Your search found 777 records
(Location: IWMI-HQ Call no: 631.7 G732 PHI Record No: H080)
(Location: IWMI-HQ Call no: 631.7.3 G584 HAM Record No: H096)
3 Levine, G.; Hart, H. C. 1981. Mobilizing local resources for irrigation. New York, NY, USA: Agricultural Development Council. 16 p. (Agricultural Development Council report no. 22)
(Location: IWMI-HQ Call no: 631.7.3 G572 LEV Record No: H060)
Summary of a seminar held in Colombo, Sri Lanka, 11th-15th August 1980
4 Chawdhuri, S. D.; Gisselquist, D. 1984. Command area development for minor irrigation: Integration of organizational, economic, agronomic, engineering and institutional components. Dhaka, Bangladesh: Soil and Irrigation Division. Bangladesh Agricultural Research Council. iv, 64p.
(Location: IWMI-HQ Call no: 631.7.6 G584 CHA Record No: H062)
5 Karim, Z.; Nelson, L. J.; Idris, M.; Baxter, J. C.; Khan, C. M. A.; Oad, R. N.; Podmore, T. H.; Hossain, M. I.; Haider, M. I.; Karim, K. B.; Laitos, W. R. 1983. Diagnostic analysis of five deep tubewell irrigation systems in Joydebpur, Bangladesh. Fort Collins, CO, USA: University Services Centre. Colorado State University. xiii, 209p. (Water management synthesis report no.15)
(Location: IWMI-HQ Call no: 631.7.6.3 G584 KAR Record No: H064)
6 Pradhan, P. 1983. Irrigation service fee study: Nepal. Lalitpur, Nepal: Development Research Group Pvt Ltd. 133p.
(Location: IWMI-HQ Call no: 631.7.4 G726 PRA Record No: H0114)
7 Torres, R. D. 1975. Pricing irrigation water. In International Rice Research Institute. Water management in Philippine irrigation systems: research and operations. Los Banos, Laguna, Philippines: International Rice Research Institute (IRRI). pp.183-194.
(Location: IWMI-HQ Call no: 631.7.6 G732 INT Record No: H017)
The present system of pricing of irrigation water in the gravity irrigation systems of the Philippines results in inefficient allocation and use of water. Furthermore, the low price of water results in the capitalization of irrigation benefits into land values. Hence, landowners are the major beneficiaries. Gradually increasing the price of water so that it is more in line with its opportunity cost under optimum management would improve the economic efficiency of water use and encourage the collection of government revenues for further public investment. As soon as practicable, water should be metered directly to farmers' paddy fields and the water charged based upon the amount actually diverted.
8 Reddy, J. M.; Clyma, W. 1984. Optimal design of border irrigation systems. Cairo: Egypt Water Use and Management Project. vi, 34p. (EWUP technical report no.17)
(Location: IWMI-HQ Call no: 631.7.2 G232 RED Record No: H044)
Using a surface irrigation hydraulics model, relationships were developed between water requirement efficiency and the system design variables. Acrop production function was utilized to relate crop yield to the water requirement efficiency. Gross returns from the crop, and the costs of water, labor, ditch construction and crop production were considered in the optimization problem. Several system constraints were incorporated into the design process. The generalized geometric programming technique was applied to the optimaldesign of border and basin irrigation systems. The design variables were: the length of the run, inflow rate into the border, time of inflow, number of lengths of run, width of the border, and the number of border widths in the field.
(Location: IWMI-HQ Call no: 631.7.6.2 G635 IND Record No: H047)
Vol.1 - Report; Vol. 11 - Background information
10 Nickum, J. E. 1982. Irrigation management in China: A review of the literature. Washington, DC, USA: World Bank. [6], iv, 106p. (World Bank staff working paper no.545)
Call no: 631.7 G592 NIC Record No: H0222)
(Location: IWMI-HQ Call no: P 516 Record No: H0459)
12 ADB. 1980. Irrigation development and management: Proceedings of the ADB regional seminar , Manila, 29 Jan - 16 Feb 1974. Manila, Philippines: ADB. xi, 267 p.
(Location: IWMI-HQ Call no: 631.7.8 G570 ASI Record No: H0488)
13 Ali, S. H. 1982. Report of the Commission for Irrigation Utilization: Government of Andhra Pradesh. Hyderabad, India: Irrigation Department. 2 Vols. [xix, 104 p.; [4], 180 p.]
(Location: IWMI-HQ Call no: 631.7.8 G635 ALI Record No: H0617)
14 Saksena, R. S. 1995. Microirrigation in India - Achievement and perspective. In Lamm, F. R. (Ed.), Microirrigation for a changing world: Conserving resources/preserving the environment: Proceedings of the Fifth International Microirrigation Congress, Hyatt Regency Orlando, Orlando, Florida, April 2-6, 1995. St. Joseph, MI, USA: ASAE. pp.353-358.
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018872)
15 Easter, K. W.; Welsch, D. E. 1983. Socioeconomic issues in irrigation development and distribution. St. Paul, MN, USA: Department of Applied and Agricultural Economics. University of Minnesota. 64p. (Department of Applied and Agricultural Economics report 83-5)
(Location: IWMI-HQ Call no: 631.7.4 G000 EAS Record No: H0837)
16 ESCAP. 1981. Proceedings of the Expert Group Meeting on Water Pricing, held at Bangkok, Thailand 13-19 May 1980. New York, NY, USA: UN. 83 p. (ESCAP water resources series no. 55)
(Location: IWMI-HQ Call no: 631.7.4 G000 ESC Record No: H0831)
(Location: IWMI-HQ Call no: 631.7.6.1 G726 SHR Record No: H0859)
18 Ciriacy-Wantrup, S. V. 1954. Cost allocation in relation to western water policies. Journal of Farm Economics, 36(1):108-129.
(Location: IWMI-HQ Call no: P 1260 Record No: H0901)
(Location: IWMI-HQ Call no: P 1412 Record No: H0879)
Previous studies of optimum water pricing and capacity expansion have ignored the political administrative factors which limit the range of feasible decisions. A general model is presented for identifying the water price horizon so as to maximize the present value of net benefits. Constraints on the range of water price, the rate of price change, and financial cost recovery are included in the model. The model is applied to a hypothetical case study of an urban water supply system. The results indicate that optimum water pricing and capacity expansion policies are likely to achieve some increase in economic benefits when compared with average cost pricing. Administrative and political constraints tend to reduce these benefits but result in more acceptable pricing policies.
(Location: IWMI-HQ Call no: P 1413 Record No: H0898)
A general model for constrained optimum water pricing and capacity expansion is applied to the twin cities of Kitchener-Waterloo (KW), Ontario. The model identifies the water price and water supply capacity, which maximizes the present value of net economic benefits over a planning horizon. Constraints on the rate of price change and financial cost recovery are included. Results for KW indicate that significant economic benefits can be achieved by jointly optimizing decisions about water pricing and capacity expansion. It is also shown that optimum policies are compatible with the goal of financial cost recovery on the part of the supply authority. The benefits of optimum pricing and capacity expansion are likely to be greatest in water supply systems which exhibit economics of scale or in the cities where the rate of population growth is small.
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