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Improving the performance
            of
     public irrigation
      in South Asia
Thierry Facon, FAO

Aditi Mukherji, IWMI
Public irrigation in South Asia in short


• India                              • Pakistan
   – Protective irrigation              – Indus system
   – Low duties: 0.35 l/s/ha            – Protective irrigation
   – Warabundi                          – Low duties
   – Shejpahi                           – Warabundi
   – Block                              – Salinization
   – Structured design                  – Waterlogging


    -Impact on food security, poverty alleviation and economic
    growth
    -Equity not achieved, reliability dubious, flexibility very low
    -Stagnation/decline
    -Low flowrates and poor service push farmers to groundwater
    which has allowed intensification
Structured design
Proportional flow division


• Can you grow
  cash crops?
• Can you adopt
  water saving
  technologies?
Multifunctionality
• Multiple Uses of Water is a common practice !
• On a subset of 30 systems only 2 appear as single use !
• Actual water productivity much higher than WP(crop) !
                                          100%
    Share of estimated benefits




                                             80%
                                                                                                                   Power

                                             60%                                                                   Drainage, Flood control,
                                                                                                                   transport, environment
                                                                                                                   Homestead garden & natural
                                             40%
                                                                                                                   vegetation
                                                                                                                   Fish
                                             20%
                                                                                                                   Domestic & Industry (incl
                                                                                                                   tourism)
                                             0%                                                                    Animals
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                                                      am




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                                                       S
Poor water delivery service at all levels
Poor service levels

Overestimated by
management
(chaos <1)
Applying modern water control concepts helps
especially at main canal levels


                     • A
Improving the main canals assists in
improving service down to the farm
• Well-run management outfits help
• Budgets help but are not sufficient
Lessons & Issues in short (3)
Multivariable analysis performed to explain L&W Productivity

Model [Log WP] = 3.3-0.642*Log duty -0.287*LogCA
                 -0.463*ETo-0.238 *Rain

[ 70 % of variability explained]

Duty = Irrigation depth

CA= Command area

Most variability explained by duty !

Land Productivity:        No significant model !
Log WP = 3.3-0.642*Log duty -0.287*Log CA-0.463*ETo-0.238 *Rain



                                                                                                            0.4

                                                                                                            0.2
MODEL = f(log Duty, log CA, ETo, Rain)




                                                                                                              0
                                         -1.8   -1.6   -1.4   -1.2    -1      -0.8    -0.6    -0.4   -0.2          0   0.2
                                                                                                            -0.2

                                                                                                            -0.4

                                                                                                            -0.6

                                                                                                            -0.8

                                                                                                             -1

                                                                                                            -1.2

                                                                                                            -1.4

                                                                                                            -1.6

                                                                                                            -1.8
                                                                     Log Water Productivity
Lessons learnt

Significant correlation between

Types of systems for SERVICES     &   L&W PRODUCTIVITY


 Group High High                           1965 $/ha 0.18 $/m3
 [High service at MC-SC and High at field]

 Group Medium Low                         1200 $/ha 0.10 $/m3


 Group Low Low                            924 $/ha   0.073 $/m3
Actual Water Service individual unit


AWDS = f[ Employees, MCI, Size of WUA]

explain 45 % of the variability

                                                                                                                                                                                           Partial Regression Plot                                                                                                Partial Regression Plot
                                                                      Partial Regression Plot


                                                                                                                                                                         Dependent Variable: Actual WDS to individual ownership units                                                           Dependent Variable: Actual WDS to individual ownership units
                                                  Dependent Variable: Actual WDS to individual ownership units




                                                                                                                                                                                                                                              Actual WDS to individual ownership units
                                                                                                                       Actual WDS to individual ownership units




                                                                                                                                                                  1.5                                                                                                                    1.5
Actual WDS to individual ownership units




                                           1.5


                                                                                                                                                                  1.0                                                                                                                    1.0
                                           1.0


                                                                                                                                                                  0.5                                                                                                                    0.5
                                           0.5


                                                                                                                                                                  0.0                                                                                                                    0.0
                                           0.0



