我国中部地区水资源利用效率评价及归因分析

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Abstract In order to promote the sustainable development of water resources and alleviate the water resource problems in the central China, this study established the SBM model by combining the water footprint and green development index to evaluate the utilization efficiency of water resources, and then assessed its influencing factors with the Tobit model. The results show that the utilization of local water resources in the region was relatively high. However, due to the lack of location advantages of coastal areas, the virtual water import and export trade was underdeveloped. The pressure of water pollution in the central region fluctuated and tended to decrease, especially there was the greatest water pollution pressure in Henan Province where an increase in both the number of sewage treatment plants and their treatment capacity would alleviate the pressure of water pollution. The six provinces in the region had relative higher level of water resources development, but their development potential was smaller, and measures such as cross-regional water diversion could be considered to alleviate the problem. From 2007 to 2018, water resource utilization in the region became more efficient and marginal benefits gradually increased, and the utilization efficiency showed a "U"-shaped development trend. Among them, Anhui Province had the largest degree of data dispersion, and Shanxi Province had the highest water resource utilization efficiency. The technological progress, environmental protection, and water resource endowment of the region significantly affected its water resource utilization efficiency. The results of Tobit regression show that the central China still needs to strengthen the utilization of water resources, which can be achieved through strengthening technical training, upgrading irrigation facilities, water resource regeneration technology, etc. to further promote the sustainable development of water resources.

Key words： water resource utilization efficiency SBM model Tobit model water footprint green development index

Received: 01 September 2022

PACS:	X821
	TV213

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	MA Hui-jun
	YANG Xiao-li
	GAO Tian

Cite this article:

MA Hui-jun,YANG Xiao-li,GAO Tian. Evaluation and attribution of water resource utilization efficiency in the central China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2662-2672.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I5/2662

