自然资源学报 ›› 2019, Vol. 34 ›› Issue (5): 945-956.doi: 10.31497/zrzyxb.20190504
收稿日期:
2018-09-04
修回日期:
2019-01-10
出版日期:
2019-05-28
发布日期:
2019-05-28
作者简介:
作者简介:孙才志(1970- ),男,山东烟台人,博士,教授,主要从事水资源经济与管理研究。E-mail:
基金资助:
Received:
2018-09-04
Revised:
2019-01-10
Online:
2019-05-28
Published:
2019-05-28
摘要:
基于2012年中国31个省(市)区的投入产出表,建立水资源扩展型的投入产出模型,测算了中国31个省(市)区的水足迹及水足迹贸易量,并基于省际贸易分析了省(市)区间空间转移格局。结果显示:(1)2012年,中国水足迹总量为4819.3亿m3,国际贸易净输入水足迹为261.3亿m3,省际贸易净输出水足迹为801.6亿m3,省际贸易在全国水足迹贸易中占主导地位。(2)就省(市)区而言,河北、黑龙江等19个省(市)区为净输出省份,北京、天津等12个省(市)区为净输入省份;分产业来看,第一产业水足迹净输出757.9亿m3;第二产业净输入222.2亿m3、第三产业净输出4.6亿m3。(3)省际间水足迹空间转移具有来源与去向的不一致性,同时存在省(市)区转移的地理邻近性,资源丰富省份和经济发达地区转移现象明显。
孙才志, 刘淑彬. 基于MRIO模型的中国省(市)区水足迹测度及空间转移格局[J]. 自然资源学报, 2019, 34(5): 945-956.
Cai-zhi SUN, Shu-bin LIU. Water footprint and space transfer at provincial level of China based on MRIO model[J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(5): 945-956.
Table 1
Results of water footprint in 31 provinces of China (亿m3)"
省(市)区 | 内部水足迹 | 输出水足迹 | 输入水足迹 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
农村 消费 | 城镇 消费 | 政府 消费 | 投资 | 总和 | 国内省外流出 | 出口 | 总和 | 国内省外流入 | 进口 | 总和 | |||
北京 | 2.3 | 38.3 | 4.0 | 25.8 | 70.4 | 350.5 | 22.6 | 373.1 | 260.5 | 176.4 | 436.9 | ||
天津 | 2.8 | 25.9 | 2.2 | 25.9 | 56.8 | 29.5 | 11.1 | 40.5 | 85.5 | 23.9 | 109.4 | ||
河北 | 23.0 | 56.4 | 8.4 | 90.6 | 178.4 | 172.7 | 9.3 | 182.0 | 119.8 | 12.6 | 132.4 | ||
山西 | 21.3 | 40.9 | 3.1 | 39.0 | 104.2 | 24.4 | 2.0 | 26.4 | 36.8 | 2.4 | 39.2 | ||
内蒙古 | 8.1 | 21.0 | 16.7 | 46.0 | 91.8 | 75.2 | — | 75.2 | 142.4 | — | 142.4 | ||
辽宁 | 11.7 | 51.1 | 6.4 | 69.4 | 138.6 | 85.2 | 17.8 | 103.0 | 100.3 | 20.7 | 121.0 | ||
吉林 | 11.2 | 18.9 | 5.2 | 79.3 | 114.6 | 77.8 | 4.3 | 82.1 | 69.6 | 13.0 | 82.6 | ||
黑龙江 | 23.0 | 78.9 | 13.0 | 106.8 | 221.7 | 386.7 | 18.6 | 405.3 | 235.7 | 45.2 | 280.9 | ||
上海 | 6.6 | 119.6 | 6.8 | 36.2 | 169.2 | 152.0 | 84.5 | 236.5 | 213.4 | 124.1 | 337.5 | ||
江苏 | 36.6 | 79.8 | 25.0 | 103.0 | 244.4 | 270.3 | 113.3 | 383.6 | 193.2 | 117.3 | 310.4 | ||
浙江 | 17.3 | 98.7 | 6.2 | 72.0 | 194.3 | 84.7 | 57.9 | 142.5 | 156.6 | 33.7 | 190.2 | ||
安徽 | 20.8 | 48.8 | 7.0 | 62.5 | 139.1 | 251.0 | 12.8 | 263.7 | 196.1 | 8.3 | 204.4 | ||
福建 | 23.3 | 68.3 | 9.9 | 93.8 | 195.3 | 59.3 | 63.9 | 123.1 | 46.8 | 62.0 | 108.8 | ||
江西 | 41.4 | 65.1 | 8.2 | 62.7 | 177.4 | 131.5 | 10.5 | 142.1 | 86.5 | 5.5 | 92.0 | ||
山东 | 16.6 | 43.4 | 11.8 | 74.3 | 146.1 | 23.2 | 30.6 | 53.8 | 61.0 | 58.3 | 119.3 | ||
河南 | 22.6 | 35.3 | 11.2 | 58.6 | 127.7 | 105.5 | 5.8 | 111.3 | 96.6 | 7.1 | 103.8 | ||
湖北 | 23.6 | 49.5 | 9.5 | 146.8 | 229.4 | — | 53.7 | 53.7 | — | 40.4 | 40.4 | ||
湖南 | 44.5 | 94.8 | 10.3 | 94.8 | 244.3 | 189.7 | 4.9 | 194.6 | 106.7 | 4.5 | 111.3 | ||
广东 | 54.7 | 228.6 | 15.4 | 79.8 | 378.4 | 84.4 | 153.9 | 238.4 | 156.7 | 173.7 | 330.3 | ||
广西 | 41.8 | 72.8 | 12.1 | 84.2 | 210.8 | 174.1 | 12.3 | 186.4 | 77.8 | 46.2 | 124.1 | ||
