资源科学 ›› 2016, Vol. 38 ›› Issue (10): 1914-1924.doi: 10.18402/resci.2016.10.09

• 水资源 • 上一篇    下一篇

天津市最终产品本地用水量测度及其驱动机理研究

柳雅文1, 赵旭2, 刘俊国1, 3   

  1. 1. 北京林业大学自然保护区学院,北京 100083;
    2. 河海大学环境学院浅水湖泊综合治理与资源开发教育部重点实验室,南京 210098;
    3. 南方科技大学环境科学与工程学院,深圳 518055
  • 收稿日期:2016-02-29 修回日期:2016-05-26 出版日期:2016-10-25 发布日期:2016-10-25
  • 通讯作者: 刘俊国,E-mail:junguo.liu@gmail.com
  • 作者简介:柳雅文,女,山西晋城人,硕士生,主要从事水资源和水足迹方面研究。E-mail:liu_yawenr@163.com
  • 基金资助:
    国家自然科学基金项目(41571022); 北京市自然科学基金项目(8151002); 国家水体污染与治理科技重大专项(2015ZX07203-005)

Changes and mechanism of internal water use of products in Tianjin

LIU Yawen1, ZHAO Xu2, LIU Junguo1, 3   

  1. 1. School of Nature Conservation,Beijing Forestry University,Beijing 100083,China;
    2. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes,Ministry of Education,College of Environment,Hohai University,Nanjing 210098,China;
    3. School of Environmental Science and Engineering,South University of Science and Technology of China,Shenzhen 518055,China
  • Received:2016-02-29 Revised:2016-05-26 Online:2016-10-25 Published:2016-10-25

摘要: 最终产品本地用水指支持最终产品生产所需的本地水资源,该用水指标能够反映最终消费和产品供应链对当地水资源的影响,因而开始被学者所关注。本文以天津市为研究区,采用环境投入产出分析技术核算天津市的最终产品本地用水量,并用结构分解模型对其变化情况进行驱动力分析,进而探究了社会经济层面上的驱动机理。结果表明:2002-2012年间天津市最终产品本地用水量增加了6%(1.1亿m3)。人均最终消费效应是其增加的主要驱动因素,直接用水强度效应和最终消费部门效应是抑制其增加的主要因素;从产业部门来看,农业部门的最终产品本地用水量最大,但工业规模的扩大是导致最终产品本地用水量增加的主要原因。天津市可以通过减少出口高用水强度产品、提高出口产业用水效率、提倡本地居民改变消费结构和将最终产品本地用水和水足迹等指标融入企业绿色核算体系等方式减少天津市本地用水,缓解水资源短缺压力。

关键词: 结构分解法, 驱动力分析, 天津市, 投入产出法, 最终产品本地用水

Abstract: Here,we introduce an indicator attached to the virtual water concept termed the internal water use of products (IWUP) to examine direct and indirect water use from local water supply for goods and services in Tianjin for the years 2002,2005,2007 and 2012. The indicator reflects the impact of final demand conditions and product supply chains on local water resources. An environmental input-output analysis technology was used to calculate Tianjin’s IWUP. The driving forces of its changes were studied with structural decomposition analysis (SDA),and its driving mechanism analysis on the social and economic aspects explored. We found that the IWUP of Tianjin increased by 6% (110 million m3)from 2002 to 2012. The effect of per capita final demand volume change is the main driving factor to the increasing IWUP. Whilst the effect of final demand structural change is the principal contributor offsetting IWUP increase. From the point of industrial sectors,which include three categories of agricultural,industrial and service sectors,we find that the agricultural sector has the largest IWUP,but the increase in IWUP is mainly due to expansion of the industrial sector. At the end of this paper we provide some feasible suggestions to save Tianjin’s local water resource and alleviate water pressure. They include reducing exports with high water intensity,improving water use efficiency of export industries,advocating local residents to change consumption patterns,and including water related indicators such as IWUP and water footprint into the green accounting systems of enterprises.

Key words: driving force analysis, input-output analysis, internal water use of products, structural decomposition model, Tianjin City