Abstract
Exploring the influencing factors and improvement paths of green water use efficiency (GWUE) based on different regions is very important for the protection and utilization of water resources in the Yellow River Basin (YRB). However, previous studies focused only on the external impact of water use efficiency and did not take into account both internal and external factors. For the zoning of the YRB, the traditional upper, middle, and lower zoning methods were mostly used, and they could not show the impact of climatic and geological conditions. Therefore, based on ecogeographical divisions, the dynamic evolutionary characteristics, regional differences, and internal inefficiencies of green water use efficiency for 48 cities in the YRB from 2008 to 2018 are analyzed using a data envelopment analysis-slack-based measure (DEA-SBM) model, global Malmquist‒Luenberger (GML) index decomposition, and kernel density estimation. We further use a panel Tobit model to analyze the external influencing factors of green water use efficiency and propose ways to improve the utilization of water resources in different regions from both the internal and external perspectives. The results are as follows: (1) During the study period, the GWUE fluctuated between 0.58 and 0.67 and showed a trend of improving in the arid areas and deteriorating in the humid area. (2) Exploring the sources of inefficiency from the internal perspective reveals that the labor redundancy, capital redundancy, and wastewater redundancy in the semihumid area are higher; the energy redundancy in the semiarid area is higher; and the economic output in the arid area is insufficient. (3) From the GML perspective, the absolute difference in the green water use efficiency of the cities in the YRB is expanding. Regarding the technical efficiency (EC) index, the technical efficiency of the semiarid area has a convergence effect. Regarding the technological progress (TC) index, the gap in the arid area has been widening, and the technology in the semihumid and semiarid areas is converging backward. (4) There are significant differences in the external factors affecting GWUE in different ecogeographical regions. This study can help the government consider ecogeographical factors when formulating water resource-related policies, and it provides a scientific reference for how to better utilize water resources in different regions of the YRB from both the internal and external perspectives.
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References
Adom PK, Yeo J, Zhang L (2021) Is water use sustainable and efficient in China? Evidence from a macro level analysis. Appl Econ 53:6166–6183. https://doi.org/10.1080/00036846.2021.1937496
Chen MH, Liu YX, Zhang XM, et al (2019) The development level and trend evolution of people’s livelihood in China’s urban agglomerations: an empirical survey based on urban DLI. China Soft Scie (01):45–61. https://doi.org/10.3969/j.issn.1002-9753.2019.01.005
Chen YP, Fu BJ, Zhao Y, Wang KB, Zhao MM, Ma JF, Wu JH, Chen X, Liu W-G, Wang H (2020) Sustainable development in the Yellow River Basin: issues and strategies. J Clean Prod 263:121223
Chen YP, Liu C (2022) Research on water resources utilization efficiency and its influencing factors in China—based on Shephard water resources distance function. World Reg Stud 31(3):591–301. https://doi.org/10.3969/j.issn.1004-9479
Choe JI (2003) Do foreign direct investment and gross domestic investment promote economic growth? Rev Dev Econ 7(1):44–57. https://doi.org/10.1111/1467-9361.00174
Deng QZ, Zhang L (2022) Spatial and temporal evolution characteristics and influencing factors of water resources green efficiency in the Yangtze River Economic Bel. Resour Sci 44(02):247–260. https://doi.org/10.18402/resci.2022.02.03
