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Measurement of Resource Environmental Performance of Crop Planting Water Consumption Based on Water Footprint and Data Enveloped Analysis

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Abstract

Pollutants and water consumption in agriculture are essential factors in terms of water environment resource conservation. Calculating the water resource use efficiency of crops is crucial to reduce water consumption and pollution to alleviate the conflict between water use and food. Herein, we presented an integrated research framework that coupled the water footprint with data envelope analysis (DEA) to calculate the water resource use efficiency. Based on the calculation of the water footprint of three crop species (rice, corn, and soybean) in nine cities of Jilin Province from 2009 to 2016, we measured the resource use efficiency of crop water consumption through a superefficient slack-based measure. The driving force of variation in the resource use efficiency was determined by using the Malmquist–Luenberger index at a spatiotemporal scale and breaking down the driving force into an efficiency change and a technical change based on the evaluation results. Siping ranked first in the resource use efficiency of crop water consumption, whereas Yanbian ranked ninth. The technical change value based on the Malmquist–Luenberger index was less than 1, suggesting that it is essential that resource use efficiency in Jilin Province be improved. Moreover, the resource use efficiency in eastern cities with abundant water resources, such as Baishan and Yanbian, needs to be improved. The proposed water footprint can be coupled with the data envelopment analysis framework to provide a more reasonable evaluation that can be used by managers and regulators.

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References

  • Azad MAS, Ancev T, Hernández-Sancho F (2014) Efficient water use for sustainable irrigation industry. Water Resour Manage 29:1683–1696

    Article  Google Scholar 

  • Bian Y, Yan S, Xu H (2014) Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: a DEA approach. Resour Conserv Recycl 83:15–23

    Article  Google Scholar 

  • Cao X, Shu R, Ren J, Wu M, Huang X, Guo X (2020a) Variation and driving mechanism analysis of water footprint efficiency in crop cultivation in China. Sci Total Environ 725:138537

  • Cao Y, Zhang W, Ren J (2020b) Efficiency analysis of the input for water-saving agriculture in China. Water 12

  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision-making units. Eur J Oper Res 2:429–444

    Article  Google Scholar 

  • Chen YZ, Lu HW, Li J, Yan PD, Peng H (2021) Multi-level decision-making for inter-regional water resources management with water footprint analysis and shared socioeconomic pathways. Water Resour Manage 35:481–503

    Article  Google Scholar 

  • Dekamin M, Barmaki M, Kanooni A (2018) Selecting the best environmental friendly oilseed crop by using Life Cycle Assessment, water footprint and analytic hierarchy process methods. J Clean Prod 198:1239–1250

    Article  Google Scholar 

  • De Witte K, Marques RC (2009) Designing performance incentives, an international benchmark study in the water sector. CEJOR 18:189–220

    Article  Google Scholar 

  • Ding DY, Zhao Y, Guo H, Li XY, Schoenau J, Si BC (2018) Water footprint for pulse, cereal, and oilseed crops in Saskatchewan, Canada. Water 10(11). https://doi.org/10.3390/w10111609

  • Ding T, Wu H, Jia J, Wei Y, Liang L (2020) Regional assessment of water-energy nexus in China’s industrial sector: an interactive meta-frontier DEA approach. J Clean Prod 244

  • Färe R, Grosskopf S, Pasurka CA (2001) Accounting for air pollution emissions in measures of state manufacturing productivity growth. J Reg Sci 41:381–409

    Article  Google Scholar 

  • FAO (2013) FAO Statistical Yearbook 2013 (pp 289). Retrieved from. Food and Agriculture Organization of the United Nations, Rome. http://www.fao.org/docrep/018/i3107e/i3107e00.htm

  • Farrell MJ (1957) The measurement of productive efficiency. J Royal Stat Soc: Series A 120:253–290

    Article  Google Scholar 

  • Gidion DK, Hong J, Adams MZA, Khoveyni M (2019) Network DEA models for assessing urban water utility efficiency. Utilities Pol 57:48–58

    Article  Google Scholar 

  • Huang J, Gao Y, Li S (2011) Temporal variation of virtual water of selected agricultural products in Northeastern China. Acta Scientiarum Naturalium Universitatis Pekinensis 47:505–512. (Press in Chinese)

  • Jaramillo F, Destouni G (2015) Local flow regulation and irrigation raise global human water consumption and footprint. Science 350:1248–1251

    Article  Google Scholar 

  • Kourgialas NN, Anyfanti I, Karatzas GP, Dokou Z (2018) An integrated method for assessing drought prone areas - Water efficiency practices for a climate resilient Mediterranean agriculture. Sci Total Environ 625:1290–1300

    Article  Google Scholar 

  • Kumar S (2006) Environmentally sensitive productivity growth: a global analysis using Malmquist-Luenberger index. Ecol Econ 56:280–293

    Article  Google Scholar 

  • Li D, Nanseki T, Chomei Y, Yokota S (2018) Production efficiency and effect of water management on rice yield in Japan: Two-stage DEA model on 110 paddy fields of a large-scale farm. Paddy Water Environ 16:643–654

    Article  Google Scholar 

  • Li H, Fang KN, Yang W, Wang D, Hong XX (2013) Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs. Math Comput Model 58:1018–1031

    Article  Google Scholar 

  • Lombardi GV, Stefani G, Paci A, Becagli C, Miliacca M, Gastaldi M, Giannetti BF, Almeida C (2019) The sustainability of the Italian water sector: an empirical analysis by DEA. J Clean Prod 227:1035–1043

