Development of human health damage factors related to CO2 emissions by considering future socioeconomic scenarios

Tang, Longlong; Ii, Ryouta; Tokimatsu, Koji; Itsubo, Norihiro

doi:10.1007/s11367-015-0965-9

Cited by 48 publications

(38 citation statements)

References 5 publications

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“…We used the same proportions of disease contributions to total DALYs for each health damage factor reported in Tang et al 5 …”

Section: Resultsmentioning

confidence: 99%

“…We utilized health damage factors (in units of DALYs or additional deaths per mass unit of GHG emission) derived for integrated assessment by Tang et al 5 and de Schryver et al 6 Both groups used a multistep approach to assess relative risks to public health caused by climate change. First, the authors linked GHG emissions scenarios to expected temperature changes in various regions, based on global climate model results assembled by the Intergovernmental Panel on Climate Change (IPCC) to the year 2100.…”

Section: Methodsmentioning

confidence: 99%

“…First, the authors linked GHG emissions scenarios to expected temperature changes in various regions, based on global climate model results assembled by the Intergovernmental Panel on Climate Change (IPCC) to the year 2100. Tang et al 5 considered the 4 major emissions scenarios used by the IPCC in their 2001 and 2007 assessment reports, namely the Special Report on Emissions Scenarios (SRES): A1B (balanced emphasis on all energy sources), A2 (regionally oriented economic development), B1 (global environmental sustainability), and B2 (local environmental sustainability); de Schryver et al 6 just considered the A1B scenario. These scenarios reflected distinct rates of population growth and economic growth, levels of international cooperation, and energy technology focus.…”

Section: Methodsmentioning

confidence: 99%

“…The final health damage factors calculated by Tang et al 5 and de Schryver et al 6 ranged from 1.13 · 10 -8 to 1.76 · 10 -5 DALYs/kg CO 2 e emitted, depending on the socioeconomic and emissions scenarios considered, inclusion or exclusion of particular health effects, inclusion of potential adaptive responses, and the modeling parameters, such as the discount rate and the temperature change modeling time horizon (20 years, 100 years, or infinite).…”

Section: Methodsmentioning

confidence: 99%

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Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions

2018

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Objectives. To quantify the increased disease burden caused by US health care sector life cycle greenhouse gas (GHG) emissions of 614 million metric tons of carbon dioxide equivalents in 2013.Methods. We screened for health damage factors that linked GHG emissions to disease burdens. We selected 5 factors, based on appropriate temporal modeling scales, which reflect a range of possible GHG emissions scenarios. We applied these factors to health care sector emissions.Results. We projected that annual GHG emissions associated with health care in the T he central finding of The Lancet Commission on Health and Climate Change, that tackling climate change could be the greatest global health opportunity of the 21st century, resulted in several Commission recommendations to accelerate actions. These included the call for research to quantify disease burden and for health professional leadership to unite all actors behind the common cause of public health. 1The US health care system contributes significantly to country-wide air and water pollution, and hence, to pollution-related health damages.2 US health care activities were responsible for 9% to 10% of national greenhouse gas (GHG) emissions in 2013, which occurred both directly from health care facilities and vehicles, and in larger part, indirectly from upstream production of electricity, drugs, medical devices and supplies, and other goods and services that feed into the health care sector. In addition to GHG emissions, health careassociated emissions of several other types of pollutants were also quantified, 2 including those that contribute to acid rain (12% of the national total), photochemical smog (10%), and respiratory disease (9%). Public health damages from exposure to non-GHG emissions were subsequently estimated at 405 000 disabilityadjusted life-years (DALYs) annually. Most of these DALYs were attributable to particulate matter emissions. These health damages are comparable in magnitude to preventable medical errors, 2 but they are incurred indirectly by the general public rather than directly by patients. They are also partially preventable, because reducing wasted resources that do not benefit patient outcomes also reduces upstream emissions and their associated damages. 4 We considered the possible range of health damages from health care-related GHG emissions specifically. These damages were not included in our earlier estimates of health care sector emission disease burden because of the wide variation in approaches used in their estimation-such as the socioeconomic and emission scenarios considered, inclusion or exclusion of particular health effects, potential adaptive responses, and modeling parametersthat can lead to order-of-magnitude differences in damage factors. Potential impacts of climate change on human health, well-being, and security have been characterized in detail and include thermal stress, flooding and extreme events, radiation, air pollution, infectious disease, malnutrition, and potential conflicts (bit.ly/ 1RIYUkC). The World H...

