ORCID Profile
0000-0002-3043-1122
Current Organisation
Kyushu University
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Publisher: Elsevier BV
Date: 10-2018
Publisher: Research Square Platform LLC
Date: 13-05-2022
DOI: 10.21203/RS.3.RS-1627627/V1
Abstract: Footprint indicators are used to evaluate chemical substance management. However, determining the impact of chemical restrictions on manufacturing processes and supply chains without a footprint analysis of the entire lifecycle is difficult. Here, we propose a new framework for estimating chemical toxicity footprints utilizing the risk-screening environmental indicators (RSEIs) published by the U.S. Environmental Protection Agency. We conducted an empirical analysis using multi-states input–output data from the U.S. in 2017 to demonstrate the usefulness of the framework, and made policy recommendations based on the obtained results. According to the production-based RSEI scores, Texas, Pennsylvania, Illinois, and Louisiana accounted for 43% of the total human health risk in the U.S. By contrast, California and New York ranked first and second in consumption-based RSEI score (i.e., health risk footprint), respectively however, the District of Columbia and Alabama ranked first and second in per capita footprint. Three significant risk transfers, accounting for 6% of the total in the U.S. economy, were found: from California to Texas, from New York to Texas, and from Florida to Texas. In conclusion, specific states such as Texas and Louisiana were at considerable risk from major chemical substance emissions triggered by final demands in mega cities such as New York and California. Thus, the federal and state governments should select high priority sectors and states according to the production-based RSEI scores. Relevant taxes can be collected from states based on the consumer’s responsibility. Footprint-based inter-state financial cooperation is crucial in mitigating chemical pollutions in the U.S.
Publisher: Springer Science and Business Media LLC
Date: 22-05-2018
Publisher: Springer Science and Business Media LLC
Date: 21-09-2016
Publisher: Elsevier BV
Date: 09-2015
DOI: 10.1016/J.JENVMAN.2015.06.054
Abstract: This study estimates the environmental efficiency of international listed firms in 10 worldwide sectors from 2007 to 2013 by applying an order-m method, a non-parametric approach based on free disposal hull with subs ling bootstrapping. Using a conventional output of gross profit and two conventional inputs of labor and capital, this study examines the order-m environmental efficiency accounting for the presence of each of 10 undesirable inputs/outputs and measures the shadow prices of each undesirable input and output. The results show that there is greater potential for the reduction of undesirable inputs rather than bad outputs. On average, total energy, electricity, or water usage has the potential to be reduced by 50%. The median shadow prices of undesirable inputs, however, are much higher than the surveyed representative market prices. Approximately 10% of the firms in the s le appear to be potential sellers or production reducers in terms of undesirable inputs/outputs, which implies that the price of each item at the current level has little impact on most of the firms. Moreover, this study shows that the environmental, social, and governance activities of a firm do not considerably affect environmental efficiency.
Publisher: MDPI AG
Date: 18-01-2018
DOI: 10.3390/SU10010244
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 2021
Publisher: MDPI AG
Date: 09-10-2022
DOI: 10.3390/EN15197406
Abstract: An energy transition is in progress around the globe, notably led by an increase in the deployment of renewable energy and a shift toward less emissions-intense options, notably in the transportation sector. This research investigates the potential role that new transportation options, namely flying vehicles, may play toward progressing the energy transition. As flying vehicles are a relatively new technology yet to penetrate the market, it is also prudent to consider the ethical, legal, and social issues (ELSI) associated with their implementation, alongside the potential energy and environmental impacts. Through a review of ELSI and energy and environmental literature, we identify research gaps and identify how flying vehicles may impact upon the energy transition over time. Our research identifies several critical aspects of both ELSI and energy and environmental academia relevant to the future deployment of flying vehicles and describes a deployment timeline and the resultant societal outcomes. We find that flying vehicles could drive the energy transition and the hydrogen economy and that their widespread adoption could engender shared socio-environmental benefits. Our findings are relevant to transportation and environmental policymakers and identify critical considerations for the planned introduction of new, shared transportation options to the market, conducive to a sustainable energy transition.
No related grants have been discovered for Hidemichi Fujii.