    Article  Google Scholar 

  • Mu L, Fang L, Wang H, Chen L, Yang Y, Qu XJ, Wang CY, Yuan Y, Wang SB, Wang YN (2016) Exploring Northwest China’s agricultural water-saving strategy: analysis of water use efficiency based on an SE-DEA model conducted in Xi’an, Shaanxi Province. Water Sci Technol 74:1106–1115

    Article  Google Scholar 

  • Novoa V, Ahumada-Rudolph R, Rojas O, Munizag J, Saez K, Arumi JL (2019) Sustainability assessment of the agricultural water footprint in the Cachapoal River basin, Chile. Ecol Ind 98:19–28

    Article  Google Scholar 

  • Oh D-H (2010) A global Malmquist-Luenberger productivity index. J Prod Anal 34:183–197

    Article  Google Scholar 

  • Parihar CM, Nayak HS, Rai VK, Jat SL, Parihar N, Aggarwal P, Mishra AK (2019) Soil water dynamics, water productivity and radiation use efficiency of maize under multi-year conservation agriculture during contrasting rainfall events. Field Crops Res 241

  • Ren C, Li R, Guo P (2016) Two-stage DEA analysis of water resource use efficiency. Sustainability-Basel 9

  • Sidhu HS, Jat ML, Singh Y, Sidhu RK, Gupta N, Singh P, Singh P, Jat HS, Gerard B (2019) Sub-surface drip fertigation with conservation agriculture in a rice-wheat system: a breakthrough for addressing water and nitrogen use efficiency. Agric Water Manag 216:273–283

    Article  Google Scholar 

  • Song JF, Chen XN (2019) Eco-efficiency of grain production in China based on water footprints: a stochastic frontier approach. J Clean Prod 236

  • Tian H, Lu C, Pan S, Yang J, Miao R, Ren W, Yu Q, Fu B, Jin F-F, Lu Y, Melillo J, Ouyang Z, Palm C, Reilly J (2018) Optimizing resource use efficiencies in the food–energy–water nexus for sustainable agriculture: from conceptual model to decision support system. Curr Opin Environ Sustain 33:104–113

    Article  Google Scholar 

  • Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130:498–509

    Article  Google Scholar 

  • Velasco-Muñoz JF, Aznar-Sánchez JA, Belmonte-Ureña LJ, López-Serrano MJ (2018) Advances in water use efficiency in agriculture: a bibliometric analysis. Water 10

  • Wang H (2019) Irrigation efficiency and water withdrawal in US agriculture. Water Pol 21:768–786

    Article  Google Scholar 

  • Wang M, Sun C, Wang X (2019) Analysis of the water-energy coupling efficiency in China: Based on the three-stage SBM-DEA model with undesirable outputs. Water 11

  • Willaarts BA, Lechón Y, Mayor B, de la Rúa C, Garrido A (2020) Cross-sectoral implications of the implementation of irrigation water use efficiency policies in Spain: a nexus footprint approach. Ecol Indicators 109

  • Xie J, Yu J, Chen B, Feng Z, Lyu J, Hu L, Gan Y, Siddique KHM (2018) Gobi agriculture: an innovative farming system that increases energy and water use efficiencies. A review. Agron Sustain Dev 38

  • Zhang J, Chen Y, Li Z, Song J, Fang G, Li Y, Zhang Q (2019) Study on the utilization efficiency of land and water resources in the Aral Sea Basin, Central Asia. Sustain Cities Soc 51

  • Zhao Y, Ding DY, Si BC, Zhang ZH, Hu W, Schoenau J (2019) Temporal variability of water footprint for cereal production and its controls in Saskatchewan, Canada. Sci Total Environ 660:1306–1316

    Article  Google Scholar 

  • Zhou Z, Xu G, Wang C, Wu J (2019) Modeling undesirable output with a DEA approach based on an exponential transformation: an application to measure the energy efficiency of Chinese industry. J Clean Prod 236

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Funding

This work was financially supported by the Science Foundation of Jilin Province (no. 20180520101JH) and the 111 Project (B16020).

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Authors and Affiliations

  1. Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, 130021, Changchun, PR China

    Shuo Wang & Haiyan Duan

  2. School of New Energy and Environment, Jilin University, 130021, Changchun, PR China

    Shuo Wang, Naixu Tian, Yuqi Dai & Haiyan Duan

  3. School of Environment, Northeast Normal University, 130000, Changchun, PR China

    Naixu Tian

  4. School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing, 100875, PR China

    Yuqi Dai

  5. Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, 130021, Changchun, PR China

    Shuo Wang & Haiyan Duan

Authors
  1. Shuo Wang
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  2. Naixu Tian
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  3. Yuqi Dai
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  4. Haiyan Duan
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Contributions

Shuo WANG: Conceptualization, Methodology, Writing—Original Draft, Project administration. Naixu TIAN: Software, Formal analysis, Investigation. Yuqi DAI: Resources, Data Curation. Haiyan DUAN: Visualization.

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Correspondence to Shuo Wang.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Wang, S., Tian, N., Dai, Y. et al. Measurement of Resource Environmental Performance of Crop Planting Water Consumption Based on Water Footprint and Data Enveloped Analysis. Water Resour Manage 36, 641–658 (2022). https://doi.org/10.1007/s11269-021-03045-5

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  • DOI: https://doi.org/10.1007/s11269-021-03045-5

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