                                           -0.5                                                                                                                   -0.5                                                                                                                   -0.5



                                           -1.0                                                                                                                   -1.0                                                                                                                   -1.0



                                           -1.5                                                                                                                   -1.5                                                                                                                   -1.5

                                                  -1.0         -0.5          0.0          0.5        1.0         1.5                                                     -1.5       -1.0      -0.5       0.0         0.5      1.0       1.5                                                     -5000       0        5000       10000       15000   20000      25000
                                                                           Main Canal Indicator                                                                                                      Employees                                                                                                          Size of WUA hectares
• Strength of water
       WUA’s strength
  users associations
                              & Services
  plays very little role in
  improving service to
  farmers, productivity
  and upper level service
Having modern employee management (incentives,
                                                     Employee & Services
                                           empowerment, supervision, capacity building) is useful

                                           Note: the less the employees per ha the better for service
                                           4.0
                                                                    y = 0.5755x + 0.7342
                                                                         R2 = 0.3165

                                           3.5
Actual WDS to individual ownership units




                                           3.0


                                           2.5


                                           2.0


                                           1.5

                                                                                                                   4.0                                                              y = 0.5839x + 1.1763
                                           1.0
                                                                                                                                                                                         R2 = 0.2369
                                                                                                                   3.5
                                           0.5

                                                                                                                   3.0
                                           0.0
                                                 0.0   0.5   1.0   1.5        2.0          2.5   3.0                           3.5         4.0
                                                                                                  MC-SC Services




                                                                                                                   2.5
                                                                           Employee

                                                                                                                   2.0


                                                                                                                   1.5


                                                                                                                   1.0


                                                                                                                   0.5


                                                                                                                   0.0
                                                                                                                         0.0         0.5         1.0   1.5      2.0     2.5   3.0      3.5         4.0
                                                                                                                                                             EMPLOYEE
% Unlined & Services most dowsntream

3.5                                                                              Canal lining
3.0

2.5

2.0

1.5                                  y = -0.0036x + 1.747                           No influence on
                                          R2 = 0.0437
1.0                                                                                  performance
0.5

0.0
      0.0   20.0     40.0     60.0           80.0            100.0       120.0


                                                                        productivity and cc lining

                                                 1.4

                                                 1.2

                                                 1.0

                                                 0.8
                                          $/m3




                                                 0.6

                                                 0.4

                                                 0.2                                         y = -0.0013x + 0.2515
                                                                                                    2
                                                                                                  R = 0.06
                                                 0.0
                                                       0.0       20.0        40.0     60.0          80.0        100.0   120.0
                                                                                    % unlined
THE PROBLEM OF CANAL LINING
 • Canal lining is a very expensive element in canal construction. Cost of
   lining typically represents about 40% of total cost.
 • Before making such a large investment, there must be a clear idea of the
   benefits to be obtained
 • Seepage losses typically represent 10 to 40 percent of diverted water
 • The reduction of seepage losses is often assumed to be constant for the
   expected life of the lining to have a chance of achieving a favorable
   economic return
 • Most favored by agencies

• There is now strong evidence that hard
  surface linings deteriorate within a few
  years until seepage losses return to that
  for an unlined canal
Questions related to decision-
            making
• What is the reality do we want to
  improve?
• Water scarcity: what does it mean?
• How are decisions made?
• What are our objectives?
Virtual water reality …



Officially a dry crop system
     Virtual water reality
         THE TAIL-ENDER PROBLEM?


         Upper reach of a field channel
         near Mudhol


          Ghataprabha LBMC
THE TAIL-ENDER PROBLEM?


