The Dynamic Analysis of the Pollutant Emissions Impact on Human Health in China Industries Based on the Meta-Frontier DEA

Shi, Changfeng; Wu, Hao; Chiu, Yung‐ho

doi:10.3390/healthcare8010005

Cited by 5 publications

(5 citation statements)

References 44 publications

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“…Their findings showed that the health expenditure efficiencies present unstable trends during the period. Shi et al (42) merged the efficiencies of energy, environmental pollution, and human health and analyzed them in a two-stage framework to measure the influence of pollutant emissions in 30 provinces of China from 2013 to 2016. The data indicate that the average efficiency of health expenditure is undesirable.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial and Temporal Differences in the Health Expenditure Efficiency of China: Reflections Based on the Background of the COVID-19 Pandemic

Shi

Xie

Chen

et al. 2022

Front. Public Health

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The outbreak of the COVID-19 pandemic has brought several challenges to China's national health services, causing great risks and uncertainties to people's lives. Considering China's huge population and relatively small medical investment and its good performance in the COVID-19 pandemic, this research utilizes the hybrid meta-frontier model to analyze health expenditure efficiencies of 30 provinces in China from 1999 to 2018 and compares spatial and temporal differences of the efficiencies in regards to regional forward position and national common frontier. The results show an obvious difference in health expenditure efficiency in different provinces along the regional frontier, in which the efficiency gap in the eastern region is the largest. Moreover, the room for improvement in health expenditure efficiency varies from region to region. For the national common frontier, Beijing is the most efficient, while Guizhou is the least. The eastern region owns the most efficient technical level of health expenditure efficiency, and there is a large efficiency distance between it and the western region. The findings offer effective guidance for elevating the expenditure structure and spatial resource allocation of public health and for promoting the equalization of high quality basic medical services.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial and Temporal Differences in the Health Expenditure Efficiency of China: Reflections Based on the Background of the COVID-19 Pandemic

Shi

Xie

Chen

et al. 2022

Front. Public Health

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“…Air quality (AQ) and its temporal and spatial changes are determined by human activities via the release of various air pollutants (Derwent and Hjellbrekke, 2012;Fu et al, 2020;Hassan et al, 2013;Karl et al, 2019;Kukkonen et al, 2020;Lehtomäki et al, 2018;Shi et al, 2019) and modulated by meteorological conditions (Jacob and Winner, 2009;Jhun et al, 2015;Singh et al, 2013;Sofiev et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The effect of accounting for public holidays on the skills of the atmospheric composition model SILAM v.5.7

2021

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Abstract. This study quantifies the impact of emission changes during public holidays on air quality (AQ) and analyses the added value of accounting for the holidays in AQ modelling. Spatial and temporal distributions of atmospheric concentrations of the major air pollutants (the main focus was on NO2, but we also included O3, CO, PM2.5, and SO2) were considered at the European scale for all public holidays of 2018. Particular attention was paid to the events with the most pronounced continental- or regional-scale impact: Christmas and New Year, Easter, May Day vacations, and the last days of Ramadan. The simulations were performed with the chemistry transport model SILAM v.5.7 (System for Integrated modeLling of Atmospheric coMposition). Three model runs were made: the baseline with no treatment of holidays, the run considering holidays as Sundays, and the run forcing 80 % reduction in emissions during holidays for the weekday-sensitive sectors. The emission scaling was applied on a country basis. The model predictions were compared with in situ observations collected by the European Environment Agency. The experiment showed that even conservative treatment of official holidays has a large positive impact on NOx (up to 30 % of reduction in the bias inhomogeneity during the holiday days) and improves the CO, PM2.5, and O3 predictions. In many cases, the sensitivity simulations suggested a greater emission reduction than the level of Sundays. An individual consideration of the holiday events in different countries may further improve their representation in the models: specific diurnal pattern of emissions, additional emission due to fireworks, and different driving patterns.

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“…Air quality (AQ) and its temporal and spatial changes are determined by human activities via the release of various aerosols and gases (Derwent and Hjellbrekke, 2012;Fu et al, 2020;Hassan et al, 2013;Karl et al, 2019;Kukkonen et al, 2020;Lehtomäki et al, 2018;Shi et al, 2019), and modulated by meteorological conditions (Jacob and Winner, 2009;Jhun et al, 2015;Singh et al, 2013;Sofiev et al, 2020). 30…”

Section: Introduction 25mentioning

confidence: 99%

Effect of accounting for public holidays on skills of atmospheric composition model SILAM v.5.7

Fatahi

Kouznetsov

Sofiev

2021

Preprint

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Abstract. Changes in anthropogenic activity during public holidays influence air pollutant concentrations. The objective of this study is to quantify the public holiday’s effect on air quality and to analyse the added value of accounting for the holidays in AQ modelling and forecasting. Spatial and temporal distributions of atmospheric concentrations of the major air pollutants (PM2.5, PM10, SO2, CO, NO2, NOX, and O3) were considered at the European scale for all public holidays of 2018. Particular attention was given to the events with the most-pronounced continental or regional impact: Christmas and New Year, Easter, May vacations and last days of Ramadan. The simulations were performed with the Eulerian chemistry transport model SILAM v.5.7. Three model runs were performed: the baseline with no treatment of holidays, the run considering the holidays as Sundays, and the run forcing 80 % reduction of emissions for the week-day sensitive sectors. . The emission scaling was applied on a country basis. The model predictions were compared with in-situ observations collected by the European Environment Agency. The experiment showed that even conservative treatment of official holidays has a large positive impact on NOx (up to 30 % of bias reduction in the holiday days) and also improves the CO, PM2.5 and O3 predictions. In many cases, the sensitivity study suggested deeper emission reduction than the level of Sundays. An individual consideration of the holiday events in different countries may further improve their representation in the models: specific diurnal pattern of emissions, additional emission due to fireworks, different driving patterns, etc.

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The Dynamic Analysis of the Pollutant Emissions Impact on Human Health in China Industries Based on the Meta-Frontier DEA

Cited by 5 publications

References 44 publications

Spatial and Temporal Differences in the Health Expenditure Efficiency of China: Reflections Based on the Background of the COVID-19 Pandemic

Spatial and Temporal Differences in the Health Expenditure Efficiency of China: Reflections Based on the Background of the COVID-19 Pandemic

The effect of accounting for public holidays on the skills of the atmospheric composition model SILAM v.5.7

Effect of accounting for public holidays on skills of atmospheric composition model SILAM v.5.7

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