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“…We used the same proportions of disease contributions to total DALYs for each health damage factor reported in Tang et al 5 …”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions

2018

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“…This may be because higher EIs mean that more fossil energy is used in industrial production, which would lead to an obvious increase in carbon emissions. In addition, the development oriented towards heavy industry and heavily dependent on coal, has exerted a reverse impact on NLCPIL in China, which may be because coal releases more carbon dioxide than other forms of clean energy (e.g., natural gas) for the same given amount and could easily cause increases in temperature and pose threats to human health [51].…”

Section: Determinants Of the Nlcpilmentioning

confidence: 99%

Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index

et al. 2016

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Industry is a major contributor to carbon emissions in China, and industrial land is an important input to industrial production. Therefore, a detailed analysis of the carbon emission performance of industrial land use is necessary for making reasonable carbon reduction policies that promote the sustainable use of industrial land. This paper aims to analyze the dynamic changes in the total-factor carbon emission performance of industrial land use (TCPIL) in China by applying a global directional distance function (DDF) and non-radial Luenberger productivity index. The empirical results show that the eastern region enjoys better TCPIL than the central and western regions, but the regional gaps in TCPIL are narrowing. The growth in NLCPILs (non-radial Luenberger carbon emission performance of industrial land use) in the eastern and central regions is mainly driven by technological progress, whereas efficiency improvements contribute more to the growth of NLCPIL in the western region. The provinces in the eastern region have the most innovative and environmentally-friendly production technologies. The results of the analysis of the influencing factors show implications for improving the NLCPIL, including more investment in industrial research and development (R&D), the implementation of carbon emission reduction policies, reduction in the use of fossil energy, especially coal, in the process of industrial production, actively learning about foreign advanced technology, properly solving the problem of surplus labor in industry and the expansion of industrial development.Keywords: industrial land; total-factor carbon emission performance of industrial land use (TCPIL); non-radial Luenberger productivity index; non-radial Luenberger carbon emission performance of industrial land use (NLCPIL); directional distance function (DDF); China

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High‐Entropy Nanomaterials for Advanced Electrocatalysis

Lee

et al. 2023

Small Science

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High‐entropy alloys refer to near‐equimolar alloys of five or more elements and are receiving attention due to their unique physical and chemical properties. In electrocatalysis, they serve as active sites in multiple elements, favoring the optimized adsorption/desorption property toward the target reaction. High‐entropy nanomaterials (HENMs) are attractive candidates as electrocatalysts by taking advantage of a high surface‐to‐volume ratio and tailored composition. This review begins with the concept of high‐entropy materials and various strategies for designing electrocatalysts. Then, the recent advances in HENMs as electrocatalysts for various applications (water‐splitting reaction, carbon dioxide reduction reaction, alcohol oxidation reaction, etc.) are introduced with their catalytic performances. Finally, based on the current status of HENMs for electrocatalysis, the challenging aspects and the future insight of HENMs for advanced electrocatalysis are discussed and proposed.

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Development of human health damage factors related to CO2 emissions by considering future socioeconomic scenarios

Cited by 48 publications

References 5 publications

Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions

Estimated Global Disease Burden From US Health Care Sector Greenhouse Gas Emissions

Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index

High‐Entropy Nanomaterials for Advanced Electrocatalysis

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