individual seabirds relative to turbines. Mean seabird density at different distances from individual turbines (0-400m) was calculated from data collected on a total of 12 digital aerial surveys of the Beatrice Offshore Wind Farm (UK), in May-August in 2019 and 2021. Mean densities of common guillemot (Uria aalge), razorbill (Alca torda), Atlantic puffin (Fratercula arctica) and black-legged kittiwake (Rissa tridactyla), both flying and sat on the water, were calculated. If the presence of turbines had no effect on seabird distribution, there should be no relationship between distance from turbine and seabird density. This was tested by simulating a relocation of turbines, relative to seabird distribution, and recalculating seabird density over 0-400m from simulated turbine locations. This was repeated to generate a bootstrapped distribution of expected densities against which observed density was compared. If displacement was occurring, mean observed density close to turbines would be significantly lower than expected density, derived from the bootstrap distribution. Overall, observed mean density did not differ significantly from expected density, i.e. no displacement effect was detected. There was a slight tendency for guillemot and razorbill, when sat on the water, to be at higher densities than expected, near turbines, suggestive of possible attraction to turbines, and for flying birds to be at lower densities than expected, near turbines, suggestive of possible avoidance. No flying razorbills were recorded within 100m of turbines but sample sizes were small. Kittiwake tended to show no avoidance or attraction behaviour, although flying kittiwake density was slightly lower than expected at 200m from turbines. Puffins sat on the water were recorded in densities similar to the expected density. Overall, no effect of turbine rotor speed was found, i.e. birds were not more likely to be displaced/avoid turbines at higher or lower rotor speeds. The results of the turbine relocation analysis gave a more consistent and more easily interpreted assessment of displacement/avoidance behaviour than the typical approaches of comparing abundance and seabird distribution through time. We strongly encourage application of this new approach to post-construction spatial distribution data from other offshore wind farms, to build the evidence base on the effects of offshore wind farms on seabirds. [ABSTRACT FROM AUTHOR]

Energy poverty is driven by four factors: poverty; high energy prices; energy-inefficiency; and specific household characteristics. Increasingly refined definitions of energy poverty (and/or vulnerability) identify types or locations of households most likely to be suffering it. But there is also a place for a different approach, considering poverty reduction directly, as poverty is a necessary component within all energy poverty definitions. This paper investigates how high the UK's top marginal tax rates would need to be, to provide funds to lift low-income UK households above the poverty threshold as defined by the low-income-high-cost (LIHC) and 10% energy poverty indicators. It finds that the increased top tax rates would still be in line with those of other European OECD countries. Using recent and new research on income elasticities of CO2 emissions, it then estimates the net direct effects on CO2 emissions of this redistribution. For both scenarios the most likely effect is a small reduction in net CO2 emissions. Further, indirect downward pressures on CO2 emissions due to reduced income among the highest earners are likely to lead to yet more favourable outcomes for net CO2 emission reduction. [ABSTRACT FROM AUTHOR]

Peat fires in the northern high latitudes have the potential to burn vast amounts of carbon-rich organic soil, releasing large quantities of long-term stored carbon to the atmosphere. Due to anthropogenic activities and climate change, peat fires are increasing in frequency and intensity across the high latitudes. However, at present they are not explicitly included in most fire models. Here we detail the development of INFERNO-peat, the first parameterization of peat fires in the JULES-INFERNO (Joint UK Land Environment Simulator INteractive Fire and Emission algoRithm for Natural envirOnments) fire model. INFERNO-peat utilizes knowledge from lab and field-based studies on peat fire ignition and spread to be able to model peat burnt area, burn depth, and carbon emissions, based on data of the moisture content, inorganic content, bulk density, soil temperature, and water table depth of peat. INFERNO-peat improves the representation of burnt area in the high latitudes, with peat fires simulating on average an additional 0.305×106 km 2 of burn area each year, emitting 224.10 Tg of carbon. Compared to Global Fire Emissions Database version 5 (GFED5), INFERNO-peat captures ∼ 20 % more burnt area, whereas INFERNO underestimated burning by 50 %. Additionally, INFERNO-peat substantially improves the representation of interannual variability in burnt area and subsequent carbon emissions across the high latitudes. The coefficient of variation in carbon emissions is increased from 0.071 in INFERNO to 0.127 in INFERNO-peat, an almost 80 % increase. Therefore, explicitly modelling peat fires shows a substantial improvement in the fire modelling capabilities of JULES-INFERNO, highlighting the importance of representing peatland systems in fire models. [ABSTRACT FROM AUTHOR]

