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Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

机译:城市化及其对工业污染物排放的影响:基于空间面板模型的中国案例的实证研究

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Urbanization is considered a main indicator of regional economic development due to its positive effect on promoting industrial development; however, many regions, especially developing countries, have troubled in its negative effect—the aggravating environmental pollution. Many researchers have addressed that the rapid urbanization stimulated the expansion of the industrial production and increased the industrial pollutant emissions. However, this statement is exposed to a grave drawback in that urbanization not only expands industrial production but also improves labor productivity and changes industrial structure. To make up this drawback, we first decompose the influence of urbanization impacts on the industrial pollutant emissions into the scale effect, the intensive effect, and the structure effect by using the Kaya Identity and the LMDI Method; second, we perform an empirical study of the three effects by applying the spatial panel model on the basis of the data from 282 prefecture-level cities of China from 2003 to 2014. Our results indicate that (1) there are significant reverse U-shapes between China’s urbanization rate and the volume of industrial wastewater discharge, sulfur dioxide emissions and soot (dust) emissions; (2) the relationship between China’s urbanization and the industrial pollutant emissions depends on the scale effect, the intensive effect and the structure effect jointly. Specifically, the scale effect and the structure effect tend to aggravate the industrial wastewater discharge, the sulfur dioxide emissions and the soot (dust) emissions in China’s cities, while the intensive effect results in decreasing the three types of industrial pollutant emissions; (3) there are significant spatial autocorrelations of the industrial pollutant emissions among China’s cities, but the spatial spillover effect is non-existent or non-significant. We attempt to explain this contradiction due to the fact that the vast rural areas around China’s cities serve as sponge belts and absorb the spatial spillover of the industrial pollutant emissions from cities. According to the results, we argue the decomposition of the three effects is necessary and meaningful, it establishes a cornerstone in understanding the definite relationship between urbanization and industrial pollutant emissions, and effectively contributes to the relative policy making.
机译:由于城市化对促进工业发展具有积极作用,因此被认为是区域经济发展的主要指标;但是,许多地区,尤其是发展中国家,对其负面影响感到困扰-加剧了环境污染。许多研究人员指出,快速的城市化刺激了工业生产的扩大,并增加了工业污染物的排放。但是,这种说法有一个严重的缺陷,即城市化不仅扩大了工业生产,而且提高了劳动生产率并改变了产业结构。为了弥补这一缺陷,我们首先使用Kaya Identity和LMDI方法将城市化对工业污染物排放的影响分解为规模效应,集约效应和结构效应。其次,我们以2003年至2014年中国282个地级市的数据为基础,通过应用空间面板模型对这三种效应进行了实证研究。我们的结果表明(1)存在明显的倒U形。在中国的城市化率与工业废水排放量,二氧化硫排放量和烟尘(粉尘)排放量之间; (2)中国城市化与工业污染物排放之间的关系取决于规模效应,集约效应和结构效应。具体来说,规模效应和结构效应往往会加剧中国城市的工业废水排放量,二氧化硫排放量和烟尘(粉尘)排放量,而集中效应则导致三种工业污染物排放量减少。 (3)中国各城市之间工业污染物排放之间存在显着的空间自相关性,但空间溢出效应不存在或不显着。我们试图解释这种矛盾是由于以下事实:中国城市周围的广大农村地区充当着海绵地带,吸收了城市工业污染物排放的空间溢出效应。根据研究结果,我们认为分解这三种效应是必要且有意义的,它为理解城市化与工业污染物排放之间的明确关系奠定了基石,并有效地为相关政策制定做出了贡献。

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