基于“生产—治理”两阶段评价的长江经济带工业水资源绿色效率研究

江西财经大学学报 ›› 2020, Vol. 0 ›› Issue (2): 26-36.

基于“生产—治理”两阶段评价的长江经济带工业水资源绿色效率研究

张熙悦^1,2, 孙芳城¹, 王怀祖³

1. 重庆工商大学长江上游经济研究中心,重庆 400020;
2. 重庆第二师范学院经济与工商管理学院,重庆 400067;
3. 重庆理工大学知识产权学院,重庆 400054

收稿日期:2019-07-15 出版日期:2020-03-25 发布日期:2020-12-14
通讯作者: 张熙悦,重庆工商大学博士研究生,重庆第二师范学院副教授,主要从事区域经济与环境管理研究,联系方式zxy.914@163.com。
作者简介:孙芳城,重庆工商大学教授,博士生导师,主要从事区域经济与环境管理研究;王怀祖,重庆理工大学副教授,博士,主要从事生态创新研究。
基金资助:
国家社会科学基金项目“长江经济带环境审计协同机制构建及实现路径研究”(17XJY007)

A Study of the Green Efficiency of Industrial Water Resource in Yangtze River Economic Zone Based on the Two-Stage Evaluation of Production and Treatment

ZHANG Xi-yue^1,2, SUN Fang-cheng¹, WANG Huai-zu³

1. Chongqing Technology and Business University, Chongqing 400067;
2. Chongqing University of Education, Chongqing 400067;
3. Chongqing University of Technology, Chongqing 400054, China

Received:2019-07-15 Online:2020-03-25 Published:2020-12-14

摘要/Abstract

摘要： 长江经济带工业水资源绿色综合效率的提升需要系统性地考虑生产与治理两个阶段的影响。利用网络SBM-Malmquist模型,分别评价了2010—2015年长江经济带工业生产用水效率、废水治理效率及两阶段综合绿色效率。研究结果表明,长江经济带在生产用水阶段的效率高于废水治理阶段的效率,两阶段综合绿色效率增长较好,其增长主要由生产用水阶段的技术进步所主导,在废水治理阶段的管理效率与技术进步水平还需要加强。长江上游及长江下游地区的生产用水效率增长相对较大,但上游地区废水治理效率增长相对不足,长江中游地区的情况则与长江上游地区相反。研究有利于更加系统性地评价与提升长江经济带工业水资源绿色效率。

关键词: 工业绿色效率, 水资源, 长江经济带, 网络SBM-Malmquist

Abstract: To improve the green efficiency of industrial water resource in Yangtze River Economic Zone, it is necessary to consider systematically the impact of the two stages of production and sewage treatment. By employing the network SBM-Malmquist method, this paper evaluates respectively the industrial water efficiency, sewage treatment efficiency and the integrated green efficiency of the two stages in Yangtze River Economic Zone from 2010 to 2015. The findings show that the efficiency at production water-using stage in Yangtze River Economic Zone is higher than the efficiency at the sewage treatment stage. The integrated green efficiency at the two stages has better increased due to the technological progress at the production water-using stage, whereas the management efficiency and technological progress level need to be improved at the sewage treatment stage. The growth of production water-using efficiency is comparatively higher in the upstream and downstream areas of the Yangtze River; however, the growth of sewage-treating efficiency is comparatively lower in the upstream area, while that in the midstream area is the opposite. This study can shed some lights on the systematical evaluation and improvement of the green efficiency of industrial water resource in Yangtze River Economic Zone.

Key words: industrial green efficiency, water resource, Yangtze River Economic Zone, network SBM-Malmquist

中图分类号:

F061.5

张熙悦, 孙芳城, 王怀祖. 基于“生产—治理”两阶段评价的长江经济带工业水资源绿色效率研究[J]. 江西财经大学学报, 2020, 0(2): 26-36.

ZHANG Xi-yue, SUN Fang-cheng, WANG Huai-zu. A Study of the Green Efficiency of Industrial Water Resource in Yangtze River Economic Zone Based on the Two-Stage Evaluation of Production and Treatment[J]. Journal of Jiangxi University of Finance and Economics, 2020, 0(2): 26-36.

