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Efficient Water Use for Sustainable Irrigation Industry

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Abstract

The aim of this paper is to evaluate the economic efficiency of irrigated agricultural enterprises using a non-radial data envelopment analysis approach. While a number of studies have used radial measures based on data envelopment analysis to obtain efficiency scores for a given production technology, we calculate non-radial measures to understand the efficiency of using individual inputs employed in the production process. In particular, the measures of economic efficiency are decomposed into water use efficiency and managerial efficiency. This decomposition enables us to obtain an efficiency score for the use of water as an environmentally sensitive input in irrigated crop production systems. Treating water input in this way goes beyond traditional measurement of water use efficiency, as the calculated efficiency scores can be used as indicators of sustainability in terms of water withdrawals for irrigation purposes. The results show that the overall efficiency for the considered irrigated enterprises is quite high. This is in contrast to the findings on the water use efficiency scores, which are fairly low. This indicates that while Australian irrigated farms are comparatively more efficient in overall farm activity management, they are not very efficient in managing water resources. In turn, this threatens the sustainability of this industry. There is a substantial variation of water use efficiency scores across irrigated enterprises and across regions. Analysing these variations can provide important insights for current policy and for future efforts to improve water use efficiency that will lead towards more sustainable irrigation industry.

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Notes

  1. A detailed discussion on radial and non-radial efficiency measures is in the methods and data section.

  2. In case of linear programming problems with more than two variables, each constraint (a linear inequality) needs to be converted into a linear equation. This process is conducted by adding a nonnegative variable, which is called a slack variable to each constraint.

  3. Kruskal-Wallis is a non-parametric test for which any specific form for the distribution of the population is not required. It is used to compare between the medians of two or more samples to determine if the samples have come from different populations.

References

  • Ali MK, Klein KK (2014) Water use efficiency and productivity of the irrigation districts in Southern Alberta. Water Resour Manag 28:2751–2766

    Article  Google Scholar 

  • Azad MAS (2012) Economic and environmental efficiency of irrigated agriculture in the Murray-Darling Basin. Doctor of Philosophy (Ph.D) thesis. Faculty of Agriculture and Environment, the University of Sydney, New South Wales

    Google Scholar 

  • Azad MAS, Ancev T (2010) Using ecological indices to measure economic and environmental performance of irrigated agriculture. Ecol Econ 69:1731–1739

    Article  Google Scholar 

  • Azad MAS, Ancev T (2014) Measuring environmental efficiency of agricultural water use: a Luenberger environmental indicator. J Environ Manag 145:314–320

    Article  Google Scholar 

  • Borger BD, Kerstens K (1996) Radial and nonradial measures of technical efficiency: an empirical illustration for Belgian local governments using an FDH reference technology. J Prod Anal 7:4–62

    Article  Google Scholar 

  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision-making units. Eur J Oper Res 2(6):429–444

    Article  Google Scholar 

  • Chiu Y, Huang C, Ting C (2012) A non-radial measure of different systems for Taiwanese tourist hotel’s efficiency assessment. CEJOR 20:45–63

    Article  Google Scholar 

  • Cooper WW, Huangb Z, Lib SX, Parkerc BR, Pastor JT (2007) Efficiency aggregation with enhanced Russell measures in data envelopment analysis. Socio Econ Plan Sci 4:1–21

    Article  Google Scholar 

  • Debreu G (1951) The coefficiency of resource utilization. Econometrica 19(3):273–292

    Article  Google Scholar 

  • El-Wahed MHA, Ali EA (2013) Effect of irrigation systems, amounts of irrigation water and mulching on corn yield, water use efficiency and net profit. Agric Water Manag 120:64–71

    Article  Google Scholar 

  • Emrouznejad A, Parker BR, Tavares G (2008) Evaluation of research in efficiency and productivity: a survey and analysis of the first 30 years of scholarly literature in DEA. Socio Econ Plan Sci 42:151–157

    Article  Google Scholar 

  • Färe R (1975) Efficiency and the production function. Z National 35:317–324

    Google Scholar 

  • Färe R, Lovell CAK (1978) Measuring the technical efficiency of production. J Econ Theory 19:150–162