Fu XX, Wu LX (2007) The applicability of frontier analysis methods in China’s economic growth accounting. World Econ (07):56–66. https://kns.cnki.net/; https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2022&filename=SJJJ200707009&uniplatform=NZKPT&v=_KyOYE9MAvaARs53ADmJ7GHP9Sdrik8_27AhtL9rIaHx7wAlvulzKlsbxwQQP9an
Gai M, Wu HG, Qu BL (2016) Research on the utilization efficiency and spatial correlation pattern of water resources in Liaoning Province under the background of a new round of Northeast Revitalization. Resour Sci (7):1336–1349 https://doi.org/10.18402/resci.2016.07.14
Gao MF, Yu H, Zheng J (2020) Research on the efficiency and spatial driving factors of green water resources in the Yellow River Basin. Ecol Econ 36(07):44–50+209. 1671–4407(2020)07–044–07. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2020&filename=STJJ202007009&uniplatform=NZKPT&v=aDqr755EHjW2Wtx3Lz6GTM_MGuM0cNydVm5-ZaXGSQL9Pu68Vi4iwN2pP4V1LMtZ
Gray WB, Shadbegian RJ (2004) Optimal pollution abatement: whose benefits matter, and how much? J Environ Econ Manag 47(3):510–534. https://doi.org/10.1016/j.jeem.2003.01.001
Guang FT (2020) Electrical energy efficiency of China and its influencing factors. Environ Sci Pollut Res 27:32829–32841. https://doi.org/10.1007/s11356-020-09486-6
Guo Y, Wang H, Nijkamp P, Xu J (2015) Space-time indicators in interdependent urban environmental Systems: a study on the Huai River Basin in China. Habitat Int 45:135–146. https://doi.org/10.1016/j.habitatint.2014.06.030
Guo YM, Lin XQ, Wang D (2020) Spatial evolution and influencing factors of energy efficiency in Chinese cities based on twostage super efficiency SBM. Areal Res Dev 39(2):8–13. https://doi.org/10.3969/j.issn.1003-2363.2020.02.002
He YX, Su XW, Ren YF et al (2020) The timetime and spatial broad diblation special for urban water use efficiency. J Ecol 40(20):7464–7478. https://doi.org/10.5846/stxb201909252010
He N, Yuan SN, Wang J (2021) Evaluation of water resources water use efficiency in the Yellow River Basin based on DEA-Malmquist model. People’s Yellow River 43(05):7–11. https://doi.org/10.3969/j.issn.1000
Hu J, Wang S, Yeh F (2006) Total-factor water efficiency of regions in China. Resour Policy 31:217–230. https://doi.org/10.1016/j.resourpol.2007.02.001
Hu Z, Yan S, Yao L et al (2018) Efficiency evaluation with feedback for regional water use and waste water treatment. J Hydrol 562:703–711. https://doi.org/10.1016/j.jhydrol.2018.05.032
Hu ZQ, Miao CH, Xiong XL et al (2021) The impact of industrial agglomeration on the industrial resilience of the Yellow River Basin. Geogr Sci 41(5):824–831. https://doi.org/10.13249/j.cnki.sgs.2021.05.010
Huang C, Yin K, Liu Z et al (2021) Spatial and temporal differences in the green efficiency of water resources in the Yangtze River Economic Belt and their influencing factors. Int J Environ Res Public Health 18:3101. https://doi.org/10.3390/ijerph18063101
Kaneko S, Tanaka K, Toyota T (2000) Water efficiency of agricultural production in China: regional comparison from 1999 to 2002. Adv Virol 145:859–869. https://doi.org/10.1504/IJARGE.2004.006038
Kao HY, Wu DJ, Huang CH (2017) Evaluation of cloud service industry with dynamic and network DEA models. Appl Math Comput 315:188–202 https://dl.acm.org/doi/10.1016/j.amc.2017.07.059
Khushalani J, Ozcan YA (2017) Are hospitals producing quality care efficiently? An analysis using dynamic network data envelopment analysis (DEA). Socio Econ Plan Sci 60:15–23. https://doi.org/10.1016/j.seps.2017.01.009
Li J, Ma XC (2014) Industrial water use efficiency under the dual constraints of resources and environment: An empirical study based on SBM-undesirable and meta-frontier models. J Nat Resour 29(06):920–933. https://doi.org/10.11849/zrzyxb.2014.06.002
Li LB, Liu BL, Liu WL et al (2017) Efficiency evaluation of the regional high-tech industry in China: a new framework based on meta-frontier dynamic DEA analysis. Socio Econ Plan Sci 60:24–33. https://doi.org/10.1016/j.seps.2017.02.001
