孙涵,倪珊(学)The transfer and driving factors of industrial embodied wastewater in China's interprovincial trade.

我校古天乐代言太阳集团孙涵老师在T2级别期刊——《Journal of Cleaner Production》上发表题为“The transfer and driving factors of industrial embodied wastewater in China's interprovincial trade”。论文第一作者孙涵为古天乐代言太阳集团教授，博士生导师。

Abstract / 摘要：

MT 目前,我国省际贸易和产业分工发展迅速。产品的最终用户不对自己的废水排放负责,而是通过贸易流动间接将自己的废水排放转移到生产地点。这无疑加重了生产地点环境治理的负担,造成产品生产和消费领域减排责任的不合理分担。研究省际贸易引起的具身废水转移及其驱动因素,对于制定公平的减排目标和环境政策具有重要意义。因此,本文基于多区域投入产出模型( MRIO )和结构分解分析( SDA ),从省际和工业部门两个层面分析了我国省际贸易中工业隐含废水的转移及其驱动因素。结果显示,中国省际贸易中工业隐含废水的转移量从2012年的5423 884 700吨增加到2015年的6343 801 700吨,增长率为16.96 %。工业污水净流出区域主要位于山东、江苏等制造业较发达的东部地区,净流入区域主要集中在重庆、四川、云南等中西部地区。从工业部门来看,文化物品、教育资源和体育用品的化学工业、造纸和印刷制造业、食品制造业和烟草加工业是贸易隐含废水流入和流出的三个关键部门。通过SDA发现,经济规模的增长是各省工业隐含废水外流的主要原因。技术效应对大部分省份尤其是河南、广西的工业隐含废水的转移产生了负面影响。从短期来看,可以通过技术改进来减少工业污水的转移量,但从长期来看,需要通过产业结构优化升级来减少工业污水的排放和转移。因此,为减少水污染,控制工业废水排放,在对各省市进行环境治理责任分配时,需要考虑省际贸易产生的具身废水的转移和主要驱动因素。

原文 Currently, interprovincial trade and the industrial division of labor in China are rapidly developing. The end users of products are not responsible for their wastewater discharge but indirectly transfer their own wastewater discharge to production locations through trade flows. This undoubtedly exacerbates the burden of environmental governance at production locations and results in the unreasonable sharing of discharge reduction responsibility between production and consumption areas of products. Studies that focus on the embodied wastewater transfer caused by interprovincial trade and its drivers are important for the formulation of equitable emission reduction targets and environmental policies. Therefore, based on the multiregional input-output (MRIO) model and structural decomposition analysis (SDA), this paper analyzes the transfer and driving factors of industrial embodied wastewater in interprovincial trade in China at the interprovincial and industrial sector levels. The results demonstrate that the transfer volume of industrial embodied wastewater increased from 5,423,884,700 tons in 2012 to 6,343,801,700 tons in 2015 in Chinese interprovincial trade, at a growth rate of 16.96%. The regions with industrial embodied wastewater net outflows were mainly located in eastern regions with a more well-developed manufacturing industry such as Shandong and Jiangsu, the net inflow areas were mainly concentrated in central and western regions such as Chongqing, Sichuan and Yunnan. From the perspective of the industrial sector, the chemical industry, papermaking and printing and manufacturing industry of cultural items, education resources and sports goods, and food manufacturing and tobacco processing industry were the three key sectors regarding the inflow and outflow of embodied wastewater in trade. Through SDA, it was found that the growth of the economic scale was the main reason for the outflow of industrial embodied wastewater in the various provinces. The technology effect imposed a negative influence on the transfer of industrial embodied wastewater in most provinces, especially in Henan and Guangxi. In the short term, technology improvements can be employed to reduce the transfer volume of industrial embodied wastewater, but in the long term, industrial structure optimization and upgrading are required to reduce the discharge and transfer of industrial embodied wastewater. Therefore, to reduce water pollution and control industrial wastewater discharge, it is necessary to consider the transfer and main driving factors of embodied wastewater caused by interprovincial trade when assigning environmental governance responsibilities to each province.

论文信息;

Title/题目:

The transfer and driving factors of industrial embodied wastewater in China's interprovincial trade

Authors/作者:

Sun Han;Ni Shan;Zhao Tongxin;Huang Chao

Key Words / 关键词：

Interprovincial trade;Embodied wastewater transfer;Driving factors

Indexed by / 核心评价：

WAJCI; EI; Scopus; INSPEC; SCI;

Highlights /研究要点：

• The industrial embodied wastewater transfer of 31 provinces was quantified.;

• The results were analyzed in the perspective of provincial and industrial sectors.;

• Technology and scale effects were the main driving factors.;

• The policies were proposed based on the characteristics of different regions.

DOI:10.1016/J.JCLEPRO.2021.128298

全文链接：https://www.sciencedirect.com/science/article/pii/S0959652621025130