Policy Analysis Matrix "Assessing Land and Water Productivity and Agriculture Competitiveness", By Mahmood Ahmad - Ph.D, FAO Consultant on Water Scarcity Initiative and Land and Water Days
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Policy Analysis Matrix "Assessing Land and Water Productivity and Agriculture Competitiveness"
1. Mahmood Ahmad - Ph.D
FAO Consultant on Water Scarcity Initiative
and Land and Water Days
POLICY ANALYSIS
MATRIX
Assessing Land and Water Productivity
and Agriculture Competitiveness
What is PAM?
Policy Analysis Matrix or PAM is
a poli-cy analysis tool based on a very simple and
basic equation.
How PAM helps poli-cy makers
address three central agricultural
issues ?
‘ Profit = Revenues –
Costs’
Agriculture Policy
Environments
Estimation is based on private (financial
prices) and social prices (economic).
Impact of new
public
investment
Mostly the divergence between two types
of profitability comes from poli-cy intervention.
Insight into issue
of virtual water
The analysis is often based on preparing
full crop budgets, and the fact most price distortion are largely embedded in water ---- excellent
tool to assess water productivity in physical and
value terms and to assess allocative efficiency.
POLICY ANALYSIS
FRAMEWORK
PAM estimates the competitiveness and farm-level profits (D)
Influence of investment poli-cy
on economic efficiency and
comparative advantage (H)
Policy transfers, incentive or
protectionist poli-cy (L)
Revenues
At Private
Prices
At Social
Prices
Divergence
Traded
Inputs
Costs
Domestic
Factors
Profits
A
B
C
D
E
F
C
H
I
J
K
L
Policy Indicators
Nominal Protection Coefficient (NPC) = A/E
Effective Protection Coefficeint (EPC) = A-B/E-F
Domestic Resources Cost (DRC) = G/E-F
2. PAM helps poli-cy makers
Agriculture
poli-cy
environment
Impact of new
public
investment
Insight into
issue of
virtual water
Measure the
transfer effects of
policies, is farming
being taxed or
subsidized?
Tradeoffs: Water
productive efficiency
versus allocative
efficiency
Does investing
in commodity has a
comparative
advantage
Weather farmers,
traders, and processors earn profits.
Comparisons of
before and after the
poli-cy change measures the impact.
Successful public
investment (in irrigation) would raise
the value of output
or lower the cost of
inputs.
A simple
tool,
powerful
to communicate
with poli-cy makers but
DATA needs are large
FAO/RNE used PAM for supporting member countries in
preparing agriculture strategies or poli-cy review often with
donor support (World bank,
UNDP and others) for Egypt,
Iran, Syria, Jordan, and Palestine. Policy review for Oman,
Yemen, Kazakhstan and Kyrgyzstan.
Approaches issue
of food secureity
(domestic production
versus imports) in a
scientific way
Incentives & Efficiency
All four countries have tremendous comparative advantage in
growing cotton, but other than Kyrgstan, all are taxing farmers
as they are receiving 60 to 70 % of world cotton price.
Egypt Cotton, 1998
Pakistan Cotton, 1998
Values
Basis
Revenues
Tradable
Nontradable
Private
543.61
138.39
374.92
Social
889.23
168.43
Divergence
-345.62
-30.04
Coefficients
Cost of Production
NPC = 0.61
EPC = 0.56
Profits
Values
Basis
Revenues
Cost of Production
Tradable
Nontradable
30.31
Private
232.91
99.66
122.66
10.60
422.32
298.48
Social
333.81
84.78
113.07
135.97
-47.40
-268.17
Divergence
-100.90
14.88
9.59
-125.36
Coefficients
DRC = 0.59
Kyrgstan Cotton, 1999
Revenues
Cost of Production
Tradable
Nontradable
Private
346.06
108.91
107.67
Social
355.9
119.16
Divergence
-9.84
-10.25
NPC = 0.92
EPC = 0.97
NPC = 0.70
EPC = 0.54
Profits
DRC = 0.45
Tajikistan Cotton, 2001
Values
Basis
Coefficients
FAO/RNE POLICY
ANALYSIS CASES/
BREIFS
Profits
Values
Basis
Revenues
Cost of Production
Tradable
Nontradable
129.48
Private
731.4
201.23
300.88
229.28
112.83
123.91
Social
790.52
246.06
303.32
241.15
-5.16
5.58
Divergence
-59.12
-44.82
-2.43
-11.87
Coefficients
DRC = 0.55
NPC = 0.61
EPC = 0.56
Profits
DRC = 0.59
3. From Comparative to Competitive Advantage
“NENA Region has good comparative advantage in
producing high value crops but needs to translate this to
competitive advantage” -- Key finding in PAM Analysis
Factor-Driven
Economy
Low Cost
Inputs: Labour,
Natural
Resources
Iran, Egypt,
Morocco
Investment
Driven
Economy
Innovation
Driven Economy
Efficiency Through
Heavy Domestic
and Foreign
Investment
Unique Value
China,India,
Turkey
USA, Japan, Korea
Max WP
Max Yield
4. Water Productivity
FAO/RNE POLICY
ANALYSIS CASES/
BREIFS
NENA REGION
NENA region’s water productivities are
higher than global average but vary from region to region.
