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Energy use, industrial soot and vehicle exhaust pollution-China's regional air pollution recognition, performance decomposition and governance

机译:能源使用,工业烟尘和汽车尾气污染-中国区域空气污染识别,性能分解和治理

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The identification of "industrial soot" or "vehicle exhaust" pollution facilitates developing proper measures for the mitigation of regional air pollution. In order to identify the pollution types at a regional level, this paper applies the Luenberger productivity indicator to decompose air pollutant emissions performance. Furthermore, we simultaneously consider pollution rates and the productivity change. Thus, we propose a new modeling framework allowing for the variable-specific decomposition of the environmental performance along time and quantity dimensions to identify the underlying patterns. The panel data for 30 provinces and autonomous regions are then applied to identify regional atmospheric pollution type. The results show that SO2 emission from industrial soot and NOx emissions from vehicle exhaust constitute an important source of regional atmospheric environmental inefficiency, though the former seems to be more decisive. The southeast coastal provinces showed generally lower levels of inefficiency, compared to the northwest inland area. During the period of the 11th Five-Year Plan of China, industrial SO2 emission performance contributed to the increase in the atmospheric environmental productivity, while traffic NOx emissions acted as a negative factor in this regard. Therefore, the government should seek to increase the intensity of environmental regulation in transportation sector. At the country level, technical progress associated with both types of pollutions was positive and thus exceed the negative efficiency change for the same variables. In particular, in Beijing-Tianjin-Hebei region, the productivity changes in industrial SO2 emissions and traffic NOx emissions indicate a "stably advancing" type. The results further indicate that there are 18 provinces of China which have experienced mixed-type pollution. Jilin and Hainan were classified as provinces experiencing vehicle exhaust gas pollution, whereas Guizhou was defined as that subject to industrial soot pollution. The government should formulate and implement diversified support and regulation policies to govern SO2 and NOx pollution at the regional level. (C) 2019 Elsevier B.V. All rights reserved.
机译:对“工业烟尘”或“车辆尾气”污染的识别有助于制定减轻区域空气污染的适当措施。为了确定区域一级的污染类型,本文使用Luenberger生产率指标来分解空气污染物的排放性能。此外,我们同时考虑污染率和生产率变化。因此,我们提出了一个新的建模框架,该框架允许沿着时间和数量维度对环境绩效进行特定于变量的分解,以识别基本模式。然后将30个省和自治区的面板数据用于识别区域大气污染类型。结果表明,工业烟尘的SO2排放和汽车尾气的NOx排放构成了区域大气环境效率低下的重要根源,尽管前者似乎更具决定性。与西北内陆地区相比,东南沿海省份的低效率水平普遍较低。在“十一五”期间,工业SO2的排放表现为大气环境生产率的提高做出了贡献,而交通NOx排放在这方面是不利因素。因此,政府应设法提高交通部门的环境监管强度。在国家一级,与两种类型的污染相关的技术进步都是积极的,因此对于相同的变量,其效率变化超过了负面的变化。特别是在京津冀地区,工业SO2排放量和交通NOx排放量的生产率变化表明是“稳步推进”的类型。结果还表明,中国有18个省经历了混合型污染。吉林和海南被列为机动车尾气污染省,而贵州则被定义为受到工业烟尘污染的省。政府应制定并实施多样化的支持和监管政策,以在区域层面管理SO2和NOx污染。 (C)2019 Elsevier B.V.保留所有权利。

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