Many studies have reported that air pollution, especially fine particulate matter (PM), has a significant impact on health and causes economic loss. Gansu Province is in the northwest of China, which is a typical economically underdeveloped area. However, few studies have evaluated the economic loss of PM related to health effects in this province. In this study, a log-linear exposure-response function was used to estimate the health impact of PM in 14 cities in Gansu Province from 2015 to 2017, and the amended human capital (AHC) and cost of illness (COI) method were used to evaluate the related economic loss caused by the health impact from PM. The results show that the estimated total number of health endpoints attributed to PM pollution were 1,644,870 (95%CI: 978,484-2,215,921), 1,551,447 (95%CI: 917,025-2,099,182) and 1,531,372 (95%CI: 899,769-2,077,772) in Gansu Province from 2015 to 2017, respectively. Correspondingly, the economic losses related to health damage caused by PM pollution were 42,699 (95%CI: 32,380-50,768) million Chinese Yuan (CNY), 43,982 (95%CI: 33,305-52,386) million CNY and 44,261 (95%CI: 33,306-52,954) million CNY, which were equivalent to 6.45% (95%CI: 4.89%-7.67%), 6.28% (95%CI: 4.75%-7.48%), and 5.93% (95%CI: 4.64%-7.10%) of the region Gross Domestic Product (GDP) from 2015 to 2017, respectively. It could be seen that the proportions of health economic loss to GDP were generally high, although the proportion had a slight downward trend. The economic loss from chronic bronchitis and all-cause mortality accounted for more than 94% of the total economic loss. The health impact, economic loss and per capita economic loss in Lanzhou, the provincial capital city of Gansu, were obviously higher than other cities from the same province. The economic loss in Linxia accounted for the highest proportion of GDP. The health impacts in the Hexi region, including the cities of Jiuquan, Jiayuguan, Zhangye, Jinchang and Wuwei, were generally lower, but the economic loss and per capita economic loss were still higher. We also found that urbanization and industrialization were highly correlated with health economic loss caused by PM pollution. In conclusion, the PM-related health economic burden in Gansu Province was serious. As an economically underdeveloped region, it was very important to further adopt rigid and effective pollution control policies.
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http://dx.doi.org/10.3390/ijerph17093253 | DOI Listing |
Front Nutr
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School of Ocean and Tropical Medicine. Guangdong Medical University, Zhanjiang, Guangdong, China.
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College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, China.
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View Article and Find Full Text PDFSci Data
January 2025
University of Southern California, Viterbi School of Engineering, 3737 Watt Way, Powell Hall of Engineering, Los Angeles, CA, 90089, USA.
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View Article and Find Full Text PDFPLoS One
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School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China.
Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance.
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Department of Natural Resource Management, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia.
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