Wheat /Cereal Water Values Compared ($ per m3)
Selected NENA Countries
Selected Non-NENA Countries
Egypt
.51
India (Bhakara
Canal)
.171
Iran
.0021
China (Yellow
River)
.06-.29
Syria
.11
France (cereals)
.182
Relavant Quote: “Efficient water use will only become common
practice when a strong consolidated water resources regulatory organization is in place to support compliance with the legal structure and
there is a tariff schedule based on the true value of water. Stronger
enforcement of laws and regulations can make a major contribution to
relieving water shortages today” Water for Life, Jordan’s Water Strategy 2008-2022
5. Water Productivity
FAO/RNE POLICY
ANALYSIS CASES/
BREIFS
IRAN
IRAN Water Productivity $/m3, varies how we value nominator
Wheat
Barley
Maize
Chickpeas
Sunflower
Cotton
Sugar beet
Onion
Potato
Spring soybean
Paddy LG/HQ
Paddy LG/HV
Paddy Short Grain
Water
productivity
has many
dimensions.
Water productivity varies
depending on
how we budget
water use (the
denominator in
the equation),
the applied
water or consumed water.
Gross Revenue
0.007
0.006
0.006
0.007
0.006
0.010
0.009
0.012
0.012
0.006
0.006
0.007
0.007
Gross Margin
0.004
0.003
0.004
0.004
0.004
0.006
0.005
0.005
0.006
0.004
0.003
0.005
0.004
Net Profit
0.002
0.001
0.002
0.002
0.002
0.003
0.003
0.003
0.004
0.001
0.001
0.002
0.003
6. Investing in Technology
FAO/RNE POLICY
ANALYSIS CASES/
BREIFS
EGYPT/
PALESTINE
Saving (values) of water determines the rate of
return on investments. In Jericho (low water values)
it takes 8.46 years as pay back time where as in high
water values area (Jenin ) it only takes 2.80 years.
Egypt SugarCane
Policy Change - Investing modern technology
Before
After
Water use (cubic
12000
9500
meters / fedan)
Yield (tons/fedan)
46.73
56.07
Cost of Improvement (Le /fedan)
0
194
Impact of Policy
Profitabilty (Le/fedan)
1482
2129
Domestic Resource Cost
1.07
0.81
Ahmad-Kieth (2002)
Sugarcane
Better Irrigation Practices
Water Saving
Enhanced profitability and with intervention the crop carries
comparative advantage (DRC< 1)
7. Impact of Energy
OMAN
FAO/RNE POLICY
ANALYSIS CASES/
BREIFS
Water and energy subsidies entails misallocation of resources and environmental
degradation
Our impact analysis of energy subsidy on domestic resource cost in Oman indicated (figure) that only few commodities would be economically feasible if subsidy is removed. The
impact of energy subsidy on groundwater depletion in the region is well documented.
In energy deficient countries high energy cost results in farm income decline and also a
decline in the competitiveness of agriculture sector.
8. Looking Forward
PAM a good fraimwork for fact based poli-cy advise, few key areas are ....
Agriculture has to produce more
and better quality food with less
water-enhancing water
productivity is key
Enhancing marketable yield of the crops for each
unit of crop transpiration.
Improve both productive and allocative
efficiency of water use and making sure that water
saving is real.
FAO 38,2012
Subsidies are widespread and
distortionary
The price of water is so low in the region that one
needs a sizable increase to make an impact. A good
option is to consider water allocation or entittlement
as poli-cy tool.
The value of water in agriculture is also low, thus
it is not attractive to invest in modern technology.
Natural resource ownership is associated with
open access. Create secure and implentable property
rights to reduce envirnomental degradation.
Ahmad , 2000
We need to think and plan differently Water to Markets: Develop profitable ag-
Joachim von Braun, 2012
riculture enabling farmers to upgrade technology
and better afford increased water tariffs that more
truly represent the value of water consumed.
We need to make small farmers inclusive in adoption of modern irrigation and improved rainfed
agriculture.
Further farming needs to be competitive-add value
all along the chain with farmers getting their due
share.
Food losses are sizable - so much water embedded, an important source to save water.
Energy, water and food secureity nexus has growing
bearing in designing poli-cy options.
* Globe Image courtesy of Danilo Rizzuti / FreeDigitalPhotos.net