Abstract
Environmental problems - specifically relating to water - have become the key factors restricting sustainable development. To evaluate the performance of water environment, this study takes 31 provinces in China as the research area and constructs a water environment performance evaluation index system based on a DPSIR framework (Drivers, Pressures, State, Impact and Response). The undesirable output slack measure model (SBM) is used to calculate the water environment performance of 31 provinces from 2005 to 2017. According to the study, the performance of the water environment in China shows a trend of decline, and the overall performance is low. The water environment performance in different provinces shows obvious differences. The Tobit model is then introduced to analyze the influence of indicators on water environment efficiency. The driving force indicators have significant negative effects on water environment performance. The pressure indicators have significant positive effects on the water environment performance. The state indicators play a significant role in promoting the improvement of water environment performance. With regard to the impact indicators, both industrial added value water consumption and GDP growth rate have significant negative effects on water environment performance. The impact of different response measures on water environment performance is inconsistent.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Banker RD, Charnes A, Cooper WW (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science 30(9):1078–1092, DOI: https://doi.org/10.1287/mnsc.30.9.1078
Borji M, Nia AM, Malekian A, Salajegheh A, Khalighi S (2018) Comprehensive evaluation of groundwater resources based on DPSIR conceptual framework. Arabian Journal of Geosciences 11(8):158, DOI: https://doi.org/10.1007/s12517-018-3453-2
Chandrakumar C, McLaren SJ (2018) Towards a comprehensive absolute sustainability assessment method for effective Earth system governance:Defining key environmental indicators using an enhanced-DPSIR framework. Ecological Indicators 90:577–583, DOI: https://doi.org/10.1016/j.ecolind.2018.03.063
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. European Journal of Operational Research 2(6):429–444, DOI: https://doi.org/10.1016/0377-2217(78)90138-8
Chaves HML, Alipaz S (2007) An integrated indicator based on basin hydrology, environment, life, and policy: The Watershed SustainabilityIndex. Water Resources Management 21:883–895, DOI: https://doi.org/10.1007/s11269-006-9107-2
Coelli T (1998) A multi-stage methodology for the solution of orientated DEA models. Operations Research Letters 23(3-5):143–149, DOI: https://doi.org/10.1016/S0167-6377(98)00036-4
Debels P, Figueroa R, Urrutia R, Barra R, Niell X (2005) Evaluation of water quality in the Chillan River (Central Chile) using physicochemical parameters and a modified Water Quality Index. Environmental Monitoring And Assessment 110(1-3):301–322, DOI: https://doi.org/10.1007/s10661-005-8064-1
Faere R, Grosskopf S, Lovell CAK, Pasurka C (1989) Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach. Review of Economics & Statistics 171:90–98, DOI: https://doi.org/10.2307/1928055
Greene WH (1981) On the asymptotic bias of the ordinary least squares estimator of the tobit model. Econometrica 49(2):505–513, DOI: https://doi.org/10.2307/1913323
Guo J, Zhu DD, Wu XH, Yan YZ (2017) Study on environment performance evaluation and regional differences of strictly-environmental-monitored cities in China. Sustainability 9(12):20, DOI: https://doi.org/10.3390/su9122094
Huang RB, Li YH (2013) Undesirable input-output two-phase DEA model in an environmental performance audit. Mathematical and Computer Modelling 58(5-6):971–979, DOI: https://doi.org/10.1016/j.mcm.2012.10.001
Huppes G, Ishikawa M (2005) Eco-efficiency and its terminology. Journal of Industrial Ecology 9(4):43–46, DOI: https://doi.org/10.1162/108819805775247891
Jiang N (2017) Environmental performance evaluation combining environmental strategies-with balanced scorecard as a tool. 14th international conference on services systems and services management, June 16–18, Dalian, China
Jiménez JDB, Lorente JJC (2001) Environmental performance as an operations objective. International Journal of Operations & Production Management 21(12) :1553–1572, DOI: https://doi.org/10.1108/014435701104109
Juwana I, Muttil N, Perera BJC (2012) Indicator-based water sustainability assessment — A review. Science of the Total Environment 438:357–371, DOI: https://doi.org/10.1016/j.scitotenv.2012.08.093
Kapetas L, Kazakis N, Voudouris K, McNicholl D (2019) Water allocation and governance in multi-stakeholder environments: Insight from axios delta, Greece. The Science of the Total Environment 695:133831, DOI: https://doi.org/10.1016/j.scitotenv.2019.133831