[1]	宋晓薇.中国中部地区金融资源空间配置效率研究[J].技术经济与管理研究, 2021,(3):91-95. Song X W. Research on spatial allocation efficiency of financial resources in central region of China[J]. Journal of Technical Economics & Management, 2021,(3):91-95.
[2]	光明日报报道组.中部崛起:新机遇新开局[N].光明日报, 2021-11-5(5). Guangming Daily reporting group. Central Rising:New opportunities, new beginnings[N]. Guangming Daily, 2021-11-5(5).
[3]	唐晓彬,何桂烨.我国中部地区正在强势崛起[N].环球时报, 2021-10-28(15). Tang X B, He J Y. The central region of our country is rising strongly[N]. Global Times, 2021-10-28(15).
[4]	阚大学,吕连菊.中部地区城镇化进程下水资源利用预测研究——基于水足迹视角[J].生态经济, 2020,36(3):99-104. Kan D X, Lv L J. A prediction of water resources utilization in the process of urbanization in central China:From the perspective of water footprint[J]. Ecological Economy, 2020,36(3):94-104.
[5]	胡绵好,袁菊红,陈拉.多维视角下区域淡水资源可持续利用研究——以中部四省为例[J].水利与建筑工程学报, 2020,18(4):7-14. Hu M H, Yuan J H, Chen L. Sustainable utilization of regional water resources from a multi-dimensional perspective:A case study of the four provinces in middle China[J]. Journal of Water Resources and Architectural Engineering, 2020,18(4):7-14.
[6]	刘明胜,刘青山.基于水足迹视角下的水资源利用与经济协调发展脱钩分析:以贵州省为例[J].中国农村水利水电, 2017,0(8):86-91. Liu S M, Liu Q S. Decoupling analysis of water resources utilization and economic coordinated development based on water footprint——Taking Guizhou Province as an example[J]. China Rural Water and Hydropower, 2017,0(8):86-91.
[7]	魏婕,杨超.黄河中上游西北地区水资源的利用效率时空演变与驱动因素[J].宁夏社会科学, 2022,(6):143-152. Wei J, Yang C. Spatial-temporal features and driving factors of water resources utilization efficiency in the Northwest China along the Middle and Upper Reaches of the Yellow River[J]. NingXia Social Sciences, 2022,(6):143-152.
[8]	张承琪,高千喜,代玉琨,等.基于DEA-ESTDA的长江经济带水资源利用效率时空格局分析[J].湖北农业科学, 2022,61(18):40-47. Zhang C Q, Gao Q X, Dai Y K, et al. The spatio-temporal pattern analysis of water resources utilization efficiency in the Yangtze River Economic Belt based on DEA-ESTDA[J]. Hubei Agricultural Sciences, 2022,61(18):40-47.
[9]	汤钧惠,伍国勇.中西部地区农业水资源利用效率动态演进及影响因素——基于处理环境效应和随机误差的实证分析[J].新疆农垦经济, 2022,(11):52-56,59. Tang J H, Wu G Y. Dynamic evolution of agricultural water resources utilization efficiency in central and western China and its influencing factors——An empirical analysis based on the treatment of environmental effects and random errors[J]. Xinjiang State Farms Economy, 2022,(11):52-56,59.
[10]	田进明,孟丽红,刘友存,等.江西省城市水资源利用效率时空演变与驱动因素[J].中国农村水利水电, 2022,(9):146-154. Tian J M, Meng L H, Liu Y C, et al. Spatial-temporal changes of urban water efficiency in Jiangxi Province and its influencing factors[J]. China Rural Water and Hydropower, 2022,(9):146-154.
[11]	丁涛,李浩,刘毅.安徽省水资源利用效率时空分异及其影响因素研究——基于DEA-Malmquist模型[J].巢湖学院学报, 2022, 24(4):40-49. Ding T, Li H, Liu Y. Study on temporal and spatial differentiation and influencing factors of water resources utilization efficiency in Anhui Province:Based on DEA-Malmquist model[J]. Journal of Chaohu University, 2022,24(4):40-49.
[12]	王雅洁,刘俊国,赵丹丹.基于水足迹理论的水资源评价——以河北省张家口市宣化区为例[J].水土保持通报, 2018,38(5):213-219. Wang Y J, Liu J G, Zhao D D. Assessing water resources based on theory of water footprint——A case study in Xuanhua District, Zhangjiakou City, Hebei Province[J]. Bulletin of Soil and Water Conservation, 2018,38(5):213-219.
[13]	刘航.水足迹视角下河北省县域土地整治生态绩效评价研究——以衡水市景县为例[D].石家庄:河北地质大学, 2021.
[14]	邓光耀.基于污水排放量分配的中国水资源利用效率测算[J].水资源保护, 2019,35(5):28-34. Deng G Y. Research on evaluation of ecological performance of land rehabilitation in Hebei Province from the perspective of water footprint——A case study of Jingxian Country, Hengshui City[D]. Shijiazhuang:Hebei GEO University, 2021.
[15]	应卓晖,赵衡,王富强,等.基于DEA和Tobit模型的河南省水资源利用效率评价及影响因素[J].南水北调与水利科技(中英文), 2021, 19(2):255-262. Ying Z H, Zhao H, Wang F Q, et al. Evaluation of water resource utilization efficiency and influencing factors in Henan Province based on DEA and Tobit model[J]. South-to-North Water Transfers and Water Science & Technology, 2021,19(2):255-262.
[16]	朱晓梅,魏加华,杨海娇,等.黄河流域城市群水资源利用效率评估及驱动因子分析[J].水资源保护, 2022,38(1):153-159. Zhu X M, Wei J H, Yang H J, et al. Evaluation and driving factor analysis of water resources utilization efficiency of urban agglomerations in the Yellow River Basin[J]. Water Resources Protection, 2022,38(1):153-159.
[17]	张永凯,孙雪梅.黄河流域水资源利用效率测度与评价[J].水资源保护, 2021,37(4):37-43,50. Zhang Y K, Sun S M. Measurement and evaluation of water resources utilization efficiency in the Yellow River Basin[J]. Water Resources Protection, 2021,37(4):37-43,50.
[18]	孙才志,刘玉玉.基于DEA-ESDA的中国水资源利用相对效率的时空格局分析[J].资源科学, 2009,31(10):1696-1703. Sun C Z, Liu Y Y. Analysis of the spatial-temporal pattern of water resources utilization relative efficiency based on DEA-ESDA in China[J]. Resources Science, 2009,31(10):1696-1703.
