The Allocation and Pricing of Water in a River Basin

Guise, J. W. B.; Flinn, J. C.

doi:10.2307/1237393

Cited by 19 publications

(7 citation statements)

References 17 publications

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“…MATURING WATER ECONOMY 20 1 than zero in absolute value (Flinn 1969; Guise and Flinn 1970;Cull 1979), while there is even more evidence, along the same lines, for residential water demand (Howe and Linaweaver 1967;Hanke 1970;Young 1973;Morgan 1973;Gallagher and Robinson 1977).…”

mentioning

confidence: 99%

Property Entitlements and Pricing Policies for a Maturing Water Economy

Randall

1981

Australian Journal of Agricultural Economics

179

126

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The Australian water economy is entering a mature phase characterised by inelastic supply of 'new' water and the need for expensive rehabilitation of aging projects. Thus, the policy focus will turn increasingly toward ways of restraining water demand and reallocating existing supplies. A prima facie case is made that the efficiency loss from current water pricing and allocation policy is significant. After considering the relevant welfare economics theory, the theory of administered prices and marketable property rights and some American proposals for reform, a system of transferable water entitlements is proposed and developed.

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confidence: 99%

Property Entitlements and Pricing Policies for a Maturing Water Economy

Randall

1981

Australian Journal of Agricultural Economics

179

126

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“…In addition, Price Gittinger prepared a guide to the use of economic tools in capital allocation [1972]. Other interesting extensions of project and systems analysis include the allocation and pricing of water as well as floodplain planning (Guise and Flinn [1970], J. C. Day [1973]).…”

Section: Project Analysis and Water Resource Systemsmentioning

confidence: 99%

Natural Resource Economics

1978

American J Agri Economics

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In the first chapter of my dissertation, I assess the affect of wires alerts for exteme weather on hazard mitigation. Wireless alerts delivered through mobile phones are a recent innovation in regulatory efforts towards preparation for extreme weather events including flash floods. In this article, I use difference-indifferences models of car accidents and traffic volume, respectively, from days with government issued alerts for flash flood in the State of Virginia. I find that wireless messages for flash flood reduced car accidents by -17.3 percent and reduced traffic volume by -5.2 percent, relative to the predicted level using standard, non-wireless alert protocols. These results imply that wireless warning messages effectively contribute to reductions in exposure to hazards associated with extreme weather.In my second paper, I analyze the effects of a unique forest conservation policy on residential development and assess the additionality in forest cover due to this policy. I combine panel data on forest cover change from satellite imagery and parcel-level modeling on residential development, including residential subdivisions occurring before and after policy adoption. My results indicate that after introducing the policy, there was a 23% increase in forest cover within subdivisions relative to the amount without the policy.In my third and final paper, I assess the effect of a California 1992 wildfire hazard disclosure law on parcel level probability of development using panel data on the location and timing of residential development. I find that after the introduction of the hazard disclosure law, annual probability of development is reduced by -13% and -24%, for parcels located in high and very high severity areas, respectively.Based upon these results, the 1992 hazard disclosure law was at least moderately effective at updating homeowners' subjective perception of exposure to wildfire risk and reducing the rate of development in the highest severity locations. The remainder of this article is organized as follows. In the next section, Iprovide an overview of WEA policy adoption as well as the study area chosen for this analysis. Next, I describe the econometric model and data used to estimate the effect of WEA messages on car accident outcomes. This is followed by the empirical results and several robustness checks. I then present an analysis of potential mechanisms for car accident reductions using traffic volume data. I conclude with some summary remarks as well as implications for future research.6

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“…These models assunie perfectly inelastic demand for water. Clausen (1970) and Guise and Flinn (1970) recognize price-sensitiveness of the demand functions. Decomposition method and quadratic programming are used to solve these optimization problems.…”

Section: Introductionmentioning

confidence: 99%

AN OPTIMIZATION MODEL FOR EFFICIENT MANAGEMENT OF URBAN WATER RESOURCES¹

Narayanan

Jensen

Bishop

1977

J American Water Resour Assoc

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A mathematical programming model is proposed to determine economically efficient urban water resource allocation and pricing policy by maximizing the sum of the consumer and producer surplus. The optimization of this nonlinear problem is accomplished by the use of linear programming algorithm. The feasibility of using recycled water for municipal purposes is examined in a planning context. The impact of higher water quality discharge standards on pricing and allocation of water is analyzed and the attractiveness of water reuse option is demonstrated.

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The Allocation and Pricing of Water in a River Basin

Cited by 19 publications

References 17 publications

Property Entitlements and Pricing Policies for a Maturing Water Economy

Property Entitlements and Pricing Policies for a Maturing Water Economy

Natural Resource Economics

AN OPTIMIZATION MODEL FOR EFFICIENT MANAGEMENT OF URBAN WATER RESOURCES¹

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The Allocation and Pricing of Water in a River Basin

Cited by 19 publications

References 17 publications

Property Entitlements and Pricing Policies for a Maturing Water Economy

Property Entitlements and Pricing Policies for a Maturing Water Economy

Natural Resource Economics

AN OPTIMIZATION MODEL FOR EFFICIENT MANAGEMENT OF URBAN WATER RESOURCES1

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Resources

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AN OPTIMIZATION MODEL FOR EFFICIENT MANAGEMENT OF URBAN WATER RESOURCES¹