首页 | 本学科首页   官方微博 | 高级检索  
   检索      

基于假设抽取法的黑河流域中游行业用水关联分析
引用本文:蔡国英,赵继荣.基于假设抽取法的黑河流域中游行业用水关联分析[J].生态学报,2015,35(12):4215-4223.
作者姓名:蔡国英  赵继荣
作者单位:中国科学院寒区旱区环境与工程研究所, 内陆河流域生态水文重点实验室, 兰州 730000,兰州文理学院, 兰州 730000
基金项目:国家自然科学基金重大研究计划重点支持项目资助(91125019)
摘    要:基于2000—2012年张掖市混合型水资源投入产出模型,运用改进的假设抽取法,分析了张掖市6部门水资源关联效应,揭示了水资源在行业间的消耗规律,为调整产业结构提供有利的参考。研究结果表明:(1)各部门水资源直接消耗量与满足自身所需的水资源量不对等,种植业的水资源直接消耗量和纵向集成消耗量均为最大,且其纵向集成消耗水量小于直接消耗量,是张掖市经济系统中真正的水资源净输出部门。(2)种植业的内部效应和复合效应均最大,对自身的依赖性极强。服务业的净后项关联最大,对其他部门的依赖程度最高。(3)水资源在各部门之间发生了转移,种植业是张掖市经济系统中最大的水资源供给者,服务业是各部门中最大的受水者,通过中间投入的方式,由种植业到服务业的路径是最大的水转移途径,而建筑业是"纯"输入部门。(4)2000—2012年间,各部门的内部效应、复合效应、净前项关联和净后项关联均变化显著,进一步反映了产业部门水资源利用的动态关联。

关 键 词:关联效应  假设抽取法  纵向集成消耗  投入产出模型
收稿时间:2014/6/17 0:00:00
修稿时间:2014/12/1 0:00:00

Linkage analysis of water use among industrial sectors in the middle reaches of the Heihe River Basin, China
CAI Guoying and ZHAO Jirong.Linkage analysis of water use among industrial sectors in the middle reaches of the Heihe River Basin, China[J].Acta Ecologica Sinica,2015,35(12):4215-4223.
Authors:CAI Guoying and ZHAO Jirong
Institution:China Key Laboratory of Ecohydrology and Integrated River Basin Science, Cold and Arid Regions Environmental and Engineering Research Institute, China Academy of Sciences, Lanzhou 730000, China and Lanzhou University of Arts and Science, Lanzhou 730000, China
Abstract:With population increases and the socio-economic development of Chinese society, the demand for and use of water in China is increasing rapidly. Water scarcity is one of the main problems for sustainable development, especially in arid areas in the northwest of China. Water saving is thus one of the main concerns of local and national policy makers. Analysis of the linkage effects of water resource use between economic sectors, and the movement of commodities and services using water is helpful in water conservation management, water use rationalization, and in strengthening water-saving practices. The Heihe River is the second largest inland river basin in the northwest of China, and water scarcity is the key problem for its sustainable development. The Zhangye city area, which is in the middle Heihe River Basin, is a pilot area for water saving. For this reason, it was chosen as the research site for this study. To produce commodities and to supply services an area needs water. Water-movements associated with the complex linkages among sectors are usually ignored, however, in favor of measures of direct consumption. Studying the movement of commodities and services can reveal the movement of water. In this study, an input-output resource analysis is integrated with an hypothetical extraction method, to uncover the in-depth characteristics of the inter-sectoral patterns of water movement. Commodity input-output tables and water input-output tables were developed for Zhangye for the years 2000, 2002, 2005, 2007, 2010 and 2012. Based on a mixed type input-output model of Zhangye, water resources for the period 2000-2012, a modified hypothetical extraction method was applied to identify indicators and analyze the linkage effects among six economic sectors of Zhangye in relation to water resource use. These sectors were the planting industry, livestock farming, other agriculture, industry, construction, and service sectors. The results showed that: (1) by comparing direct water consumption with vertically integrated sectoral water consumption, the direct water consumption of all sectors was not equal to the water required to meet final demand in any of them. However, in view of the state of the economy, total direct water consumption in all sectors was deemed equivalent to the total of water required to meet internal demand. With respect to the water resources transferred among productive sectors, the planting industry consumes the largest amount of direct water, and of vertically integrated water consumption. However, because vertically integrated consumption is less than direct water consumption, the planting industry is a real net output sector with respect to water resources in Zhangye; (2) by measuring the internal effects, mixed effects, net forward linkages and net backward linkages in the six sectors, compared with other sectors the internal effects and mixed effects in the planting industry were the largest of all. In contrast, the net backward linkages in the service industry were the largest determinant of inter-sectoral water consumption, which shows that this sector has the highest dependency on other sectors; (3) in terms of the water resources transferred among sectors, the largest water resource provider in Zhangye was the planting industry, and transferred a large amount of water to the service industry by intermediate inputs (the largest recipient of water). Conversely, the construction industry does not make net water transfers to other sectors, but receives a certain amount of net water inputs from them. Thus, the construction industry is a "pure" input sector; and (4) the internal effects, mixed effects, net forward linkages, and net backward linkages of the six sectors were analyzed in terms of the Zhangye economic system between 2000 and 2012. These data show the dynamic linkages relating to water use among industrial sectors, and indicates clearly that the key sector in terms of water use in the Zhangye economic system is the planting industry. This paper argues that the linkage effects of water resource movements among different sectors actually stem from the demand that transfers from one sector to another. Using a modified hypothetical extraction method, and analyzing direct consumption and decomposing the components of water resources, this study could more directly and clearly quantify the linkage relationships found between and within each industrial sector in relation to water resources. This in turn revealed the regularity of industrial water consumption patterns, and therefore may provide a new perspective on structural adjustment, and a more scientific basis for policy-making.
Keywords:linkage effect  hypothetical extraction method  vertically integrated consumption  input-output model
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《生态学报》浏览原始摘要信息
点击此处可从《生态学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号