A Comparative Study of Different Energy Efficiency of OECD and Non-OECD Countries

Liu, Ying; Chiu, Yung‐ho; Wang, Lihua; Liu, Yi-Chu; Chiu, Ching‐Ren

doi:10.1177/1940082919837441

Cited by 8 publications

(7 citation statements)

References 32 publications

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“…Air pollution is associated with increased incidence of diseases (WHO, 2012). As air pollution is one of causes of death and disability, it is increasingly recognized as a worldwide public health concern [1,2,3,4,5,6,7]. Atmospheric particle matter (PM), especially those having an aerodynamic diameter less than 2.5 um (PM 2.5 ), is considered one of the priority pollutants in air [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China

Zeng

Zhang

2019

IJERPH

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By collecting the panel data of 29 regions in China from 2008 to 2017, this study used the spatial Durbin model (SDM) to explore the spatial effect of PM2.5 exposure on the health burden of residents. The most obvious findings to emerge from this study are that: health burden and PM2.5 exposure are not randomly distributed over different regions in China, but have obvious spatial correlation and spatial clustering characteristics. The maximum PM2.5 concentrations have a significant positive effect on outpatient expense and outpatient visits of residents in the current period, and the impact of PM2.5 pollution has a significant temporal lag effect on residents’ health burden. PM2.5 exposure has a spatial spillover effect on the health burden of residents, and the PM2.5 concentrations in the surrounding regions or geographically close regions have a positive influence on the health burden in the particular region. The impact of PM2.5 exposure is divided into the direct effect and the indirect effect (the spatial spillover effect), and the spatial spillover effect is greater than that of the direct effect. Therefore, we conclude that PM2.5 exposure has a spatial spillover effect and temporal lag effect on the health burden of residents, and strict regulatory policies are needed to mitigate the health burden caused by air pollution.

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Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China

Zeng

Zhang

2019

IJERPH

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“…Given that fossil fuels play the most significant role in delivering the required energy for the industrial process, the destruction of the environment and the release of vast quantities of carbon, wastewater, and waste gas as undesired outputs are inevitable (Wu et al 2016 ; Xu et al 2020 ). In addition to natural resources, economic activities utilize mineral resources, water, forest, and land resources (Y. Li et al 2019 ). Rapid economic expansion stimulates the use of these natural resources in a way that jeopardizes ecological sustainability (Todaro and Smith 2011 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Comprehensive Environmental Assessment Index of Ecological Footprint

Khezri

Mamghaderi

Razzaghi

et al. 2022

Environmental Management

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This paper aims to contribute to the growing body of research literature on assessing environmental efficiency by introducing a new key performance indicator (KPIs) in more complete and dependable aspects of ecological footprint indices. For this purpose, the DEA model considering three inputs (energy consumption, labor force, and capital stock), one desirable output (GDP), and different undesirable outputs (CO2 emissions, ecological footprint indicators) are applied to 27 OECD countries from 2000 to 2017. According to the results, Norway, Luxemburg, and United Kingdom are the most environmentally efficient countries in terms of environmental efficiency and ecological footprint efficiency. On the other hand, the lowest environmental and ecological footprint efficiencies were in countries like Lithuania, Slovak, Czech, Estonia, and the USA. In addition, these nations fare poorly regarding their carbon footprint and farmland efficiency. In further detail, Lithuania, South Korea, Portugal, and Spain have a critical status in fishing ground efficiency, while the forest area efficiency is very acute in Estonia, Latvia, Lithuania, and Czech.

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“…While there have been some significant improvements in SO 2 emissions, PM 2.5 improvements have been far slower. Li et al [24] measured energy efficiency, carbon dioxide emissions efficiency, and particulate matter (PM 2.5 ) concentration efficiency to compare the energy efficiency differences between OECD member countries and non-OECD member countries from 2010 to 2014 using a metafrontier dynamic Data Envelopment Analysis model. They calculated technology gap ratio and input and output efficiency values to measure the energy efficiencies of each economy, finding that OECD countries have a technology gap ratio of 1 or very close to 1; and except for the United Arab Emirates and Singapore, both of which exhibit annual improvements, the non-OECD countries have a significant need for efficiency improvements.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparing Economics, Environmental Pollution and Health Efficiency in China

Shi

Huang

et al. 2019

IJERPH

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As the modern economy develops rapidly, environmental pollution and human health have also been threatened. In recent years, relevant research has focused on subjects such as energy and economic, environmental pollution and health issues. Yet this has not considered the use of water resources and the impact of wastewater pollutant emissions on the economy and health. This article has combined the following factors like water consumption with wastewater discharge, pollutant concentration in sewage and local medical care expenditure and put them into the model of water resources, energy and health measurement, and a two-stage dynamic data envelopment analysis (DEA) model considering undesirable outputs is applied to 30 provinces (including autonomous regions and municipalities) to calculate the total efficiency, production efficiency and health efficiency in 2014–2017.The results show that the total efficiency values of most provinces are between 0.2 and 0.4, providing large room for improvement. Production efficiency and health efficiency have increased in recent years, but the health efficiency values of most provinces are still so low that they have dragged back the overall efficiency. The key impact indicators of different provinces are different, and each province should formulate different policies according to its own specific conditions so as to purposefully to deepen the energy, economic and medical reforms in each province, and also to promote sustainable economic development while improving health efficiency.

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A Comparative Study of Different Energy Efficiency of OECD and Non-OECD Countries

Cited by 8 publications

References 32 publications

Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China

Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China

Comprehensive Environmental Assessment Index of Ecological Footprint

Comparing Economics, Environmental Pollution and Health Efficiency in China

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