    Article  Google Scholar 

  • Färe R, Grosskopf S, Lovell CAK (1985) The measurement of efficiency of production. Kluwer-Nijhoff, Boston

    Book  Google Scholar 

  • Färe R, Grosskopf S, Tyteca D (1996) An activity analysis model of the environmental performance of firms-application to fossil-fuel-fired electric utilities. Ecol Econ 18(2):161–175

    Article  Google Scholar 

  • Farrell MJ (1957) The measurement of productive efficiency. J R Stat Soc A 120:253–281

    Article  Google Scholar 

  • Ferrier GD, Kerstens K, Eeckaut PV (1994) Radial and noradial technical efficiency measures on a DEA reference technology: a comparison using US banking data. Core discussion paper 9423, Centre for Operations Research & Econometrics, Universite Catholique De Louvain.

  • Fukuyama H, Weber WL (2009) A directional slacks-based measure of technical efficiency. Socio Econ Plan Sci 43:274–287

    Article  Google Scholar 

  • Grafton RQ, Kowalick I, Miller C, Stubbs T, Verity F, Walker K (2010) Sustainable diversions in the Murray-Darling Basin: an analysis of the options for achieving a sustainable diversion limit in the Murray-Darling Basin. Wentworth Group of Concerned Scientist, New South Wales

    Google Scholar 

  • Hernández-Sancho F, Molinos-Senante M, Sala-Garrido R (2011) Energy efficiency in Spanish wastewater treatment plants: a non-radial DEA approach. Sci Total Environ 409:2693–2699

    Article  Google Scholar 

  • Menga FY, Fanb LW, Zhoua P, Zhoua DQ (2012) Measuring environmental performance in China’s industrial sectors with non-radial DEA. Math Comput Model 58(5–6):1047–1056

    Google Scholar 

  • Pastor JT, Ruiz JL, Sirvent I (1999) An enhanced DEA Russell graph efficiency measure. J Oper Res Soc 115:596–607

    Article  Google Scholar 

  • Qureshi ME, Grafton RQ, Kirby M, Hanjra MA (2011) Understanding irrigation water use efficiency at different scales for better policy reform: a case study of the Murray–Darling Basin, Australia. Water Policy 13(1):1–17

    Article  Google Scholar 

  • Russell RR (1985) Measures of technical efficiency. J Econ Theory 35(1):109–126

    Article  Google Scholar 

  • Sueyoshi T, Goto M (2012) Returns to scale and damages to scale on U.S. fossil fuel power plants: radial and non-radial approaches for DEA environmental assessment. Energy Econ 34:2240–2259

    Article  Google Scholar 

  • Sun S, Lu WM (2005) Evaluating the performance of the Taiwanese hotel industry using a weight slacks-based measure. Asia Pac J Oper Res 22:487–512

    Article  Google Scholar 

  • Veettil PC, Speelman S, Huylenbroeck GV (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 Resour Manag 27:55–73

    Article  Google Scholar 

  • Wang H, Zhang L, Dawes WR, Liu C (2001) Improving water use efficiency of irrigated crops in the north China plain–measurements and modelling. Agric Water Manag 48:151–167

    Article  Google Scholar 

  • Yang C, Lu WM (2006) Performance benchmarking for Taiwan’s international tourist hotels. INFOR 44:229–245

    Google Scholar 

  • Zhou P, Poh KL, Ang BW (2007) A non-radial DEA approach to measuring environmental performance. Eur J Oper Res 178:1–9

    Article  Google Scholar 

  • Zhou P, Ang BW, Poh KL (2008) A survey of data envelopment analysis in energy and environmental studies. Eur J Oper Res 189:1–18

    Article  Google Scholar 

  • Zieschang K (1984) An extended Farrell efficiency measure? J Econ Theory 33:387–396

    Article  Google Scholar 

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Correspondence to Md A. S. Azad.

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Azad, M.A.S., Ancev, T. & Hernández-Sancho, F. Efficient Water Use for Sustainable Irrigation Industry. Water Resour Manage 29, 1683–1696 (2015). https://doi.org/10.1007/s11269-014-0904-8

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  • DOI: https://doi.org/10.1007/s11269-014-0904-8

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