• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于投入产出法和社会网络分析的中国经济产业内水锁定。

Water lock-in within China's economic industry based on the input-output method and social network analysis.

机构信息

Business School, Shandong University, Weihai, Shandong, China.

School of Economics and Management, Beihang University, Beijing, China.

出版信息

Environ Sci Pollut Res Int. 2022 Mar;29(15):22391-22403. doi: 10.1007/s11356-021-17463-w. Epub 2021 Nov 17.

DOI:10.1007/s11356-021-17463-w
PMID:34787808
Abstract

As one of the countries with the most severe water resource problems, China faces enormous challenges in the intensive use of water resources. Rapid economic development has led to serious waste of water resources in the industry, resulting in path dependence on water-consuming technologies, namely the concept of 'water lock-in'. This study aims to estimate the water lock-in effects in various industries in China from 1997 to 2017. To this end, a novel combination of the input-output analysis and social network analysis methods is used to calculate 'integrated, intra-sectorial and inter-sectorial' water lock-in, identify the complex water resource dependence relationship and explore the dynamic evolution process of the lock-in mechanism. The research results are as follows. (1) From 1997 to 2017, the integrated, intra-sectorial and inter-sectorial water lock-in coefficients decreased by 82.08%, 77.92% and 83.14%, respectively. (2) Non-metallic minerals and other mining products underwent the largest decline in water lock-in within the sectors, whereas coal, oil and gas extraction products underwent the most significant decline in water lock-in between the sectors. (3) Water lock-in conduction is most durable and obvious from S01 (agriculture, forestry, fishery products and services) to S06 (textiles). Policy recommendations are suggested to realise the water-unlocking path.

摘要

作为水资源问题最严重的国家之一,中国在水资源集约利用方面面临巨大挑战。经济的快速发展导致工业水资源严重浪费,形成了对耗水技术的路径依赖,即“水锁定”概念。本研究旨在估算 1997 年至 2017 年中国各行业的水锁定效应。为此,采用投入产出分析和社会网络分析方法的新组合来计算“综合、部门内和部门间”水锁定,识别复杂的水资源依赖关系,并探索锁定机制的动态演变过程。研究结果如下。(1)1997 年至 2017 年,综合、部门内和部门间水锁定系数分别下降了 82.08%、77.92%和 83.14%。(2)在部门内,非金属矿物及其他采矿产品的水锁定下降幅度最大,而部门间,煤炭、石油和天然气开采产品的水锁定下降幅度最大。(3)水锁定传导最持久且明显,从 S01(农业、林业、渔业产品和服务业)到 S06(纺织业)。建议采取政策措施实现解水锁路径。

相似文献

1
Water lock-in within China's economic industry based on the input-output method and social network analysis.基于投入产出法和社会网络分析的中国经济产业内水锁定。
Environ Sci Pollut Res Int. 2022 Mar;29(15):22391-22403. doi: 10.1007/s11356-021-17463-w. Epub 2021 Nov 17.
2
A social network analysis in dynamic evaluate critical industries based on input-output data of China.基于中国投入产出数据的动态评估关键产业的社会网络分析。
PLoS One. 2022 Apr 7;17(4):e0266697. doi: 10.1371/journal.pone.0266697. eCollection 2022.
3
China's pilot emissions trading schemes and competitiveness: An empirical analysis of the provincial industrial sub-sectors.中国的试点排放交易计划与竞争力:省级工业子行业的实证分析。
J Environ Manage. 2020 Mar 15;258:109997. doi: 10.1016/j.jenvman.2019.109997. Epub 2020 Jan 7.
4
Ecological network analysis of industrial wastes metabolism based on input-output model for Jiangsu, China.基于投入产出模型的江苏省工业废物代谢生态网络分析。
Waste Manag. 2022 Apr 15;143:23-34. doi: 10.1016/j.wasman.2022.02.011. Epub 2022 Feb 23.
5
Carbon footprint and water footprint in China: Similarities and differences.中国的碳足迹和水足迹:异同。
Sci Total Environ. 2020 Oct 15;739:140070. doi: 10.1016/j.scitotenv.2020.140070. Epub 2020 Jun 8.
6
The Impact of Waste Paper Recycling on the Carbon Emissions from China's Paper Industry.废纸回收对中国造纸业碳排放的影响。
Environ Manage. 2021 May;67(5):811-821. doi: 10.1007/s00267-020-01417-y. Epub 2021 Jan 18.
7
Structural path analysis of China's coal consumption using input-output frameworks.基于投入产出框架的中国煤炭消费结构路径分析。
Environ Sci Pollut Res Int. 2020 Mar;27(7):6796-6812. doi: 10.1007/s11356-019-07176-6. Epub 2019 Dec 24.
8
Multiregional input-output model for China's farm land and water use.中国农田和水资源的多区域投入产出模型。
Environ Sci Technol. 2015 Jan 6;49(1):403-14. doi: 10.1021/es503637f. Epub 2014 Dec 18.
9
Study on the measurement and the changing trend of the energy use of China's economic sectors: based on cross-region input-output model.中国经济部门能源利用的测度及变化趋势研究——基于跨区域投入产出模型
Environ Sci Pollut Res Int. 2021 Feb;28(5):5296-5315. doi: 10.1007/s11356-020-10776-2. Epub 2020 Sep 22.
10
Employment impact assessment of carbon capture and storage (CCS) in China's power sector based on input-output model.基于投入产出模型的中国电力部门碳捕集与封存(CCS)的就业影响评估
Environ Sci Pollut Res Int. 2019 May;26(15):15665-15676. doi: 10.1007/s11356-019-04928-2. Epub 2019 Apr 4.