  End of the same field channel




Ghataprabha LBMC
IWMI3. Output per unit irrig. supply ($/cu. m.)                                     .
                                                                                                                           RID




                        0.00
                               0.05
                                          0.10
                                                 0.15
                                                        0.20
                                                               0.25
                                                                      0.30
                                                                             0.35
                                                                                    0.40
                                                                                                   0.45
                                                                                                               0.50


 Lam Pao, Thailand


           Dez, Iran


        Guilan, Iran


    Seyhan, Turkey


   Majalgaon, India


   Dantiwada, India


       Bhakra, India


    Muda, Malaysia


  Kemubu, Malaysia


Beni Amir, Morocco
                                                                                           GLBC = US$0.23/m3




Office du Niger, Mali


 Rio Yaqui Alto, DR


   Coello, Colombia
                               No sugarcane




 Saldaña, Colombia


  Cupatitzio, Mexico


  Rio Mayo, Mexico
                                                                                                                   ch112




 Cam Sun, Vietnam
Sanctioned areas

              Sanctioned supply



     Groundwater pumped from within CA (left)
     to outside the CA (right)



Ghataprabha LBMC
• Head of WUCS
Wrong hydraulics: they receive much
  more than they should




Ghataprabha LBMC
West Krishna Delta
ency
                            I TRC10. Annual Pr oj ect I r r i gat i on Ef f i ci .




                           0
                                10
                                     20
                                          30
                                                40
                                                     50
                                                          60
                                                                    70
                                                                                80
                                                                                            90
                                                                                                      100
           Th la
 L a mPa o , a i n d


                  r
                  I
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             a r
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 c
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 f        g Ma i
Of e d u Ni e r , l


  o          o
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                                                               confidence interval is +/- 30%




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                                                               improve efficiency by 20% if the




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                                                                                                                 Uncertainty on basic




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                                                                                                                performance indicators
                                                               How can you evaluate an objective to




   o        Me c
  Ri Ma y o , x i o


          Vi n
 Ca mSu n , e t a m
                                                                                                        ch125
Virtual reality 1: pretend that it
               does not exist
Types of problems with virtual reality:

• Policy: maybe what we see outside the window is good but are the
  bad aspects? What can be made more sustainable and how to fix it?
• We ignore problems: because infrastructure exists does not mean it is
  alright and that the only problem is governance or management
• We invent problems that don’t exist to justify a favored solution

• We ignore opportunities:
      • WUAs focused on canal management- can we reduce their
        pumping costs?
      • Multiple Use Systems: more MDGs per drop, more $/m3
Improving productivity or
            efficiency?
   “As irrigation is inefficient (30% of the water
  diverted reaches the plant), we can reduce the
  waste and losses and reallocate this to other
  users by increasing irrigation efficiency”

Physical water scarcity
• Basin closure
• What is recoverable is recovered
Irrigation efficiency

• Confusion between field/system efficiency and
  basin efficiency is common and underpins
  many policies and investments

• Field efficiency and more efficient
  technologies can be very good (energy, water
  quality, sometimes in-stream flow, reducing
  drainage, money, labor, etc.)
River basin closure processes

•   overbuilding of river basins
•   overallocation of entitlements
•   overdraft of reservoirs and aquifers
•   double squeeze of agricultural water use, due
    to declining water availability and quality and
    rising urban and environmental needs
Virtual reality 2: “problems are serious but we can
   easily save much and/or get additional water”



• Some water can be saved but not as much as is
  claimed
• When agricultural water management is moderately
  good, things tend to a zero sum game
• Increasing efficiency, more efficient technologies (and
  thus water rights and water pricing) often leads to
  increased water consumption (ET)


• Problems are becoming wicked
Irrigation agencies
•   Development ethos
•   Bureaucratic top-down management
•   Accountability, clientelism
•   Rigidity and path dependency:
    –   How things are seen
    –   Education
    –   Management style and incentives
    –   Standard designs
    –   Consulting firms
– Vested interests
South Asia
• Many trends favor atomistic/informal except energy
  prices
• The groundwater crisis and energy prices may generate
  a pressure to improve public irrigation
• Need to manage atomistic irrigation within large scale
  canal commands

=> Incentives for large-scale effects of individual behavior may be
  needed in addition to interventions on the surface side
South Asia
A BIG STRATEGIC CHOICE TO MAKE:
ignore or acknowledge atomistic irrigation and groundwater issues

