Predicting water allocations and trading prices to assist water markets

Irrigation and Drainage

Volumn 59, Issue 4, 2010, Pages 388-403

  Khan, Shahbaz ^a,b   Dassanayake, Dharma ^b   Mushtaq, Shahbaz ^c   Hanjra, Munir A ^b,d  

^a UNESCO Division of Water Sciences   (France)

^b CSIRO   (Australia)

^c UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^d CHARLES STURT UNIVERSITY   (Australia)

Author keywords

Allocation; Artificial neural networks; Economic forecast; Irrigation; Quarterly water prices; Temporary water trade; Water allocation; Water markets

Indexed keywords

EID: 78650457800     PISSN: 15310353     EISSN: 15310361     Source Type: Journal    
DOI: 10.1002/ird.535     Document Type: Article

References (62)

1. Achim D, Ghotb F, Mcmanus KJ. 2007. Prediction of water pipe asset life using neural networks. Journal of Infrastructure Systems 13(1): 26-30.
2. Anselin L. 2002. Under the hood: issues in the specification and interpretation of spatial regression models. Agricultural Economics 27(3): 247-267.
3. Aqil M, Kita I, Yano A, Nishiyama S. 2007. Neural networks for real time catchment flow modeling and prediction. Water Resources Management 21(10): 1781-1796.
4. Arciniegas Rueda IE, Marathe A. 2005. Important variables in explaining real-time peak price in the independent power market of Ontario. Utilities Policy 13(1): 27-39.
5. Australian Bureau of Agricultural and Resource Economics. 2007. Monthly price level data. Last accessed on June 2007.
6. Babcock BA, Shogren JF. 1995. The cost of agricultural production risk. Agricultural Economics 12(2): 141-150.
7. Becker N. 1995. Value of moving from central planning to a market system: lessons from the Israeli water sector. Agricultural Economics 12(1): 11-21.
8. Becker N. 1999. A comparative analysis of water price support versus drought compensation scheme. Agricultural Economics 21(1): 81-92.
9. Bjornlund H. 2006. Can water markets assist irrigators managing increased supply risk? Some Australian experiences. Water International 31(2): 221-232.
10. Bjornlund H, McKay J. 2002. Aspects of water markets for developing countries: experiences from Australia, Chile, and the US. Environment and Development Economics 7(4): 769-795.
11. Bjornlund H, Rossini P. 2005. Fundamentals determining prices and activities in the market for water allocations. International Journal of Water Resources Development 21(2): 355-369.
12. Boussabaine AH, Thomas R, Elhag TMS. 1999. Modelling cost-flow forecasting for water pipeline projects using neural networks. Engineering Construction and Architectural Management 6(3): 213-224.
13. Brill E, Hochman E, Zilberman D. 1997. Allocation and pricing at the water district level. American Journal of Agricultural Economics 79(3): 952-963.
14. Cancelliere A, Giuliano G, Ancarani A, Rossi G. 2002. A neural networks approcah for deriving irrigation reservior operating rules. Water Resources Management 16(1): 71-88.
15. Chiang WC, Urban T, Baldridge G. 1996. A neural network approach to mutual fund net asset value forecasting. Omega 24(2): 205-215.
16. Dwyer G, Douglas R, Peterson D, Chong J, Maddern K. 2006. Irrigation externalities: pricing and charges. Productivity Commission Staff Working Paper, Melbourne, Australia.
17. Elgaali E, Garcia LA. 2007. Using neural networks to model the impacts of climate change on water supplies. Journal of Water Resources Planning and Management 133(3): 230-243.
18. Etchells T, Malano HM, Mcmahon TA. 2006. Overcoming third party effects from water trading in the Murray-Darling Basin. Water Policy 8(1): 69-80.
19. Fleissig AR, Kastens T, Terrell D. 2000. Evaluating the semi-nonparametric Fourier, aim, and neural networks cost functions. Economics Letters 68(3): 235-244.
20. García-González J, Parrilla E, Mateo A. 2007. Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market. European Journal of Operational Research 181(3): 1354-1369.
21. Gardner BL. 2005. Causes of rural economic development. Agricultural Economics 32(s1): 21-41.
22. Gareta R, Romeo LM, Gil A. 2006. Forecasting of electricity prices with neural networks. Energy Conversion and Management 47(13-14): 1770-1778.
23. Gómez-Limón JA, Riesgo L 2004. Irrigation water pricing: differential impacts on irrigated farms. Agricultural Economics 31: 47-66.
24. Hamm L, Brorsen BW. 1997. Forecasting hog prices with a neural network. Journal of Agribusiness 15(1): 37-54.
25. Haofei Z, Guoping X, Fangting Y, Han Y. 2007. A neural network model based on the multi-stage optimization approach for short-term food price forecasting in China. Expert Systems with Applications 33(2): 347-356.
26. Heaney A, Dwyer G, Beare S, Peterson D, Pechey L. 2006. Third-party effects of water trading and potential policy responses. The Australian Journal of Agricultural and Resource Economics 50(3): 277-293.
27. Hearne RR, Easter WK. 1997. The economic and financial gains from water markets in Chile. Agricultural Economics 15(3): 187-199.
28. Howe CW, Schurmeier DR, Shaw WDJ. 1986. Innovative approaches to water allocation: the potential for water markets. Water Resources Research 22(4): 439-445.
29. Hussain I, Hanjra MA. 2004. Irrigation and poverty alleviation: review of the empirical evidence. Irrigation and Drainage 53(1): 1-15.
