Measurement and Influencing Factors of Green Efficiency of Water Resources in Urban Agglomerations in Middle Yangtze River

XIAO Yi; CI Xiao-hu; YANG Bing; ZHANG Li-ping; XIA Jun

doi:10.11988/ckyyb.20230206

PDF(7927 KB)

Journal of Changjiang River Scientific Research Institute ›› 2023, Vol. 40 ›› Issue (9) : 8-16. DOI: 10.11988/ckyyb.20230206

Water Resources

Measurement and Influencing Factors of Green Efficiency of Water Resources in Urban Agglomerations in Middle Yangtze River

XIAO Yi^1,2,3, CI Xiao-hu¹, YANG Bing¹, ZHANG Li-ping^1,2,3, XIA Jun^1,2,3

Author information +

History +

Abstract

The high-quality development of the Yangtze River Economic Belt constitutes a crucial strategy tied to overall national growth. Ensuring ecological priority and green development necessitates addressing the fundamental issue of improving the green efficiency of water resources in urban agglomerations. This study introduces the concept of “green development” into traditional research on water resources utilization efficiency. A comprehensive indicator system for evaluating the green efficiency of water resources is constructed. The super-efficiency EBM-DEA (Epsilon-Based Measure - Data Envelopment Analysis) model and panel Tobit model were employed to calculate and analyze the green efficiency of water resources in urban agglomerations in the middle Yangtze River. The findings reveal: 1) Changes in GDP have a significant impact on the economic efficiency of water resources, and the measurement results for the environmental efficiency and green efficiency of water resources are more reflective of actual conditions. From 2009 to 2020, comparisons among various city clusters reveal that the green efficiency of water resources in the Wuhan city cluster consistently outperformed that of the Poyang Lake urban agglomeration and Changsha-Zhuzhou-Xiangtan urban agglomeration. 2) Cities with thriving economies also exhibit high values of water resource utilization efficiency. Areas with abundant water resources in urban agglomerations in the middle Yangtze River demonstrate slightly lower water use efficiency than areas with scarce water resources. Rapid urbanization exerts a restraining effect on green efficiency of water resource, underscoring the need for urban agglomerations in the middle Yangtze River to adhere to a green and new type of urbanization development path.

Key words

green efficiency of water resources / urban agglomeration in middle Yangtze River / super-efficiency EBM-DEA model / Tobit model

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

XIAO Yi, CI Xiao-hu, YANG Bing, ZHANG Li-ping, XIA Jun. Measurement and Influencing Factors of Green Efficiency of Water Resources in Urban Agglomerations in Middle Yangtze River[J]. Journal of Changjiang River Scientific Research Institute. 2023, 40(9): 8-16 https://doi.org/10.11988/ckyyb.20230206

References

[1] 习近平. 在深入推动长江经济带发展座谈会上的讲话[N]. 人民日报, 2018-06-14(2).
[2] 白惠婷, 刘玉春, 赵晗, 等. 京津冀城郊农业园区水资源利用效率评价方法及实例[J]. 中国农村水利水电, 2019(10): 84-92.
[3] 张峰, 薛惠锋, 万里洋, 等. 制造业全要素水资源效率及驱动因素研究[J]. 统计与决策, 2017(14): 135-138.
[4] 李跃. 基于SFA的我国区域水资源利用效率及影响因素分析[J]. 水电能源科学, 2014, 32(12): 39-42, 29.
[5] 孙爱军, 方先明. 中国省际水资源利用效率的空间分布格局及决定因素[J]. 中国人口·资源与环境, 2010, 20(5): 139-145.
[6] 高媛媛, 许新宜, 王红瑞, 等. 中国水资源利用效率评估模型构建及应用[J]. 系统工程理论与实践, 2013, 33(3): 776-784.
[7] 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.
[8] 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, 32(12): 1999-2011.
[9] 张峰, 王晗, 薛惠锋. 环境资源约束下中国工业绿色全要素水资源效率研究[J]. 中国环境科学, 2020, 40(11): 5079-5091.
[10] 潘忠文, 李志献, 徐承红. 环境规制与区域绿色水资源效率提升: 基于长江经济带的实证分析[J]. 调研世界, 2020(11): 10-17.
[11] 潘登, 黄薇, 王树鹏, 等. 基于DEA模型的用水效率研究: 以云南省为例[J]. raybet体育在线院报, 2011, 28(12): 15-18.
[12] 盖美, 吴慧歌, 曲本亮. 新一轮东北振兴背景下的辽宁省水资源利用效率及其空间关联格局研究[J]. 资源科学, 2016, 38(7): 1336-1349.
[13] HU J L, WANG S C, YEH F Y. Total-factor Water Efficiency of Regions in China[J]. Resources Policy, 2006, 31(4): 217-230.
[14] YANG L, OUYANG H, FANG K, et al. Evaluation of Regional Environmental Efficiencies in China Based on Super-Efficiency-DEA[J]. Ecological Indicators, 2015, 51: 13-19.
[15] JIN W, ZHANG H Q, LIU S S, et al. Technological Innovation, Environmental Regulation, and Green Total Factor Efficiency of Industrial Water Resources[J]. Journal of Cleaner Production, 2019, 211: 61-69.
[16] REN Y, FANG C, LIN X, et al. Evaluation of the Eco-Efficiency of Four Major Urban Agglomerations in Coastal Eastern China[J]. Journal of Geographical Sciences, 2019, 29(8): 1315-1330.
[17] 孙才志, 马奇飞, 赵良仕. 中国东、中、西三大地区水资源绿色效率时空演变特征与收敛性分析[J]. 地理科学进展, 2018, 37(7): 901-911.
[18] 张峰, 薛惠锋. 基于绿色发展的工业全要素水资源效率时空特征[J]. 资源科学, 2021, 43(5): 964-973.
[19] 王纪凯, 张峰. 黄河流域工业绿色水资源效率时空演化及影响机制[J]. 调研世界, 2022(10): 78-88.
[20] 岳立, 雷燕燕. 黄河流域绿色水资源效率空间关联网络构建及其演化因素[J]. 西北师大学报(社会科学版), 2022, 59(2): 62-74.
[21] 魏楚, 沈满洪. 水资源效率的测度及影响因素: 基于文献的述评[J]. 长江流域资源与环境, 2014, 23(2): 197-204.
[22] TONE K, TSUTSUI M. An Epsilon-Based Measure of Efficiency in DEA-A Third Pole of Technical Efficiency[J]. European Journal of Operational Research, 2010, 207(3): 1554-1563.
[23] 王济干. 区域水资源配置及水资源系统的和谐性研究[D]. 南京: 河海大学, 2003.
[24] 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, 40(5): 993-1005.
[25] 刘秉镰, 李清彬. 中国城市全要素生产率的动态实证分析: 1990—2006: 基于DEA模型的Malmquist指数方法[J]. 南开经济研究, 2009(3): 139-152.
[26] 杨高升, 谢秋皓. 长江经济带绿色水资源效率时空分异研究: 基于SE-SBM与ML指数法[J]. 长江流域资源与环境, 2019, 28(2): 349-358.
[27] 王普查, 孙冰雪. 能源禀赋、贸易开放对资源绿色利用效率的影响[J]. 大连理工大学学报(社会科学版), 2019, 40(2): 9-16.
[28] 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.
[29] 王莹. 中国省际水资源利用效率及影响因素分析: 基于超效率DEA与Tobit模型[J]. 中国农村水利水电, 2015(5): 41-44, 52.