New concepts for environment-health measurement by data envelopment analysis and an application in China

Sueyoshi, Toshiyuki; Zhang, Ruchuan; Qu, Jingjing; Li, Aijun

doi:10.1016/j.jclepro.2021.127468

Cited by 24 publications

(9 citation statements)

References 80 publications

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“…Based on this, most scholars in China and abroad have experimentally tested the EKC hypothesis to investigate the link between economic growth and environmental deterioration. Omri et al (2015) indicated a bidirectional causal relationship between carbon emissions and economic development and identified the existence of an EKC for carbon emissions. Hanif (2018) (2019) emphasized that financial growth can help increase the level of technological innovation and improve the efficiency of energy use, thereby improving environmental quality.…”

Section: Economic Development and Air Pollutionmentioning

confidence: 99%

“…Furthermore, when countries are in the process of expanding their economic scale, they consume more energy and emit more pollutants that gradually damage environmental quality (Sapkota and Bastola, 2017;Shao, 2017). Alternative research, however, finds that FDIs in OECD countries have aggravated CO 2 emissions (Pazienza, 2015), although these factors need to be weighed against the funds, advanced technologies, and knowledge that FDI brings in to drive an economy. Economic growth improves people's living standards, which in turn is conducive to improving environmental quality.…”

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confidence: 99%

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Air Pollution as a Risk Factor Affecting Human Health and Economic Costs

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Economic Development and Air Pollutionmentioning

confidence: 99%

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confidence: 99%

Air Pollution as a Risk Factor Affecting Human Health and Economic Costs

2024

Frontiers Research Topics

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“…However, this paper cannot include fixed assets as input indicators due to limitations in data availability. Regarding output indicators, we selected the Gross Domestic Product (GDP) as the output indicator (Sueyoshi et al, 2021).…”

Section: Variables Selectionmentioning

confidence: 99%

The dynamic relationship among economic development, air pollution, and health production in China: the DNSBM efficiency model

Qun-shan

2023

Front. Environ. Sci.

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China’s economy has grown rapidly in response to the adoption of a high-energy, high-emissions development model, which has led to varying degrees of air pollution; moreover, the corresponding health damage has become a major concern for the public. Studies of the interrelationships between the economy, air pollution, and health often use empirical methods such as regression analysis, to explore the impacts of economic growth and air pollution, human health or air pollution on human health in isolation, and they rarely explore the interactions between the economy, air pollution, and health in terms of efficiency (i.e., the maximum output per unit of input resources that can be produced). Thus, this study constructed a Dynamic Network SBM efficiency model that unifies the production of economic development, air pollution, and health into a single framework. The article reports the findings of a comprehensive study of economic development, air pollution, and health management data for 30 Chinese provinces from 2015 to 2020. The results show that: 1) the overall efficiency (0.693) of China’s two stages from economic production input to healthy output from 2015 to 2020 is low, and there is much room for improvement; 2) the efficiency of economic development (0.729) is higher than the efficiency of health production (0.657), indicating that the health production stage needs to be strengthened; 3) during the study period, China’s PM2.5, SO2, and NOx control efficiency was low, at 0.786, 0.710, and 0.718, respectively, indicating that more effective measures are needed to improve environmental efficiency; and 4) there are significant differences in economic, environmental, and health efficiency across regions. China’s developed eastern provinces are more efficient in terms of economic development, health production, and air pollution control. In contrast, the central and western provinces, which are relatively backward in their economic development, are less efficient. This means that each province should implement sound policies based on its own assessment to promote sustainable economic development while enhancing air pollution mitigation and health promotion.

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“…In general, the heavy industry still relied mainly on highly polluting coal to meet energy needs [27]. Coal had a high carbon content, as its excessive use resulted in the emission of carbon dioxide and high carbon intensity [28]. Using comparative analysis, Rojas-Cardenas et al [29] examined the carbon intensity in Mexico and the world's energy-consuming countries; they showed that the carbon intensity of Mexico's steel industry was low, since the main source of energy consumption was clean natural gas.…”

Section: Literature Reviewmentioning

confidence: 99%

How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach

2022

IJERPH

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This decoupling between carbon dioxide emissions and the heavy industry is one of the main topics of government managers. This paper uses the quantile regression approach to investigate the carbon intensity of China’s heavy industry, based on 2005–2019 panel data. The main findings are as follows: (1) incentive-based environmental regulations have the greater impact on the carbon intensity in Jiangsu, Shandong, Zhejiang, Henan, Liaoning, and Shaanxi, because these provinces invest more in environmental governance and levy higher resource taxes; (2) the impact of mandatory environmental regulations on carbon intensity in Beijing, Tianjin, and Guangdong provinces is smaller, since these three provinces have the fewest enacted environmental laws and rely mainly on market incentives; (3) conversely, foreign direct investment has contributed most to carbon intensity reduction in Tianjin, Beijing, and Guangdong provinces, because these three have attracted more technologically advanced foreign-funded enterprises; (4) technological progress contributes more to the carbon intensity in the low quantile provinces, because these provinces have more patented technologies; (5) the carbon intensity of Shaanxi, Shanxi, and Inner Mongolia provinces is most affected by energy consumption structures because of their over-reliance on highly polluting coal.

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New concepts for environment-health measurement by data envelopment analysis and an application in China

Cited by 24 publications

References 80 publications

Air Pollution as a Risk Factor Affecting Human Health and Economic Costs

Air Pollution as a Risk Factor Affecting Human Health and Economic Costs

The dynamic relationship among economic development, air pollution, and health production in China: the DNSBM efficiency model

How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach

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