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SummaryEnvironmentally extended multiregional input‐output (EE MRIO) tables have emerged as a key framework to provide a comprehensive description of the global economy and analyze its effects on the environment. Of the available EE MRIO databases, EXIOBASE stands out as a database compatible with the System of Environmental‐Economic Accounting (SEEA) with a high sectorial detail matched with multiple social and environmental satellite accounts. In this paper, we present the latest developments realized with EXIOBASE 3—a time series of EE MRIO tables ranging from 1995 to 2011 for 44 countries (28 EU member plus 16 major economies) and five rest of the world regions. EXIOBASE 3 builds upon the previous versions of EXIOBASE by using rectangular supply‐use tables (SUTs) in a 163 industry by 200 products classification as the main building blocks. In order to capture structural changes, economic developments, as reported by national statistical agencies, were imposed on the available, disaggregated SUTs from EXIOBASE 2. These initial estimates were further refined by incorporating detailed data on energy, agricultural production, resource extraction, and bilateral trade. EXIOBASE 3 inherits the high level of environmental stressor detail from its precursor, with further improvement in the level of detail for resource extraction. To account for the expansion of the European Union (EU), EXIOBASE 3 was developed with the full EU28 country set (including the new member state Croatia). EXIOBASE 3 provides a unique tool for analyzing the dynamics of environmental pressures of economic activities over time.

We consider the problem of dispatching a fleet of distributed energy reserve devices to collectively meet a sequence of power requests over time. Under the restriction that reserves cannot be replenished, we aim to maximise the survival time of an energy-constrained islanded electrical system; and we discuss realistic scenarios in which this might be the ultimate goal of the grid operator. We present a policy that achieves this optimality, and generalise this into a set-theoretic result that implies there is no better policy available, regardless of the realised energy requirement scenario. Accepted for publication to the 2018 Power Systems Computation Conference (PSCC)

Before the COVID crisis, the Netherlands and the UK were embarking on national energy transitions away from fossil fuel systems. However, the arrival of the pandemic unequivocally altered the trajectory of energy transitions on a global scale. Every country in the world is now grappling with the twin challenges of the COVID crisis and the climate crisis, and there is a grave risk that the short-term demands of the former could eclipse the vital long-term actions needed to address the latter. While there is optimism that green economic recoveries will propel energy transitions through investments, there is an urgent need to assess and address any new policy barriers which COVID poses to achieving them. To do so, in the summer of 2020, researchers conducted pairs of interviews with 30 experts within the social and energy sectors, involving government, industry and third sector stakeholders. Key research questions sought to identify the policy barriers acting–inadvertently or otherwise–to disrupt that balance between tackling COVID and the energy transition, and the mechanisms available to restore the necessary equilibrium. Through a structured analysis of policy barriers to the energy transition post-COVID, we assess its delivery in both countries. We derive a new taxonomy and definition of policy barriers. We also generate a suite of 10 policy recommendations, which were placed in priority order by the interviewees themselves. The paper concludes with observations on those recommendations, the differences noted between the two countries, and the validity of using policy barriers for policy analysis.

Abstract Growing recognition of the need to tackle climate change and biodiversity loss together is leading to shifts in the global environmental governance landscape such that these two traditionally separate domains are increasingly interlinked. This process is taking place not at the level of the international policy regimes but rather through the work of transnational governance initiatives (TGIs) that connect state and non-state actors and which form an increasingly formalized part of the hybrid regime complexes through which global environmental governance is conducted. Central to these dynamics are ‘nature-based solutions’, interventions designed to work with nature to achieve multiple sustainability goals. In this paper, we demonstrate the ways in which TGIs frame and implement nature-based solutions. We show how this is leading to an evolution in market and asset-based responses to addressing these twin challenges and consider the wider consequences for how we understand what effective responses to the interlinked problems of climate and biodiversity entail.

Abstract Carbon Capture and Storage at industrial processes (industrial CCS) is expected to play an important role in reducing industrial CO2 emissions in the short term. Industrial CCS involves capturing CO2 from industrial processes, such as steel and cement making, and storing the CO2 underground. This study examined the public opinion of industrial CCS through an informed opinion survey in the Netherlands (N = 987) and the United Kingdom (UK; N = 974). On average, respondents were neutral to slightly positive about the implementation of industrial CCS in their country. UK respondents were slightly more positive (M = 4.66 on a 7-point scale) than Dutch respondents (M = 4.38). Awareness and perceived knowledge levels were somewhat higher in the Netherlands than in the UK. In both countries, perceived outcomes of industrial CCS (e.g. for climate change; safety; employment) were strongly associated with industrial CCS opinion, when compared to socio-demographics, proximity to industry (actual and perceived), and psychological variables. Differences between countries in outcome perceptions occur. For example, the safety of CO2 transport is a larger concern in the Netherlands than in the UK, while cost-control is a larger concern in the UK than in the Netherlands. These findings suggest that the national context for CCS implementation matters. Our research suggests that public engagement strategies will benefit from focusing on the economic and climate impacts of industrial CCS, as well as from building trust in industry and addressing perceived safety concerns surrounding different aspects of industrial CCS.

This paper introduces an integrative approach to hedonic house price modeling which utilizes high density 3D airborne laser scanning (ALS) data. In general, it is shown that extracting exploratory variables using 3D analysis – thus explicitly considering high-rise buildings, shadowing effects, etc. – is crucial in complex urban environments and is limited in well-established raster-based modeling. This is fundamental in large-scale urban analyses where essential determinants influencing real estate prices are constantly missing and are not accessible in official and mass appraiser databases. More specifically, the advantages of this methodology are demonstrated by means of a novel and economically important externality, namely incoming solar radiation, derived separately for each flat. Findings from an empirical case study in Vienna, Austria, applying a non-linear generalized additive hedonic model, suggest that solar radiation is significantly capitalized in flat prices. A model comparison clearly proves that the hedonic model accounting for ALS-based solar radiation performs significantly superior. Compared to a model without this externality, it increases the model’s explanatory power by approximately 13% and additionally reduces the prediction error by around 15%. The results provide strong evidence that explanatory variables originating from ALS, explicitly regarding the immediate 3D surroundings, enhance traditional hedonic models in urban environments.