30. Hussain I, Mudasser M, Hanjra MA, Amrasinghe U, Molden D. 2004. Improving wheat productivity in Pakistan: econometric analysis using panel data from Chaj in the upper Indus Basin. Water International 29(2): 189-200.
31. Iglesias E, Garrido A, Gomez-Ramos A. 2003. Evaluation of drought management in irrigated areas. Agricultural Economics 29: 211-229.
32. Isik M, Coble KH, Hudson D, House LO. 2003. A model of entry-exit decisions and capacity choice under demand uncertainty. Agricultural Economics 28(3): 215-224.
33. Kaastra I, Boyd M. 1996. Designing a neural network for forecasting financial and economic time series. Neurocomputing 10(3): 215-236.
34. Kastens T, Featherstone A, Biere W. 1995. A neural network premier for agricultural economists. Agricultural Finance Review 55: 54-73.
35. Khan S, Dassanayake D, Abbas A. 2004. Ocean based water allocation forecasts using an artifical intelligence approcah., ModSim Conference, Melbourne, Australia; 1667-1673.
36. Khan S, Triaq R, Yuanlai C, Blackwell J. 2006. Can irrigation be sustainable? Agricultural Water Management 80(1-3): 87-99.
37. Khan S, Rana T, Hanjra MA. 2008. A cross disciplinary framework for linking farms with regional groundwater and salinity management targets. Agricultural Water Management 95: 35-47.
38. Khanna M, Isik M, Winter-Nelson A. 2000. Investment in site-specific crop management under uncertainty: implications for nitrogen pollution control and environmental policy. Agricultural Economics 24: 9-21.
39. Kiani KM. 2005. Detecting business cycle asymmetries using artificial neural networks and time series models. Computational Economics 26(1): 65-89.
40. Kohzadi N, Boyd MS, Kermanshahi B, Kaastra I. 1996. A comparison of artificial neural network and time series models for forecasting commodity prices. Neurocomputing 10(2): 169-181.
41. Long BA, McMahon TB. 1996. Review of research and development opportunities for using seasonal climate forecasts in the Australian water industry. Occasional Paper CV02/96. Land and Water Resources Research and Development Corporation Canberra; Australia.
42. McKee TB, Doesken NJ, Kleist J. 1993. The relation of drought frequency and duration to time scales. Proceedings of the Eighth Conference on Applied Climatology; American Meteorological Society, Boston, USA; pp. 179-84.
43. Murray Irrigation Limited (MIL). 2006. Murray Irrigation sustainability report. Murray Irrigation Limited, Australia.
44. Murray Irrigation Limited (MIL). 2007. Murray Irrigation Limited Water Trading Data., last accessed on June 2007.
45. Nowlan SJ, Hinton GE 1992. Simplifying neural networks by soft weight sharing. In Advances in Neural Information Processing Systems (Vol 4) Moody J, Hanson S, Lippmann R (eds). Morgan Kaufamann: San Mateo, CA.
46. Peterson D, Dwyer G, Appels DC, Fry J. 2005. Water trade in the southern Murray-Darling Basin. The Economic Record 81(S1): S115-S127.
47. Pulido-Calvo I, Portela MM. 2007. Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds. Journal of Hydrology 332(1-2): 1-15.
48. Quiggin J. 2006. Repurchase of renewal rights: a policy option for the National Water Initiative. The Australian Journal of Agricultural and Resource Economics 50(3): 425-435.
49. Scheierling SM, Loomis JB, Young RA. 2006. Irrigation water demand: a meta-analysis of price elasticities. Water Resources Research 42(1).
50. Shahwan T, Odening M. 2007. Forecasting agricultural commodity prices using hybrid neural networks. In Computational Intelligence in Economics and Finance. Springer: Berlin, Heidelberg; 63-74.
51. Simmons PR. 2002. Why do farmers have so little interest in futures markets? Agricultural Economics 27(1): 1-6.
52. Smith RBW, Roumasset J. 2000. Constrained conjunctive-use of engogenously separabale water markets: managing the Wiahole-Waikane aqueduct. Agricultural Economics 24(61-71).
53. Tsang PM, Kwok P, Choy SO, Kwan R, Ng SC, Mak J, Tsang J, Koong K, Wong TL. 2007. Design and implementation of NN5 for Hong Kong stock price forecasting. Engineering Applications of Artificial Intelligence 20(4): 453-461.
54. Ward FA. 2007. Decision support for water policy: a review of economic concepts and tools. Water Policy 9(1): 1-31.
55. Water Exchange, 2007. Water Trading Data. Last accessed on June 2007.
56. Watermove, 2007. Water Trading Data. Last accessed on June 2007.
57. Wen W. 2007. A knowledge-based intelligent electronic commerce system for selling agricultural products. Computers and Electronics in Agriculture 57(1): 33-46.
58. Wilson ID, Paris SD, Ware JA, Jenkins DH. 2002. Residential property price time series forecasting with neural networks. Knowledge-Based Systems 15(5-6): 335-341.
59. Wong BK, Bodnovich TA, Selvi Y. 1997. Neural network applications in business: a review and analysis of the literature (1988-95). Decision Support Systems 19(4): 301-320.
60. Wong BK, Selvi Y. 1998. Neural network applications in finance: a review and analysis of literature (1990-1996). Information & Management 34(3): 129-139.
61. Young RA. 2005. Determining the Economic Value of Water: Concepts and Methods. Resources for the Future Press: USA.
62. Zilberman D, Khanna M, Lipper L. 1997. Economics of new technologies for sustainable agriculture. The Australian Journal of Agricultural and Resource Economics 41(1): 63-80.