Comparing Economics, Environmental Pollution and Health Efficiency in China

Shi, Zhen; Wu, Fang; Huang, Huinan; Sun, Xinrui; Zhang, Lina

doi:10.3390/ijerph16234827

Cited by 17 publications

(14 citation statements)

References 47 publications

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“…Shi et al (2019) [ 5 ] used a two-stage dynamic DEA model to study the impact of water pollution on the environment and national health. The authors divided variables into two stages.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Impacts of Water Pollution Emissions on Public Health in 30 Provinces of China

et al. 2020

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China’s economy in recent decades has developed at a very rapid speed, as evidenced by its GDP jumping to second place in the world. Although utilization of domestic water resources has helped spur economic development, sewage discharge as an undesirable output has unfortunately caused many negative effects on human health, causing concern from all walks of life. Therefore, governments in China at all levels are committed to urban sewage treatment policies in order to reduce the negative impact of water pollution on society. While most existing studies have targeted the macro-level modes of economic development and environmental pollution, their selection of research objects is too narrow by failing to adequately consider China's water pollution and the consequential national health crisis. This study takes cities in 30 provinces of China as the research objects and applies various influencing factors of urban wastewater treatment and health (as two stages) to the modified two-stage dynamic Slacks-Based Measures (SBM) Data Envelopment Analysis (DEA) model. The results reveal that the overall efficiency of each province is increasing and that the efficiency of the wastewater treatment stage is greater, thus contributing to overall efficiency. Conversely, the health stage’s efficiency is far lower than the wastewater treatment stage’s efficiency, which has a notably adverse effect on overall efficiency. In addition, most input-output variables need much improvement. Based on the findings herein, we offer specific suggestions to each province for improving sewage treatment capacity, the level of medical care, and the quality of national health.

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“…Shi et al (2019) [ 5 ] used a two-stage dynamic DEA model to study the impact of water pollution on the environment and national health. The authors divided variables into two stages.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Municipal sewage treatment capacity. It is defined as the total amount of sewage treated in a province (municipality directly under the central government, autonomous region) in a year 5. COD concentration.…”

mentioning

confidence: 99%

The Impacts of Water Pollution Emissions on Public Health in 30 Provinces of China

et al. 2020

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“…Li et al 7 used the modified dynamic SBM model to analyze the energy efficiency and AQI efficiency of 31 provinces and cities in China from 2013 to 2016. Shi et al 43 used the two-stage dynamic DEA model considering poor output to compare the economic, environmental pollution and health efficiency of 30 provinces in China. Shi et al 8 conducted a dynamic analysis on the impact of industrial pollutant emissions in China on human health.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Shi et al. 43 used the two-stage dynamic DEA model considering poor output to compare the economic, environmental pollution and health efficiency of 30 provinces in China. Shi et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the impact of energy utilization and PM on respiratory health in China

Shi

Liu

et al. 2020

Energy & Environment

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The haze climate has seriously affected people’s lives in China, and one of the important causes is particular matter (PM). For further, PM also has a negative impact on human health, especially respiratory health. A modified two-stage EBM (Epsilon-based Measure)data envelopment analysis (DEA) model considering undesirable outputs was used in this study to explore the energy utilization, PM and respiratory efficiency evaluation in China. It is concluded that the total efficiency value of Beijing, Inner Mongolia, Shandong and Tianjin is high, while that of China’s other provinces is low. The overall efficiency of most provinces in the first stage is better than that in the second stage, and the efficiency difference between provinces in the second stage is more significant. There is a significant difference in PM efficiency between provinces, which needs to be managed by governments of different regions. Except for Beijing, Jiangsu, Inner Mongolia, Shandong and Tianjin, the efficiency of respiratory diseases in most provinces still needs to be improved. Therefore, it is suggested to optimize the industrial structure, accelerate the adjustment of energy structure, strengthen the treatment of air pollution and increase public expenditure on medical care, so as to improve residents’ respiratory health.

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“…In this paper, we study economic, wastewater discharge, and wastewater pollution efficiencies, explore the government’s wastewater treatment input, and water disease efficiency. Compared with a general study on environmental pollution and health efficiency [ 36 ], this study is more focused on water diseases caused by the discharge and treatment of wastewater pollution so as to promote water resource management and water pollution control to the maximum extent in China. In particular, we select the two most representative types of endemic water diseases, water fluorosis and arsenic poisoning, as the subjects to fill the gap in the research on the differences in the prevention and control efficiency of water diseases among different regions.…”

Section: Introductionmentioning

confidence: 99%

Associated Effects and Efficiency Evaluation between Wastewater Pollution and Water Disease Based on the Dynamic Two-Stage DEA Model

et al. 2020

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The lack of basic water supply and treatment facilities during China’s urbanization and industrialization process has resulted in a large amount of wastewater pollution, with the most serious water diseases being water-borne endemic fluorosis and arsenic poisoning, which have affected more than 20 million people. This research therefore uses the improved modified undesirable dynamic network model to analyze data of 31 provincial administrative regions to focus on the associated effects and efficiency evaluation between wastewater pollution and water disease in China. The results show that the efficiency of water pollution disease in all four regions of the country and the total efficiency in the east, west, and central regions all show a decreasing trend, while the efficiency scores and rankings of all provinces and cities within the region fluctuate greatly. The eastern region with the most developed economy has the best overall performance, with higher efficiency in water consumption and water disease control. However, the efficiency of wastewater treatment in northeast China is stable and better. Given the high level of the nation’s economic development and the results of efficiency in water pollution and water diseases, improving the efficiency and quality of wastewater treatment in China is regarded as an important factor for achieving the strategic goal of green growth.

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Comparing Economics, Environmental Pollution and Health Efficiency in China

Cited by 17 publications

References 47 publications

The Impacts of Water Pollution Emissions on Public Health in 30 Provinces of China

The Impacts of Water Pollution Emissions on Public Health in 30 Provinces of China

Evaluation of the impact of energy utilization and PM on respiratory health in China

Associated Effects and Efficiency Evaluation between Wastewater Pollution and Water Disease Based on the Dynamic Two-Stage DEA Model

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