Li J, Xu JW (2018) The dynamic evolution and decomposition effect of industrial water efficiency in Henan Province—based on the perspective of LMDI model. Econ Geogr (11):183–190 https://doi.org/10.15957/j.cnki.jjdl.2018.11.021
Lin YF, Sun XF (2003) The comparative advantage strategy theory of economic development—a comment on “A review of China’s foreign trade strategy and trade policy”. Int Econ Rev (06):12–18. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2003&filename=GJPP200306002&uniplatform=NZKPT&v=viuk3oq7iIXr8pv-e-dZK1p2sEBOb5OIV5eYi23Dnt7ZEZbFqTILhNXwFR2WLmFV
Liu WZ, Chen XH (2021) Study on temporal and spatial differences and drive factors of temperature water efficiency in South China. J Irrig Drain 40(11):122–128. https://doi.org/10.13522/j.cnki.Ggps.2021071
Liu HY, Gong MQ (2018) Study on the distortion of factor market and two-way FDI’s carbon emission scale effect. China Population. Resour Environ 28(10):27–35. https://doi.org/10.12062/cpre.20180514
Liu Y, Liu M, Wang GG et al (2021) Effect of environmental regulation on high-quality economic development in China-an empirical analysis based on dynamic spatial Durbin model. Environ Sci Pollut Res 28(39):54661–54678. https://doi.org/10.1007/s11356-021-13780-2
Liu K, Qiao YR, Shi T et al (2021) Study on coupling coordination and spatiotemporal heterogeneity between economic development and ecological environment of cities along the Yellow River Basin. Environ Sci Pollut Res 28:6898–6912. https://doi.org/10.1007/s11356-020-11051-0
Lundgren T, Zhou W (2017) Firm performance and the role of environmental management. J Environ Manag 203:330–341. https://doi.org/10.1016/j.jenvman.2017.07.053
Ma M, Cui H, Wang W, Huang X, Tu X (2019) Projection of spatiotemporal patterns and possible changes of drought in the Yellow River Basin, China. Theor Appl Climatol 138(3–4):1971–1989. https://doi.org/10.1007/s00704-019-02914-9
Ma DL, Zhang FT, Gao L et al (2021) Spatiotemporal dynamics of green total-factor water-use efficiency and its influencing factors in China. Chin Geogra Sci 31(5):795–814. https://doi.org/10.1007/s11769-021-1227-3
Ma J, Yan BS (2016) Research on the relationship between economic development and water use efficiency based on environmental Kuznets theory: evidence from panel data of 31 provinces in my country from 2002 to 2013. Audit Econ Res 31(04):121–128. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2012&filename=ZRZY201205004&uniplatform=NZKPT&v=ES2dYZHMNLnT9OECDAZL_UtLer9Fam5_KEXcmhpqBhk6ysGL_kC4Xf4_BXXj60T0
Ma, HL, Huang DC, Zhang JG et al (2012) The provincial differences of China’s water use efficiency in recent years: technological progress or technical efficiency. Resour Sci 34(5):794–801. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2014&filename=ZRZY201402015&uniplatform=NZKPT&v=Ruv3NxuWrnnEM_FP1MLIX4_PPkPMbAmXLpgB7YXkqBvpBqDylViphKbKKTJOwZST
Ma HL, Xu J, Wang PC (2014) Research on water resources utilization in the process of urbanization in China. Resour Sci 36(2):334–341 1007–7588/j.chki.sgs.2014.02.311
Oh DH (2010) A Global Malmquist-Luenberger productivity index. J Product Anal 34(3):183–197. https://doi.org/10.1007/s11123-010-0178-y
Qian WZ, He CF (2011) Research on regional differences and influencing factors in China’s water resources utilization efficiency. China Popul Resour Environment 21(2):54–60. https://doi.org/10.3969/j.issn1002-2104∙2011∙02∙010
Qin T, Tong JP, Zhang HQ (2020) The construction and evolution factors of China’s inter-provincial water resources efficiency spatial correlation network under environmental constraints. China Popul Resour Environ 30(12):84–94. https://doi.org/10.12062/cpre.20200126
Ren BP, Lu CH (2019) The dynamic trend of China’s ecological environment quality and its spatial distribution pattern. Econ Manag Rev 35(3):120–134. https://doi.org/10.13962/j.cnki.37-1486/f.2019.03.010