A substantial number of dwellings in the UK have poor building fabric, leading to higher carbon emissions, fuel expenses, and the risk of cold homes. To tackle these challenges, domestic energy efficiency policies are being implemented. One effective approach is the use of energy models, which enable sensitivity analysis to provide valuable insights for policymakers. This study employed dynamic thermal simulation models for 32 housing archetypes representative of solid-walled homes in the UK to calculate the heat loss and the sensitivity coefficient per building fabric feature, after which a metric Heat Loss Sensitivity (HLS) index was established to guide the selection of retrofit features for each archetype. The building fabric features' inputs were then adjusted to establish both lower and upper bounds, simulating low and high performance levels, to predict the how space heating energy demand varies. The analysis was extended by replicating the process with various scenarios considering climates, window-to-wall ratios, and overshadowing. The findings highlight the external wall as the primary consideration in retrofitting due to its high HLS index, even at high window-to-wall ratios. It was also established that dwelling type is important in retrofit decision-making, with floor and loft retrofits having a high HLS index in bungalows. Furthermore, the analysis underlines the necessity for Standard Assessment Procedure assessors to evaluate loft U-value and air permeability rates prior to implementing retrofit measures, given the significance of these factors in the lower and upper bounds analysis. Researchers globally can replicate the HLS index approach, facilitating the implementation of housing retrofit policies worldwide. [ABSTRACT FROM AUTHOR]

In recent years, there has been a remarkable development in the technology and legislation related to electric and autonomous vehicles (i.e., EVs/AVs). This technological advancement requires the deployment of the most up-to-date supporting infrastructure to achieve safe operation. Further infrastructure is needed for Level 5 vehicles, namely the introduction of super-fast wireless 5G technology. To achieve harmony between the rapid technological advancement of EVs/AVs and environmental preservation, enacting legislation related to their sustainable use is vital. Thus, this manuscript provides a review of the technological development of EVs/AVs, with a special focus on carbon footprints and the implementation of additive manufacturing using recycled materials. While EVs have a 12.13% increased carbon footprint compared to conventional vehicles, AVs with basic and advanced intelligence features have an increased carbon footprint of 41.43% and 99.65%, respectively. This article emphasizes that the integration of 3D-printed components has the potential to offset this impact with a substantial 60% reduction. As a result, custom-made solutions involving 3D printing are explored, leading to greater speed, customization, and cost-effectiveness for EVs/AVs. This article also lists the advantages and disadvantages of the existing legislation in Spain, the United Kingdom, and the western Balkans, demonstrating various approaches to promoting electric mobility and the development of autonomous vehicles. In Spain, initiatives like the MOVES program incentivize EV adoption, while the UK focuses on expanding the EV market and addressing concerns about EVs' quiet operation. In the western Balkans, the adoption of legislation lags behind, with limited incentives and infrastructure for EVs. To boost sales, legal mechanisms are necessary to reduce costs and improve accessibility, in addition to offering subsidies for the purchase of EVs. To this end, an analysis of the incentive measures proposed for the development and use of renewable power sources for the supply of energy for EVs/AVs is presented. [ABSTRACT FROM AUTHOR]

Fuel forms a significant portion of the total expenditure for many commercial fishing vessels and in some cases, profitability can be dictated by fuel costs. In many nations, including the UK, these fuel costs are reduced by cost-reducing subsidies. There is evidence of growing support from various channels that public opinion is moving towards a reassessment of fuel subsidies. Analysis of the economics of the UK fishing fleet, using publicly available industry-supplied data, implies that the nominal annual value of fuel tax concessions for diesel is between £ 150–180 million per year (2009–2019). That support is largely provided to the most fuel-intensive fishing methods, such as mobile demersal trawls and dredges. Results show that, without the current fuel tax concession, several fleet segments would be deemed unprofitable. This paper outlines the current value of fuel tax concessions for fishing vessels and potential policy considerations for reform. • Foregone government revenue via fisheries fuel subsidies ranged between £ 150–180 m. per year. • UK fleet segments unprofitable without fuel subsidies assuming no changes in fuel use, engine efficiency or activity. • The most fuel intensive fleet segments are more likely to become unprofitable if fuel tax concessions were removed. [ABSTRACT FROM AUTHOR]

