the haze nightmare following the economic boom in china: dilemma and tradeoffs
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Abstract
This study aims to expand on a deeper understanding of the relationship between rapid economic development and ensuing air pollution in China. The database includes the gross domestic product (GDP), the value added of a secondary industry, the per capita GDP (PGDP), greenhouse gases emissions, and PM2.5 concentrations. The results indicate that China’s PGDP has continued to rise over the past decade, and the rate of PGDP slowed down from 1980 to 2004 (slope = 5672.81, R2 = 0.99, p < 0.001) but was significantly lower than that from the year 2004 to 2013 (slope = 46,911.08, R2 > 0.99, p < 0.001). Unfortunately, we found that total coal consumption, annual steel production, and SO2 emission had been continually growing as the overall economy expands at temporal scale, with the coefficient of determinations greater than 0.98 (p < 0.001). Considering the spatial pattern aspect, we also found a significant relationship between GDP and greenhouse gases. Meanwhile, severe air pollution has negatively impacted the environment and human health, particularly in some highlighted regions. The variation explained by both total SO2 emission and total smoke and dust emission were 33% (p < 0.001) and 24% (p < 0.01) for the rate of total pertussis at temporal scale, respectively. Furthermore, at the spatial scale, pulmonary tuberculosis rates and pertussis mainly occurred in area with serious air pollution (economically developed region). It can be summarized that the extensive mode of economic growth has brought a number of serious environment and human health problems. Thus, a new policy framework has been proposed to meet the goals of maintaining a healthy economy without harming natural environment, which may prove integral, especially when coupled with long-term national strategic development plans.Reference Key |
sun2016internationalthe
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Authors | ;Jian Sun;Jinniu Wang;Yanqiang Wei;Yurui Li;Miao Liu |
Journal | archives of biochemistry and biophysics |
Year | 2016 |
DOI | 10.3390/ijerph13040402 |
URL | |
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