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Modeling Economywide Impacts of Water Policies in Pakistan
Sherman Robinson and Arthur Gueneau International Food Policy Research Institute (IFPRI)
May 23, 2013 – GWSP Conference,Bonn, Germany
Plan of the Presentation
• Motivation of the work
• Presentation of the CGE-W model– CGE model: IFPRI standard model
– Water model: RWSM
– Links: CGE-W
• Results– Impact of climate change
– Impact of Diamer-Basha dam
• Future work and conclusion
2
Motivation• Pakistan is subject to increasing water stress
– Expanding agriculture relies heavily on irrigation
– Hydropower important for increased energy demand
– Groundwater mining is pervasive
– Climate change is likely to disrupt flow patterns
• Large water infrastructure projects are needed and benefits have to be assessed:– Impacts are transmitted to the rest of the economy
through markets and changes in prices
– Potential use of simulation models to analyze water/economy/policy links
3
Modeling Paradigm
• CGE-W is a water/economic simulation model
– Water policies influence distribution of water
– Repercussion on crop yields
– Yield changes shock agricultural supply
– Economy reacts by reallocating production factors through market mechanisms and price changes
– Changes in prices affect farmers’ decisions for the following year
• Economic policies also have indirect impacts on the water sector 4
Why a coupled model?
• There are economic models with water factors
– Do not capture the complexity of the Indus basin
• There are water models with economic variables
– Do not capture economywide links between agriculture and the rest of the economy
• Our paradigm: Let each model do what it is best at and make them talk to each other
IFPRI Dynamic CGE-W Model
6
Economic policy options and trends, with land variable
Previous (or base) year water stress
Industrial and Domestic Water Demand
Agricultural demand for water by crops
Optimizes water distribution over months in the year
Calculates water shortages per water region by month
Allocates supply of available water to crops
Calculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by crop
CGE model solves for final equilibrium for current year
CGE
Model
Water
Demand
RWSM
Water
Stress
CGE
Model
Computable General Equilibrium
19
Economic policy options and trends, with land variablePrevious (or base) year water stress
Industrial and Domestic Water DemandAgricultural demand for water by crops
Optimizes water distribution over months in the yearCalculates water shortages per water region by month
Allocates supply of available water to cropsCalculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by cropCGE model solves for final equilibrium for current year
CGE Model
Water Demand
RWSM
Water Stress
CGE Model
Computable General Equilibrium (CGE) Models
• A standard tool of economic and policy analysis for the past 40 years
• Simulates operation of a market economy with supply/demand equilibrium determining prices
• IFPRI Standard CGE model (Lofgren and Robinson)
20
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Stylized CGE Model Structure
Activities
Commodity Markets
Factor
Markets
Rest of the World
Households Government Sav./Inv.
FactorCosts
Wages& Rents
Intermediate
Input Cost
Sales
PrivateConsumption
Taxes
Domestic Private Savings
Government
Consumption
Gov. Savings
Investment
Demand
ImportsExports
Foreign Savings
Transfers
Foreign Transfers
IFPRI Pakistan CGE Model
• Based on the 2007-2008 SAM of Pakistan (Dorosh et al., 2012).
– 63 activities and 48 commodities
– Special focus on agriculture (15 agric commodities)
– Large, medium, and small farms
• Distinguishes 19 types of households and 10 types of labor
• Distinguishes Punjab, Sindh, and other provinces for agricultural sector
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Water Demand Module
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Economic policy options and trends, with land variablePrevious (or base) year water stress
Industrial and Domestic Water DemandAgricultural demand for water by crops
Optimizes water distribution over months in the yearCalculates water shortages per water region by month
Allocates supply of available water to cropsCalculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by cropCGE model solves for final equilibrium for current year
CGE Model
Water Demand
RWSM
Water Stress
CGE Model
Water Demand Module
• Computes agricultural cropped area based on the CGE model results
• The water demand is then computed using FAO guidelines
• Industrial and Livestock water demand are proportional to the amount of activity in the sector
• Domestic water demand is proportional to household revenues
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RWSM-Pak Water Model
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Economic policy options and trends, with land variablePrevious (or base) year water stress
Industrial and Domestic Water DemandAgricultural demand for water by crops
Optimizes water distribution over months in the yearCalculates water shortages per water region by month
Allocates supply of available water to cropsCalculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by cropCGE model solves for final equilibrium for current year
CGE Model
Water Demand
RWSM
Water Stress
CGE Model
The Indus Basin
Source: NASA Earth Observatory Source: IWMI
32
CGE-W version of IBMR: RWSM
• Standalone water model: Regional Water System Model (RWSM).
• RWSM-Pak: Pakistan version– Hydrology similar to IBMR.
