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This paper attempts to identify whether declining industrial pollution intensities in many European countries are a result of reductions in sectoral emissions intensities (i.e. the effects of regulations and technology) or changes to the product mix (e.g. the decline of heavy industries). This distinction is important since reductions in pollution that are a result of changes to the product mix may simply reflect a transfer of pollution from one country to another, rather than a net reduction. We attempt to resolve this issue by applying the divisia decomposition technique to a new dataset of industry-specific emissions intensities for three common air pollutants, for four European countries. Our results generally indicate the dominance of the sectoral intensity effect although, for the UK in particular evidence of an increasingly clean product mix is found. [ABSTRACT FROM AUTHOR]

The article demonstrates the need for a sophisticated analysis to quantify air quality impacts of interventions and indicate that true air quality improvements. It mentions that how Covid-19 lockdowns led to major reductions in air pollutant emissions. It discusses about the climatic challenges faced by the Covid-19 pandemic.

Economically viable electric vehicle lithium-ion battery recycling is increasingly needed; however routes to profitability are still unclear. We present a comprehensive, holistic techno-economic model as a framework to directly compare recycling locations and processes, providing a key tool for recycling cost optimization in an international battery recycling economy. We show that recycling can be economically viable, with cost/profit ranging from (-21.43 - +21.91) $·kWh -1 but strongly depends on transport distances, wages, pack design and recycling method. Comparing commercial battery packs, the Tesla Model S emerges as the most profitable, having low disassembly costs and high revenues for its cobalt. In-country recycling is suggested, to lower emissions and transportation costs and secure the materials supply chain. Our model thus enables identification of strategies for recycling profitability., Competing Interests: The authors declare no competing interests., (© 2021 The Authors.)

Mass adoption of electric vehicles (EVs) is anticipated in the years ahead, driven primarily by policy incentives, rising incomes, and technological advancements. However, mass adoption is predicated on the availability and affordability of the raw materials required to facilitate this transformation. The implications of material shortages are currently not well understood and previous research tends to be limited by weak representation of technological change, a lack of regional disaggregation, often inflexible and opaque assumptions and drivers, and a failure to place insights in the broader context of the raw materials industries. This paper proposes a CoMIT (Cost, Macro, Infrastructure, Technology) model that can be used to analyse the impact of mass EV adoption on critical raw materials demand and forecasts that, by 2030, demand for vehicles will increase by 27.4%, of which 13.3% will be EVs. The model also predicts large increases in demand for certain base metals, including a 37 and 18-fold increase in demand for cobalt and lithium (relative to 2015 levels), respectively. Without major changes in certain technologies, the cobalt and lithium supply chains could seriously constrain the widespread deployment of EVs. Significant demand increases are also predicted for copper, chrome and aluminium. The results also highlight the importance of China in driving demand for EVs and the critical materials needed to produce them., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2020 The Author(s).)

In the light of climate uncertainty and growing concern for the natural environment, an increasingly important aspect of global business is the environmental behaviour of firms. In this paper we consider the factors that influence firms' environmental actions (EAs). Our study of Argentinean firms concentrates on measures of environmental spillovers, informal and formal networks and absorptive capacity by testing four related hypotheses. We find that foreign-owned firms, large firms and those with a greater capacity to assimilate new environmental technologies are more likely to adopt EAs. We also show that formal and informal networks aid the adoption of EAs in the presence of traditional firm-level spillovers. Finally, we show that foreign-owned firms have different motives to domestic firms for undertaking EAs., (Copyright © 2014 Elsevier Ltd. All rights reserved.)