Abstract
The urban water resource utilization efficiency is of great significance to solve the water crisis and promote the sustainable development of cities. The current paper aims to help areas with low water utilization efficiency in China to improve cross-regional coordination and improve water resource efficiency. Therefore, the current paper uses an SBM-undesirable model to study the water utilization efficiency of 14 cities in Gansu Province from 2010 to 2018. Then the Dagum Gini coefficient and kernel density estimation methods are used to study the regional differences in efficiency and its evolution trend. The results of the study are as follows: (1) There is a relatively large gap in water resource utilization efficiency among cities in Gansu Province. (2) The overall regional differences in water resource utilization efficiency in Gansu Province generally show a trend of increasing and then shrinking between 2010 and 2018. The inter-regional differences generally show an upward trend. (3) Water resource utilization efficiency of three regions has the characteristics of divergent distribution, and the degree of differentiation continues to decline. The conclusions and suggestions were provided for improving the sustainable development of urban water systems.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig6_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-022-02601-2/MediaObjects/10668_2022_2601_Fig7_HTML.png)
Similar content being viewed by others
Availability of data and materials
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
References
Bian, Y., Yan, S., & Xu, H. (2014). Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: A DEA approach. Resources, Conservation and Recycling, 83, 15–23. https://doi.org/10.1016/j.resconrec.2013.11.010
Chameni Nembua, C. (2005). A three components subgroup decomposition of the Hirschman-Herfindahl index and household’s income inequalities in Cameroon. Applied Economics Letters, 12(15), 941–947. https://doi.org/10.1080/13504850500377959
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Chen, J. Q., Wang, H., & Yang, X. L. (2002). Water Resources Science. Science Press.
Chini, C. M., Konar, M., & Stillwell, A. S. (2017). Direct and indirect urban water footprints of the United States. Water Resources Research, 53(1), 316–327. https://doi.org/10.1002/2016WR019473
Cubbin, J., & Tzanidakis, G. (1998). Regression versus data envelopment analysis for efficiency measurement: An application to the England and wales regulated water industry. Utilities Policy, 7(2), 75–85. https://doi.org/10.1016/S0957-1787(98)00007-1
Dagum, C. (1997). A new approach to the decomposition of the Gini income inequality ratio. Empirical Economics, 22(4), 515–531. https://doi.org/10.1007/978-3-642-51073-1_4
Deng, G., Li, L., & Song, Y. (2016). Provincial water use efficiency measurement and factor analysis in china: based on sbm-dea model. Ecological Indicators, 69(oct), 12–18. https://doi.org/10.1016/j.ecolind.2016.03.052
Ding, Q., Shan, X., Jin, X., Gorfine, H., & Wang, Y. (2021). Dynamic evolution analysis of recreational fisheries development in China. Fisheries Management and Ecology. https://doi.org/10.1111/fme.12475
Fan, J., Liu, X., & Wang, D. (2018). Study on ecosystem services and spatial and temporal evolution of water resources development and utilization in Gansu province. Ekoloji, 27(106), 1029–1039.
Gansu Provincial Water Resources Department, Gansu Province Water Resources Bulletin 2010–2018, Gansu Provincial Water Resources Department, 2010–2018. http://slt.gansu.gov.cn.
Gansu Development Yearbook Editorial Board, Gansu Province Development Yearbook 2010–2018, China Statistics Press: Beijing, 2011–2019. https://navi.cnki.net/knavi.
