This paper, based on industrial gross output and the emission of industrial waste gas, wastewater and solid waste of 25 industrial sectors in 31 provinces during 2005~2014, explores the general environmental pollution score by grey correlation analysis. According to frequencies of top 10 industrial sectors contributing to regional pollution, this paper classifies the industrial sectors into 4 levels: high-frequency, medium-high frequency, medium-low frequency, and low-frequency. We classify industrial sectors, based on principal factors of production, into labor-intensive industry, capital-intensive industry and technology-intensive industry, and distinguish the main type of main local pollution industry in all regions. The result shows that the contribution to industrial pollution of different sectors varies greatly among provinces. Production and supply of electric power and heat power has the highest frequency in 31 provinces, which needs special monitoring at the national level; Since the top 10 general-environmental-pollution industries have more than 0.66 contribution degree to local pollution, the local government should take targeted measures to prevent and control pollution. Regions with labor-intensive and capital-intensive industrial pollution should promote the optimization of the internal industrial structure and eliminate backward production capacity when developing economy; regions with technology-intensive industrial pollution should accelerate the industry upgrading and develop tertiary industry to achieve green and sustainable development.%基于2005~2014年31个省市25个工业行业的产值和各省工业废气、废水、固体废弃物排放量,运用灰色关联度分析各省各行业的综合环境污染影响程度.按各行业在各省污染贡献排名前10位的出现频次,识别中国高、中高、中低和低频次污染行业;按照生产要素将行业归类为劳动密集型、资本密集型和技术密集型,并探究各区域污染贡献的主导行业类型.研究表明,中国省际间不同行业对该省工业污染的贡献差异明显,电力、热力生产和供应业在31个省出现频度最高,需要从全国层面予以重点监控;各省综合污染影响度排名前10的行业对当地污染贡献均超过0.66,需要地方结合实际进行有针对性的防治.劳动、资本密集型工业污染主导的区域应在发展经济同时促进工业内部结构优化,淘汰落后产能,提升技术实力;技术密集型工业污染主导的区域应加快产业转移升级,发展第三产业,实现绿色可持续发展.
展开▼