• RWSM does not have any internal representation of the economy– Links to CGE model for economic variables
• Objective is to minimize agricultural water shortages across all Pakistan
35
Regional Water Simulation Model –Pakistan (RWSM-Pak)
36
RWSM-Pak Overview
• Represents the 45 main canals, as well as the link canals between rivers
• Takes into account fresh and saline groundwater, as well as public and private tubewell pumping
• Can represent droughts and floods
• Includes 16 representative crops
• Takes into account industrial, domestic and livestock water demand (assumed to be drawn from groundwater mostly)
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Water Allocation Module
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Economic policy options and trends, with land variablePrevious (or base) year water stress
Industrial and Domestic Water DemandAgricultural demand for water by crops
Optimizes water distribution over months in the yearCalculates water shortages per water region by month
Allocates supply of available water to cropsCalculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by cropCGE model solves for final equilibrium for current year
CGE Model
Water Demand
RWSM
Water Allocation
CGE Model
Water Allocation Module
• In case of water stress, the yield of crops is reduced using the FAO Ky approach (Doorenbosand Kassam, “Yield Response to Water”,1979)
• We separate the stress during the four main growing stages of the crops and use a multiplicative approach to get the final value
• The allocation objective is to maximize the value of production in each of the water model areas, while minimizing risks for the farmers
40
Computable General Equilibrium
44
Economic policy options and trends, with land variablePrevious (or base) year water stress
Industrial and Domestic Water DemandAgricultural demand for water by crops
Optimizes water distribution over months in the yearCalculates water shortages per water region by month
Allocates supply of available water to cropsCalculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by cropCGE model solves for final equilibrium for current year
CGE Model
Water Demand
RWSM
Water Stress
CGE Model
The Two-Step Procedure
• The productions from the different areas are aggregated to the provincial level and to economically representative cropping activities
• The ratio of the current year yield to the base year yield is used to shock the production of crops in a second run of the CGE model
Illustrative Results
49
Economic policy options and trends, with land variablePrevious (or base) year water stress
Industrial and Domestic Water DemandAgricultural demand for water by crops
Optimizes water distribution over months in the yearCalculates water shortages per water region by month
Allocates supply of available water to cropsCalculates the impact of water stress on yields
Yield shocks affect agricultural production; land fixed by cropCGE model solves for final equilibrium for current year
CGE Model
Water Demand
RWSM
Water Stress
CGE Model
Illustrative Results
• We run the dynamic model for 45 years (2005 to 2050) using “guesstimated” growth coefficients
• Capital growth is endogenous in the CGE model
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0
50
100
150
200
250
300
3502
00
8
20
11
20
14
20
17
20
20
20
23
20
26
20
29
20
32
20
35
20
38
20
41
20
44
20
47
20
50
Baseline Projections - Historic Average Water Stress
GDP of Pakistan
Punjab Ag Production
Sindh Ag Production
OthPak Ag Production
GDP change adding variability and/or Basha dam
-2
-1.5
-1
-0.5
0
0.5
1
1.5
20
08
20
11
20
14
20
17
20
20
20
23
20
26
20
29
20
32
20
35
20
38
20
41
20
44
20
47
20
50
Average with Basha
Historic Inflows
Historic with Basha
Decadal GDP change under climate change with or without Basha dam
Scenario 2010s 2020s 2030s 2040s
MIROC A1B -0.18 -0.44 -0.56 -0.77
MIROC A1B with Diamer-Basha Dam 0.24 0.06 -0.01 -0.19
MIROC B1 -0.16 -0.40 -0.53 -0.72
MIROC B1 with Diamer-Basha Dam 0.26 0.11 0.01 -0.11
CSIRO A1B -0.12 -0.30 -0.47 -0.73
CSIRO A1B with Diamer-Basha Dam 0.30 0.19 0.07 -0.15
CSIRO B1 -0.05 -0.16 -0.25 -0.42
CSIRO B1 with Diamer-Basha Dam 0.36 0.32 0.26 0.16
Decadal agricultural production change under climate change
Scenario 2010s 2020s 2030s 2040s
MIROC A1B -2.00 -4.21 -3.74 -3.42
MIROC A1B with Diamer-Basha Dam 2.36 -0.38 -0.76 -1.60
MIROC B1 -1.79 -3.80 -3.64 -3.02
MIROC B1 with Diamer-Basha Dam 2.58 0.10 -0.68 -1.04
CSIRO A1B -1.33 -2.88 -3.41 -3.45
CSIRO A1B with Diamer-Basha Dam 3.05 0.93 -0.49 -1.63
CSIRO B1 -0.58 -1.58 -1.86 -1.95
CSIRO B1 with Diamer-Basha Dam 3.75 2.23 0.95 -0.03
Conclusion
• Climate variability (and water availability change) leads to wide GDP dips for Pakistan
• Climate change represents a serious threat to the economy of Pakistan due to its reliance on irrigated agriculture
• The Diamer-Basha dam can mitigate some of these effects until the 2030s in most climate change scenarios