Guan, D., & Hubacek, K. (2007). Assessment of regional trade and virtual water flows in China. Ecological Economics, 61(1), 159–170. https://doi.org/10.1016/j.ecolecon.2006.02.022
He, W. J., Lai, Y. S., Karmacharya, B. M., Dai, B. F., Hao, Y. T., & Xu, D. R. (2018). Geographical heterogeneity and inequality of access to improved drinking water supply and sanitation in Nepal. International Journal for Equity in Health, 17(1), 1–14. https://doi.org/10.1186/s12939-018-0754-8
Inuiguchi, M., & Mizoshita, F. (2008). SBM and bipolar models in data envelopment analysis with interval data. In International conference on modeling decisions for artificial intelligence (pp. 98–109). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-88269-5_10
Kaneko, S., Tanaka, K., Toyota, T., & Managi, S. (2004). Water efficiency of agricultural production in China: Regional comparison from 1999 to 2002. International Journal of Agricultural Resources, Governance and Ecology, 3(3–4), 231–251. https://doi.org/10.1504/IJARGE.2004.006038
Lee, J. M., Yoo, C. K., & Lee, I. B. (2003). New monitoring technique with an ICA algorithm in the wastewater treatment process. Water Science and Technology, 47(12), 49–56. https://doi.org/10.2166/wst.2003.0627
Li, Z. M., & Liao, H. C. (2012). Input and output analysis of water resources across China in 2010. Resource Science, 34, 2274–2281.
Liao, H., & Dong, Y. (2011). Utilization efficiency of water resources in 12 western provinces of China based on the DEA and Malmquist TFP index. Resources Science, 33(2), 273–279. https://doi.org/10.1631/jzus.A1000105
Lu, X., Kuang, B., & Li, J. (2018). Regional difference decomposition and policy implications of China’s urban land use efficiency under the environmental restriction. Habitat International, 77, 32–39. https://doi.org/10.1016/j.habitatint.2017.11.016
Lyu, S., Chen, W., Zhang, W., Fan, Y., & Jiao, W. (2016). Wastewater reclamation and reuse in China: Opportunities and challenges. Journal of Environmental Sciences, 39, 85–96. https://doi.org/10.1016/j.jes.2015.11.012
Ma, H., Ding, Y., & Wang, L. (2017). Measurement and convergence analysis of green water use efficiency. Journal of Natural Resources, 32, 406–417. https://doi.org/10.11849/zrzyxb.20160381
National Development and Reform Commission. (2011). Guiding opinions on comprehensive utilization of resources in the twelfth five-year plan. https://www.ndrc.gov.cn/fggz/hjyzy/zyzhly/201112/W020190910601308660106.pdf (Accessed January 13, 2021).
Niu, W. J., & Feng, Z. K. (2021). Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management. Sustainable Cities and Society, 64, 102562. https://doi.org/10.1016/j.scs.2020.102562
Okadera, T., Watanabe, M., & Xu, K. (2006). Analysis of water demand and water pollutant discharge using a regional input–output table: An application to the City of Chongqing, upstream of the three Gorges Dam in China. Ecological Economics, 58(2), 221–237. https://doi.org/10.1016/j.ecolecon.2005.07.005
Oum, T. H., & Yu, C. (1994). Economic efficiency of railways and implications for public policy: a comparative study of the OECD countries’ railways. Journal of transport Economics and Policy, 121–138. https://www.jstor.org/stable/20053031.
Park, M. J., Yun, D. S., Chin, H. S., & Shin, M. J. (2014). An analysis on the inter and intra regional inequalities of rural area facility by a Gini Decomposition method. Journal of Korean Society of Rural Planning, 20(3), 11–20. https://doi.org/10.7851/ksrp.2014.20.3.011
Paul, S. K., Kumar, R., Pal, R., & Ghosh, A. (2020). Safe drinking water and toilet facility in public places in India: What we need to do! Journal of Family Medicine and Primary Care, 9(6), 2593. https://doi.org/10.4103/jfmpc.jfmpc_318_20
People's Government of Gansu Province. (2011). Gansu implements the strictest water management system. http://www.gansu.gov.cn/art/2011/7/15/art_35_56526.html (Accessed January 13, 2021).
People's Government of Gansu Province. (2017). Opinions on the Implementation of the Thirteenth Five-Year Plan Western Development in Gansu Province. http://www.gansu.gov.cn/art/2017/5/31/art_4786_309475.html (Accessed 13 January 2021).
