Effects of socioeconomic and natural factors on air pollution in China: A spatial panel data analysis.
Effects of socioeconomic and natural factors on air pollution in China: A spatial panel data analysis.
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DOI：
10.1016/j.scitotenv.2020.140155
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发表时间：
2020-06
期刊：
影响因子：
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通讯作者：
Lina Ren;Ken’ichi Matsumoto
中科院分区：
文献类型：
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作者：
Lina Ren;Ken’ichi Matsumoto
近年来，随着中国经济的快速增长和大规模城市化，中国的能源使用量大幅增加。因此，空气污染已成为一个重大问题。本文利用2011-2017年中国31个省级行政单位的面板数据，对二氧化硫（SO2）和氮氧化物（NOX）排放量进行空间自相关和空间面板回归分析，以全面了解影响大气污染物排放的因素。本研究在中国全国面板数据计量框架下，考虑了综合因素和空间效应，对文献进行了贡献。空间特征分析表明，研究期间，中国污染物排放量有所下降，但北方地区排放量仍相对较高。此外，SO2和NOX排放量在空间上呈现显著的正相关。固定效应空间滞后模型的结果表明，社会经济和自然因素对空气污染物排放量具有统计学意义，尽管污染物类型的程度不同。人口、城市化率、第二产业增加值比重、采暖制冷度日数对排放量有正向影响，而人口密度、人均地区生产总值、降水量、相对湿度对排放量有负向影响。根据这些结果，我们提出了解决空气污染问题和实现环境可持续性的建议，如促进区域合作和经济结构转型。
China's energy use has increased significantly in recent years with the country's rapid economic growth and large-scale urbanization. Therefore, air pollution has become a major issue. In this study, we conducted spatial autocorrelation and spatial panel regression analyses of sulfur dioxide (SO2) and nitrogen oxide (NOX) emissions using the panel data of 31 provincial-level administrative units in China during the period 2011–2017 to comprehensively understand the factors affecting air pollutant emissions. This study contributes to the literature by considering comprehensive factors and spatial effects in the panel-data econometric framework of the whole country of China. The analysis of spatial characteristics shows that during the study period, pollutant emissions in China declined, although emissions in northern regions were still relatively high. Furthermore, SO2and NOXemissions showed significant positive spatial autocorrelations. The results of a fixed-effect spatial lag model showed that both socioeconomic and natural factors were statistically significant for air pollutant emissions, although the degree differed by the type of pollutant. The population, the urbanization rate, the share of added value of secondary industry, and heating and cooling degree days positively affected emissions, while population density, per-capita gross regional product, precipitation, and relative humidity negatively affected emissions. Based on these results, we have put forward suggestions to address the issue of air pollution and achieve environmental sustainability, such as the promotion of regional cooperation and a transition of the economic structure.