A comparison of demand-side water management strategies using disaggregate data

Public Works Management and Policy

Volumn 13, Issue 3, 2009, Pages 215-223

  Coleman, Eric A ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

Public information campaign; Water demand

Indexed keywords

EID: 65349171773     PISSN: 1087724X     EISSN: 15527549     Source Type: Journal    
DOI: 10.1177/1087724X08327648     Document Type: Article

References (31)

1. Arbués, F., & Barberán, R. (2004). Price impact on urban residential water demand: A dynamic panel data approach. Water Resources Research, 40, W11402.
2. Arbués, F., Garcí a-Valiñas, M.A., & Martí nez-Espiñeira, R. (2003). Estimation of residential water demand: A state-of-the-art review. Journal of Socio-Economics, 32, 81-102.
3. Baltagi, B.H. (2003). Econometric analysis of panel data (2 nd ed.). New York: Wiley.
4. Blaney, H.F., & Criddle, W.D. (1950). Determining water requirements in irrigation areas from climatological and irrigation data (USDA Tech. Bull. 1275). Beltsville, MD: USDA.
5. Brookshire, D.S., Burness, H.S., Chermak, J.M., & Krause, K. (2002). Western urban water demand. Natural Resources Journal, 42, 873-898.
6. Dalhuisen, J.M., Florax, R.J.G.M., de Groot, H.L.F., & Nijkamp, P. (2003). Price and income elasticities of residential water demand: A meta-analysis. Land Economics, 79, 292-308.
7. Danielson, L.E. (1979). An analysis of residential demand for water using micro time-series data. Water Resources Research, 15, 763-767.
8. Dziegielewski, B. (2003). Strategies for managing water demand. Water Resources Update, 126, 29-39.
9. Hanke, S.H. (1970). Demand for water under dynamic conditions. Water Resources Research, 6, 1253-1261.
10. Hewitt, J.A., & Hanneman, W.M. (2000). A discrete/continuous choice approach to residential water demand under block rate pricing. Land Economics, 76, 324-330.
11. Howe, C.W., & Linaweaver, F.P. (1967). The impact of price on water demand and its relation to system design and price structure. Water Resources Research, 3, 13-32.
12. Kennedy, Peter E. " Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations." American Economic Review 71: 801.
13. Michelson, A.M., McGuckin, J.T., & Stumpf, D. (1999). Nonprice water conservation programs as a demand management tool. Journal of the American Water Resources Association, 35, 593-602.
14. Nauges, C., & Thomas, A. (2000). Privately operated water utilities, municipal price negotiation, and estimation of residential water demand: The case of France. Land Economics, 76, 68-85.
15. Nieswiadomy, M.L. (1992). Estimating urban residential water demand: Effects of price structure, conservation, and education. Water Resources Research, 28, 609-615.
16. Nieswiadomy, M.L., & Molina, D.J. (1989). Comparing residential water demand estimates under decreasing and increasing block rates using household data. Land Economics, 65, 280-289.
17. Nieswiadomy, M.L., & Molina, D.J. (1991). A note on price perception in water demand models. Land Economics, 67, 352-359.
18. Nordin, J.A. (1976). A proposed modification of Taylor's demand analysis: Comment. Bell Journal of Economics, 7, 719-721.
19. Opaluch, J.J. (1984). A test of consumer demand response to water prices: Reply urban residential demand for water in the United States: Further discussion. Land Economics, 60, 417-421.
20. Renwick, M.E., & Archibald, S.O. (1998). Demand side management policies for residential water use: Who bears the conservation burden ? Land Economics, 74, 343-359.
21. Renwick, M.E., & Green, R.D. (2000). Do residential water demand side management policies measure up? An analysis of eight California water agencies. Journal of Environmental Economics and Management, 40, 37-55.
22. Renzetti, S. (2002). The economics of water demands. Boston: Kluwer Academic.
23. Salt Lake City Department of Public Utilities. (2002). 2002 Summer water management plan. http://www.ci.slc.ut.us/Utilities/NewsEvents/slideshow2.pdf
24. Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin.
25. Shin, J. (1985). Perception of price when price information is costly: Evidence from residential electricity demand. Review of Economics and Statistics, 67, 651-685.
26. Taylor, L.D. (1975). The demand for electricity: A survey. Bell Journal of Economics, 6, 74-110.
27. Taylor, R.G., McKean, J.R., & Young, R.A. (2004). Alternative price specifications for estimating residential water demand with fixed fees. Land Economics, 80, 463-475.
28. Utah Division of Water Resources. (2008). Drought in Utah: Learning from the Past, Preparing for the Future. Retrieved November 14, 2008 from http://www.water.utah.gov/DroughtReport/Drought2008A.pdf.
29. Utah Division of Water Resources. (2004). DWR weather data. Retrieved October 7, 2008, from http://www.conservewater.utah.gov/et/etsite/default.asp? summary.htm
30. Utah Division of Water Resources. (2003). Utah's M & I water conservation plan. http://www.conservewater.utah.gov/Final71403AACC.pdf Retrieved November 14.
31. Wooldridge, J.M. (2002). Econometric analysis of cross section and panel data. Cambridge, MA: MIT Press.