Water use performance and wastewater decontamination performance improvement is an effective way to alleviate water shortage. Industrial production system in China can be divided into production water use sub-system and wastewater decontamination sub-system. By considering the linkages between the two sub-systems and the disposability of pollutants in different sub-systems, a new two-stage network DEA model is proposed to evaluate the performance of china's industrial water use systems. The proposed model is applied to evaluate the performance of 30 regional industrial water use systems of China. The application results show that the overall efficiency of regional water use systems is relatively low in China and the inefficiency is largely driven by wastewater decontamination performance. There exist significant regional disparities in water use efficiencies of regions and areas. In particular, evident relationships between water use efficiency and water resource endowment, and a region may achieve a high efficiency score with relatively lower resource endowment, and vice versa. The proposed model can simultaneously evaluate the efficiencies of the whole industrial water use system and its two sub-systems, and it can identify the key factors that affect the performance of industrial water use systems. The proposed model can also be applied to evaluate regional energy efficiencies. All these show the great practical value of the proposed model.
WANG You-sen, XU Hao, BIAN Yi-wen
. Industrial Water Use System Efficiency Evaluation: A Two-stage DEA Model Considering Pollutants Disposability[J]. Chinese Journal of Management Science, 2016
, 24(3)
: 169
-176
.
DOI: 10.16381/j.cnki.issn1003-207x.2016.03.020
[1] Marlow R. Agriculture water use efficiency in the United States[C]//Proceedings of In:Presented at the U.S./China Water Resources Management Conference. Tucson, Arizona,1999.
[2] Mo X, Liu S, Lin Z, et al. Prediction of crop yield, water consumption and water use efficiency with an SVAT-crop growth model using remotely sensed data on the North China Plain[J]. Ecological Modelling, 2005;183:301-22.
[3] Huang Yilong, Chen Liding, Fu Bojie, et al. The wheat yields and water-use efficiency in the Loess Plateau:Straw mulch and irrigation effects[J].Agricultural Water Management, 2005, 72(3):209-22.
[4] Hu Jinli, Wang S C, Yeh F Y. Total-factor water efficiency of regions in China[J]. Resource Policy, 2006, 31(4):217-30.
[5] 刘渝, 杜江, 张俊飚. 湖北省农业水资源利用效率评价[J]. 中国人口·资源与环境, 2007, 17(6):60-65.
[6] 廖虎昌, 董毅明. 基于DEA和Malmquist指数的西部12省水资源利用效率研究[J]. 资源科学, 2011, 33(2):273-279.
[7] 岳立, 赵海涛. 环境约束下的中国工业用水效率研究-基于中国13个典型工业省区2003年-2009年数据[J]. 资源科学, 2011, 33(11):2071-2079.
[8] 马海良, 黄德春, 张继国. 考虑非合意产出的水资源利用效率及影响因素研究[J].中国人口·资源与环境,2012, 22(10):35-42.
[9] 卞亦文. 非合作博弈两阶段生产系统的环境效率评价[J]. 管理科学学报, 2012, 17(7), 11-18.
[10] Bian Yiwen, Yan Shuai, Xu Hao. Efficiency evaluation for regional urban water use and wastewater decontamination systems in China:A DEA approach[J]. Resources, Conservation and Recycling, 2014,83(2):15-23.
[11] Färe R, Primont D. Multi-output production and duality:Theory and applications[M]. Boston:Kluwer Academic Publishers, 1995.
[12] Färe R, Grosskopf S. Modeling undesirable factors in efficiency evaluation:Comment[J]. European Journal of Operational Research, 2004, 157(1):242-5.
[13] Färe R, Grosskopf S,Whittaker G. Network DEA.[M]//Zhu J,Cook WD.Modeling data irregularities and structural complexities in data envelopment analysis.US:Springer,2007:209-240.
[14] 毕功兵,梁樑,杨锋.两阶段生产系统的DEA效率评价模型[J].中国管理科学,2007,15(2):92-96.
[15] Liang Liang, Yang Feng, Cook WD, et al. DEA models for supply chain efficiency evaluation[J]. Annals of Operations Research, 2006, 145(1):35-49.
[16] 王赫,张屹山.两阶段DEA前沿面投影问题研究——兼对我国上市银行运营绩效进行评价[J]. 中国管理科学,2012,20(2):114-120.
[17] Färe R, Grosskopf S, Pasurka CA. Environmental production functions and environmental directional distance functions[J]. Energy, 2007, 32(7):1055-66.
[18] Tone K, Tsutsui M. Dynamic DEA with network structure:A slacks-based measure approach[J].Omega, 2014, 42(1):124-131.
[19] Cook W D, Liang Liang, Zhu J. Measuring performance of two-stage network structures by DEA:A review and future perspective[J]. Omega, 2010, 38(6):423-430.
[20] Bian Yiwen, Yang Feng. Resource and environment efficiency analysis of provinces in China:a DEA approach based on Shannon's entropy[J]. Energy Policy,2010; 38(4):1909-17.