AFFECTS ALL FORMS OF IRRIGATION AND LARGE SCALE
  WATER RESOURCES MANAGEMENT


• Existing large-scale to mimic atomistic irrigation
Modernization:
From supply-driven to service-oriented
           management

                               Service:
                               • Equity
                               • Reliability
                               • Flexibility
                                  – Rate
                                  – Duration
                                  – Frequency
                               • Adequacy
                               • Lift/ pressure
Service => Operation
strategy/flow control system =>
   Infrastructure design and
      management needs
Working out evolution paths
• Unbundling
  – Different levels, each providing service to the lower level
    (this may include recharge)
  – At each level:
      • Service transactions: water, information, money
      • Nature of operator
      • Conveyance technology: canal/pipe
      • Seepage or no seepage
      • Surface/pressure
      • Interface: extend or separate management:
                      » Buffer reservoir or pond/tank
                      » Pumping
Working out evolution paths
• Major decisions:
   •   Radical or progressive improvement
   –   Service to farmers and other uses and users
   –   Service/technology to farmers
   –   If competition from atomistic or unsustainable atomistic
         • Match/mimic
         • Conjunctive management
   –   Energy an increasing factor => surface or lower lift or water
       conservation
   –   How many levels of operators (not PIM committees)
   –   Costs: Financial or investment strategies at each level
   –   Final delivery point
Improving the decision making process

•   Exit the virtual reality
•   Water auditing and accounting
•   Strategic planning
•   Capacity building
•   Institutions
•   Policy
•   Governance
•   Monitoring of investments and results
Policy

• Acknowledge the nature of the water economy
• Monitoring of investments and results
• Plan B, second-best and lateral options
• Policy/politicians: the art of the possible
• Change the practice on the ground to improve
  conditions for feasibility or acceptability of new
  policies: build a constituency for change
• Focus on important details
Institutions
• Beyond classical IMT/PIM
• Not just PPP
• Improve service to water user federations/associations
•  Many institutional innovations in both informal economies
  and formal economies
• MASSCOTE, large powerful professional farmer-owned
  organizations managing (not necessarily themselves) canal
  supply, rainfall and groundwater
• How to combine service orientation and regulation of
  atomistic irrigation?
Governance

• Can one separate evolution of governance from the
  political system?

• From representative democracy to monitory
  democracy : a lot of action and political innovation in
  the water area (because water is important), e.g.
  yellow score cards, mass social movements

  (John Keane, Life and death of democracy)
CONCLUSIONS


• Existing large scale systems need to transform
• Towards a fluid logic of complementarily, combination and
  convergence between public, small scale and atomistic
  irrigation
• There are some good ideas and strategies, inspiring
  examples, tools/knowledge
ONE ISSUE

• Will the present crises and challenges in cluding
  food crisis, economic crisis, energy crisis, climate
  change … will be met by more of the same supply-
  driven top-down responses or by a wholesale
  change of management of the sector and innovation?
   => Strategies to bring about this change?
   => What/who can serve as catalysts?
Revitalizing Asia’s irrigation

1. Modernise yesteryears’ schemes for tomorrow’s
   needs
2. Go with the flow by supporting farmers’ initiatives
3. Look beyond conventional PIM/IMT recipes
4. Build for the future: Expand capacity and
   knowledge
5. Look beyond irrigation: Invest outside the water
   sector
  Combine elements from all 5 strategies for
   improving the performance of irrigation
Improving the performance of public irrigation in South Asia, by Thierry Facon, FAO and Aditi Mukherji, IWMI

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Improving the performance of public irrigation in South Asia, by Thierry Facon, FAO and Aditi Mukherji, IWMI