What happens to the impact of tourism on environmental degradation as the income level of the nations or regions increases? The Environmental Kuznets Curve (EKC) hypothesis asserts that the influence of tourism on CO2 emissions decreases with a rise in income levels. This study captures the role of governance in the tourism-induced EKC hypothesis in the European Union (EU), after Brexit. Given that the United Kingdom (UK) is the most visited country in the region, and tourism is a very vital instrument to economic stability and growth, it would be interesting to inspect the relationship among these variables without the UK. Auto-Regressive Distributed Lags (ARDL) estimates show that tourist arrivals decrease carbon emissions in the long-run, while per capita growth fosters carbon emissions in the long-run. In addition, Quantile Regressions (QR) reveal that, in general, the governance indicators have positive effects on emissions. Moreover, for the first quantile, the TEKC emerges. Finally, regarding the causality relationship, a unidirectional relationship from per capita growth to carbon emission, and from carbon emission to tourism arrivals emerge, while no causal link exists between energy consumption and carbon emissions. Moreover, a feedback mechanism (bidirectional causality) is discovered between per capita growth and tourism arrivals, and energy consumption as per capita growth. [ABSTRACT FROM AUTHOR]

Dynamic tariffs play an important role in demand response, contributing to smoothing power consumption and reducing generation capacity requirement and carbon emission. However, in the existing works, tariffs are usually designed without comprehensive consideration, such as potential user responses to tariffs. Thus, assuming an electricity trading market contains a utility company and multiple residential users, a dynamic tariff design method is proposed in this paper, considering user responses to tariff changes. Leveraging the non-intrusive load monitoring technique, rated power and user preference features for each appliance are acquired by the utility company to quantify user comfort (discomfort) based on derived user appliance usage habits. Then, a bi-level Stackelberg game model is built on the supply side for designing optimal dynamic tariffs and imitating the influence of tariff changes on DR plans for users. The upper level represents the utility company, trying to maximize utility profit, social welfare and carbon emission reduction. While the lower level represents users, aiming to minimize electricity bills and user discomfort. By solving such an optimization problem with multiple objectives, a novel hybrid probabilistic multi-objective evolutionary algorithm balancing evolutionary efficiency and stability is applied where random forest is adopted to boost performance. The proposed model is benchmarked with two state-of-the-art pricing methods and validated on a publicly accessible REFIT dataset, where low-rate power measurements are collected from real houses in the UK. The experimental results show the proposed model generally outperforms benchmarks on dynamic tariff design in achieving peak-shaving and low carbon emission while preserving user satisfaction. Furthermore, a case study is implemented, which verifies the necessity of various objectives employed in the proposed method. • A bi-level Stackelberg game model for designing tariff based on user demand response. • Electricity-consuming feature extraction on non-intrusive load monitoring results. • A hybrid probabilistic multi-objective algorithm balancing efficiency and stability. • A random forest classifier for reducing computational complexity in late iterations. • Extensive case studies on evaluating objectives and visualizing optimization process. [ABSTRACT FROM AUTHOR]

This study assesses the role of government spending on environmental sustainability based on a framework that combines the environmental Kuznets curve (EKC) hypothesis with the Armey curve hypothesis. Specifically, the inverted U-shaped relationships between carbon (CO2) emissions and economic growth (EKC hypothesis) and between government spending and economic growth (Armey curve hypothesis) are analyzed using a composite EKC model tested for cross-sectional dependence and heterogeneity, panel unit root, panel co-integration, and the augmented mean group estimation. In so doing, this study pursues a potential transmission mechanism leading from government spending to CO2 emissions through the growth channel and presents a novel way to develop a better understanding of how economic growth policy and energy policy can be synchronized. Empirical results show that economic growth acts as a transmitter between government spending and CO2 emissions in the USA, UK, and Canada. However, the composite EKC hypotehesis is confirmed only for the USA and Canada, where the optimal level of government spending that maximizes CO2 emissions is 29.87% and 29.22% of GDP, respectively. In contrast, the optimal level of government spending equivalent to 28.30% of GDP minimizes CO2 emissions in the UK. The key policy implication is that governments can achieve sustainable economic growth by setting standards for their spending levels. [ABSTRACT FROM AUTHOR]