海南 | 4.9 | 13.6 | 1.3 | 17.7 | 37.6 | 91.2 | 2.3 | 93.5 | 61.3 | 7.6 | 68.8 | ||
重庆 | 8.8 | 32.6 | 3.6 | 54.5 | 99.5 | 98.2 | 0.9 | 99.1 | 97.3 | 1.0 | 98.3 | ||
四川 | 42.5 | 68.0 | 9.2 | 68.6 | 188.3 | 24.5 | 12.1 | 36.6 | 38.5 | 6.7 | 45.2 | ||
贵州 | 32.3 | 30.0 | 6.3 | 38.6 | 107.2 | 61.4 | 4.8 | 66.2 | 60.8 | 1.8 | 62.6 | ||
云南 | 54.6 | 59.4 | 4.5 | 64.7 | 183.1 | 80.3 | 9.0 | 89.3 | 70.8 | 16.3 | 87.2 | ||
西藏 | 8.9 | 7.7 | 1.4 | 18.8 | 36.7 | 1.7 | 3.3 | 5.0 | 14.1 | 0.1 | 14.2 | ||
陕西 | 11.3 | 36.6 | 7.2 | 75.7 | 130.8 | 171.0 | 30.5 | 201.5 | 139.0 | 20.9 | 159.9 | ||
甘肃 | 28.3 | 35.6 | 13.4 | 45.0 | 122.3 | 129.9 | 4.3 | 134.2 | 74.5 | 7.1 | 81.6 | ||
青海 | 4.0 | 11.7 | 6.8 | 28.5 | 51.0 | — | 16.3 | 16.3 | — | 15.1 | 15.1 | ||
宁夏 | 18.0 | 44.2 | 4.5 | 22.0 | 88.6 | 53.3 | 7.3 | 60.6 | 57.4 | 0.9 | 58.4 | ||
新疆 | 65.5 | 152.4 | 11.9 | 111.1 | 340.9 | 571.3 | 29.6 | 600.8 | 153.0 | 18.3 | 171.3 |
[1] | 孙才志, 刘淑彬. 中国膳食水足迹区域差异及驱动因素分析. 人民黄河, 2017, 39(9): 39-45, 50. |
[SUN C Z, LIU S B.The impacts of driving factors and the regional difference of dietary water footprint in China. Yellow River, 2017, 39(9): 39-45, 50.] | |
[2] | ALLAN J A.Fortunately there are substitutes for water otherwise our hydro-political futures would be impossible. Priorities for Water Resources Allocation and Management.//London: ODA, 1993. |
[3] | CHAPAGAIN A K, HOEKSTRA A Y.Water footprints of nations. //Delft, the Netherlands: Value of Water Research Report Series: No.16.IHE, 2004. |
[4] | 程国栋. 虚拟水:中国水资源安全战略的新思路. 中国科学院院刊, 2003, 18(4): 260-265. |
[CHENG G D.Virtual water: A strategic instrument to achieve water security. Bulletin of Chinese Academy of Sciences, 2003, 18(4): 260-265.] | |
[5] | DOBOS I, TALLOS P.A dynamic input-output model with renewable resource. Central European Journal of Operations Research, 2013, 21(2): 295-305. |
[6] | HARGREAVES J J, HOBBS C F.Metamodeling of input-output relationships for complex power market models. Energy Systems, 2013, 4(1): 25-45. |
[7] | 王晓萌, 黄凯, 杨顺顺, 等. 中国产业部门水足迹演变及其影响因素分析. 自然资源学报, 2014, 29(12): 2114-2126. |
[WANG X M, HUANG K, YANG S S, et al.Temporal variability and influencing factors of sectoral water footprint in China. Journal of Natural Resources, 2014, 29(12): 2114-2126.] | |
[8] | LENZEN M, FORAN B.An input-output analysis of Australian water usage. Water Policy, 2001, 3(4): 321-340. |
[9] | KONDO K.Economic analysis of water resources in Japan: Using factor decomposition analysis based on input-output tables. Environmental Economics & Policy Studies, 2005, 7(2): 109-129. |
[10] | DIETZENBACHER E, VELAZQUEZ E.Analysing Andalusian virtual water trade in an input-output framework. Regional Studies, 2007, 41(2): 185-196. |
[11] | WANG H R, WANG Y.An input-output analysis of virtual water uses of the three economic sectors in Beijing. Water International, 2009, 34: 451-467. |