  • 1. Improving the performance of public irrigation in South Asia Thierry Facon, FAO Aditi Mukherji, IWMI
  • 2. Public irrigation in South Asia in short • India • Pakistan – Protective irrigation – Indus system – Low duties: 0.35 l/s/ha – Protective irrigation – Warabundi – Low duties – Shejpahi – Warabundi – Block – Salinization – Structured design – Waterlogging -Impact on food security, poverty alleviation and economic growth -Equity not achieved, reliability dubious, flexibility very low -Stagnation/decline -Low flowrates and poor service push farmers to groundwater which has allowed intensification
  • 4. Proportional flow division • Can you grow cash crops? • Can you adopt water saving technologies?
  • 5. Multifunctionality • Multiple Uses of Water is a common practice ! • On a subset of 30 systems only 2 appear as single use ! • Actual water productivity much higher than WP(crop) ! 100% Share of estimated benefits 80% Power 60% Drainage, Flood control, transport, environment Homestead garden & natural 40% vegetation Fish 20% Domestic & Industry (incl tourism) 0% Animals a am am a a di in nk In tn tn ch La Crops ie ie ka he V V ri ta S ng H H na H H Za iB ar B P rK IS g ta on O pu g D K on ha im Lu ha K S
  • 6. Poor water delivery service at all levels
  • 7. Poor service levels Overestimated by management (chaos <1)
  • 8. Applying modern water control concepts helps especially at main canal levels • A
  • 9. Improving the main canals assists in improving service down to the farm
  • 10. • Well-run management outfits help • Budgets help but are not sufficient
  • 11. Lessons & Issues in short (3) Multivariable analysis performed to explain L&W Productivity Model [Log WP] = 3.3-0.642*Log duty -0.287*LogCA -0.463*ETo-0.238 *Rain [ 70 % of variability explained] Duty = Irrigation depth CA= Command area Most variability explained by duty ! Land Productivity: No significant model !
  • 12. Log WP = 3.3-0.642*Log duty -0.287*Log CA-0.463*ETo-0.238 *Rain 0.4 0.2 MODEL = f(log Duty, log CA, ETo, Rain) 0 -1.8 -1.6 -1.4 -1.2 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 -0.2 -0.4 -0.6 -0.8 -1 -1.2 -1.4 -1.6 -1.8 Log Water Productivity
  • 13. Lessons learnt Significant correlation between Types of systems for SERVICES & L&W PRODUCTIVITY Group High High 1965 $/ha 0.18 $/m3 [High service at MC-SC and High at field] Group Medium Low 1200 $/ha 0.10 $/m3 Group Low Low 924 $/ha 0.073 $/m3
  • 14. Actual Water Service individual unit AWDS = f[ Employees, MCI, Size of WUA] explain 45 % of the variability Partial Regression Plot Partial Regression Plot Partial Regression Plot Dependent Variable: Actual WDS to individual ownership units Dependent Variable: Actual WDS to individual ownership units Dependent Variable: Actual WDS to individual ownership units Actual WDS to individual ownership units Actual WDS to individual ownership units 1.5 1.5 Actual WDS to individual ownership units 1.5 1.0 1.0 1.0 0.5 0.5 0.5 0.0 0.0 0.0 -0.5 -0.5 -0.5 -1.0 -1.0 -1.0 -1.5 -1.5 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 -5000 0 5000 10000 15000 20000 25000 Main Canal Indicator Employees Size of WUA hectares
  • 15. • Strength of water WUA’s strength users associations & Services plays very little role in improving service to farmers, productivity and upper level service
  • 16. Having modern employee management (incentives, Employee & Services empowerment, supervision, capacity building) is useful Note: the less the employees per ha the better for service 4.0 y = 0.5755x + 0.7342 R2 = 0.3165 3.5 Actual WDS to individual ownership units 3.0 2.5 2.0 1.5 4.0 y = 0.5839x + 1.1763 1.0 R2 = 0.2369 3.5 0.5 3.0 0.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 MC-SC Services 2.5 Employee 2.0 1.5 1.0 0.5 0.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 EMPLOYEE
  • 17. % Unlined & Services most dowsntream 3.5 Canal lining 3.0 2.5 2.0 1.5 y = -0.0036x + 1.747 No influence on R2 = 0.0437 1.0 performance 0.5 0.0 0.0 20.0 40.0 60.0 80.0 100.0 120.0 productivity and cc lining 1.4 1.2 1.0 0.8 $/m3 0.6 0.4 0.2 y = -0.0013x + 0.2515 2 R = 0.06 0.0 0.0 20.0 40.0 60.0 80.0 100.0 120.0 % unlined