Purpose: The authors explore the behaviour and perspectives of SMEs' owners towards a greener economy and its implications for net zero carbon emissions target. Design/methodology/approach: The authors draw on the mirroring concept and 26 semi-structured interviews with SMEs' owners and managers to provide insights and explore the misalignment between SMEs' actions and perceptions and the technical architecture (and requirements) of achieving net zero carbon emissions in the UK. Findings: The authors find that SMEs lack trust and are sceptical about the government's net zero emissions agenda. The authors also find that lack of understanding and perceived benefits, and supply chain complexities (end-to-end emissions) are the key factors hindering SMEs interests in engaging with better carbon emissions management and environmental management system (EMS). Moreover, pressure from external stakeholders, particularly banks and customers, is a strong driver to draw SMEs more effectively with sustainability and environmental impact disclosure. Research limitations/implications: The sample is limited to 26 SMEs' owners operating in seven industries. Future research could explore the result in other industries. Further research could also investigate how the sustainability reports produced by SMEs are useful for different user groups' decision-making. This study reinforces the social constructionist approach to advance our understanding of SMEs' actions towards carbon emission management and EMS. Practical implications: This study shows how government policies and SMEs' interests can be aligned to achieve the net zero carbon emissions target. Originality/value: This is the first study to examine the perceptions and behaviour of SMEs towards the ongoing pursuit of a greener economy in the UK, including the key factors driving their actions and reasoning. [ABSTRACT FROM AUTHOR]

Purpose: Last mile distribution is a crucial element of any supply chain network, and its complexity has challenged established practices and frameworks in the management literature. This is particularly evident when demand surges, as with recent lockdowns due to the COVID-19 pandemic and subsequent demand for home delivery services. Given the importance of this critical component, this study recommends horizontal collaboration as a possible solution for retailers seeking to improve the quality of their services. Design/methodology/approach: This study investigates whether horizontal collaboration should be considered as an option for faster and greener distribution of groceries ordered online. Using the United Kingdom and Greek grocery markets that differ in terms of online grocery penetration, distribution network structure and delivery times, the study discusses how the effectiveness of pooling resources can create positive spillover effects for consumers, businesses and society. Findings: Despite their differences, both markets indicate the need for horizontal collaboration in the highly topical issue of last mile delivery. Originality/value: Taking a theoretical and practical view in cases of disruption and constant pressure in last mile distribution, horizontal collaboration supports retailers to coordinate routes, increase fleet and vehicle utilisation, reduce traffic and carbon emissions while improving customer satisfaction. [ABSTRACT FROM AUTHOR]

