| 24 | 0 | 1 |
| 下载次数 | 被引频次 | 阅读次数 |
在全球水资源短缺与区域经济发展不平衡的背景下，中国省际虚拟水流动中“资源输出地承担环境成本、经济输入地获取发展红利”的非公平现象显著。基于2017年中国多区域投入产出表，构建“虚拟水强度-增加值率”关联模型，结合象限分析与公平性指数，量化31个省份19个行业的虚拟水流动的公平性失衡问题。研究发现：东部沿海形成“虚拟水输入-高附加值输出”的高效模式，中西部资源型产业面临“高耗水-低回报”困境，新疆农业等案例证明节水技术与高附加值产业可破解公平性矛盾。本研究可作为跨区域生态补偿与产业结构优化的量化依据。
Abstract：Against the backdrop of global water scarcity and unbalanced regional economic development, the inequity in China's interprovincial virtual water flows, where resources-exporting regions bear environmental costs while economic-importing regions gain development dividends, is remarkable. This study, based on the 2017 Chinese multi-regional input-output table, constructed a “virtual water intensity-value added rate” correlation model, combining quadrant analysis and an equity index to quantify the virtual water economic efficiency of 19 industries in 31 provinces. The research reveals that the eastern coastal areas have formed an efficient model of “virtual water input-high value-added output”, while resources-based industries in the central and western regions face the dilemma of “high water consumption-low return”. Cases like Xinjiang's agriculture demonstrate that water-saving technologies and high-value-added industries can resolve equity contradictions. This study provides a quantitative basis for cross-regional ecological compensation and industrial structure optimization.
[1] LIU J G,LI D L,CHEN H,et al.Timing the First Emergence and Disappearance of Global Water Scarcity[J].Nature Communications,2024,15:7129.
[2] RINALDO A.Ecohydrology Amid a Rapidly Changing World[J].Nature Water,2024,2:209-210.
[3] LIU J G,YANG H,GOSLING S N,et al.Water Scarcity Assessments in the Past,Present,and Future[J].Earth's Future,2017,5(6):545-559.
[4] WANG X X,XIAO X M,ZOU Z H,et al.Gainers and Losers of Surface and Terrestrial Water Resources in China During 1989-2016[J].Nature Communications,2020,11:3471.
[5] LIU X,DU H B,ZHANG Z K,et al.Can Virtual Water Trade Save Water Resources?[J].Water Research,2019,163:114848.
[6] CHAPAGAIN A K,HOEKSTRA A Y.Virtual Water Trade:A Quantification of Virtual Water Flows Between Nations in Relation to International Crop Trade[J].Journal of Organic Chemistry,2003,23:1-244.
[7] 西北农林科技大学.中国粮食生产水足迹与区域虚拟水流动报告(1997—2023)[R].杨凌：西北农林科技大学，2024:15-28.
[8] 赵良仕，孙才志，郑德凤.中国省际水资源利用效率与空间溢出效应测度[J].地理学报，2014,69(1):121-133.
[9] 孙才志，胡淼，郑靖伟.全程耦合框架下中国虚拟水贸易[J].地理学报，2025,80(1):81-100.
[10] 肖沁霖，邓宗兵.“双碳”目标下生态文明发展差距测度、来源分解及形成机理：基于重大国家战略区域视角的考察[J].经济问题探索，2024(3):172-190.
[11] 左其亭，吴青松，马军霞，等.“双碳”目标下水资源行为调控研究框架及展望[J].水资源保护，2023,39(1):8-14,56.
[12] 李艳，张巧良.中国省际虚拟水生态补偿研究[J].中国软科学，2022(8):79-91.
[13] 赵勇，黄可静，高学睿，等.黄河流域粮食生产水足迹及虚拟水流动影响评价[J].水资源保护，2022,38(4):39-47.
[14] 韩宇平，李想，苏潇雅，等.基于多区域投入产出模型的京津冀地区虚拟水贸易分析[J].华北水利水电大学学报(自然科学版),2022,43(5):45-52.
[15] 郑靖伟，孙才志.基于MRIO与ESTDA模型的中国水资源流动格局分析[J].中国人口·资源与环境，2023,33(4):172-183.
[16] 刘叶，张馨戈，王镇岳.河南省农产品虚拟水贸易发展水平测度及其驱动因素分析[J].华北水利水电大学学报(自然科学版),2022,43(4):29-35.