[12] | YU Y, HUBACEK K, FENG K, et al.Assessing regional and global water footprints for the UK. Ecological Economics, 2010, 69(5): 1140-1147. |
[13] | 黄晓荣, 裴源生, 梁川. 宁夏虚拟水贸易计算的投入产出方法. 水科学进展, 2005, 16(4): 564-568. |
[HUANG X R, PEI Y S, LIANG C.Input-output method for calculating the virtual water trading in Ningxia. Advances in Water Science, 2005, 16(4): 564-568.] | |
[14] | 赵旭, 杨志峰, 陈彬. 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. |
[ZHAO X, YANG Z F, CHEN B.Study on Chinese virtual water trade and consumption in an input-output framework. Journal of Natural Resources, 2009, 24(2): 286-294.] | |
[15] | 蔡振华, 沈来新, 刘俊国, 等. 基于投入产出方法的甘肃省水足迹及虚拟水贸易研究. 生态学报, 2012, 32(20): 6481-6488. |
[CAI Z H, SHEN L X, LIU J G, et al.Applying input-output analysis method for calculation of water footprint and virtual water trade in Gansu province. Acta Ecologica Sinica, 2012, 32(20): 6481-6488.] | |
[16] | 谭圣林, 邱国玉, 熊育久. 投入产出法在虚拟水消费与贸易研究中的新应用. 自然资源学报, 2014, 29(2): 355-364. |
[TAN S L, QIU G Y, XIONG Y J.New application of the input-output framework in the study of virtual water consumption and trade. Journal of Natural Resources, 2014, 29(2): 355-364.] | |
[17] | HATANO T, OKUDA T. Virtual water analysis on the Yellow River Basin using multi-regional I-Otables. Paper presented at 15th International Conference on Input-Output Techniques, 2005, Beijing, China. |
[18] | LENZEN M.Understanding virtual water flows: A multiregion input-output case study of Victoria. Water Resources Research, 2009, 45(9): 416-426. |
[19] | FENG K S, SIU Y L, GUAN D, et al.Assessing regional virtual water flows and water footprintsin the Yellow River Basin, China: A consumption based approach. Applied Geography, 2012, 32: 691-701. |
[20] | CHAO Z, ANADON L D.A multi-regional input-output analysis of domestic virtual water trade and provincial water footprint in China. Ecological Economics, 2014, 100: 159-172. |
[21] | 李方一, 刘卫东, 刘红光. 区域间虚拟水贸易模型及其在山西省的应用. 资源科学, 2012, 34(5): 802-810. |
[LI F Y, LIU W D, LIU H G.Inter-regional virtual water trade model andits application in Shanxi province. Resources Science, 2012, 34(5): 802-810.] | |
[22] | 王雪妮. 基于区域间投入产出模型的中国虚拟水贸易格局及趋势研究. 管理评论, 2014, 26(7): 46-54. |
[WANG X N.Research on distribution and tendency of virtual water trade in China based on inter-regional input-output model. Management Review, 2014, 26(7): 46-54.] | |
[23] | 曹涛, 王赛鸽, 陈彬. 基于多区域投入产出分析的京津冀地区虚拟水核算. 生态学报, 2018, 38(3): 788-799. |
[CAO T, WANG S G, CHEN B.Virtual water analysis for Beijing-Tianjin-Hebei region based on multiregional input-output model. Acta Ecologica Sinca, 2018, 38(3): 788-799.] | |
[24] | 李晨, 丛睿, 邵桂兰. 基于MRIO模型与LMDI方法的中国水产品贸易隐含碳排放转移研究. 资源科学, 2018, 40(5): 1063-1072. |
[LI C, CONG R, SHAO G L.Embodied carbon emissions transfer in China aquatic product trade based on MRIO modeling and LMDI methods. Resources Science, 2018, 40(5): 1063-1072.] | |