Korhonen PJ, Luptacik M (2004) Eco-efficiency analysis of power plants: An extension of data envelopment analysis. European Journal of Operational Research 154(2):437–446, DOI: https://doi.org/10.1016/s0377-2217(03)00180-2
Kortelainen M (2008) Dynamic environmental performance analysis: A Malmquist index approach. Ecological Economics 64(4):701–715, DOI: https://doi.org/10.1016/j.ecolecon.2007.08.001
Levin A, Lin CF, Chu CSJ (2002) Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics 108(1):1–24, DOI: https://doi.org/10.1016/s0304-4076(01)00098-7
Li YJ, Shi X, Emrouznejad A, Liang L (2018) Environmental performance evaluation of Chinese industrial systems: A network SBM approach. Journal of the Operational Research Society 69(6):825–839, DOI: https://doi.org/10.1057/s41274-017-0257-9
Maceno MMC, Pawlowsky U, Machado KS, Seleme R (2018) Environmental performance evaluation − A proposed analytical tool for an industrial process application. Journal of Cleaner Production 172:1452–1464, DOI: https://doi.org/10.1016/j.jclepro.2017.10.289
Peng CY, Zhang J (2012) Addressing urban water resource scarcity in China from water resource planning experiences of Singapore. Advanced Materials Research 433-440:1213–1218, DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.1213
Pullanikkatil D, Palamuleni L, Ruhiiga T (2016) Assessment of land use change in likangala river catchment, Malawi: A remote sensing and DPSIR approach. Applied Geography 71:9–23, DOI: https://doi.org/10.1016/j.apgeog.2016.04.005
Ramos-Quintana F, Ortiz-Hernandez ML, Sanchez-Salinas E, Ursula-Vazquez E, Guerrero JA, Zamorano M (2018) Quantitative-qualitativeassessments of environmental causal networks to support the DPSIR framework in the decision-making process. Environmental Impact Assessment Review 69:42–60, DOI: https://doi.org/10.1016/j.eiar.2017.11.004
Sany SBT, Hashim R, Rezayi M, Salleh A, Safari O (2014) A review of strategies to monitor water and sediment quality for a sustainability assessment of marine environment. Environmental Science and Pollution Research 21(2):813–833, DOI: https://doi.org/10.1007/s11356-013-2217-5
Seppala J, Melanen M, Maenpaa I, Koskela S, Tenhunen J, Hiltunen MR (2005) How can the eco-efficiency of a region be measured and monitored? Journal of Industrial Ecology 9(4):117–130, DOI: https://doi.org/10.1162/108819805775247972
Shiwanthi S, Lokupitiya E, Peiris S (2018) Evaluation of the environmental and economic performances of three selected textile factories in Biyagama Export Processing Zone Sri Lanka. Environmental Development 27:70–82, DOI: https://doi.org/10.1016/j.envdev.2018.07.006
Song ML, Zhang GJ, Fang KG, Zhang J (2016) Regional operational and environmental performance evaluation in China: Non-radial DEA methodology under natural and managerial disposability. Natural Hazards 84:S243–S265, DOI: https://doi.org/10.1007/s11069-015-1933-1
Stylos N, Koroneos C, Roset J, Gonzalez-Sanchez C, Xydis G, Munoz FS (2018) Exergy as an indicator for enhancing evaluation of environmental management performance in the hospitality industry. Journal of Cleaner Production 198:1503–1514, DOI: https://doi.org/10.1016/j.jclepro.2018.07.107
Thoresen J (1999) Environmental performance evaluation — A tool for industrial improvement. Journal of Cleaner Production 7(5):365–370, DOI: https://doi.org/10.1016/s0959-6526(99)00154-7
Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130(3):498–509, DOI: https://doi.org/10.1016/S0377-2217(99)00407-5
Vilanova MRN, Magalhaes P, Balestieri JAP (2015) Performance measurement and indicators for water supply management: Review and international cases. Renewable & Sustainable Energy Reviews 43:1–12, DOI: https://doi.org/10.1016/j.rser.2014.11.043
Wang B, Fang CH (2010) Research on the regional eco-efficiency based on factor analysis-evidence from provincial data 2007. EnvironmentalScience and Management 35(2):158–162, DOI: https://doi.org/10.3969/j.issn.1673-1212.2010.02.041 (in Chinese)
Wang KL, Liu Y, Shi LJ, Liu L, Meng XR, Yang BC (2017) Yangtze River Economic Zone spatial and temporal disparities in industrial green water resource efficiency and influencing factors based on two-step analysis of EBM-Tobit Model. Resources Science 39:1522–1534, DOI: https://doi.org/10.18402/resci.2017.08.09 (in Chinese)
Acknowledgements
This work is supported by: the Fundamental Research Funds for the Central Universities (2019B69214), Postgraduate Research &Practice Innovation Program of Jiangsu Province (SJKY19_0408), National Natural Science Foundation of China (No.71801130), Jiangsu Social Science Foundation Project (18GLD013).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, D., Shen, J. & Sun, F. Evaluation of Water Environment Performance Based on a DPSIR-SBM-Tobit Model. KSCE J Civ Eng 24, 1641–1654 (2020). https://doi.org/10.1007/s12205-020-2370-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-020-2370-6