The biodiversity and climate crises demand ambitious policies lowering the environmental impacts of farming. Most current interventions incentivise so‐called land‐sharing approaches to address the widespread trade‐off between farm yields and on‐farm environmental outcomes by compensating farmers who adopt yield‐reducing interventions that encourage wildlife or reduce net emissions within farmed land.Here, we present the first quantification of the likely costs to taxpayers of land sharing compared with land sparing, in which large areas are removed from production altogether because of high‐yielding practices elsewhere in the landscape. Focusing on arable production in the United Kingdom, we used a choice experiment to explore farmer preferences and estimated the overall costs of contrasting agri‐environment schemes that delivered increased populations of three well‐studied farmland birds and reduced net carbon emissions in England. We included capital, administration and monitoring costs, and lost food production.Sparing delivered our target biodiversity and carbon emission outcomes at 79% of the food production cost and 48% of the taxpayer cost of sharing. The difference in subsidy payments required by farmers roughly tracked lost food production but other costs favoured sparing even more strongly.The cost‐related merits of sparing would probably increase further in studies incorporating (1) the many species and ecosystem services not deliverable on farmland, (2) the costs of food imports to compensate domestic lost production and (3) countries without as long and extensive a history of agriculture as the United Kingdom.Our results suggest that, for at least some conservation outcomes, continuing a land‐sharing approach in countries such as the United Kingdom is not only an inefficient use of government funds but also undermines conservation and food security in food‐exporting countries which bear the burden of compensating domestic production forgone in the name of conservation. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Financial transactions are increasingly used by consumer apps and financial service providers to estimate consumption-based carbon emissions. This approach promises a low-resource, ultra-fast, and highly scalable approach to measuring emissions at different levels of potential policy intervention--spanning the national, subnational, local, and individual level. Despite this potential, there is a lack of research exploring the validity of this approach to carbon profiling. Here we address this oversight in three ways. First, we provide a step-by-step description of our approach toward estimating carbon footprints from micro-level transaction data generated by more than 100,000 customers of a large retail bank in theUnitedKingdom. Second, we quantitatively compare emission estimates obtained from transaction data with those calculated from a more standard data source used in carbon profiling, the largest household expenditure survey in the United Kingdom. Third, we offer a detailed qualitative comparison of the advantages and disadvantages of transactions versus alternative data sources (such as survey data), across key dimensions including data availability, data quality, and data detail. We find that financial transactions offer a credible alternative to survey-based sources and, if made more widely accessible, could provide important advantages for profiling emissions. These include objective, micro-level data on consumption behaviors, larger sample sizes, and longitudinal, frequent data capture. [ABSTRACT FROM AUTHOR]

The UK government has committed to reducing its carbon emissions to net-zero by 2050. Higher education institutions (HEIs) are high energy users, with the largest proportion of their energy demand for space heating; an area still dominated by carbon-intensive fuels. This research addresses the UK HEI space temperature policy landscape, making direct links between space temperature policy and carbon management, advocating the development of evidence-based policies as a critical tool for reducing carbon emissions within the sector. Sixty-six space temperature policies were reviewed, and five experienced energy managers were interviewed to understand the range, development and use of space temperature policies in UK HEIs. The research identified a lack of consistency across these policies, leading to missed opportunities for making energy and carbon savings. The research highlights gaps in the available data and literature needed to connect policy to its effectiveness, and identifies the use of policy as a defensive tool against complaints rather than an active driver of energy reduction. A series of recommendations are proposed for national and institutional policymakers, suggesting areas for improvement and future research to facilitate effective development and practice in space temperature policy towards net-zero. [ABSTRACT FROM AUTHOR]

• CO 2 and NO x emission trends from the van sector in Great Britain are investigated. • Scenarios designed based on phasing out internal combustion engine vans by 2030. • The tailpipe net-zero target will be reached by 2050 under all scenarios. • A rapid transition to electric vans could achieve a substantial emission reduction. As a major emission contributor with significant growth potential, the light goods vehicles (vans) play an important part in achieving net-zero. In 2020 the UK government committed to phasing out sales of new internal combustion engine (ICE) vans by 2030, but the impact of the policy and how far are we to decarbonize the entire van fleet by 2050 is unclear. This paper investigates the CO 2 and NO x emission trends in the van sector in Great Britain under the 2030 ICE phase-out. ECCo model 1 1 http://www.element-energy.co.uk/sectors/low-carbon-transport/project-case-studies/ is used to forecast the future van population by powertrain. The annual van mileage is estimated based on the van activity survey 2 2 https://www.gov.uk/government/statistics/van-statistics-2019-to-2020. The instantaneous emission model PHEM, NAEI emissions inventory and remote sensing measurements are used to parameterize real-world driving emission factors of CO 2 and NO x. Scenarios have been set out to assess the impact of enablers and barriers affecting the pace of emission reductions. Results suggest vans are on track to reach the tailpipe net-zero target by 2050 under all scenarios, and the speed of NO x reduction is even faster. A rapid transition to battery electric vans in the early to mid-2020s will significantly lower CO 2 , with associated estimated monetary benefits of £1.3 billion. [ABSTRACT FROM AUTHOR]