黑河流域产业间虚拟水转移及其关联分析
Virtual Water Transfer and Linkages among Industries in the Heihe River Basin
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文摘
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以干旱区黑河流域甘临高地区(甘州区、临泽县和高台县)为研究区,采用环境投入产出方法,结合前向和后向联系,分析研究区产业部门间的虚拟水转移及关联效应。结果表明: 2012年甘临高地区蓝水直接消耗为5.96×10~8 m~3。第一产业蓝水直接消耗中有57%转移给第二产业和第三产业,而第二产业和第三产业向外转移的比例分别为19.5%和3%。绿水直接消耗为1.29×10~8 m~3,其中有57%用于部门间的虚拟水转移。第一产业是虚拟水转出最大的部门,而“其他制造业”、“食品制造及烟草加工业”、“交通运输、仓储和邮政业”以及“住宿和餐饮业”是对第一产业虚拟水转出拉动效应最大的部门。在水资源约束的情况下,建议对未来甘临高工业、服务业发展所带动的农产品耗水量增加进行控制,并提出遵循“延伸生产者责任原则”;利用虚拟水贸易,增加原材料农产品的蓝、绿虚拟水进口;发展对第一产业虚拟水拉动效应较小的产业等措施。 |
其他语种文摘
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Water scarcity has become as a major bottleneck for the development of arid regions in China. In particular, the contradiction between water urbanization and water scarcity has raised a lot of concerns in arid region. Virtual water,defined as the water consumption during the economic activities when producing goods and providing services,provides a new perspective for alleviating regional water scarcity. Most previous virtual water studies focused on the virtual water trade among different regions. However, less studies analyzed the virtual water transfers and linkages among different economic sectors. Under the background of“water caps on production”, it is necessary to study the water transfers and the resultant linkages in economic sectors in the form of virtual water flow. Combined with backward and forward linkages in economic analysis, in this study an environmental input-output method was used to analyze virtual water transfers and linkages among economic sectors in terms of water consumption. Both blue water (surface water and groundwater) and green water (rain water) consumptions were considered as the physical water input into the economic sectors. This physical water was then converted to virtual water and redistributed in the economic system. A case study was carried out in an arid region consisting of Ganzhou District and Linze and Gaotai counties (GLG) in the Heihe River Basin,China. The Heihe River Basin is the second largest inland river basin in China. The GLG region is the main consumer of water resources,accounting for over 90% of total water consumption in the Heihe River Basin. The results showed that total direct blue water consumption in 2012 was 5.96 ×10~8 m~3. About 57% of the total direct blue water consumption for primary sector was transferred into secondary sector and tertiary sector. While only 19.5% and 3% of that for secondary sector and tertiary sector were transferred into other sectors, respectively. The total direct green water consumption was 1.29 ×10~8 m~3,and about 57% of that was transferred into other sectors. This results also explained why agriculture had such high blue water consumption,accounting for 97% of total in GLG. This is because the virtual water transfer increased the virtual water demand of both secondary and tertiary sectors,as a result, the water consumption of primary sector was driven by both secondary and tertiary sectors. The combination of virtual water transfer and virtual water trade analysis showed that the volumes of 2.66 ×10~8 m~3 of blue virtual water and of 0.59 ×10~8 m~3 of green virtual water were transferred from primary sector to secondary and tertiary sectors,and then exported to the regions outside GLG. |
来源
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干旱区研究
,2018,35(1):27-34 【核心库】
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DOI
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10.13866/j.azr.2018.01.04
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关键词
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虚拟水
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产业关联
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核算方法
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向后转移
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前向转移
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黑河流域
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地址
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1.
北京林业大学自然保护区学院, 北京, 100083
2.
南方科技大学环境科学与工程学院, 深圳, 518055
3.
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, 江苏, 南京, 210098
4.
哈尔滨工业大学环境学院, 黑龙江, 哈尔滨, 150001
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1001-4675 |
学科
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社会科学总论;水利工程 |
基金
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国家自然科学基金
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文献收藏号
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CSCD:6157133
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参考文献 共
18
共1页
|
1.
梁变变. 河西走廊城镇化与水资源效益的时空格局演变.
干旱区研究,2017,34(2):452-463
|
CSCD被引
8
次
|
|
|
|
2.
王永静. 新疆玛纳斯河流域用水结构演变及其驱动力分析.
干旱区研究,2017,34(2):243-250
|
CSCD被引
15
次
|
|
|
|
3.
杨舒媛. "以水四定"方法初探及在北京的应用.
北京规划建设,2016(3):100-103
|
CSCD被引
6
次
|
|
|
|
4.
Allan T.
Fortunately there are Substitutes for Water: Otherwise Our Hydropo-litical Futures would be Impossible Priorities for Water Resources Allocation and Management,1992
|
CSCD被引
1
次
|
|
|
|
5.
Liu J. Systems integration for global sustainability.
Science,2015,347(6225):1258832
|
CSCD被引
30
次
|
|
|
|
6.
Vorosmarty C J. Fresh water goes global.
Science,2015,349:478-479
|
CSCD被引
6
次
|
|
|
|
7.
赵旭. 基于投入产出分析技术的中国虚拟水贸易及消费研究.
自然资源学报,2009,24(2):286-294
|
CSCD被引
32
次
|
|
|
|
8.
Serrana A. Virtual water flows in the EU27: A consumption-based approach.
Journal of Industrial Ecology,2016,20(3):547-558
|
CSCD被引
6
次
|
|
|
|
9.
Zhao X. Burden shifting of water quantity and quality stress from megacity Shanghai.
Water Resources Research,2016,52:WR018595
|
CSCD被引
5
次
|
|
|
|
10.
Rasmussen P N.
Studies in Inter-sectoral Relations,1956
|
CSCD被引
6
次
|
|
|
|
11.
Yu Y. Assessing regional and global water footprints for the UK.
Ecological Economics,2010,69:1140-1147
|
CSCD被引
27
次
|
|
|
|
12.
宋先松. 黑河流域水资源约束下的产业结构调整研究--以张掖市为例.
干旱区资源与环境,2004,18(5):81-84
|
CSCD被引
6
次
|
|
|
|
13.
魏智. 黑河分水后下游地下水位和可开采储量的变化.
干旱区研究,2008,25(3):336-341
|
CSCD被引
5
次
|
|
|
|
14.
Hirschman A O.
The Strategy of Economic Development,1958
|
CSCD被引
32
次
|
|
|
|
15.
甘肃发展年鉴编委会.
甘肃发展年鉴2013,2013
|
CSCD被引
2
次
|
|
|
|
16.
Suh S. Are Services Better for Climate Change?.
Environmental Science & Technology,2006,40:6555-6560
|
CSCD被引
4
次
|
|
|
|
17.
Zhao X. Reduction and reallocation of water use of products in Beijing.
Ecological Indicators,2016,61:893-898
|
CSCD被引
3
次
|
|
|
|
18.
Lenzen M. Shared producer and consumer responsibility: Theory and practice.
Ecological Economics,2007,61:27-42
|
CSCD被引
28
次
|
|
|
|
|