Ren XY, Yang SL (2020) Technological innovation, industrial structure upgrading and high-quality economic development—based on the measurement analysis of independent effects and synergistic effects. East China Econ Manag 34(11):72–80. https://doi.org/10.19629/j.cnki.34-1014/f.200317004
Ren YF, Su XW, He YX et al (2020) Urban water resource utilization efficiency and its influencing factors in eco-geographic regions of China. Acta Ecologica Sinica 40(18):6459–6471. https://doi.org/10.5846/stxb201911272579
Romer P (1990) Endogenous technological change. J Polit Econ 98(5):71–102. https://doi.org/10.2307/2937632
Rosenthal SS, Strange WC (2003) Geography, industrial organization,and agglomeration. Rev Econ Stat 85(2): 377–393 jstor.org/stable/32115
Ruan YJ, Wu XQ (2022) Sustainability evaluation of groundwater resources in northwest arid region based on GRACE and GLDAS. Arid Reg Res 39(03):787–800. https://doi.org/10.13866/j.azr.2022.03.12
Song M, Wang R, Zeng X (2018) Water resources utilization efficiency and influence factors under environmental restrictions. J Clean Prod 184:611–621. https://doi.org/10.1016/j.jclepro.2018.02.259
Sun SA, Tang QH (2020) Spatiotemporal evolution characteristics and driving factors of water resources utilization in the Yellow River Basin. Resour Sci 42(12):2261–2273. https://doi.org/10.18402/resci.2020.12.01
Sun DY, Yan JW, Liu LY et al (2018) Study on efficiency efficiency evaluation and temporal differences in urban group in Yangtze River Delta. J Yangtze River Basin Resour Environ 27(09):1901–1908. https://doi.org/10.11870/cjlyzyyhj201809001
Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130(3):498–509. https://doi.org/10.1016/S0377-2217(99)00407-5
Wang WJ, Zhao XY, Zhang MJ et al (2019) The public’s perception of water resources and their intention to save water in the inland river basins of the arid zone of Northwest China. China Popul Resour Environ 29(11):148–157. https://doi.org/10.12062/cpre.2019051210
Wang KL, Wang JU, Wang JM et al (2020) Investigating the spatio-temporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China. Plos one 8:1–24. https://doi.org/10.1371/journal.pone.0230963
Wang HL, Huang SQ, Di DY et al (2021) Study on the spatial distribution of water resource value in the agricultural system of the Yellow River Basin. Water Policy 23(4):1044. https://doi.org/10.2166/wp.2021.176
Wang KL, Liu Y, Shi LJ, et al (2017) Time and space differentiation and influencing factors of industrial green water resources efficiency in the Yangtze River Economic Zone: a two-stage analysis based on the EBM-Tobit model. Resour Sci (8):1522–1534 https://doi.org/10.18402/resci.2017.08.09
Worthington AC (2014) A review of frontier approaches to efficiency and productivity measurement in urban water utilities. Urban Water J 11:55–73. https://doi.org/10.1080/1573062X.2013.765488
Xu H, Shi N, Wu LL, Zhang DW (2020) High-quality development level and its spatiotemporal changes in the Yellow River Basin. Resour Sci 42(01):115–126. https://doi.org/10.18402/resci.2020.01.12
Yan GQ, He YC, Zhang XC (2019) Green technological progress, agricultural economic growth and pollution spillovers: Evidence from the use of agricultural water resources in China. Resour Environ Yangtze River Basin 28(12):2921–2932. https://doi.org/10.11870/cjlyzyyhj201912013
Yang QK, Duan XJ, Wang L et al (2020) Research on the effect and influence mechanism of urban space water environment in developed areas: taking Ningbo City, Zhejiang Province as an example. Geogr Sci 40(5):776–785. https://doi.org/10.13249/j.cnki.sgs.2020.05.012
Ye Q, Zeng G, Dai SY et al (2018) The impact of different environmental regulatory tools on technological innovation in energy conservation and emission reduction in China—based on panel data from 285 prefecture-level cities. China’s Population Resour Environ 28(2):115–122. https://doi.org/10.12062/cpre.20170915