  • 18. THE PROBLEM OF CANAL LINING • Canal lining is a very expensive element in canal construction. Cost of lining typically represents about 40% of total cost. • Before making such a large investment, there must be a clear idea of the benefits to be obtained • Seepage losses typically represent 10 to 40 percent of diverted water • The reduction of seepage losses is often assumed to be constant for the expected life of the lining to have a chance of achieving a favorable economic return • Most favored by agencies • There is now strong evidence that hard surface linings deteriorate within a few years until seepage losses return to that for an unlined canal
  • 19. Questions related to decision- making • What is the reality do we want to improve? • Water scarcity: what does it mean? • How are decisions made? • What are our objectives?
  • 20. Virtual water reality … Officially a dry crop system Virtual water reality THE TAIL-ENDER PROBLEM? Upper reach of a field channel near Mudhol Ghataprabha LBMC
  • 21. THE TAIL-ENDER PROBLEM? End of the same field channel Ghataprabha LBMC
  • 22. IWMI3. Output per unit irrig. supply ($/cu. m.) . RID 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 Lam Pao, Thailand Dez, Iran Guilan, Iran Seyhan, Turkey Majalgaon, India Dantiwada, India Bhakra, India Muda, Malaysia Kemubu, Malaysia Beni Amir, Morocco GLBC = US$0.23/m3 Office du Niger, Mali Rio Yaqui Alto, DR Coello, Colombia No sugarcane Saldaña, Colombia Cupatitzio, Mexico Rio Mayo, Mexico ch112 Cam Sun, Vietnam
  • 23. Sanctioned areas Sanctioned supply Groundwater pumped from within CA (left) to outside the CA (right) Ghataprabha LBMC
  • 24. • Head of WUCS Wrong hydraulics: they receive much more than they should Ghataprabha LBMC
  • 26. ency I TRC10. Annual Pr oj ect I r r i gat i on Ef f i ci . 0 10 20 30 40 50 60 70 80 90 100 Th la L a mPa o , a i n d r I De z , a n a r l I Gu i n , a n Tu Se y h a n , r k e y ag n I a Ma j l a o n , d i w i n I a Da n t a d a , d i n I a Bh a k r a , d i Ma a a Mu d a , l y s i Ma a a Ke mu b u , l y s i Ami Mo Be n i r , r o c c o c i f g Ma i Of e d u Ni e r , l o o Al DR Ri Ya q u i t , confidence interval is +/- 30% o Co o a Co e l , l mb i improve efficiency by 20% if the d Co o a Sa l a ñ a , l mb i Uncertainty on basic z i o Me c Cu p a t i , x i o performance indicators How can you evaluate an objective to o Me c Ri Ma y o , x i o Vi n Ca mSu n , e t a m ch125
  • 27. Virtual reality 1: pretend that it does not exist Types of problems with virtual reality: • Policy: maybe what we see outside the window is good but are the bad aspects? What can be made more sustainable and how to fix it? • We ignore problems: because infrastructure exists does not mean it is alright and that the only problem is governance or management • We invent problems that don’t exist to justify a favored solution • We ignore opportunities: • WUAs focused on canal management- can we reduce their pumping costs? • Multiple Use Systems: more MDGs per drop, more $/m3
  • 28. Improving productivity or efficiency? “As irrigation is inefficient (30% of the water diverted reaches the plant), we can reduce the waste and losses and reallocate this to other users by increasing irrigation efficiency” Physical water scarcity • Basin closure • What is recoverable is recovered
  • 29. Irrigation efficiency • Confusion between field/system efficiency and basin efficiency is common and underpins many policies and investments • Field efficiency and more efficient technologies can be very good (energy, water quality, sometimes in-stream flow, reducing drainage, money, labor, etc.)
  • 30. River basin closure processes • overbuilding of river basins • overallocation of entitlements • overdraft of reservoirs and aquifers • double squeeze of agricultural water use, due to declining water availability and quality and rising urban and environmental needs
  • 31. Virtual reality 2: “problems are serious but we can easily save much and/or get additional water” • Some water can be saved but not as much as is claimed • When agricultural water management is moderately good, things tend to a zero sum game • Increasing efficiency, more efficient technologies (and thus water rights and water pricing) often leads to increased water consumption (ET) • Problems are becoming wicked