Qu, G. (2020). An evaluation method for water pollution treatment efficiency in coastal cities based on regional management. Journal of Coastal Research, 110(SI), 100–103. https://doi.org/10.2112/JCR-SI110-024.1
Ren, C., Guo, P., Yang, G., Li, R., & Liu, L. (2016). Spatial and temporal analyses of water resources use efficiency based on data envelope analysis and malmquist index: Case study in Gansu province, China. Journal of Water Resources Planning and Management. https://doi.org/10.1061/(asce)wr.1943-5452.0000719
Serrao-Neumann, S., Renouf, M. A., Morgan, E., Kenway, S. J., & Choy, D. L. (2019). Urban water metabolism information for planning water sensitive city-regions. Land Use Policy, 88, 104144. https://doi.org/10.1016/j.landusepol.2019.104144
Sharma, K. R., Leung, P. S., & Zaleski, H. M. (1999). Technical, allocative and economic efficiencies in swine production in Hawaii: A comparison of parametric and nonparametric approaches. Agricultural Economics, 20(1), 23–35. https://doi.org/10.1016/S0169-5150(98)00072-3
Shen, C., Feng, R., & Yu, B. (2018). Industrial CO 2 emissions efficiency and its determinants in China: Analyzing differences across regions and industry sectors. Polish Journal of Environmental Studies. https://doi.org/10.15244/pjoes/76794
Sherman, H. D., & Gold, F. (1985). Bank branch operating efficiency - evaluation with data envelopment analysis. Journal of Banking & Finance, 9(2), 297–315. https://doi.org/10.1016/0378-4266(85)90025-1
Shi, C., Zeng, X., Yu, Q., Shen, J., & Li, A. (2021). Dynamic evaluation and spatiotemporal evolution of china’s industrial water use efficiency considering undesirable output. Environmental Science and Pollution Research, 28(16), 20839–20853. https://doi.org/10.1007/s11356-020-11939-x
Song, M., Tao, W., Shang, Y., & Zhao, X. (2022). Spatiotemporal characteristics and influencing factors of China’s urban water resource utilization efficiency from the perspective of sustainable development. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.130649
Song, M., Wang, R., & Zeng, X. (2018). Water resources utilization efficiency and influence factors under environmental restrictions. Journal of Cleaner Production, 184, 611–621. https://doi.org/10.1016/j.jclepro.2018.02.259
Tone, K. (2004). Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. Presentation At NAPW III, Toronto, 44–45. https://www.researchgate.net/publication/284047010_Dealing_with_undesirable_outputs_in_DEA_a_Slacks-Based_Measure_SBM_approach
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5
Veettil, P. C., Speelman, S., & Van Huylenbroeck, G. (2013). Estimating the impact of water pricing on water use efficiency in semi-arid cropping system: An application of probabilistically constrained nonparametric efficiency analysis. Water Resources Management, 27(1), 55–73. https://doi.org/10.1007/s11269-012-0155-5
Wang, S., Zhou, L., Wang, H., & Li, X. (2018). Water use efficiency and its influencing factors in China: Based on the data envelopment analysis (DEA)—tobit model. Water, 10(7), 832. https://doi.org/10.3390/w10070832
Wang, Y., Xu, H., & Bian, Y. (2016). Industrial water use system efficiency evaluation: A twostage DEA model considering pollutants disposability. Chinese Journal of Management Sciences, 24(3), 169–176. https://doi.org/10.16381/j.cnki.issn1003-207x.2016.03.020
Wei, J., Lei, Y., Yao, H., Ge, J., & Liu, L. (2021). Estimation and influencing factors of agricultural water efficiency in the yellow river basin, china. Journal of Cleaner Production, 308(10), 127249. https://doi.org/10.1016/j.jclepro.2021.127249
WWAP (UNESCO World Water Assessment Programme). (2019). The United Nations world water development report 2019: Leaving no one behind. Paris, UNESCO. https://en.unesco.org/themes/water-security/wwap/wwdr/2019#download
Yang, Y., & Jiang, S. (2016). Irrigation water efficiency evaluation of agricultural irrigation water efficiency based on DEA and malmquist index. Ecological Economy, 32(05), 147–151. CNKI:SUN:STJJ.0.2016-05-029.