[17] 邓光耀，毛颖.黄河流域虚拟水贸易核算及影响因素研究[J].人民黄河，2024,46(4):68-72,85.
[18] 徐东来，孙秀秀，李文良，等.自然变化和人类活动影响下区域虚拟水贸易定量分析[J].人民黄河，2023,45(9):90-95.
[19] CHEN W M,WU S M,LEI Y L,et al.China's Water Footprint by Province,and Inter-Provincial Transfer of Virtual Water[J].Ecological Indicators,2017,74:321-333.
[20] ZHANG C,ANADON L D.AMulti-Regional Input-Output Analysis of Domestic Virtual Water Trade and Provincial Water Footprint in China[J].Ecological Economics,2014,100:159-172.
[21] CAI B M,ZHANG W,HUBACEK K,et al.Drivers of Virtual Water Flows on Regional Water Scarcity in China[J].Journal of Cleaner Production,2019,207:1112-1122.
[22] FENG K S,SIU Y L,GUAN D B,et al.Assessing Regional Virtual Water Flows and Water Footprints in the Yellow River Basin,China:A Consumption Based Approach[J].Applied Geography,2012,32(2):691-701.
[23] 钱文婧，贺灿飞.中国水资源利用效率区域差异及影响因素研究[J].中国人口·资源与环境，2011,21(2):54-60.
[24] HU P,CHEN N,LI Y J,et al.Efficiency Evaluation of Water Consumption in a Chinese Province-Level Region Based on Data Envelopment Analysis[J].Water,2018,10(6):793.
[25] 杨庚霞.黄河流域生态脆弱区水资源利用评价[J].人民黄河，2024,46(增刊1):33-34,36.
[26] JIANG Y K,CAI W J,DU P F,et al.Virtual Water in Interprovincial Trade with Implications for China's Water Policy[J].Journal of Cleaner Production,2015,87:655-665.
[27] 杨屹，郭一丹.黄河流域关中平原城市群水资源利用效率与公平性评价[J].人民黄河，2024,46(6):60-67.
[28] 郑洁，吴三忙，李善同，等.中国出口导致的地区间虚拟水消耗与增加值收益的不公平交换[J].中国人口·资源与环境，2022,32(4):164-176.
[29] LIU J G,LIU Q Y,YANG H.Assessing Water Scarcity by Simultaneously Considering Environmental Flow Requirements,Water Quantity,and Water Quality[J].Ecological Indicators,2016,60:434-441.
[30] 许健，陈锡康，杨翠红.直接用水系数和完全用水系数的计算方法[J].水利规划设计，2002(4):28-30,36.
[31] DALIN C,HANASAKI N,QIU H G,et al.Water Resources Transfers Through Chinese Interprovincial and Foreign Food Trade[J].Proceedings of the National Academy of Sciences of the United States of America,2014,111(27):9774-9779.
[32] ZHOU B,LI Y,ALI T.Sector-Level Inter-Provincial Virtual Water Trade in China:Implications for Regional Water Stress[J].Sustainability,2024,16(9):3666.
[33] 中国碳核算数据库.2017年中国多区域投入产出表[DB/OL].(2020-02-25)[2025-07-07].https://www.ceads.net.cn/data/input_output_tables/.
[34] 孙才志，郑靖伟.基于MRIO与SNA的中国水资源空间转移网络分析[J].水资源保护，2020,36(1):9-17.
[35] 许爽爽.基于投入产出表的中国行业水足迹核算分析[D].沈阳：辽宁大学，2018:26-29.
[36] LENZEN M,MORAN D,KANEMOTO K,et al.Building Eora:A Global Multi-Region Input-Output Database at High Country and Sector Resolution[J].Economic Systems Research,2013,25(1),20-49.
[37] KOOPMAN R,POWERS W M,WANG Z,et al.Give Credit Where Credit is Due:Tracing Value Added in Global Production Chains[J].National Bureau of Economic Research,2010(9):16426.
基本信息:
DOI：
中图分类号:TV213.4
引用信息:
[1]孙才志,曹杰.基于MRIO模型的中国省际虚拟水流动公平性评估[J].人民黄河,2025,47(09):70-76.
基金信息:
国家社会科学基金重点项目(19AJY010)