[19]	赵良仕,刘思佳,孙才志.黄河流域水-能源-粮食安全系统的耦合协调发展研究[J].水资源保护, 2021,37(1):69-78. Zhao L S, Liu S J, Sun C Z. Study on coupling and coordinated development of water-energy-food security system in the Yellow River Basin[J]. Water Resources Protection, 2021,37(1):69-78.
[20]	Chapagain A K, Hoekstra A Y. Virtual water flows between nations in relation to trade in livestock and livestock products:Water Science and Technology:Vol. 49, pp. 203-9[R]. UNESCO-IHE, 2003.
[21]	徐晋轩,杨默远,潘兴瑶,等.基于水足迹的北京市水资源开发利用演变特征分析[J].水资源保护, 2022,38(5):96-104. Xu J X, Yang M Y, Pan X Y, et al. Analysis of evolution characteristics of water resources development and utilization in Beijing based on water footprint[J]. Water Resources Protection, 2022,38(5):96-104.
[22]	赵敏.黄河流域城市高质量发展系统耦合协调度时空演变及驱动力研究[J].统计与信息论坛, 2021,36(10):33-40. Zhao M. The spatio-temporal evolution and driving forces of the coupling coordination degree of urban high-quality development system in the Yellow River Basin[J]. Journal of Statistic and Information, 2021,36(10):33-40.
[23]	史丽娜,唐根年.中国省际高质量发展时空特征及障碍因子分析[J].统计与决策, 2021,37(16):114-118. Shi L N, Tang G N. Analysis on spatial-temporal characteristics and obstacle factors of China's provincial high-quality development[J]. Statistics & Decision, 2021,37(16):114-118.
[24]	高甜,杨肖丽.黄河流域粮食与能源水足迹压力与绿色发展脱钩关系研究[J].节水灌溉, 2021,(10):24-29. Gao T, Yang X L. A study on the decoupling relationship between grain and energy water footprint pressure and green development in the Yellow River Basin[J]. Water Saving Irrigation, 2021,(10):24-29.
[25]	Charnes A, Cooper W, Roodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2(6):429-444.
[26]	Tone K. Dealing with undesirable outputs in DEA:A Slacks-based Measure (SBM) approach[R]. GRIPS Research Report Series, 2003.
[27]	杨玉春,岳立.黄河流域全要素生态效率测度及影响因素分析[J].统计与决策, 2021,37(19):121-124. Yang Y C, Yue L. Measurement of total factor ecological efficiency and analysis of influencing factors in the Yellow River Basin[J]. Statistics & Decision, 2021,37(19):121-124.
[28]	丁绪辉,贺菊花,王柳元.考虑非合意产出的省际水资源利用效率及驱动因素研究——基于SE-SBM与Tobit模型的考察[J].中国人口·资源与环境, 2018,28(1):157-164. Ding X H, He J H, Wang L Y. Inter-provincial water resources utilization efficiency and its driving factors considering undesirable outputs:Based on SE-SBM and Tobit model[J]. China Population, Resources and Environment, 2018,28(1):157-164.
[29]	佟金萍,马剑锋,王圣,等.长江流域农业用水效率研究:基于超效率DEA和Tobit模型[J].长江流域资源与环境, 2015,24(4):603-608. Tong J P, Ma J F, Wang S, et al. Research on agricultural water use efficiency in Yangtze River basin based on super-efficiency DEA and Tobit model[J]. Resources and Environment in the Yangtze Basin, 2015,24(4):603-608.
[30]	何伟,王语苓.黄河流域城市水资源利用效率测算及影响因素分析[J].环境科学学报, 2021,41(11):4760-4770. He W, Wang X. Calculation of urban water resources utilization efficiency in the Yellow River basin and analysis of its influencing factors[J]. Acta Scientiae Circumstantiae, 2021,41(11):4760-4770.
[31]	中国国家统计局.中国统计年鉴[G].北京:中国统计出版社. China's National Bureau of Statistics. China statistical yearbook[G]. Beijing:China statistics press.
[32]	中国农业年鉴编辑委员会.中国农业年鉴[G].北京:中国农业出版社. Editorial committee of China Agriculture Yearbook. China agriculture yearbook[G]. Beijing:China agriculture press.
[33]	中国环境年鉴编辑委员会.中国环境年鉴[G].北京:中国环境年鉴社. Editorial committee of China Environment Yearbook. China environment yearbook[G]. Beijing:China environment press.
[34]	GB 8978-1996污水综合排放标准[S]. GB 8978-1996 Standards on waste water emmision[S].
[35]	中国经济统计年鉴编辑委员会.中国经济统计年鉴[G].北京:中国统计出版社. Editorial committee of China Economic Statistics Yearbook. China economic statistics yearbook[G]. Beijing:China statistics press.
[36]	王胜青,王逸琼.基于面板协整检验的地区学前教育发展实证研究[J].数学的实践与认识, 2019,49(14):314-323. Wang S Q, Wang Y Q. Empirical study on the development of preschool education in area based on panel co-integration test[J]. Mathematics in Practice and Theory, 2019,49(14):314-323.
[37]	李正辉,彭浬,汤萱.杰里·豪斯曼对应用计量经济学的贡献[J].经济学动态, 2016,(11):148-158. Li Z H, Peng L, Tang X. Jerry Houseman's contributions to applied econometrics[J]. Economic Perspectives, 2016,(11):148-158.
[38]	沈家耀,张玲玲.环境约束下江苏省水资源利用效率的时空差异及影响因素研究[J].水资源与水工程学报, 2016,27(5):64-69. Shen J Y, Zhang L L. Spatial and temporal disparity and influence factor of water use efficiency under constraint of environment in Jiangsu[J]. Journal of Water Resources and Water Engineering, 2016, 27(5):64-69.
[39]	俞雅乖,刘玲燕.中国水资源效率的区域差异及影响因素分析[J].经济地理, 2017,37(7):12-19. Yu Y G, Liu L Y. Regional differences and influence factors of water resource efficiency in China:Based on super efficiency DEA-Tobi[J]. Economic Geography, 2017,37(7):12-19.
[40]	任玉芬,苏小婉,贺玉晓,等.中国生态地理区城市水资源利用效率及影响因素[J].生态学报, 2020,40(18):6459-6471. Ren Y F, Su X W, He Y X, et al. Urban water resource utilization efficiency and its influencing factors in eco-geographic regions of China[J]. Acta Ecologica Sinica, 2020,40(18):6459-6471.