Yang, J., Liu, X., Ying, L., Chen, X., & Li, M. (2020). Correlation analysis of environmental treatment, sewage treatment and water supply efficiency in China. Science of the Total Environment, 708, 135128. https://doi.org/10.1016/j.scitotenv.2019.135128
Yao, X., Feng, W., Zhang, X., Wang, W., Zhang, C., & You, S. (2018). Measurement and decomposition of industrial green total factor water efficiency in China. Journal of Cleaner Production, 198, 1144–1156. https://doi.org/10.1016/j.jclepro.2018.07.138
Yu, Y. G., & Liu, L. Y. (2017). Regional differences and influence factors of water resource efficiency in China: Based on super efficiency DEA-Tobit. Economic Geography, 37(07), 12–19. https://doi.org/10.15957/j.cnki.jjdl.2017.07.002
Yue, L. (2014). Use efficiency of domestic water resources and influencing factors analysis based on stochastic frontier analysis. Water Resources and Power, (12), 10. http://en.cnki.com.cn/Article_en/CJFDTOTAL-SDNY201412010.htm
Zhang, C., He, W., & Hao, R. (2017). Comparative analysis of Asian main iron and steel countries’ total factor energy efficiency. Current Science, 112, 2226. https://doi.org/10.18520/cs/v112/i11/2226-2233
Zhao, L., Sun, C., & Liu, F. (2017). Interprovincial two-stage water resource utilization efficiency under environmental constraint and spatial spillover effects in China. Journal of Cleaner Production, 164, 715–725. https://doi.org/10.1016/j.jclepro.2017.06.252
Zhao, X., Mahendru, M., Ma, X., Rao, A., & Shang, Y. (2022a). Impacts of environmental regulations on green economic growth in China: New guidelines regarding renewable energy and energy efficiency. Renewable Energy, 187, 728–742. https://doi.org/10.1016/j.renene.2022.01.076
Zhao, X., Ma, X., Shang, Y., Yang, Z., & Shahzad, U. (2022b). Green economic growth and its inherent driving factors in Chinese cities: Based on the Metafrontier-global-SBM super-efficiency DEA model. Gondwana Research, 106, 315–328. https://doi.org/10.1016/j.gr.2022.01.013
Zhou, S., Du, A., & Bai, M. (2015). Application of the environmental Gini coefficient in allocating water governance responsibilities: A case study in Taihu Lake Basin China. Water Science and Technology, 71(7), 1047–1055. https://doi.org/10.2166/wst.2015.069
Acknowledgements
We would like to thank all participants in the study. This work is supported by the Department of Science and Technology of Sichuan Province Fund (2021JDRC0002).
Author information
Authors and Affiliations
Contributions
This paper was written and was carried out by QG in collaboration with all co-authors. Data were collected by JL and SL. The first and final drafts were written by JL and XL. The defects of the draft were critiqued by QG and GG. The results were analyzed by XL and SL. The research and key elements of models were reviewed by QG. The writing work of corresponding parts and the major revisions of this paper were completed by JL and XL. The revised part of the article was all completed by JL and XL.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known conflict of interest or personal relationships that could have appeared to influence the work reported in this paper.
Consent to publish
Not applicable’ for that specific section.
Ethics approval and consent to participate
Not applicable’ for that specific section.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Liang, X., Li, J., Guo, G. et al. Urban water resource utilization efficiency based on SBM-undesirable–Gini coefficient–kernel density in Gansu Province, China. Environ Dev Sustain 25, 13015–13034 (2023). https://doi.org/10.1007/s10668-022-02601-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10668-022-02601-2