参考文献

[1] 王浩,李文华,李百炼,等. 绿水青山的国家战略、生态技术及经济学[M]. 南京:江苏凤凰科学技术出版社,2019.
[2] 沈满洪,陈庆能. 水资源经济学[M]. 北京:中国环境科学出版社,2008.
[3] 汪克亮,刘悦,史利娟,等. 长江经济带工业绿色水资源效率的时空分异与影响因素[J]. 资源科学,2017,(8):1522-1534.
[4] Solow R.M. Technical Change And The Aggregate Production Function[J]. Review of Economics and Statistics, 1957, 39(3):312-320.
[5] 师博,姚峰,李辉. 创新投入、市场竞争与制造业绿色全要素生产率[J]. 人文杂志,2018,(1):26-36.
[6] 买亚宗,孙福丽,石磊,等. 基于DEA 的中国工业水资源利用效率评价研究[J]. 干旱区资源环境,2014,(11): 42-47.
[7] 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[J]. 中国人口·资源与环境,2018,(1):157-164.
[8] Song M., Wang R., Zeng X.Water Resources Utilization Efficiency and Influence Factors under Environmental Restrictions[J]. Journal of Cleaner Production, 2018, 184: 611-621.
[9] 孙才志,姜坤,赵良仕.中国水资源绿色效率测度及空间格局研究[J]. 自然资源学报,2017,(12):1999-2011.
[10] 孙才志,马奇飞,赵良仕. 基于SBM-Malmquist生产率指数模型的中国水资源绿色效率变动研究[J]. 资源科学,2018,(5):993-1005.
[11] 卢曦,许长新. 基于三阶段DEA与Malmquist指数分解的长江经济带水资源利用效率研究[J]. 长江流域资源与环境,2017,(1):7-14.
[12] Zeng S., Chen X., Dong X., et al.Efficiency Assessment of Urban Wastewater Treatment Plants in China: Considering Greenhouse Gas Emissions[J]. Resources, Conservation and Recycling, 2017, (120): 157-165.
[13] Castellet L., Molinos-Senante M.Efficiency Assessment of Wastewater Treatment Plants: A Data Envelopment Analysis Approach Integrating Technical, Economic, and Environmental Issues[J]. Journal of Environmental Management. 2016, 167: 160-166.
[14] 范纯增,顾海英,姜虹.中国工业水污染治理效率及部门差异[J]. 生态经济,2016,(6):174-178.
[15] 陈明,邱俊钦. 基于环境库兹涅茨曲线的水环境规制研究[J]. 江西财经大学学报,2018,(4):53-59.
[16] Fare R.,Grosskopf S.Intertemporal Production Frontiers: with Dynamic DEA[J]. Journal of the Operational Research Society, 1997, 48(6): 656.
[17] Tone K., Tsutsui M.Network DEA: A Slacks-based Measure Approach[J]. European Journal of Operational Research, 2009, 197: 243-252.
[18] Wu J., Lv L., Sun J., et al.A Comprehensive Analysis of China's Regional Energy Saving and Emission Reduction Efficiency: From Production and Treatment Perspectives[J]. Energy Policy, 2015, 84: 166-176.
[19] Wang Q., Hang Y., Sun L., et al.Two-Stage Innovation Efficiency of New Energy Enterprises in China: A non-radial DEA approach[J]. Technological Forecasting and Social Change, 2016, 112: 254-261.
[20] 王有森,许皓,卞亦文. 工业用水系统效率评价:考虑污染物可处理特性的两阶段DEA[J]. 中国管理科学,2016,(3):169-176.
[21] 赵良仕,孙才志,刘凤朝.环境约束下中国省际水资源两阶段效率及影响因素研究[J]. 中国人口·资源与环境,2017,(5):27-36.
[22] Tone K.Dealing with Undesirable Outputs in DEA: A Slacks-based Measure Approach[R]. GRIPS, 2003.
[23] Oh D.A. Global Malmquist-Luenberger Productivity Index[J]. Journal of Productivity Analysis, 2010,(3):183-197.
[24] Chambers R.G., Chung Y. H., Fare R. Benefit and Distance Functions[J]. Journal of Economic Theory, 1996, 70: 407-419.
[25] Chung Y.H., Fare R., Grosskopf S. Productivity and Undesirable Outputs: A Directional Distance Function Approach[J]. Journal of Environmental Management, 1997, 51: 229-240.
[26] 单豪杰,师博. 中国工业部门的资本回报率: 1978-2006[J]. 产业经济研究,2008,37(6):1-9.
[27] Hall B.H., Mairesse J. Exploring the Relationship between RD and Productivity in French Manufacturing Firms[J]. Journal of Econometrics, 1995, 65(1): 263-293.
[28] Ali A.I., Seiford L. M. Translation Invariance in Data Envelopment Analysis[J]. Operations Research Letters, 1990, 9(6): 403-405.