[25] | 许健, 陈锡康, 杨翠红. 完全用水系数及增加值用水系数的计算方法. 水利水电科技进展, 2003, (2): 17-20, 69. |
[XU J, CHEN X K, YANG C H.Calculating method for total water input coefficient and water input coefficient for added value. Advances in Science and Technology of Water Resources, 2003, (2): 17-20, 69.] | |
[26] | 刘冠飞. 基于投入产出模型的天津市虚拟水贸易分析. 天津: 天津大学, 2009. |
[LIU G F.The analysis of Tianjin's virtual water trade based on input-output model. Tianjin: Tianjin University, 2009.] | |
[27] | 石敏俊, 王妍, 张卓颖, 等. 中国各省区碳足迹与碳排放空间转移. 地理学报, 2012, 67(10): 1327-1338. |
[SHI M J, WANG Y, ZHANG Z Y, et al.Regional carbon footprint and interregional transfer of carbon emissions in China. Acta Geographica Sinica, 2012, 67(10): 1327-1338.] | |
[28] | OKUDA T, HATANO T, QI S.An estimation of a multi-regional input-output table in China and the analysis. , 2014-01-15. |
[29] | 中华人民共和国水利部. 中国水资源公报2012. 北京: 中国水利水电出版社, 2013. |
[Ministry of Water Resources of the People's Republic of China. Chinese Water Resources Bulletin 2012. Beijing: China Water Power Press, 2013.] | |
[30] | 刘雅婷, 王赛鸽, 陈彬. 基于投入产出分析的北京市虚拟水核算. 生态学报, 2018, 38(6): 1-10. |
[LIU Y T, WANG S G, CHEN B.Virtual water analysis for Beijing based on input-output modeal. Acta Ecologica Sinca, 2018, 38(6): 1-10.] | |
[31] | 李凤丽, 曲士松, 王维平, 等. 1997-2012年山东省虚拟水贸易变化及典型区生态环境响应. 灌溉排水学报, 2018, 37(2): 123-128. |
[LI F L, QU S S, WANG W P, et al.Changes of virtual water trade of Shandong province in 1997-2012 and the ecological environment response of typical areas. Journal of Irrigation and Drainage, 2018, 37(2): 123-128.] | |
[32] | 许爽爽, 马树才, 付云鹏. 基于投入产出法的辽宁省水足迹和虚拟水核算. 沈阳师范大学学报: 自然科学版, 2018, 36(1): 58-62. |
[XU S S, MA S C, FU Y P.Calculation of water footprint and virtual water in Liaoning province with input-output analysis model. Journal of Shenyang Normal University: Natural Science Edition, 2018, 36(1): 58-62.] | |
[33] | 王庆喜, 徐维祥. 多维距离下中国省际贸易空间面板互动模型分析. 中国工业经济, 2014, (3): 31-43. |
[WANG Q X, XU W X.A research on Chinese inter-provincial trade based on spatial panel interaction model under multi-dimensional distances. China Industrial Economics, 2014, (3): 31-43.] | |
[34] | 赵永亮. 国内贸易的壁垒因素与边界效应: 自然分割和政策壁垒. 南方经济, 2012, (3): 13-22, 36. |
[ZHAO Y L.Domestic trade barriers and border effect-the natural segmentation and policy barriers. South China Journal of Economics, 2012, (3): 13-22, 36.] | |
[35] | 王勇. 全行业口径下中国区域间贸易隐含虚拟水的转移测算. 中国人口·资源与环境, 2016, 26(4): 107-115. |
[WANG Y.Virtual water transfer calculation among China's regional trade based on whole industry caliber. China Population, Resources and Environment, 2016, 26(4): 107-115.] | |
[36] | HOEKSTRA A Y.Virtual water trade: Proceedings of the international expert meeting on virtual water trade//Value of Water Research Report Series No. 12. Delft. The Netherlands: UNESCO-IHE. , 2003, 2012-04-06. |
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