  • 32. Irrigation agencies • Development ethos • Bureaucratic top-down management • Accountability, clientelism • Rigidity and path dependency: – How things are seen – Education – Management style and incentives – Standard designs – Consulting firms – Vested interests
  • 33. South Asia • Many trends favor atomistic/informal except energy prices • The groundwater crisis and energy prices may generate a pressure to improve public irrigation • Need to manage atomistic irrigation within large scale canal commands => Incentives for large-scale effects of individual behavior may be needed in addition to interventions on the surface side
  • 34. South Asia A BIG STRATEGIC CHOICE TO MAKE: ignore or acknowledge atomistic irrigation and groundwater issues AFFECTS ALL FORMS OF IRRIGATION AND LARGE SCALE WATER RESOURCES MANAGEMENT • Existing large-scale to mimic atomistic irrigation
  • 35. Modernization: From supply-driven to service-oriented management Service: • Equity • Reliability • Flexibility – Rate – Duration – Frequency • Adequacy • Lift/ pressure
  • 36. Service => Operation strategy/flow control system => Infrastructure design and management needs
  • 37. Working out evolution paths • Unbundling – Different levels, each providing service to the lower level (this may include recharge) – At each level: • Service transactions: water, information, money • Nature of operator • Conveyance technology: canal/pipe • Seepage or no seepage • Surface/pressure • Interface: extend or separate management: » Buffer reservoir or pond/tank » Pumping
  • 38. Working out evolution paths • Major decisions: • Radical or progressive improvement – Service to farmers and other uses and users – Service/technology to farmers – If competition from atomistic or unsustainable atomistic • Match/mimic • Conjunctive management – Energy an increasing factor => surface or lower lift or water conservation – How many levels of operators (not PIM committees) – Costs: Financial or investment strategies at each level – Final delivery point
  • 39. Improving the decision making process • Exit the virtual reality • Water auditing and accounting • Strategic planning • Capacity building • Institutions • Policy • Governance • Monitoring of investments and results
  • 40. Policy • Acknowledge the nature of the water economy • Monitoring of investments and results • Plan B, second-best and lateral options • Policy/politicians: the art of the possible • Change the practice on the ground to improve conditions for feasibility or acceptability of new policies: build a constituency for change • Focus on important details
  • 41. Institutions • Beyond classical IMT/PIM • Not just PPP • Improve service to water user federations/associations • Many institutional innovations in both informal economies and formal economies • MASSCOTE, large powerful professional farmer-owned organizations managing (not necessarily themselves) canal supply, rainfall and groundwater • How to combine service orientation and regulation of atomistic irrigation?
  • 42. Governance • Can one separate evolution of governance from the political system? • From representative democracy to monitory democracy : a lot of action and political innovation in the water area (because water is important), e.g. yellow score cards, mass social movements (John Keane, Life and death of democracy)
  • 43. CONCLUSIONS • Existing large scale systems need to transform • Towards a fluid logic of complementarily, combination and convergence between public, small scale and atomistic irrigation • There are some good ideas and strategies, inspiring examples, tools/knowledge
  • 44. ONE ISSUE • Will the present crises and challenges in cluding food crisis, economic crisis, energy crisis, climate change … will be met by more of the same supply- driven top-down responses or by a wholesale change of management of the sector and innovation? => Strategies to bring about this change? => What/who can serve as catalysts?
  • 45. Revitalizing Asia’s irrigation 1. Modernise yesteryears’ schemes for tomorrow’s needs 2. Go with the flow by supporting farmers’ initiatives 3. Look beyond conventional PIM/IMT recipes 4. Build for the future: Expand capacity and knowledge 5. Look beyond irrigation: Invest outside the water sector Combine elements from all 5 strategies for improving the performance of irrigation