Water-Management Policies: Economic Modeling and Applications to Israel
Abstract:
We develop a dynamic partial-equilibrium mathematical-programming model for economic analyses of water management policies at the state level. Calibrated and applied to the case of Israel, the model incorporates the country’s integrated water and vegetative agricultural sectors. We use the model to design an optimal water-infrastructure development plan, analyze cost-recovery pricing schemes, and assess the economic implications of irrigation water salinity and climate change.
Bio:
Iddo Kan's scientific interests incorporate water and agricultural economics, environmental and resource economics, regional and political economics. Owing to his background in the scientific disciplines of soil and water (B.Sc.) and agricultural and environmental economics (Ph.D.), his expertise is in integrating natural processes into economic analyses with the objective of characterizing management strategies and policies under optimal and/or equilibrium conditions. His analytical approaches employ programming models used for theoretical analyses and empirical applications, and applications of econometric methods.
Summary:
Water policy
Consumers with different demands
Spatiotemporal variability
Uncertainty about physical attributes of water supply
Property rights
Externalities (pollution, extraction, recreation, tourism)
Economies of scale (natural monopoly)
Dynamics of renewable vs non-renewable water resources
Backstop technologies (price of water can’t exceed cost of desalination)
Cross-border effects (international resource sharing)
Conclusion: complex issue; government intervention is essential!
Water Legislation in Israel
Water is public property
Centrally managed (vulnerable to political pressure but also reduces transaction costs)
Challenges of the Israeli Water Economy
North-South gradient of climate
Most water is in the North, needs to be moved to the South
Population is concentrated in the Center
Agriculture is concentrated in Center and South
Rainfall fluctuates significantly over time, with drought periods
Rainy winter, dry summers
Agricultural irrigation is most intensive in summer
Requires
Water storage
Desalinization
Wastewater treatment
Extensive network of water pipes to move water North to South and from wastewater and desalination sources
Water quality
Treated water has 3 quality levels (primary, secondary and tertiary treatments), and regulations mandate meeting standards with respect to many different contaminants
Different levels of salinity
Population is growing quickly
Goals:
Develop integrated agro-hydro economic model
Derive economic analyses and policy recommendations
Infra development
Water pricing
Analyzing impacts of exogenous changes and policy choices
MYWAS-VALUE model (This is the version calibrated to 2015 data. The version calibrated to 2019 data has not yet been published).
MYWAS: water
Regional urban and agricultural water demand
Costs of treatment, conveyance
Capacity extension costs
Constraints
VALUE: vegetative agriculture
Land use
Water-salinity production
Demand for agricultural products
Pricing
MYWAS topology
16 aquifers, lakes, 19 wastewater treatment plants, …
18 agricultural and 21 urban regions
Piping network between them: separate freshwater, brackish water, wastewater and agricultural transport systems
VALUE: positive mathematical programming model
Considers
Supply/demand curves for each crop, to determine price
The tradeoff between area allocated to each crop and the profit per hectare for the crop
Can compute optimal allocation of land to crops
Can model shocks to system:
Impact of drought that reduces crop yields
Impact of using saltier water for a given crop (cheaper water, lower yield)
Investment in desalination plant
PMP approach:
Rationalizes diversification of land use by calibrating a non-linear function that represents farmers’ unobserved considerations
Assumes the cost is very high for first liter but drops with scale
Enables productive agriculture, which produces profits
Quality of desalinated water can be higher than groundwater
Desalinated water can thus produce higher yields and higher profits
Water sent to farmers is priced based on cost of desalination and whether farmers can profit from it
Cost-effectiveness of plant depends on the increased profits from agriculture at given water production level vs. the cost of desalination
Can compute optimal water price and whether the desalination plant should be built:
Under population growth, which shifts the water demands
Desalination-capacity is expanded once the surpluses in the agri-water economy exceed the investment costs
Effects of ignoring salinity changes
Compute optimal water supply infrastructure solution
Compute solution with salinity fixed (changes in salinity ignored) to obtain suboptimal infrastructural development plan
Then use this infrastructural plan to get the optimal farmer reactions to this infrastructure, while accounting for the changes in salinity
Compute solution with salinity fixed (changes in salinity ignored)
Then use this solution to get the optimal farmer reactions to this infrastructure
Compare the two outcomes
Optimal solution:
More desalination, less wastewater and freshwater use
Higher overall welfare by $360 million/year (~10% of the annual cost of the water economy)
Urban users and agricultural product consumers benefit most from optimal solution
Impact of reduction in precipitation:
1% change = $22 million / year
Farmers affected most
Israel may see 20% reduction in rain due to climate change 2040-2060
Possible model extensions:
Endogenize water treatment technologies: make choice dependent on the state of the water system
Evaluate growing grains domestically in Israel
Change water system
Reduce meat consumption
Energy/agriculture interactions: agri-voltaic technology
Modeling trees as they grow over multiple years