Yin MX, Zhao XG (2018) Evaluation of water resources in Inner Mongolia from 1990 to 2016 based on water footprint theory. Arid Land Resour Environ 32(6):120–125. https://doi.org/10.13448/j.cnki.jalre.2018.182
Yue L (2022) Lei Y Y (2022) Construction of Green Water Resource Efficiency Spatial Relation Network in Yellow River Basin. Northwestern Normal University Report (Social Science Edition) 02:1–13. https://doi.org/10.16783/j.cnki.nwnus.2022.02.007
Yue L, Ren WY, Yao XQ (2021) Temporal and spatial changes and its influencing factors in Yellow River Basin-based on river ecological hydrological partition. Ind Technol Econ 40(10):15–22. https://doi.org/10.3969/j.issn.1004-910X.2021.10.002
Zhang CJ, Xu JR, Lina Zhang et al (2018) Study on temporal and temporal differential driving effect of Yangtze River Belt water resources. Resour Sci 40(11):2247–2259. https://doi.org/10.18402/resci.2018.11.11
Zhang J, Qu YX, Zhang Y et al (2019a) Effects of FDI on the efficiency of government expenditure on environmental protection under fiscal decentralization:a spatial econometric analysis for China. Int J Environ Res Public Health 16(14):2496–2515. https://doi.org/10.3390/ijerph16142496
Zhang NN, Su XL, Zhou YZ et al (2019b) Evaluation of water resources carrying capacity of the Yellow River Basin. J Nat Resour 34(8):1759–1770. https://doi.org/10.31497/zrzyxb.20190815
Zhang WX, Zou JL, Wu Q (2020a) The impact of input of production factors on urban land use efficiency: based on provincial data at different stages of industrialization. Resour Sci 42(7):1416–1427. https://doi.org/10.18402/resci.2020.07.17
Zhang Y, Geng W, Zhang P et al (2020b) Dynamic changes, spatiotemporal differences and factors Influencing the urban eco-efficiency in the lower reaches of the Yellow River. Int J Environ Public Health 17:7510. https://doi.org/10.3390/ijerph17207510
Zhang Y L (2003) Knowledge Innovation and Economies of Scale. Quant Econ Tech Econ Res (3):60–64 https://doi.org/10.13653/j.cnki.jqte.2003.03.011
Zhao Z, Yuan T, Shi X et al (2020) Heterogeneity in the relationship between carbon emission performance and urbanization: Evidence from China. Mitig Adapt Strat Global Chang 25:1363–1380. https://doi.org/10.1007/s11027-020-09924-3
Zhou X, Luo R, Yao L et al (2018) Assessing integrated water use and waste water treatment systems in China: a mixed network structure two-stage SBM-DEA Model. J Clean Prod 185:533–546. https://doi.org/10.1016/j.jclepro.2018.02.278
Zhu XM, Wei JH, Yang HJ et al (2022) Evaluation of water resources utilization efficiency and driving factor analysis of urban agglomeration in the Yellow River Basin. Water Resour Protect 38(01):153–159. https://doi.org/10.3880/j.issn.10046933.2022.01.020
Zou DL, Cong HB (2021) Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect. Alex Eng J 60(01):173–182. https://doi.org/10.1016/j.aej.2020.06.053
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This research was funded by the 2021 National Social Science Fund General Project “Research on the Optimization of the Spatial Layout of Manufacturing Industries in the Yellow River Basin from the Perspective of Ecological Zoning” (21BJY163).
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Li Yue, Yuxuan Cao, and Rongfang Lvu. The first draft of the manuscript was written by Yuxuan Cao and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Yue, L., Cao, Y. & Lyu, R. Influencing factors and improvement paths of green water use efficiency in the Yellow River Basin: a new perspective based on ecogeographical divisions. Environ Sci Pollut Res 30, 14604–14618 (2023). https://doi.org/10.1007/s11356-022-22981-2
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DOI: https://doi.org/10.1007/s11356-022-22981-2